MAGANG_TB_dan_PNP_2023/dashboard-admin
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update and setting

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This commit is contained in:
jilhanhaura 2023-08-27 12:48:57 +07:00
parent d09fd9f926
commit 91a96d5c16
4755 changed files with 1905686 additions and 950 deletions
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6
app/Models/Refund.php
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@ -22,7 +22,7 @@ class Refund
"seller" => "dedo", "seller" => "dedo",
"total" => "Rp. 11000", "total" => "Rp. 11000",
"date" => "August 19, 2023 ", "date" => "August 19, 2023 ",
"status"=>"Process Refund" "status"=>"Refund Success"
], ],
[ [
"orderId" => "INV-2313", "orderId" => "INV-2313",
@ -38,7 +38,7 @@ class Refund
"seller" => "dedo", "seller" => "dedo",
"total" => "Rp. 14000", "total" => "Rp. 14000",
"date" => "July 18, 2023 ", "date" => "July 18, 2023 ",
"status"=>"Process Refund" "status"=>"Refunds Refused"
], ],
[ [
"orderId" => "INV-9090", "orderId" => "INV-9090",
@ -46,7 +46,7 @@ class Refund
"seller" => "dado", "seller" => "dado",
"total" => "Rp. 45000", "total" => "Rp. 45000",
"date" => "June 19, 2023 ", "date" => "June 19, 2023 ",
"status"=>"Process Refund" "status"=>"Refunds Refused"
] ]
]; ];

30
app/Models/Users.php
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@ -10,15 +10,43 @@ class Users
private static $list_users=[ private static $list_users=[
[ [
"userId" => "U1290", "userId" => "U1290",
"nik" => "214141413414131414",
"fullname" => "Tsalsabila Jilhan Haura", "fullname" => "Tsalsabila Jilhan Haura",
"email" => "jilhanhaura07@gmail.com", "email" => "jilhanhaura07@gmail.com",
"gender" => "Female", "gender" => "Female",
"date" => "August 23, 2023", "date" => "August 23, 2023",
"status" => "Finished" "status" => "Finished"
],
[
"userId" => "U4567",
"fullname" => "Boncel",
"email" => "boncel@gmail.com",
"gender" => "Male",
"date" => "August 22, 2023",
"status" => "Progress"
] ]
]; ];
public static function listUsers(){ public static function listUsers(){
return self::$list_users; return self::$list_users;
} }
private static $detail_user=[
[
"userId" => "91029138",
"nik" => "214141413414131414",
"name" => "Jilhan Haura",
"gender" => "Female",
"religion" => "Muslim",
"bloodType" => "AB",
"email" => "jilhanhaura07@gmail.com",
"phoneNumber" => "08909098102099",
"province" => "Sumatera Barat",
"city" => "Padang",
"district" => "Padang",
"village" => "Balai Baru",
"detail" => "Jl Simpang komplek polda balai baru"
]
];
public static function detailUser(){
return self::$detail_user;
}
} }

29
app/Models/transaction.php
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@ -53,18 +53,29 @@ class transaction
private static $detail_transaction=[ private static $detail_transaction=[
[ [
"tracking_number" => "09102919209", "idTransaction" => "INV-76899",
"orderId" => "INV-9090", "side" =>"SELL",
"status"=>"Pending", "marketPair"=>"IDR",
"estimated" => "June 20, 2023", "email" =>"JilhanHaura07@gmail.com",
"tracking_detail1"=> "August 10: processed payment", "amountTransaction" => "Rp. 900000",
"tracking_detail2"=> "August 12: payment in system", "feeTransaction" =>"10%",
"tracking_detail3"=> "August 14: payment has been received by the seller", "total" => "68,00989.00 IDR",
"paymentDetail" => "Bank",
"bankName" => "BNI",
"accountNumber" => "123",
"statusTransaction" => "Success"
// "tracking_number" => "09102919209",
// "orderId" => "INV-9090",
// "status"=>"Pending",
// "estimated" => "June 20, 2023",
// "tracking_detail1"=> "August 10: processed payment",
// "tracking_detail2"=> "August 12: payment in system",
// "tracking_detail3"=> "August 14: payment has been received by the seller",
], ],
]; ];
public static function allTransactions() public static function allTransactions()
{ {
return self::$list_transaction; return self::$list_transaction;

7
database/migrations/2023_08_16_044527_create_refunds_table.php
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@ -13,7 +13,12 @@ return new class extends Migration
{ {
Schema::create('refunds', function (Blueprint $table) { Schema::create('refunds', function (Blueprint $table) {
$table->id(); $table->id();
$table->timestamps(); $table->int('orderId');
$table->string('customerName');
$table->string('sellerName');
$table->string('total');
$table->timestamps('dueDate');
$table->string('status');
}); });
} }

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package-lock.json generated Normal file
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3
package.json
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@ -9,5 +9,8 @@
"axios": "^1.1.2", "axios": "^1.1.2",
"laravel-vite-plugin": "^0.8.0", "laravel-vite-plugin": "^0.8.0",
"vite": "^4.0.0" "vite": "^4.0.0"
},
"dependencies": {
"datatables.net-dt": "^1.13.6"
} }
} }

129
public/assets/css/style.css
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@ -80,7 +80,7 @@ a:not(.btn-social-icon):not(.btn-social):not(.page-link) .fab {
} }
.bg-primary { .bg-primary {
background-color: #900C3F !important; background-color: #BA2760 !important;
} }
.bg-secondary { .bg-secondary {
@ -797,9 +797,9 @@ select.form-control:not([size]):not([multiple]) {
color: #fff; color: #fff;
} }
.alert.alert-primary { /* .alert.alert-primary {
background-color: #900C3F; background-color: #900C3F;
} } */
.alert.alert-secondary { .alert.alert-secondary {
background-color: #cdd3d8; background-color: #cdd3d8;
@ -914,7 +914,13 @@ select.form-control:not([size]):not([multiple]) {
padding-right: 10px; padding-right: 10px;
margin-bottom: 0; margin-bottom: 0;
} }
.card .card-header ul {
font-size: 16px;
line-height: 28px;
/* padding-left: 150px; */
margin-left: 250px;
margin-bottom: 0;
}
.card .card-header h4+.card-header-action, .card .card-header h4+.card-header-action,
.card .card-header h4+.card-header-form { .card .card-header h4+.card-header-form {
margin-left: auto; margin-left: auto;
@ -2331,7 +2337,10 @@ h6 .badge {
left: 0; left: 0;
width: 100%; width: 100%;
height: 115px; height: 115px;
background-color: #900C3F; /* background-image: url('/public/assets/images/bg-web.png'); */
background: rgb(144, 12, 63);
/* background: linear-gradient(90deg, rgb(144, 12, 63) 0%, rgb(186, 39, 96) 100%, rgb(161, 9, 73) 100%); */
z-index: -1; z-index: -1;
} }
@ -3058,6 +3067,7 @@ a.bb {
.gradient-bottom { .gradient-bottom {
position: relative; position: relative;
height: 550px;
} }
.gradient-bottom:after { .gradient-bottom:after {
@ -4208,3 +4218,112 @@ body:not(.sidebar-mini) .sidebar-style-2 .sidebar-menu li.active ul.dropdown-men
width: 20px; width: 20px;
height: 20px; height: 20px;
} }
.table th {
cursor: pointer;
}
.table .th-sort-asc::after {
content: "\25b4";
}
.table .th-sort-desc::after {
content: "\25be";
}
.table .th-sort-asc::after,
.table .th-sort-desc::after {
margin-left: 5px;
}
.table .th-sort-asc,
.table .th-sort-desc {
background: rgba(0, 0, 0, 0.1);
}
/* CSS khusus untuk switch */
/* For switch styles */
.switch {
position: relative;
display: inline-block;
width: 40px;
height: 20px;
}
.switch input {
opacity: 0;
width: 0;
height: 0;
}
.slider {
position: absolute;
cursor: pointer;
top: 0;
left: 0;
right: 0;
bottom: 0;
background-color: #ff5e57;
-webkit-transition: .4s;
transition: .4s;
}
.slider:before {
position: absolute;
content: "";
height: 16px;
width: 16px;
left: 2px;
bottom: 2px;
background-color: white;
-webkit-transition: .4s;
transition: .4s;
}
input:checked + .slider {
background-color: #32ff7e;
}
input:focus + .slider {
box-shadow: 0 0 1px #32ff7e;
}
input:checked + .slider:before {
transform: translateX(20px);
}
.slider.round {
border-radius: 34px;
}
.slider.round:before {
border-radius: 50%;
}
/* CSS khusus untuk alert */
.alert {
position: relative;
margin-right: 30px;
margin-left: 30px;
/* margin-bottom: 20px; */
border: 1px solid transparent;
border-radius: 0.25rem;
}
.alert-primary {
color: #004085;
background-color: #cce5ff;
border-color: #b8daff;
}
.alert-dismissible {
padding-right: 3rem;
}
.btn-close {
position: absolute;
top: 50%;
right: 0;
transform: translateY(-50%);
padding: 0.5rem 1rem;
}

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public/assets/images/illustration_backgrounds.svg Normal file
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@ -0,0 +1,26 @@
<svg width="1181" height="244" viewBox="0 0 1181 244" fill="none" xmlns="http://www.w3.org/2000/svg">
<mask id="mask0_227_12316" style="mask-type:luminance" maskUnits="userSpaceOnUse" x="2" y="2" width="1179" height="242">
<path d="M2.8894 2.35156H1181V243.142H2.8894V2.35156Z" fill="white"/>
</mask>
<g mask="url(#mask0_227_12316)">
<path d="M1047.44 17.0875C1000.64 13.9376 966.174 38.9274 930.591 63.2079C886.889 93.0366 837.228 111.561 782.195 95.7215C733.176 81.6131 695.878 46.0322 650.202 24.7491C604.332 3.37598 549.896 -2.843 499.505 7.53667C471.21 13.3679 444.55 24.1316 417.42 33.3847C286.246 78.1415 140.375 101.152 3.34485 73.9184V242.829H1180.92V49.9374C1119.63 42.2464 1093.74 20.2007 1047.44 17.0875Z" fill="#BA2760"/>
</g>
<mask id="mask1_227_12316" style="mask-type:luminance" maskUnits="userSpaceOnUse" x="0" y="0" width="1181" height="244">
<path d="M0 0H1181V243.143H0V0Z" fill="white"/>
</mask>
<g mask="url(#mask1_227_12316)">
<path d="M1180.92 126.055C1120.33 126.752 1051.84 122.492 993.029 113.329C965.292 109.008 937.504 103.523 911.953 92.9371C878.967 79.2697 850.169 57.3029 815.202 48.4247C785.959 40.9983 753.686 43.5951 726.394 55.5754C700.444 66.9659 679.614 86.0914 654.123 98.2813C615.362 116.81 569.504 117.787 525.578 118.34C465.212 119.098 401.172 119.004 349.667 90.7961C299.114 63.1139 263.649 9.92367 205.131 1.54533C167.852 -3.79152 131.066 11.0502 96.9417 25.5134C65.7421 38.7379 34.5466 51.9624 3.34695 65.1869V242.828H-0.0294189H1180.92V126.055Z" fill="#A10949"/>
</g>
<mask id="mask2_227_12316" style="mask-type:luminance" maskUnits="userSpaceOnUse" x="2" y="66" width="1179" height="178">
<path d="M2.8894 66.8062H1181V243.143H2.8894V66.8062Z" fill="white"/>
</mask>
<g mask="url(#mask2_227_12316)">
<path d="M1176.51 108.389C1149.17 95.7745 1120.38 82.7264 1089.45 79.2549C1056.69 75.5757 1028.02 88.7561 999.993 102.401C940.96 131.14 823.249 186.828 758.371 145.317C742.628 135.248 732.954 119.329 719.086 107.246C618.726 19.8181 495.283 96.471 394.189 134.843C354.655 149.849 310.079 160.625 266.999 154.675C188.409 143.825 117.684 85.5309 3.34485 88.2765V242.828H1180.92V110.624C1179.46 109.804 1177.96 109.056 1176.51 108.389Z" fill="#900C3F"/>
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<mask id="mask3_227_12316" style="mask-type:luminance" maskUnits="userSpaceOnUse" x="2" y="139" width="1179" height="105">
<path d="M2.8894 139.258H1181V243.143H2.8894V139.258Z" fill="white"/>
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<g mask="url(#mask3_227_12316)">
<path d="M1180.82 213.266C1119.27 219.913 1062.06 182.737 1000.24 178.531C959.072 175.73 918.199 187.734 876.928 186.709C793.596 184.634 716.622 130.023 634.201 141.231C595.196 146.539 560.446 166.221 522.163 174.765C427.877 195.805 331.776 147.074 234.606 146.778C161.556 146.555 74.6445 171.731 3.34485 156.233V242.828H1180.92L1180.82 213.266Z" fill="#900C3F"/>
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215
public/assets/js/page/index-0.js
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@ -1,101 +1,118 @@
"use strict"; // Set new default font family and font color to mimic Bootstrap's default styling
Chart.defaults.global.defaultFontFamily = 'Nunito', '-apple-system,system-ui,BlinkMacSystemFont,"Segoe UI",Roboto,"Helvetica Neue",Arial,sans-serif';
Chart.defaults.global.defaultFontColor = '#858796';
var statistics_chart = document.getElementById("myChart").getContext('2d'); function number_format(number, decimals, dec_point, thousands_sep) {
// * example: number_format(1234.56, 2, ',', ' ');
var myChart = new Chart(statistics_chart, { // * return: '1 234,56'
type: 'line', number = (number + '').replace(',', '').replace(' ', '');
data: { var n = !isFinite(+number) ? 0 : +number,
labels: ["Sunday", "Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday"], prec = !isFinite(+decimals) ? 0 : Math.abs(decimals),
datasets: [{ sep = (typeof thousands_sep === 'undefined') ? ',' : thousands_sep,
label: 'Statistics', dec = (typeof dec_point === 'undefined') ? '.' : dec_point,
data: [640, 387, 530, 302, 430, 270, 488], s = '',
borderWidth: 5, toFixedFix = function (n, prec) {
borderColor: '#6777ef', var k = Math.pow(10, prec);
backgroundColor: 'transparent', return '' + Math.round(n * k) / k;
pointBackgroundColor: '#fff', };
pointBorderColor: '#6777ef', // Fix for IE parseFloat(0.55).toFixed(0) = 0;
pointRadius: 4 s = (prec ? toFixedFix(n, prec) : '' + Math.round(n)).split('.');
}] if (s[0].length > 3) {
}, s[0] = s[0].replace(/\B(?=(?:\d{3})+(?!\d))/g, sep);
options: { }
legend: { if ((s[1] || '').length < prec) {
display: false s[1] = s[1] || '';
}, s[1] += new Array(prec - s[1].length + 1).join('0');
scales: { }
yAxes: [{ return s.join(dec);
gridLines: {
display: false,
drawBorder: false,
},
ticks: {
stepSize: 150
}
}],
xAxes: [{
gridLines: {
color: '#fbfbfb',
lineWidth: 2
}
}]
},
}
});
$('#visitorMap').vectorMap(
{
map: 'world_en',
backgroundColor: '#ffffff',
borderColor: '#f2f2f2',
borderOpacity: .8,
borderWidth: 1,
hoverColor: '#000',
hoverOpacity: .8,
color: '#ddd',
normalizeFunction: 'linear',
selectedRegions: false,
showTooltip: true,
pins: {
id: '<div class="jqvmap-circle"></div>',
my: '<div class="jqvmap-circle"></div>',
th: '<div class="jqvmap-circle"></div>',
sy: '<div class="jqvmap-circle"></div>',
eg: '<div class="jqvmap-circle"></div>',
ae: '<div class="jqvmap-circle"></div>',
nz: '<div class="jqvmap-circle"></div>',
tl: '<div class="jqvmap-circle"></div>',
ng: '<div class="jqvmap-circle"></div>',
si: '<div class="jqvmap-circle"></div>',
pa: '<div class="jqvmap-circle"></div>',
au: '<div class="jqvmap-circle"></div>',
ca: '<div class="jqvmap-circle"></div>',
tr: '<div class="jqvmap-circle"></div>',
},
});
// weather
getWeather();
setInterval(getWeather, 600000);
function getWeather() {
$.simpleWeather({
location: 'Bogor, Indonesia',
unit: 'c',
success: function(weather) {
var html = '';
html += '<div class="weather">';
html += '<div class="weather-icon text-primary"><span class="wi wi-yahoo-' + weather.code + '"></span></div>';
html += '<div class="weather-desc">';
html += '<h4>' + weather.temp + '&deg;' + weather.units.temp + '</h4>';
html += '<div class="weather-text">' + weather.currently + '</div>';
html += '<ul><li>' + weather.city + ', ' + weather.region + '</li>';
html += '<li> <i class="wi wi-strong-wind"></i> ' + weather.wind.speed+' '+weather.units.speed + '</li></ul>';
html += '</div>';
html += '</div>';
$("#myWeather").html(html);
},
error: function(error) {
$("#myWeather").html('<div class="alert alert-danger">'+error+'</div>');
}
});
} }
// Area Chart Example
var ctx = document.getElementById("myChart1");
var myLineChart = new Chart(ctx, {
type: 'line',
data: {
labels: ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"],
datasets: [{
label: "Earnings",
lineTension: 0.3,
backgroundColor: "rgba(78, 115, 223, 0.05)",
borderColor: "rgba(78, 115, 223, 1)",
pointRadius: 3,
pointBackgroundColor: "rgba(78, 115, 223, 1)",
pointBorderColor: "rgba(78, 115, 223, 1)",
pointHoverRadius: 3,
pointHoverBackgroundColor: "rgba(78, 115, 223, 1)",
pointHoverBorderColor: "rgba(78, 115, 223, 1)",
pointHitRadius: 10,
pointBorderWidth: 2,
data: [0, 10000, 5000, 15000, 10000, 20000, 15000, 25000, 20000, 30000, 25000, 40000],
}],
},
options: {
maintainAspectRatio: false,
layout: {
padding: {
left: 10,
right: 25,
top: 25,
bottom: 0
}
},
scales: {
xAxes: [{
time: {
unit: 'date'
},
gridLines: {
display: false,
drawBorder: false
},
ticks: {
maxTicksLimit: 7
}
}],
yAxes: [{
ticks: {
maxTicksLimit: 5,
padding: 10,
// Include a dollar sign in the ticks
callback: function (value, index, values) {
return 'Rp.' + number_format(value);
}
},
gridLines: {
color: "rgb(234, 236, 244)",
zeroLineColor: "rgb(234, 236, 244)",
drawBorder: false,
borderDash: [2],
zeroLineBorderDash: [2]
}
}],
},
legend: {
display: false
},
tooltips: {
backgroundColor: "rgb(255,255,255)",
bodyFontColor: "#858796",
titleMarginBottom: 10,
titleFontColor: '#6e707e',
titleFontSize: 14,
borderColor: '#dddfeb',
borderWidth: 1,
xPadding: 15,
yPadding: 15,
displayColors: false,
intersect: false,
mode: 'index',
caretPadding: 10,
callbacks: {
label: function (tooltipItem, chart) {
var datasetLabel = chart.datasets[tooltipItem.datasetIndex].label || '';
return datasetLabel + ': Rp. ' + number_format(tooltipItem.yLabel);
}
}
}
}
});

320
public/assets/js/page/index.js
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@ -1,62 +1,62 @@
"use strict"; "use strict";
var ctx = document.getElementById("myChart").getContext('2d'); var ctx = document.getElementById("myChart1").getContext('2d');
var myChart = new Chart(ctx, { var myChart = new Chart(ctx, {
type: 'line', type: 'line',
data: { data: {
labels: ["January", "February", "March", "April", "May", "June", "July", "August"], labels: ["January", "February", "March", "April", "May", "June", "July", "August"],
datasets: [{ datasets: [{
label: 'Sales', label: 'Sales',
data: [3200, 1800, 4305, 3022, 6310, 5120, 5880, 6154], data: [3200, 1800, 4305, 3022, 6310, 5120, 5880, 6154],
borderWidth: 2, borderWidth: 2,
backgroundColor: 'rgba(63,82,227,.8)', backgroundColor: 'rgba(63,82,227,.8)',
borderWidth: 0, borderWidth: 0,
borderColor: 'transparent', borderColor: 'transparent',
pointBorderWidth: 0, pointBorderWidth: 0,
pointRadius: 3.5, pointRadius: 3.5,
pointBackgroundColor: 'transparent', pointBackgroundColor: 'transparent',
pointHoverBackgroundColor: 'rgba(63,82,227,.8)', pointHoverBackgroundColor: 'rgba(63,82,227,.8)',
},
{
label: 'Budget',
data: [2207, 3403, 2200, 5025, 2302, 4208, 3880, 4880],
borderWidth: 2,
backgroundColor: 'rgba(254,86,83,.7)',
borderWidth: 0,
borderColor: 'transparent',
pointBorderWidth: 0 ,
pointRadius: 3.5,
pointBackgroundColor: 'transparent',
pointHoverBackgroundColor: 'rgba(254,86,83,.8)',
}]
},
options: {
legend: {
display: false
},
scales: {
yAxes: [{
gridLines: {
// display: false,
drawBorder: false,
color: '#f2f2f2',
}, },
ticks: { {
beginAtZero: true, label: 'Budget',
stepSize: 1500, data: [2207, 3403, 2200, 5025, 2302, 4208, 3880, 4880],
callback: function(value, index, values) { borderWidth: 2,
return '$' + value; backgroundColor: 'rgba(254,86,83,.7)',
} borderWidth: 0,
} borderColor: 'transparent',
}], pointBorderWidth: 0,
xAxes: [{ pointRadius: 3.5,
gridLines: { pointBackgroundColor: 'transparent',
display: false, pointHoverBackgroundColor: 'rgba(254,86,83,.8)',
tickMarkLength: 15, }]
}
}]
}, },
} options: {
legend: {
display: false
},
scales: {
yAxes: [{
gridLines: {
// display: false,
drawBorder: false,
color: '#f2f2f2',
},
ticks: {
beginAtZero: true,
stepSize: 1500,
callback: function (value, index, values) {
return '$' + value;
}
}
}],
xAxes: [{
gridLines: {
display: false,
tickMarkLength: 15,
}
}]
},
}
}); });
var balance_chart = document.getElementById("balance-chart").getContext('2d'); var balance_chart = document.getElementById("balance-chart").getContext('2d');
@ -66,54 +66,54 @@ balance_chart_bg_color.addColorStop(0, 'rgba(63,82,227,.2)');
balance_chart_bg_color.addColorStop(1, 'rgba(63,82,227,0)'); balance_chart_bg_color.addColorStop(1, 'rgba(63,82,227,0)');
var myChart = new Chart(balance_chart, { var myChart = new Chart(balance_chart, {
type: 'line', type: 'line',
data: { data: {
labels: ['16-07-2018', '17-07-2018', '18-07-2018', '19-07-2018', '20-07-2018', '21-07-2018', '22-07-2018', '23-07-2018', '24-07-2018', '25-07-2018', '26-07-2018', '27-07-2018', '28-07-2018', '29-07-2018', '30-07-2018', '31-07-2018'], labels: ['16-07-2018', '17-07-2018', '18-07-2018', '19-07-2018', '20-07-2018', '21-07-2018', '22-07-2018', '23-07-2018', '24-07-2018', '25-07-2018', '26-07-2018', '27-07-2018', '28-07-2018', '29-07-2018', '30-07-2018', '31-07-2018'],
datasets: [{ datasets: [{
label: 'Balance', label: 'Balance',
data: [50, 61, 80, 50, 72, 52, 60, 41, 30, 45, 70, 40, 93, 63, 50, 62], data: [50, 61, 80, 50, 72, 52, 60, 41, 30, 45, 70, 40, 93, 63, 50, 62],
backgroundColor: balance_chart_bg_color, backgroundColor: balance_chart_bg_color,
borderWidth: 3, borderWidth: 3,
borderColor: 'rgba(63,82,227,1)', borderColor: 'rgba(63,82,227,1)',
pointBorderWidth: 0, pointBorderWidth: 0,
pointBorderColor: 'transparent', pointBorderColor: 'transparent',
pointRadius: 3, pointRadius: 3,
pointBackgroundColor: 'transparent', pointBackgroundColor: 'transparent',
pointHoverBackgroundColor: 'rgba(63,82,227,1)', pointHoverBackgroundColor: 'rgba(63,82,227,1)',
}] }]
},
options: {
layout: {
padding: {
bottom: -1,
left: -1
}
}, },
legend: { options: {
display: false layout: {
}, padding: {
scales: { bottom: -1,
yAxes: [{ left: -1
gridLines: { }
display: false,
drawBorder: false,
}, },
ticks: { legend: {
beginAtZero: true, display: false
display: false
}
}],
xAxes: [{
gridLines: {
drawBorder: false,
display: false,
}, },
ticks: { scales: {
display: false yAxes: [{
} gridLines: {
}] display: false,
}, drawBorder: false,
} },
ticks: {
beginAtZero: true,
display: false
}
}],
xAxes: [{
gridLines: {
drawBorder: false,
display: false,
},
ticks: {
display: false
}
}]
},
}
}); });
var sales_chart = document.getElementById("sales-chart").getContext('2d'); var sales_chart = document.getElementById("sales-chart").getContext('2d');
@ -123,72 +123,72 @@ balance_chart_bg_color.addColorStop(0, 'rgba(63,82,227,.2)');
balance_chart_bg_color.addColorStop(1, 'rgba(63,82,227,0)'); balance_chart_bg_color.addColorStop(1, 'rgba(63,82,227,0)');
var myChart = new Chart(sales_chart, { var myChart = new Chart(sales_chart, {
type: 'line', type: 'line',
data: { data: {
labels: ['16-07-2018', '17-07-2018', '18-07-2018', '19-07-2018', '20-07-2018', '21-07-2018', '22-07-2018', '23-07-2018', '24-07-2018', '25-07-2018', '26-07-2018', '27-07-2018', '28-07-2018', '29-07-2018', '30-07-2018', '31-07-2018'], labels: ['16-07-2018', '17-07-2018', '18-07-2018', '19-07-2018', '20-07-2018', '21-07-2018', '22-07-2018', '23-07-2018', '24-07-2018', '25-07-2018', '26-07-2018', '27-07-2018', '28-07-2018', '29-07-2018', '30-07-2018', '31-07-2018'],
datasets: [{ datasets: [{
label: 'Sales', label: 'Sales',
data: [70, 62, 44, 40, 21, 63, 82, 52, 50, 31, 70, 50, 91, 63, 51, 60], data: [70, 62, 44, 40, 21, 63, 82, 52, 50, 31, 70, 50, 91, 63, 51, 60],
borderWidth: 2, borderWidth: 2,
backgroundColor: balance_chart_bg_color, backgroundColor: balance_chart_bg_color,
borderWidth: 3, borderWidth: 3,
borderColor: 'rgba(63,82,227,1)', borderColor: 'rgba(63,82,227,1)',
pointBorderWidth: 0, pointBorderWidth: 0,
pointBorderColor: 'transparent', pointBorderColor: 'transparent',
pointRadius: 3, pointRadius: 3,
pointBackgroundColor: 'transparent', pointBackgroundColor: 'transparent',
pointHoverBackgroundColor: 'rgba(63,82,227,1)', pointHoverBackgroundColor: 'rgba(63,82,227,1)',
}] }]
},
options: {
layout: {
padding: {
bottom: -1,
left: -1
}
}, },
legend: { options: {
display: false layout: {
}, padding: {
scales: { bottom: -1,
yAxes: [{ left: -1
gridLines: { }
display: false,
drawBorder: false,
}, },
ticks: { legend: {
beginAtZero: true, display: false
display: false
}
}],
xAxes: [{
gridLines: {
drawBorder: false,
display: false,
}, },
ticks: { scales: {
display: false yAxes: [{
} gridLines: {
}] display: false,
}, drawBorder: false,
} },
ticks: {
beginAtZero: true,
display: false
}
}],
xAxes: [{
gridLines: {
drawBorder: false,
display: false,
},
ticks: {
display: false
}
}]
},
}
}); });
$("#products-carousel").owlCarousel({ $("#products-carousel").owlCarousel({
items: 3, items: 3,
margin: 10, margin: 10,
autoplay: true, autoplay: true,
autoplayTimeout: 5000, autoplayTimeout: 5000,
loop: true, loop: true,
responsive: { responsive: {
0: { 0: {
items: 2 items: 2
}, },
768: { 768: {
items: 2 items: 2
}, },
1200: { 1200: {
items: 3 items: 3
}
} }
}
}); });

64
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@ -0,0 +1,64 @@
/**
* Sorts a HTML table.
*
* @param {HTMLTableElement} table The table to sort
* @param {number} column The index of the column to sort
* @param {boolean} asc Determines if the sorting will be in ascending
*/
// function sortTableByColumn(table, column, asc = true) {
// const dirModifier = asc ? 1 : -1;
// const tBody = table.tBodies[0];
// const rows = Array.from(tBody.querySelectorAll("tr"));
// // Sort each row
// const sortedRows = rows.sort((a, b) => {
// const aColText = a.querySelector(`td:nth-child(${column + 1})`).textContent.trim();
// const bColText = b.querySelector(`td:nth-child(${column + 1})`).textContent.trim();
// return aColText > bColText ? (1 * dirModifier) : (-1 * dirModifier);
// });
// // Remove all existing TRs from the table
// while (tBody.firstChild) {
// tBody.removeChild(tBody.firstChild);
// }
// // Re-add the newly sorted rows
// tBody.append(...sortedRows);
// // Remember how the column is currently sorted
// table.querySelectorAll("th").forEach(th => th.classList.remove("th-sort-asc", "th-sort-desc"));
// table.querySelector(`th:nth-child(${column + 1})`).classList.toggle("th-sort-asc", asc);
// table.querySelector(`th:nth-child(${column + 1})`).classList.toggle("th-sort-desc", !asc);
// }
// document.querySelectorAll(".table th").forEach(headerCell => {
// headerCell.addEventListener("click", () => {
// const tableElement = headerCell.parentElement.parentElement.parentElement;
// const headerIndex = Array.prototype.indexOf.call(headerCell.parentElement.children, headerCell);
// const currentIsAscending = headerCell.classList.contains("th-sort-asc");
// sortTableByColumn(tableElement, headerIndex, !currentIsAscending);
// });
// });
function sortTable(n) {
var table = document.querySelector('#table'),
thead = document.querySelector('thead'),
tbody = table.querySelector('tbody'),
bRows = [...tbody.rows],
desc = false;
tbody.innerHTML = '';
bRows.sort((a, b) => {
console.log(a, b.innerHTML);
let x = a.getElementsByTagName('td')[n].innerHTML.toLowerCase(),
y = b.getElementsByTagName('td')[n].innerHTML.toLowerCase();
return x < y ? -1 : 1;
});
bRows.map((bRows) => {
// tbody.appendChild(bRows);
console.log(bRows.innerHTML);
})
}

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@ -0,0 +1,23 @@
{
"name": "Chart.js",
"version": "2.1.4",
"description": "Simple HTML5 Charts using the canvas element",
"homepage": "https://github.com/chartjs/Chart.js",
"author": "nnnick",
"license": "MIT",
"main": [
"dist/Chart.js"
],
"devDependencies": {
"jquery": "~2.1.4"
},
"_release": "2.1.4",
"_resolution": {
"type": "version",
"tag": "v2.1.4",
"commit": "40d76b6a7ba14aeac69b05ad15d713c3402867b2"
},
"_source": "https://github.com/nnnick/Chart.js.git",
"_target": "^2.0.2",
"_originalSource": "Chart.js"
}

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@ -0,0 +1,18 @@
engines:
duplication:
enabled: true
config:
languages:
- javascript
eslint:
enabled: true
fixme:
enabled: true
ratings:
paths:
- "src/**/*.js"
exclude_paths:
- dist/**/*
- node_modules/**/*
- test/**/*
- coverage/**/*

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@ -0,0 +1,10 @@
# http://editorconfig.org
root = true
[*]
indent_style = tab
indent_size = 4
end_of_line = lf
charset = utf-8
trim_trailing_whitespace = true
insert_final_newline = false

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@ -0,0 +1 @@
**/*{.,-}min.js

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@ -0,0 +1,213 @@
ecmaFeatures:
modules: true
jsx: true
env:
amd: true
browser: true
es6: true
jquery: true
node: true
# http://eslint.org/docs/rules/
rules:
# Possible Errors
comma-dangle: [2, never]
no-cond-assign: 2
no-console: 0
no-constant-condition: 2
no-control-regex: 2
no-debugger: 2
no-dupe-args: 2
no-dupe-keys: 2
no-duplicate-case: 2
no-empty: 2
no-empty-character-class: 2
no-ex-assign: 2
no-extra-boolean-cast: 2
no-extra-parens: 0
no-extra-semi: 2
no-func-assign: 2
no-inner-declarations: [2, functions]
no-invalid-regexp: 2
no-irregular-whitespace: 2
no-negated-in-lhs: 2
no-obj-calls: 2
no-regex-spaces: 2
no-sparse-arrays: 2
no-unexpected-multiline: 2
no-unreachable: 2
use-isnan: 2
valid-jsdoc: 0
valid-typeof: 2
# Best Practices
accessor-pairs: 2
block-scoped-var: 0
complexity: [2, 6]
consistent-return: 0
curly: 0
default-case: 0
dot-location: 0
dot-notation: 0
eqeqeq: 2
guard-for-in: 2
no-alert: 2
no-caller: 2
no-case-declarations: 2
no-div-regex: 2
no-else-return: 0
no-empty-label: 2
no-empty-pattern: 2
no-eq-null: 2
no-eval: 2
no-extend-native: 2
no-extra-bind: 2
no-fallthrough: 2
no-floating-decimal: 0
no-implicit-coercion: 0
no-implied-eval: 2
no-invalid-this: 0
no-iterator: 2
no-labels: 0
no-lone-blocks: 2
no-loop-func: 2
no-magic-number: 0
no-multi-spaces: 0
no-multi-str: 0
no-native-reassign: 2
no-new-func: 2
no-new-wrappers: 2
no-new: 2
no-octal-escape: 2
no-octal: 2
no-proto: 2
no-redeclare: 2
no-return-assign: 2
no-script-url: 2
no-self-compare: 2
no-sequences: 0
no-throw-literal: 0
no-unused-expressions: 2
no-useless-call: 2
no-useless-concat: 2
no-void: 2
no-warning-comments: 0
no-with: 2
radix: 2
vars-on-top: 0
wrap-iife: 2
yoda: 0
# Strict
strict: 0
# Variables
init-declarations: 0
no-catch-shadow: 2
no-delete-var: 2
no-label-var: 2
no-shadow-restricted-names: 2
no-shadow: 0
no-undef-init: 2
no-undef: 0
no-undefined: 0
no-unused-vars: 0
no-use-before-define: 0
# Node.js and CommonJS
callback-return: 2
global-require: 2
handle-callback-err: 2
no-mixed-requires: 0
no-new-require: 0
no-path-concat: 2
no-process-exit: 2
no-restricted-modules: 0
no-sync: 0
# Stylistic Issues
array-bracket-spacing: 0
block-spacing: 0
brace-style: 0
camelcase: 0
comma-spacing: 0
comma-style: 0
computed-property-spacing: 0
consistent-this: 0
eol-last: 0
func-names: 0
func-style: 0
id-length: 0
id-match: 0
indent: 0
jsx-quotes: 0
key-spacing: 0
linebreak-style: 0
lines-around-comment: 0
max-depth: 0
max-len: 0
max-nested-callbacks: 0
max-params: 0
max-statements: [2, 30]
new-cap: 0
new-parens: 0
newline-after-var: 0
no-array-constructor: 0
no-bitwise: 0
no-continue: 0
no-inline-comments: 0
no-lonely-if: 0
no-mixed-spaces-and-tabs: 0
no-multiple-empty-lines: 0
no-negated-condition: 0
no-nested-ternary: 0
no-new-object: 0
no-plusplus: 0
no-restricted-syntax: 0
no-spaced-func: 0
no-ternary: 0
no-trailing-spaces: 0
no-underscore-dangle: 0
no-unneeded-ternary: 0
object-curly-spacing: 0
one-var: 0
operator-assignment: 0
operator-linebreak: 0
padded-blocks: 0
quote-props: 0
quotes: 0
require-jsdoc: 0
semi-spacing: 0
semi: 0
sort-vars: 0
space-after-keywords: 0
space-before-blocks: 0
space-before-function-paren: 0
space-before-keywords: 0
space-in-parens: 0
space-infix-ops: 0
space-return-throw-case: 0
space-unary-ops: 0
spaced-comment: 0
wrap-regex: 0
# ECMAScript 6
arrow-body-style: 0
arrow-parens: 0
arrow-spacing: 0
constructor-super: 0
generator-star-spacing: 0
no-arrow-condition: 0
no-class-assign: 0
no-const-assign: 0
no-dupe-class-members: 0
no-this-before-super: 0
no-var: 0
object-shorthand: 0
prefer-arrow-callback: 0
prefer-const: 0
prefer-reflect: 0
prefer-spread: 0
prefer-template: 0
require-yield: 0

2
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@ -0,0 +1,2 @@
- [ ] I have read the [guidelines for contributing](https://github.com/chartjs/Chart.js/blob/master/CONTRIBUTING.md)
- [ ] I have included an example of my issue on a website such as [JS Bin](http://jsbin.com/), [JS Fiddle](http://jsfiddle.net/), or [Codepen](http://codepen.io/pen/). ([Template](http://codepen.io/pen?template=JXVYzq))

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@ -0,0 +1,2 @@
- [ ] I have read the [guidelines for contributing](https://github.com/chartjs/Chart.js/blob/master/CONTRIBUTING.md)
- [ ] I have included an example of my changes on a website such as [JS Bin](http://jsbin.com/), [JS Fiddle](http://jsfiddle.net/), or [Codepen](http://codepen.io/pen/). ([Template](http://codepen.io/pen?template=JXVYzq))

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.DS_Store
node_modules/*
custom/*
docs/index.md
bower_components/
coverage/*
.idea
nbproject/*

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language: node_js
node_js:
- "5.10"
before_install:
- "export CHROME_BIN=/usr/bin/google-chrome"
- "export DISPLAY=:99.0"
- "sh -e /etc/init.d/xvfb start"
before_script:
- npm install
script:
- gulp test
- gulp coverage
- cat ./coverage/lcov.info | ./node_modules/.bin/coveralls
notifications:
slack: chartjs:pcfCZR6ugg5TEcaLtmIfQYuA
sudo: required
dist: trusty
addons:
firefox: latest
apt:
sources:
- google-chrome
packages:
- google-chrome-stable

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Contributing to Chart.js
========================
Contributions to Chart.js are welcome and encouraged, but please have a look through the guidelines in this document before raising an issue, or writing code for the project.
Using issues
------------
The [issue tracker](https://github.com/chartjs/Chart.js/issues) is the preferred channel for reporting bugs, requesting new features and submitting pull requests.
If you're suggesting a new chart type, please take a look at [writing new chart types](https://github.com/chartjs/Chart.js/blob/master/docs/07-Advanced.md#writing-new-chart-types) in the documentation or consider [creating a plugin](https://github.com/chartjs/Chart.js/blob/master/docs/07-Advanced.md#creating-plugins).
To keep the library lightweight for everyone, it's unlikely we'll add many more chart types to the core of Chart.js, but issues are a good medium to design and spec out how new chart types could work and look.
Please do not use issues for support requests. For help using Chart.js, please take a look at the [`chartjs`](http://stackoverflow.com/questions/tagged/chartjs) tag on Stack Overflow.
Reporting bugs
--------------
Well structured, detailed bug reports are hugely valuable for the project.
Guidlines for reporting bugs:
- Check the issue search to see if it has already been reported
- Isolate the problem to a simple test case
- Provide a demonstration of the problem on [JS Bin](http://jsbin.com) or similar
Please provide any additional details associated with the bug, if it's browser or screen density specific, or only happens with a certain configuration or data.
Local development
-----------------
Run `npm install` to install all the libraries, then run `gulp dev --test` to build and run tests as you make changes.
Pull requests
-------------
Clear, concise pull requests are excellent at continuing the project's community driven growth. But please review [these guidelines](https://github.com/blog/1943-how-to-write-the-perfect-pull-request) and the guidelines below before starting work on the project.
Be advised that **Chart.js 1.0.2 is in feature-complete status**. Pull requests adding new features to the 1.x branch will be disregarded.
Guidelines:
- Please create an issue first:
- For bugs, we can discuss the fixing approach
- For enhancements, we can discuss if it is within the project scope and avoid duplicate effort
- Please make changes to the files in [`/src`](https://github.com/chartjs/Chart.js/tree/master/src), not `Chart.js` or `Chart.min.js` in the repo root directory, this avoids merge conflicts
- Tabs for indentation, not spaces please
- If adding new functionality, please also update the relevant `.md` file in [`/docs`](https://github.com/chartjs/Chart.js/tree/master/docs)
- Please make your commits in logical sections with clear commit messages
Joining the project
-------------
- Active committers and contributors are invited to introduce yourself and request commit access to this project. Please send an email to hello@nickdownie.com or file an issue.
- We have a very active Slack community that you can join at https://chartjs-slack-automation.herokuapp.com. If you think you can help, we'd love to have you!
License
-------
By contributing your code, you agree to license your contribution under the [MIT license](https://github.com/chartjs/Chart.js/blob/master/LICENSE.md).

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@ -0,0 +1,8 @@
The MIT License (MIT)
Copyright (c) 2013-2016 Nick Downie
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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# Chart.js
[![Build Status](https://travis-ci.org/chartjs/Chart.js.svg?branch=master)](https://travis-ci.org/chartjs/Chart.js) [![Code Climate](https://codeclimate.com/github/nnnick/Chart.js/badges/gpa.svg)](https://codeclimate.com/github/nnnick/Chart.js) [![Coverage Status](https://coveralls.io/repos/github/chartjs/Chart.js/badge.svg?branch=master)](https://coveralls.io/github/chartjs/Chart.js?branch=master)
[![Chart.js on Slack](https://img.shields.io/badge/slack-Chart.js-blue.svg)](https://chartjs-slack-automation.herokuapp.com/)
*Simple HTML5 Charts using the canvas element* [chartjs.org](http://www.chartjs.org)
## Installation
To download a zip, go to the Chart.js on Github
To install via npm / bower:
```bash
npm install chart.js --save
bower install Chart.js --save
```
CDN: https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.1.4/Chart.min.js
## Documentation
You can find documentation at [www.chartjs.org/docs](http://www.chartjs.org/docs). The markdown files that build the site are available under `/docs`. Previous version documentation is available at [www.chartjs.org/docs/#notes-previous-versions](http://www.chartjs.org/docs/#notes-previous-versions).
## Contributing
Before submitting an issue or a pull request to the project, please take a moment to look over the [contributing guidelines](https://github.com/chartjs/Chart.js/blob/master/CONTRIBUTING.md) first.
For support using Chart.js, please post questions with the [`chartjs` tag on Stack Overflow](http://stackoverflow.com/questions/tagged/chartjs).
## Building and Testing
`gulp build`, `gulp test`
Thanks to [BrowserStack](https://browserstack.com) for allowing our team to test on thousands of browsers.
## License
Chart.js is available under the [MIT license](http://opensource.org/licenses/MIT).

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@ -0,0 +1,14 @@
{
"name": "Chart.js",
"version": "2.1.4",
"description": "Simple HTML5 Charts using the canvas element",
"homepage": "https://github.com/chartjs/Chart.js",
"author": "nnnick",
"license": "MIT",
"main": [
"dist/Chart.js"
],
"devDependencies": {
"jquery": "~2.1.4"
}
}

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@ -0,0 +1,26 @@
{
"name": "nnnick/chartjs",
"type": "library",
"description": "Simple HTML5 charts using the canvas element.",
"keywords": [
"chart",
"js"
],
"homepage": "http://www.chartjs.org/",
"license": "MIT",
"authors": [
{
"name": "NICK DOWNIE",
"email": "hello@nickdownie.com"
}
],
"require": {
"php": ">=5.3.3"
},
"minimum-stability": "stable",
"extra": {
"branch-alias": {
"release/2.0": "v2.0-dev"
}
}
}

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@ -0,0 +1,4 @@
{
"node": true,
"predef": [ "require", "module" ]
}

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---
title: Getting started
anchor: getting-started
---
### Download Chart.js
To download a zip, go to [Chart.js on Github](https://github.com/chartjs/Chart.js) and choose the version that is right for your application.
* [Standard build](https://raw.githubusercontent.com/chartjs/Chart.js/master/dist/Chart.js) (~31kB gzipped)
* [Bundled with Moment.js](https://raw.githubusercontent.com/chartjs/Chart.js/master/dist/Chart.bundle.js) (~45kB gzipped)
* [CDN Versions](https://cdnjs.com/libraries/Chart.js)
To install via npm / bower:
```bash
npm install chart.js --save
```
```bash
bower install Chart.js --save
```
### Selecting the Correct Build
Chart.js provides two different builds that are available for your use. The `Chart.js` and `Chart.min.js` files include Chart.js and the accompanying color parsing library. If this version is used and you require the use of the time axis, [Moment.js](http://momentjs.com/) will need to be included before Chart.js.
The `Chart.bundle.js` and `Chart.bundle.min.js` builds include Moment.js in a single file. This version should be used if you require time axes and want a single file to include, select this version. Do not use this build if your application already includes Moment.js. If you do, Moment.js will be included twice, increasing the page load time and potentially introducing version issues.
### Installation
To import Chart.js using an old-school script tag:
```html
<script src="Chart.js"></script>
<script>
var myChart = new Chart({...})
</script>
```
To import Chart.js using an awesome module loader:
```javascript
// Using CommonJS
var Chart = require('src/chart.js')
var myChart = new Chart({...})
// ES6
import Chart from 'src/chart.js'
let myChart = new Chart({...})
// Using requirejs
require(['path/to/Chartjs'], function(Chart){
var myChart = new Chart({...})
})
```
### Creating a Chart
To create a chart, we need to instantiate the `Chart` class. To do this, we need to pass in the node, jQuery instance, or 2d context of the canvas of where we want to draw the chart. Here's an example.
```html
<canvas id="myChart" width="400" height="400"></canvas>
```
```javascript
// Any of the following formats may be used
var ctx = document.getElementById("myChart");
var ctx = document.getElementById("myChart").getContext("2d");
var ctx = $("#myChart");
```
Once you have the element or context, you're ready to instantiate a pre-defined chart-type or create your own!
The following example instantiates a bar chart showing the number of votes for different colors and the y-axis starting at 0.
```html
<canvas id="myChart" width="400" height="400"></canvas>
<script>
var ctx = document.getElementById("myChart");
var myChart = new Chart(ctx, {
type: 'bar',
data: {
labels: ["Red", "Blue", "Yellow", "Green", "Purple", "Orange"],
datasets: [{
label: '# of Votes',
data: [12, 19, 3, 5, 2, 3],
backgroundColor: [
'rgba(255, 99, 132, 0.2)',
'rgba(54, 162, 235, 0.2)',
'rgba(255, 206, 86, 0.2)',
'rgba(75, 192, 192, 0.2)',
'rgba(153, 102, 255, 0.2)',
'rgba(255, 159, 64, 0.2)'
],
borderColor: [
'rgba(255,99,132,1)',
'rgba(54, 162, 235, 1)',
'rgba(255, 206, 86, 1)',
'rgba(75, 192, 192, 1)',
'rgba(153, 102, 255, 1)',
'rgba(255, 159, 64, 1)'
],
borderWidth: 1
}]
},
options: {
scales: {
yAxes: [{
ticks: {
beginAtZero:true
}
}]
}
}
});
</script>
```
It's that easy to get started using Chart.js! From here you can explore the many options that can help you customise your charts with scales, tooltips, labels, colors, custom actions, and much more.

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---
title: Chart Configuration
anchor: chart-configuration
---
Chart.js provides a number of options for changing the behaviour of created charts. These configuration options can be changed on a per chart basis by passing in an options object when creating the chart. Alternatively, the global configuration can be changed which will be used by all charts created after that point.
### Creating a Chart with Options
To create a chart with configuration options, simply pass an object containing your configuration to the constructor. In the example below, a line chart is created and configured to not be responsive.
```javascript
var chartInstance = new Chart(ctx, {
type: 'line',
data: data,
options: {
responsive: false
}
});
```
### Global Configuration
This concept was introduced in Chart.js 1.0 to keep configuration DRY, and allow for changing options globally across chart types, avoiding the need to specify options for each instance, or the default for a particular chart type.
Chart.js merges the options object passed to the chart with the global configuration using chart type defaults and scales defaults appropriately. This way you can be as specific as you would like in your individual chart configuration, while still changing the defaults for all chart types where applicable. The global general options are defined in `Chart.defaults.global`. The defaults for each chart type are discussed in the documentation for that chart type.
The following example would set the hover mode to 'single' for all charts where this was not overridden by the chart type defaults or the options passed to the constructor on creation.
```javascript
Chart.defaults.global.hover.mode = 'single';
// Hover mode is set to single because it was not overridden here
var chartInstanceHoverModeSingle = new Chart(ctx, {
type: 'line',
data: data,
});
// This chart would have the hover mode that was passed in
var chartInstanceDifferentHoverMode = new Chart(ctx, {
type: 'line',
data: data,
options: {
hover: {
// Overrides the global setting
mode: 'label'
}
}
})
```
#### Global Font Settings
There are 4 special global settings that can change all of the fonts on the chart. These options are in `Chart.defaults.global`.
Name | Type | Default | Description
--- | --- | --- | ---
defaultFontColor | Color | '#666' | Default font color for all text
defaultFontFamily | String | "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif" | Default font family for all text
defaultFontSize | Number | 12 | Default font size (in px) for text. Does not apply to radialLinear scale point labels
defaultFontStyle | String | 'normal' | Default font style. Does not apply to tooltip title or footer. Does not apply to chart title
### Common Chart Configuration
The following options are applicable to all charts. The can be set on the [global configuration](#chart-configuration-global-configuration), or they can be passed to the chart constructor.
Name | Type | Default | Description
--- | --- | --- | ---
responsive | Boolean | true | Resizes when the canvas container does.
responsiveAnimationDuration | Number | 0 | Duration in milliseconds it takes to animate to new size after a resize event.
maintainAspectRatio | Boolean | true | Maintain the original canvas aspect ratio `(width / height)` when resizing
events | Array[String] | `["mousemove", "mouseout", "click", "touchstart", "touchmove", "touchend"]` | Events that the chart should listen to for tooltips and hovering
onClick | Function | null | Called if the event is of type 'mouseup' or 'click'. Called in the context of the chart and passed an array of active elements
legendCallback | Function | ` function (chart) { }` | Function to generate a legend. Receives the chart object to generate a legend from. Default implementation returns an HTML string.
### Title Configuration
The title configuration is passed into the `options.title` namespace. The global options for the chart title is defined in `Chart.defaults.global.title`.
Name | Type | Default | Description
--- | --- | --- | ---
display | Boolean | false | Display the title block
position | String | 'top' | Position of the title. Only 'top' or 'bottom' are currently allowed
fullWidth | Boolean | true | Marks that this box should take the full width of the canvas (pushing down other boxes)
fontSize | Number | 12 | Font size inherited from global configuration
fontFamily | String | "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif" | Font family inherited from global configuration
fontColor | Color | "#666" | Font color inherited from global configuration
fontStyle | String | 'bold' | Font styling of the title.
padding | Number | 10 | Number of pixels to add above and below the title text
text | String | '' | Title text
#### Example Usage
The example below would enable a title of 'Custom Chart Title' on the chart that is created.
```javascript
var chartInstance = new Chart(ctx, {
type: 'line',
data: data,
options: {
title: {
display: true,
text: 'Custom Chart Title'
}
}
})
```
### Legend Configuration
The legend configuration is passed into the `options.legend` namespace. The global options for the chart legend is defined in `Chart.defaults.global.legend`.
Name | Type | Default | Description
--- | --- | --- | ---
display | Boolean | true | Is the legend displayed
position | String | 'top' | Position of the legend. Options are 'top' or 'bottom'
fullWidth | Boolean | true | Marks that this box should take the full width of the canvas (pushing down other boxes)
onClick | Function | `function(event, legendItem) {}` | A callback that is called when a click is registered on top of a label item
labels |Object|-| See the [Legend Label Configuration](#chart-configuration-legend-label-configuration) section below.
#### Legend Label Configuration
The legend label configuration is nested below the legend configuration using the `labels` key.
Name | Type | Default | Description
--- | --- | --- | ---
boxWidth | Number | 40 | Width of coloured box
fontSize | Number | 12 | Font size inherited from global configuration
fontStyle | String | "normal" | Font style inherited from global configuration
fontColor | Color | "#666" | Font color inherited from global configuration
fontFamily | String | "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif" | Font family inherited from global configuration
padding | Number | 10 | Padding between rows of colored boxes
generateLabels: | Function | `function(chart) { }` | Generates legend items for each thing in the legend. Default implementation returns the text + styling for the color box. See [Legend Item](#chart-configuration-legend-item-interface) for details.
#### Legend Item Interface
Items passed to the legend `onClick` function are the ones returned from `labels.generateLabels`. These items must implement the following interface.
```javascript
{
// Label that will be displayed
text: String,
// Fill style of the legend box
fillStyle: Color,
// If true, this item represents a hidden dataset. Label will be rendered with a strike-through effect
hidden: Boolean,
// For box border. See https://developer.mozilla.org/en/docs/Web/API/CanvasRenderingContext2D/lineCap
lineCap: String,
// For box border. See https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/setLineDash
lineDash: Array[Number],
// For box border. See https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/lineDashOffset
lineDashOffset: Number,
// For box border. See https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/lineJoin
lineJoin: String,
// Width of box border
lineWidth: Number,
// Stroke style of the legend box
strokeStyle: Color
}
```
#### Example
The following example will create a chart with the legend enabled and turn all of the text red in color.
```javascript
var chartInstance = new Chart(ctx, {
type: 'bar',
data: data,
options: {
legend: {
display: true,
labels: {
fontColor: 'rgb(255, 99, 132)'
}
}
}
});
```
### Tooltip Configuration
The title configuration is passed into the `options.tooltips` namespace. The global options for the chart tooltips is defined in `Chart.defaults.global.title`.
Name | Type | Default | Description
--- | --- | --- | ---
enabled | Boolean | true | Are tooltips
custom | Function | null | See [section](#chart-configuration-custom-tooltips) below
mode | String | 'single' | Sets which elements appear in the tooltip. Acceptable options are `'single'` or `'label'`. `single` highlights the closest element. `label` highlights elements in all datasets at the same `X` value.
backgroundColor | Color | 'rgba(0,0,0,0.8)' | Background color of the tooltip
titleFontFamily | String | "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif" | Font family for tooltip title inherited from global font family
titleFontSize | Number | 12 | Font size for tooltip title inherited from global font size
titleFontStyle | String | "bold" |
titleFontColor | Color | "#fff" | Font color for tooltip title
titleSpacing | Number | 2 | Spacing to add to top and bottom of each title line.
titleMarginBottom | Number | 6 | Margin to add on bottom of title section
bodyFontFamily | String | "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif" | Font family for tooltip items inherited from global font family
bodyFontSize | Number | 12 | Font size for tooltip items inherited from global font size
bodyFontStyle | String | "normal" |
bodyFontColor | Color | "#fff" | Font color for tooltip items.
bodySpacing | Number | 2 | Spacing to add to top and bottom of each tooltip item
footerFontFamily | String | "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif" | Font family for tooltip footer inherited from global font family.
footerFontSize | Number | 12 | Font size for tooltip footer inherited from global font size.
footerFontStyle | String | "bold" | Font style for tooltip footer.
footerFontColor | Color | "#fff" | Font color for tooltip footer.
footerSpacing | Number | 2 | Spacing to add to top and bottom of each footer line.
footerMarginTop | Number | 6 | Margin to add before drawing the footer
xPadding | Number | 6 | Padding to add on left and right of tooltip
yPadding | Number | 6 | Padding to add on top and bottom of tooltip
caretSize | Number | 5 | Size, in px, of the tooltip arrow
cornerRadius | Number | 6 | Radius of tooltip corner curves
multiKeyBackground | Color | "#fff" | Color to draw behind the colored boxes when multiple items are in the tooltip
callbacks | Object | | See the [callbacks section](#chart-configuration-tooltip-callbacks) below
#### Tooltip Callbacks
The tooltip label configuration is nested below the tooltip configuration using the `callbacks` key. The tooltip has the following callbacks for providing text. For all functions, 'this' will be the tooltip object created from the Chart.Tooltip constructor.
All functions are called with the same arguments: a [tooltip item](#chart-configuration-tooltip-item-interface) and the data object passed to the chart. All functions must return either a string or an array of strings. Arrays of strings are treated as multiple lines of text.
Callback | Arguments | Description
--- | --- | ---
beforeTitle | `Array[tooltipItem], data` | Text to render before the title
title | `Array[tooltipItem], data` | Text to render as the title
afterTitle | `Array[tooltipItem], data` | Text to render after the title
beforeBody | `Array[tooltipItem], data` | Text to render before the body section
beforeLabel | `tooltipItem, data` | Text to render before an individual label
label | `tooltipItem, data` | Text to render for an individual item in the tooltip
afterLabel | `tooltipItem, data` | Text to render after an individual label
afterBody | `Array[tooltipItem], data` | Text to render after the body section
beforeFooter | `Array[tooltipItem], data` | Text to render before the footer section
footer | `Array[tooltipItem], data` | Text to render as the footer
afterFooter | `Array[tooltipItem], data` | Text to render after the footer section
#### Tooltip Item Interface
The tooltip items passed to the tooltip callbacks implement the following interface.
```javascript
{
// X Value of the tooltip as a string
xLabel: String,
// Y value of the tooltip as a string
yLabel: String,
// Index of the dataset the item comes from
datasetIndex: Number,
// Index of this data item in the dataset
index: Number
}
```
### Hover Configuration
The hover configuration is passed into the `options.hover` namespace. The global hover configuration is at `Chart.defaults.global.hover`.
Name | Type | Default | Description
--- | --- | --- | ---
mode | String | 'single' | Sets which elements hover. Acceptable options are `'single'`, `'label'`, or `'dataset'`. `single` highlights the closest element. `label` highlights elements in all datasets at the same `X` value. `dataset` highlights the closest dataset.
animationDuration | Number | 400 | Duration in milliseconds it takes to animate hover style changes
onHover | Function | null | Called when any of the events fire. Called in the context of the chart and passed an array of active elements (bars, points, etc)
### Animation Configuration
The following animation options are available. The global options for are defined in `Chart.defaults.global.animation`.
Name | Type | Default | Description
--- |:---:| --- | ---
duration | Number | 1000 | The number of milliseconds an animation takes.
easing | String | "easeOutQuart" | Easing function to use.
onProgress | Function | none | Callback called on each step of an animation. Passed a single argument, an object, containing the chart instance and an object with details of the animation.
onComplete | Function | none | Callback called at the end of an animation. Passed the same arguments as `onProgress`
#### Animation Callbacks
The `onProgress` and `onComplete` callbacks are useful for synchronizing an external draw to the chart animation. The callback is passed an object that implements the following interface. An example usage of these callbacks can be found on [Github](https://github.com/chartjs/Chart.js/blob/master/samples/AnimationCallbacks/progress-bar.html). This sample displays a progress bar showing how far along the animation is.
```javscript
{
// Chart object
chartInstance,
// Contains details of the on-going animation
animationObject,
}
```
#### Animation Object
The animation object passed to the callbacks is of type `Chart.Animation`. The object has the following parameters.
```javascript
{
// Current Animation frame number
currentStep: Number,
// Number of animation frames
numSteps: Number,
// Animation easing to use
easing: String,
// Function that renders the chart
render: Function,
// User callback
onAnimationProgress: Function,
// User callback
onAnimationComplete: Function
}
```
### Element Configuration
The global options for elements are defined in `Chart.defaults.global.elements`.
Options can be configured for four different types of elements; arc, lines, points, and rectangles. When set, these options apply to all objects of that type unless specifically overridden by the configuration attached to a dataset.
#### Arc Configuration
Arcs are used in the polar area, doughnut and pie charts. They can be configured with the following options. The global arc options are stored in `Chart.defaults.global.elements.arc`.
Name | Type | Default | Description
--- | --- | --- | ---
backgroundColor | Color | 'rgba(0,0,0,0.1)' | Default fill color for arcs. Inherited from the global default
borderColor | Color | '#fff' | Default stroke color for arcs
borderWidth | Number | 2 | Default stroke width for arcs
#### Line Configuration
Line elements are used to represent the line in a line chart. The global line options are stored in `Chart.defaults.global.elements.line`.
Name | Type | Default | Description
--- | --- | --- | ---
tension | Number | 0.4 | Default bezier curve tension. Set to `0` for no bezier curves.
backgroundColor | Color | 'rgba(0,0,0,0.1)' | Default line fill color
borderWidth | Number | 3 | Default line stroke width
borderColor | Color | 'rgba(0,0,0,0.1)' | Default line stroke color
borderCapStyle | String | 'butt' | Default line cap style. See [MDN](https://developer.mozilla.org/en/docs/Web/API/CanvasRenderingContext2D/lineCap)
borderDash | Array | `[]` | Default line dash. See [MDN](https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/setLineDash)
borderDashOffset | Number | 0.0 | Default line dash offset. See [MDN](https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/lineDashOffset)
borderJoinStyle | String | 'miter' | Default line join style. See [MDN](https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/lineJoin)
fill | Boolean | true | If true, the line is filled.
#### Point Configuration
Point elements are used to represent the points in a line chart or a bubble chart. The global point options are stored in `Chart.defaults.global.elements.point`.
Name | Type | Default | Description
--- | --- | --- | ---
radius | Number | 3 | Default point radius
pointStyle | String | 'circle' | Default point style
backgroundColor | Color | 'rgba(0,0,0,0.1)' | Default point fill color
borderWidth | Number | 1 | Default point stroke width
borderColor | Color | 'rgba(0,0,0,0.1)' | Default point stroke color
hitRadius | Number | 1 | Extra radius added to point radius for hit detection
hoverRadius | Number | 4 | Default point radius when hovered
hoverBorderWidth | Number | 1 | Default stroke width when hovered
#### Rectangle Configuration
Rectangle elements are used to represent the bars in a bar chart. The global rectangle options are stored in `Chart.defaults.global.elements.rectange`.
Name | Type | Default | Description
--- | --- | --- | ---
backgroundColor | Color | 'rgba(0,0,0,0.1)' | Default bar fill color
borderWidth | Number | 0 | Default bar stroke width
borderColor | Color | 'rgba(0,0,0,0.1)' | Default bar stroke color
borderSkipped | String | 'bottom' | Default skipped (excluded) border for rectangle. Can be one of `bottom`, `left`, `top`, `right`
### Colors
When supplying colors to Chart options, you can use a number of formats. You can specify the color as a string in hexadecimal, RGB, or HSL notations. If a color is needed, but not specified, Chart.js will use the global default color. This color is stored at `Chart.defaults.global.defaultColor`. It is initially set to 'rgb(0, 0, 0, 0.1)';
You can also pass a [CanvasGradient](https://developer.mozilla.org/en-US/docs/Web/API/CanvasGradient) object. You will need to create this before passing to the chart, but using it you can achieve some interesting effects.
The final option is to pass a [CanvasPattern](https://developer.mozilla.org/en-US/docs/Web/API/CanvasPattern) object. For example, if you wanted to fill a dataset with a pattern from an image you could do the following.
```javascript
var img = new Image();
img.src = 'https://example.com/my_image.png';
img.onload = function() {
var ctx = document.getElementById('canvas').getContext('2d');
var fillPattern = ctx.createPattern(img, 'repeat');
var chart = new Chart(ctx, {
data: {
labels: ['Item 1', 'Item 2', 'Item 3'],
datasets: [{
data: [10, 20, 30],
backgroundColor: fillPattern
}]
}
})
}
```

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---
title: Scales
anchor: scales
---
Scales in v2.0 of Chart.js are significantly more powerful, but also different than those of v1.0.
* Multiple X & Y axes are supported.
* A built-in label auto-skip feature detects would-be overlapping ticks and labels and removes every nth label to keep things displaying normally.
* Scale titles are supported
* New scale types can be extended without writing an entirely new chart type
### Common Configuration
Every scale extends a core scale class with the following options:
Name | Type | Default | Description
--- | --- | --- | ---
type | String | Chart specific. | Type of scale being employed. Custom scales can be created and registered with a string key. Options: ["category"](#scales-category-scale), ["linear"](#scales-linear-scale), ["logarithmic"](#scales-logarithmic-scale), ["time"](#scales-time-scale), ["radialLinear"](#scales-radial-linear-scale)
display | Boolean | true | If true, show the scale including gridlines, ticks, and labels. Overrides *gridLines.display*, *scaleLabel.display*, and *ticks.display*.
position | String | "left" | Position of the scale. Possible values are 'top', 'left', 'bottom' and 'right'.
beforeUpdate | Function | undefined | Callback called before the update process starts. Passed a single argument, the scale instance.
beforeSetDimensions | Function | undefined | Callback that runs before dimensions are set. Passed a single argument, the scale instance.
afterSetDimensions | Function | undefined | Callback that runs after dimensions are set. Passed a single argument, the scale instance.
beforeDataLimits | Function | undefined | Callback that runs before data limits are determined. Passed a single argument, the scale instance.
afterDataLimits | Function | undefined | Callback that runs after data limits are determined. Passed a single argument, the scale instance.
beforeBuildTicks | Function | undefined | Callback that runs before ticks are created. Passed a single argument, the scale instance.
afterBuildTicks | Function | undefined | Callback that runs after ticks are created. Useful for filtering ticks. Passed a single argument, the scale instance.
beforeTickToLabelConversion | Function | undefined | Callback that runs before ticks are converted into strings. Passed a single argument, the scale instance.
afterTickToLabelConversion | Function | undefined | Callback that runs after ticks are converted into strings. Passed a single argument, the scale instance.
beforeCalculateTickRotation | Function | undefined | Callback that runs before tick rotation is determined. Passed a single argument, the scale instance.
afterCalculateTickRotation | Function | undefined | Callback that runs after tick rotation is determined. Passed a single argument, the scale instance.
beforeFit | Function | undefined | Callback that runs before the scale fits to the canvas. Passed a single argument, the scale instance.
afterFit | Function | undefined | Callback that runs after the scale fits to the canvas. Passed a single argument, the scale instance.
afterUpdate | Function | undefined | Callback that runs at the end of the update process. Passed a single argument, the scale instance.
**gridLines** | Object | - | See [grid line configuration](#scales-grid-line-configuration) section.
**scaleLabel** | Object | | See [scale title configuration](#scales-scale-title-configuration) section.
**ticks** | Object | | See [ticks configuration](#scales-ticks-configuration) section.
#### Grid Line Configuration
The grid line configuration is nested under the scale configuration in the `gridLines` key. It defines options for the grid lines that run perpendicular to the axis.
Name | Type | Default | Description
--- | --- | --- | ---
display | Boolean | true |
color | Color | "rgba(0, 0, 0, 0.1)" | Color of the grid lines.
lineWidth | Number | 1 | Stroke width of grid lines
drawBorder | Boolean | true | If true draw border on the edge of the chart
drawOnChartArea | Boolean | true | If true, draw lines on the chart area inside the axis lines. This is useful when there are multiple axes and you need to control which grid lines are drawn
drawTicks | Boolean | true | If true, draw lines beside the ticks in the axis area beside the chart.
tickMarkLength | Number | 10 | Length in pixels that the grid lines will draw into the axis area.
zeroLineWidth | Number | 1 | Stroke width of the grid line for the first index (index 0).
zeroLineColor | Color | "rgba(0, 0, 0, 0.25)" | Stroke color of the grid line for the first index (index 0).
offsetGridLines | Boolean | false | If true, offset labels from grid lines.
#### Scale Title Configuration
The grid line configuration is nested under the scale configuration in the `scaleLabel` key. It defines options for the scale title.
Name | Type | Default | Description
--- | --- | --- | ---
display | Boolean | false |
labelString | String | "" | The text for the title. (i.e. "# of People", "Response Choices")
fontColor | Color | "#666" | Font color for the scale title.
fontFamily| String | "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif" | Font family for the scale title, follows CSS font-family options.
fontSize | Number | 12 | Font size for the scale title.
fontStyle | String | "normal" | Font style for the scale title, follows CSS font-style options (i.e. normal, italic, oblique, initial, inherit).
#### Tick Configuration
The grid line configuration is nested under the scale configuration in the `ticks` key. It defines options for the tick marks that are generated by the axis.
Name | Type | Default | Description
--- | --- | --- | ---
autoSkip | Boolean | true | If true, automatically calculates how many labels that can be shown and hides labels accordingly. Turn it off to show all labels no matter what
callback | Function | `function(value) { return '' + value; } ` | Returns the string representation of the tick value as it should be displayed on the chart. See [callback](#scales-creating-custom-tick-formats) section below.
display | Boolean | true | If true, show the ticks.
fontColor | Color | "#666" | Font color for the tick labels.
fontFamily | String | "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif" | Font family for the tick labels, follows CSS font-family options.
fontSize | Number | 12 | Font size for the tick labels.
fontStyle | String | "normal" | Font style for the tick labels, follows CSS font-style options (i.e. normal, italic, oblique, initial, inherit).
labelOffset | Number | 0 | Distance in pixels to offset the label from the centre point of the tick (in the y direction for the x axis, and the x direction for the y axis). *Note: this can cause labels at the edges to be cropped by the edge of the canvas*
maxRotation | Number | 90 | Maximum rotation for tick labels when rotating to condense labels. Note: Rotation doesn't occur until necessary. *Note: Only applicable to horizontal scales.*
minRotation | Number | 0 | Minimum rotation for tick labels. *Note: Only applicable to horizontal scales.*
mirror | Boolean | false | Flips tick labels around axis, displaying the labels inside the chart instead of outside. *Note: Only applicable to vertical scales.*
padding | Number | 10 | Padding between the tick label and the axis. *Note: Only applicable to horizontal scales.*
reverse | Boolean | false | Reverses order of tick labels.
#### Creating Custom Tick Formats
The `callback` method may be used for advanced tick customization. In the following example, every label of the Y axis would be displayed in scientific notation.
If the callback returns `null` or `undefined` the associated grid line will be hidden.
```javascript
var chartInstance = new Chart(ctx, {
type: 'line',
data: data,
options: {
scales: {
yAxes: [{
ticks: {
// Create scientific notation labels
callback: function(value, index, values) {
return value.toExponential();
}
}
}]
}
}
});
```
### Category Scale
The category scale will be familiar to those who have used v1.0. Labels are drawn in from the labels array included in the chart data.
#### Configuration Options
The category scale has the following additional options that can be set.
Name | Type | Default | Description
--- | --- | --- | ---
ticks.min | String | - | The minimum item to display. Must be a value in the `labels` array
ticks.max | String | - | The maximum item to display. Must be a value in the `labels` array
gridLines.offsetGridLines | Boolean | - | If true, labels are shifted to be between grid lines. This is used in the bar chart.
### Linear Scale
The linear scale is use to chart numerical data. It can be placed on either the x or y axis. The scatter chart type automatically configures a line chart to use one of these scales for the x axis. As the name suggests, linear interpolation is used to determine where a value lies on the axis.
#### Configuration Options
The following options are provided by the linear scale. They are all located in the `ticks` sub options.
Name | Type | Default | Description
--- | --- | --- | ---
beginAtZero | Boolean | - | if true, scale will inclulde 0 if it is not already included.
min | Number | - | User defined minimum number for the scale, overrides minimum value from data.
max | Number | - | User defined maximum number for the scale, overrides maximum value from data.
maxTicksLimit | Number | 11 | Maximum number of ticks and gridlines to show. If not defined, it will limit to 11 ticks but will show all gridlines.
stepSize | Number | - | User defined fixed step size for the scale. If set, the scale ticks will be enumerated by multiple of stepSize, having one tick per increment. If not set, the ticks are labeled automatically using the nice numbers algorithm.
stepSize | Number | - | if defined, it can be used along with the min and the max to give a custom number of steps. See the example below.
suggestedMax | Number | - | User defined maximum number for the scale, overrides maximum value *except for if* it is lower than the maximum value.
suggestedMin | Number | - | User defined minimum number for the scale, overrides minimum value *except for if* it is higher than the minimum value.
#### Example Configuration
The following example creates a line chart with a vertical axis that goes from 0 to 5 in 0.5 sized steps.
```javascript
var chartInstance = new Chart(ctx, {
type: 'line',
data: data,
options: {
scales: {
yAxes: [{
ticks: {
max: 5,
min: 0,
stepSize: 0.5
}
}]
}
}
});
```
### Logarithmic Scale
The logarithmic scale is use to chart numerical data. It can be placed on either the x or y axis. As the name suggests, logarithmic interpolation is used to determine where a value lies on the axis.
#### Configuration Options
The following options are provided by the logarithmic scale. They are all located in the `ticks` sub options.
Name | Type | Default | Description
--- | --- | --- | ---
min | Number | - | User defined minimum number for the scale, overrides minimum value from data.
max | Number | - | User defined maximum number for the scale, overrides maximum value from data.
#### Example Configuration
The following example creates a chart with a logarithmic X axis that ranges from 1 to 1000.
```javascript
var chartInstance = new Chart(ctx, {
type: 'line',
data: data,
options: {
xAxes: [{
type: 'logarithmic',
position: 'bottom',
ticks: {
min: 1,
max: 1000
}
}]
}
})
```
### Time Scale
The time scale is used to display times and dates. It can only be placed on the X axis. When building its ticks, it will automatically calculate the most comfortable unit base on the size of the scale.
#### Configuration Options
The following options are provided by the logarithmic scale. They are all located in the `time` sub options.
Name | Type | Default | Description
--- | --- | --- | ---
displayFormats | Object | - | See [Display Formats](#scales-display-formats) section below.
isoWeekday | Boolean | false | If true and the unit is set to 'week', iso weekdays will be used.
max | [Time](#scales-date-formats) | - | If defined, this will override the data maximum
min | [Time](#scales-date-formats) | - | If defined, this will override the data minimum
parser | String or Function | - | If defined as a string, it is interpreted as a custom format to be used by moment to parse the date. If this is a function, it must return a moment.js object given the appropriate data value.
round | String | - | If defined, dates will be rounded to the start of this unit. See [Time Units](#scales-time-units) below for the allowed units.
tooltipFormat | String | '' | The moment js format string to use for the tooltip.
unit | String | - | If defined, will force the unit to be a certain type. See [Time Units](#scales-time-units) section below for details.
unitStepSize | Number | 1 | The number of units between grid lines.
#### Date Formats
When providing data for the time scale, Chart.js supports all of the formats that Moment.js accepts. See [Moment.js docs](http://momentjs.com/docs/#/parsing/) for details.
#### Display Formats
The following display formats are used to configure how different time units are formed into strings for the axis tick marks. See [moment.js](http://momentjs.com/docs/#/displaying/format/) for the allowable format strings.
Name | Default
--- | ---
millisecond | 'SSS [ms]'
second | 'h:mm:ss a'
minute | 'h:mm:ss a'
hour | 'MMM D, hA'
day | 'll'
week | 'll'
month | 'MMM YYYY'
quarter | '[Q]Q - YYYY'
year | 'YYYY'
For example, to set the display format for the 'quarter' unit to show the month and year, the following config would be passed to the chart constructor.
```javascript
var chartInstance = new Chart(ctx, {
type: 'line',
data: data,
options: {
scales: {
xAxes: [{
type: 'time',
time: {
displayFormats: {
quarter: 'MMM YYYY'
}
}
}]
}
}
})
```
#### Time Units
The following time measurements are supported. The names can be passed as strings to the `time.unit` config option to force a certain unit.
* millisecond
* second
* minute
* hour
* day
* week
* month
* quarter
* year
For example, to create a chart with a time scale that always displayed units per month, the following config could be used.
```javascript
var chartInstance = new Chart(ctx, {
type: 'line',
data: data,
options: {
scales: {
xAxes: [{
time: {
unit: 'month'
}
}]
}
}
})
```
### Radial Linear Scale
The radial linear scale is used specifically for the radar and polar are chart types. It overlays the chart area, rather than being positioned on one of the edges.
#### Configuration Options
The following additional configuration options are provided by the radial linear scale.
Name | Type | Default | Description
--- | --- | --- | ---
lineArc | Boolean | false | If true, circular arcs are used else straight lines are used. The former is used by the polar area chart and the latter by the radar chart
angleLines | Object | - | See the [Angle Lines](#scales-angle-line-options) section below for details.
pointLabels | Object | - | See the [Point Label](#scales-point-label) section below for details.
ticks | Object | - | See the Ticks table below for options.
#### Angle Line Options
The following options are used to configure angled lines that radiate from the center of the chart to the point labels. They can be found in the `angleLines` sub options. Note that these options only apply if `lineArc` is false.
Name | Type | Default | Description
--- | --- | --- | ---
display | Boolean | true | If true, angle lines are shown.
color | Color | 'rgba(0, 0, 0, 0.1)' | Color of angled lines
lineWidth | Number | 1 | Width of angled lines
#### Point Label Options
The following options are used to configure the point labels that are shown on the perimeter of the scale. They can be found in the `pointLabel` sub options. Note that these options only apply if `lineArc` is false.
Name | Type | Default | Description
--- | --- | --- | ---
callback | Function | - | Callback function to transform data label to axis label
fontColor | Color | '#666' | Font color
fontFamily | String | "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif" | Font family to render
fontSize | Number | 10 | Font size in pixels
fontStyle | String | 'normal' | Font Style to use
#### Tick Options
Name | Type | Default | Description
--- | --- | --- | ---
backdropColor | Color | 'rgba(255, 255, 255, 0.75)' | Color of label backdrops
backdropPaddingX | Number | 2 | Horizontal padding of label backdrop
backdropPaddingY | Number | 2 | Vertical padding of label backdrop
maxTicksLimit | Number | 11 | Maximum number of ticks and gridlines to show. If not defined, it will limit to 11 ticks but will show all gridlines.
showLabelBackdrop | Boolean | true | If true, draw a background behind the tick labels
### Update Default Scale config
The default configuration for a scale can be easily changed using the scale service. Pass in a partial configuration that will be merged with the current scale default configuration.
For example, to set the minimum value of 0 for all linear scales, you would do the following. Any linear scales created after this time would now have a minimum of 0.
```
Chart.scaleService.updateScaleDefaults('linear', {
ticks: {
min: 0
}
})
```

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---
title: Line Chart
anchor: line-chart
---
### Introduction
A line chart is a way of plotting data points on a line. Often, it is used to show trend data, and the comparison of two data sets.
<div class="canvas-holder">
<canvas width="250" height="125"></canvas>
</div>
### Example Usage
```javascript
var myLineChart = new Chart(ctx, {
type: 'line',
data: data,
options: options
});
```
Alternatively a line chart can be created using syntax similar to the v1.0 syntax
```javascript
var myLineChart = Chart.Line(ctx, {
data: data,
options: options
});
```
### Data Structure
The following options can be included in a line chart dataset to configure options for that specific dataset.
All point* properties can be specified as an array. If these are set to an array value, the first value applies to the first point, the second value to the second point, and so on.
Property | Type | Usage
--- | --- | ---
data | See [data point](#line-chart-data-points) section | The data to plot in a line
label | `String` | The label for the dataset which appears in the legend and tooltips
xAxisID | `String` | The ID of the x axis to plot this dataset on
yAxisID | `String` | The ID of the y axis to plot this dataset on
fill | `Boolean` | If true, fill the area under the line
lineTension | `Number` | Bezier curve tension of the line. Set to 0 to draw straightlines. *Note* This was renamed from 'tension' but the old name still works.
backgroundColor | `Color` | The fill color under the line. See [Colors](#getting-started-colors)
borderWidth | `Number` | The width of the line in pixels
borderColor | `Color` | The color of the line.
borderCapStyle | `String` | Cap style of the line. See [MDN](https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/lineCap)
borderDash | `Array<Number>` | Length and spacing of dashes. See [MDN](https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/setLineDash)
borderDashOffset | `Number` | Offset for line dashes. See [MDN](https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/lineDashOffset)
borderJoinStyle | `String` | Line joint style. See [MDN](https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/lineJoin)
pointBorderColor | `Color or Array<Color>` | The border color for points.
pointBackgroundColor | `Color or Array<Color>` | The fill color for points
pointBorderWidth | `Number or Array<Number>` | The width of the point border in pixels
pointRadius | `Number or Array<Number>` | The radius of the point shape. If set to 0, nothing is rendered.
pointHoverRadius | `Number or Array<Number>` | The radius of the point when hovered
pointHitRadius | `Number or Array<Number>` | The pixel size of the non-displayed point that reacts to mouse events
pointHoverBackgroundColor | `Color or Array<Color>` | Point background color when hovered
pointHoverBorderColor | `Color or Array<Color>` | Point border color when hovered
pointHoverBorderWidth | `Number or Array<Number>` | Border width of point when hovered
pointStyle | `String, Array<String>, Image, Array<Image>` | The style of point. Options are 'circle', 'triangle', 'rect', 'rectRot', 'cross', 'crossRot', 'star', 'line', and 'dash'. If the option is an image, that image is drawn on the canvas using `drawImage`.
An example data object using these attributes is shown below.
```javascript
var data = {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [
{
label: "My First dataset",
fill: false,
lineTension: 0.1,
backgroundColor: "rgba(75,192,192,0.4)",
borderColor: "rgba(75,192,192,1)",
borderCapStyle: 'butt',
borderDash: [],
borderDashOffset: 0.0,
borderJoinStyle: 'miter',
pointBorderColor: "rgba(75,192,192,1)",
pointBackgroundColor: "#fff",
pointBorderWidth: 1,
pointHoverRadius: 5,
pointHoverBackgroundColor: "rgba(75,192,192,1)",
pointHoverBorderColor: "rgba(220,220,220,1)",
pointHoverBorderWidth: 2,
pointRadius: 1,
pointHitRadius: 10,
data: [65, 59, 80, 81, 56, 55, 40],
}
]
};
```
The line chart usually requires an array of labels. This labels are shown on the X axis. There must be one label for each data point. More labels than datapoints are allowed, in which case the line ends at the last data point.
The data for line charts is broken up into an array of datasets. Each dataset has a colour for the fill, a colour for the line and colours for the points and strokes of the points. These colours are strings just like CSS. You can use RGBA, RGB, HEX or HSL notation.
The label key on each dataset is optional, and can be used when generating a scale for the chart.
### Data Points
The data passed to the chart can be passed in two formats. The most common method is to pass the data array as an array of numbers. In this case, the `data.labels` array must be specified and must contain a label for each point.
The alternate is used for sparse datasets. Data is specified using an object containing `x` and `y` properties. This is used for scatter charts as documented below.
### Scatter Line Charts
Scatter line charts can be created by changing the X axis to a linear axis. To use a scatter chart, data must be passed as objects containing X and Y properties. The example below creates a scatter chart with 3 points.
```javascript
var scatterChart = new Chart(ctx, {
type: 'line',
data: {
datasets: [{
label: 'Scatter Dataset',
data: [{
x: -10,
y: 0
}, {
x: 0,
y: 10
}, {
x: 10,
y: 5
}]
}]
},
options: {
scales: {
xAxes: [{
type: 'linear',
position: 'bottom'
}]
}
}
});
```
### Chart Options
These are the customisation options specific to Line charts. These options are merged with the [global chart configuration options](#chart-configuration-global-configuration), and form the options of the chart.
Name | Type | Default | Description
--- | --- | --- | ---
showLines | Boolean | true | If false, the lines between points are not drawn
You can override these for your `Chart` instance by passing a member `options` into the `Line` method.
For example, we could have a line chart display without an X axis by doing the following. The config merge is smart enough to handle arrays so that you do not need to specify all axis settings to change one thing.
```javascript
new Chart(ctx, {
type: 'line',
data: data,
options: {
scales: {
xAxes: [{
display: false
}]
}
}
});
```
We can also change these defaults values for each Line type that is created, this object is available at `Chart.defaults.line`.
### Stacked Charts
Stacked area charts can be created by setting the Y axis to a stacked configuration. The following example would have stacked lines.
```javascript
var stackedLine = new Chart(ctx, {
type: 'line',
data: data,
options: {
scales: {
yAxes: [{
stacked: true
}]
}
}
});
```

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---
title: Bar Chart
anchor: bar-chart
---
### Introduction
A bar chart is a way of showing data as bars.
It is sometimes used to show trend data, and the comparison of multiple data sets side by side.
<div class="canvas-holder">
<canvas width="250" height="125"></canvas>
</div>
### Example Usage
```javascript
var myBarChart = new Chart(ctx, {
type: 'bar',
data: data,
options: options
});
```
Or if you want horizontal bars.
```javascript
var myBarChart = new Chart(ctx, {
type: 'horizontalBar',
data: data,
options: options
});
```
### Data Structure
The following options can be included in a bar chart dataset to configure options for that specific dataset.
Some properties can be specified as an array. If these are set to an array value, the first value applies to the first bar, the second value to the second bar, and so on.
Property | Type | Usage
--- | --- | ---
data | `Array<Number>` | The data to plot as bars
label | `String` | The label for the dataset which appears in the legend and tooltips
xAxisID | `String` | The ID of the x axis to plot this dataset on
yAxisID | `String` | The ID of the y axis to plot this dataset on
backgroundColor | `Color or Array<Color>` | The fill color of the bars. See [Colors](#getting-started-colors)
borderColor | `Color or Array<Color>` | Bar border color
borderWidth | `Number or Array<Number>` | Border width of bar in pixels
borderSkipped | `String or Array<String>` | Which edge to skip drawing the border for. Options are 'bottom', 'left', 'top', and 'right'
hoverBackgroundColor | `Color or Array<Color>` | Bar background color when hovered
hoverBorderColor | `Color or Array<Color>` | Bar border color when hovered
hoverBorderWidth | `Number or Array<Number>` | Border width of bar when hovered
An example data object using these attributes is shown below.
```javascript
var data = {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [
{
label: "My First dataset",
backgroundColor: "rgba(255,99,132,0.2)",
borderColor: "rgba(255,99,132,1)",
borderWidth: 1,
hoverBackgroundColor: "rgba(255,99,132,0.4)",
hoverBorderColor: "rgba(255,99,132,1)",
data: [65, 59, 80, 81, 56, 55, 40],
}
]
};
```
The bar chart has the a very similar data structure to the line chart, and has an array of datasets, each with colours and an array of data.
We have an array of labels too for display. In the example, we are showing the same data as the previous line chart example.
### Chart Options
These are the customisation options specific to Bar charts. These options are merged with the [global chart configuration options](#global-chart-configuration), and form the options of the chart.
The default options for bar chart are defined in `Chart.defaults.bar`.
Name | Type | Default | Description
--- |:---:| --- | ---
*hover*.mode | String | "label" | Label's hover mode. "label" is used since the x axis displays data by the index in the dataset.
scales | Object | - | -
*scales*.xAxes | Array | | The bar chart officially supports only 1 x-axis but uses an array to keep the API consistent. Use a scatter chart if you need multiple x axes.
*Options for xAxes* | | |
type | String | "Category" | As defined in [Scales](#scales-category-scale).
display | Boolean | true | If true, show the scale.
id | String | "x-axis-0" | Id of the axis so that data can bind to it
stacked | Boolean | false | If true, bars are stacked on the x-axis
categoryPercentage | Number | 0.8 | Percent (0-1) of the available width (the space between the gridlines for small datasets) for each data-point to use for the bars. [Read More](#bar-chart-barpercentage-vs-categorypercentage)
barPercentage | Number | 0.9 | Percent (0-1) of the available width each bar should be within the category percentage. 1.0 will take the whole category width and put the bars right next to each other. [Read More](#bar-chart-barpercentage-vs-categorypercentage)
gridLines | Object | [See Scales](#scales) |
*gridLines*.offsetGridLines | Boolean | true | If true, the bars for a particular data point fall between the grid lines. If false, the grid line will go right down the middle of the bars.
| | |
*scales*.yAxes | Array | `[{ type: "linear" }]` |
*Options for xAxes* | | |
type | String | "linear" | As defined in [Scales](#scales-linear-scale).
display | Boolean | true | If true, show the scale.
id | String | "y-axis-0" | Id of the axis so that data can bind to it.
stacked | Boolean | false | If true, bars are stacked on the y-axis
You can override these for your `Chart` instance by passing a second argument into the `Bar` method as an object with the keys you want to override.
For example, we could have a bar chart without a stroke on each bar by doing the following:
```javascript
new Chart(ctx, {
type: "bar",
data: data,
options: {
scales: {
xAxes: [{
stacked: true
}],
yAxes: [{
stacked: true
}]
}
}
}
});
// This will create a chart with all of the default options, merged from the global config,
// and the Bar chart defaults but this particular instance will have `stacked` set to true
// for both x and y axes.
```
We can also change these defaults values for each Bar type that is created, this object is available at `Chart.defaults.bar`. For horizontal bars, this object is available at `Chart.defaults.horizontalBar`.
The default options for horizontal bar charts are defined in `Chart.defaults.horizontalBar` and are same as those of the bar chart, but with `xAxes` and `yAxes` swapped and the following additional options.
Name | Type | Default | Description
--- |:---:| --- | ---
*Options for xAxes* | | |
position | String | "bottom" |
*Options for yAxes* | | |
position | String | "left" |
### barPercentage vs categoryPercentage
The following shows the relationship between the bar percentage option and the category percentage option.
```text
// categoryPercentage: 1.0
// barPercentage: 1.0
Bar: | 1.0 | 1.0 |
Category: | 1.0 |
Sample: |===========|
// categoryPercentage: 1.0
// barPercentage: 0.5
Bar: |.5| |.5|
Category: | 1.0 |
Sample: |==============|
// categoryPercentage: 0.5
// barPercentage: 1.0
Bar: |1.||1.|
Category: | .5 |
Sample: |==============|
```

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---
title: Radar Chart
anchor: radar-chart
---
### Introduction
A radar chart is a way of showing multiple data points and the variation between them.
They are often useful for comparing the points of two or more different data sets.
<div class="canvas-holder">
<canvas width="250" height="125"></canvas>
</div>
### Example Usage
```javascript
var myRadarChart = new Chart(ctx, {
type: 'radar',
data: data,
options: options
});
```
### Data Structure
The following options can be included in a radar chart dataset to configure options for that specific dataset.
All point* properties can be specified as an array. If these are set to an array value, the first value applies to the first point, the second value to the second point, and so on.
Property | Type | Usage
--- | --- | ---
data | `Array<Number>` | The data to plot in a line
label | `String` | The label for the dataset which appears in the legend and tooltips
fill | `Boolean` | If true, fill the area under the line
lineTension | `Number` | Bezier curve tension of the line. Set to 0 to draw straightlines. *Note* This was renamed from 'tension' but the old name still works.
backgroundColor | `Color` | The fill color under the line. See [Colors](#getting-started-colors)
borderWidth | `Number` | The width of the line in pixels
borderColor | `Color` | The color of the line.
borderCapStyle | `String` | Cap style of the line. See [MDN](https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/lineCap)
borderDash | `Array<Number>` | Length and spacing of dashes. See [MDN](https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/setLineDash)
borderDashOffset | `Number` | Offset for line dashes. See [MDN](https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/lineDashOffset)
borderJoinStyle | `String` | Line joint style. See [MDN](https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/lineJoin)
pointBorderColor | `Color or Array<Color>` | The border color for points.
pointBackgroundColor | `Color or Array<Color>` | The fill color for points
pointBorderWidth | `Number or Array<Number>` | The width of the point border in pixels
pointRadius | `Number or Array<Number>` | The radius of the point shape. If set to 0, nothing is rendered.
pointHoverRadius | `Number or Array<Number>` | The radius of the point when hovered
hitRadius | `Number or Array<Number>` | The pixel size of the non-displayed point that reacts to mouse events
pointHoverBackgroundColor | `Color or Array<Color>` | Point background color when hovered
pointHoverBorderColor | `Color or Array<Color>` | Point border color when hovered
pointHoverBorderWidth | `Number or Array<Number>` | Border width of point when hovered
pointStyle | `String or Array<String>` | The style of point. Options include 'circle', 'triangle', 'rect', 'rectRot', 'cross', 'crossRot', 'star', 'line', and 'dash'
An example data object using these attributes is shown below.
```javascript
var data = {
labels: ["Eating", "Drinking", "Sleeping", "Designing", "Coding", "Cycling", "Running"],
datasets: [
{
label: "My First dataset",
backgroundColor: "rgba(179,181,198,0.2)",
borderColor: "rgba(179,181,198,1)",
pointBackgroundColor: "rgba(179,181,198,1)",
pointBorderColor: "#fff",
pointHoverBackgroundColor: "#fff",
pointHoverBorderColor: "rgba(179,181,198,1)",
data: [65, 59, 90, 81, 56, 55, 40]
},
{
label: "My Second dataset",
backgroundColor: "rgba(255,99,132,0.2)",
borderColor: "rgba(255,99,132,1)",
pointBackgroundColor: "rgba(255,99,132,1)",
pointBorderColor: "#fff",
pointHoverBackgroundColor: "#fff",
pointHoverBorderColor: "rgba(255,99,132,1)",
data: [28, 48, 40, 19, 96, 27, 100]
}
]
};
```
For a radar chart, to provide context of what each point means, we include an array of strings that show around each point in the chart.
For the radar chart data, we have an array of datasets. Each of these is an object, with a fill colour, a stroke colour, a colour for the fill of each point, and a colour for the stroke of each point. We also have an array of data values.
The label key on each dataset is optional, and can be used when generating a scale for the chart.
### Chart Options
These are the customisation options specific to Radar charts. These options are merged with the [global chart configuration options](#global-chart-configuration), and form the options of the chart.
The default options for radar chart are defined in `Chart.defaults.radar`.
Name | Type | Default | Description
--- | --- | --- | ---
scale | Object | [See Scales](#scales) and [Defaults for Radial Linear Scale](#scales-radial-linear-scale) | Options for the one scale used on the chart. Use this to style the ticks, labels, and grid lines.
*scale*.type | String |"radialLinear" | As defined in ["Radial Linear"](#scales-radial-linear-scale).
*elements*.line | Object | | Options for all line elements used on the chart, as defined in the global elements, duplicated here to show Radar chart specific defaults.
*elements.line*.lineTension | Number | 0 | Tension exhibited by lines when calculating splineCurve. Setting to 0 creates straight lines.
You can override these for your `Chart` instance by passing a second argument into the `Radar` method as an object with the keys you want to override.
For example, we could have a radar chart without a point for each on piece of data by doing the following:
```javascript
new Chart(ctx, {
type: "radar",
data: data,
options: {
scale: {
reverse: true,
ticks: {
beginAtZero: true
}
}
}
});
// This will create a chart with all of the default options, merged from the global config,
// and the Radar chart defaults but this particular instance's scale will be reversed as
// well as the ticks beginning at zero.
```
We can also change these defaults values for each Radar type that is created, this object is available at `Chart.defaults.radar`.

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---
title: Polar Area Chart
anchor: polar-area-chart
---
### Introduction
Polar area charts are similar to pie charts, but each segment has the same angle - the radius of the segment differs depending on the value.
This type of chart is often useful when we want to show a comparison data similar to a pie chart, but also show a scale of values for context.
<div class="canvas-holder">
<canvas width="250" height="125"></canvas>
</div>
### Example Usage
```javascript
new Chart(ctx, {
data: data,
type: 'polarArea',
options: options
});
```
### Data Structure
The following options can be included in a polar area chart dataset to configure options for that specific dataset.
Some properties are specified as arrays. The first value applies to the first bar, the second value to the second bar, and so on.
Property | Type | Usage
--- | --- | ---
data | `Array<Number>` | The data to plot as bars
label | `String` | The label for the dataset which appears in the legend and tooltips
backgroundColor | `Array<Color>` | The fill color of the arcs. See [Colors](#getting-started-colors)
borderColor | `Array<Color>` | Arc border color
borderWidth | `Array<Number>` | Border width of arcs in pixels
hoverBackgroundColor | `Array<Color>` | Arc background color when hovered
hoverBorderColor | `Array<Color>` | Arc border color when hovered
hoverBorderWidth | `Array<Number>` | Border width of arc when hovered
An example data object using these attributes is shown below.
```javascript
var data = {
datasets: [{
data: [
11,
16,
7,
3,
14
],
backgroundColor: [
"#FF6384",
"#4BC0C0",
"#FFCE56",
"#E7E9ED",
"#36A2EB"
],
label: 'My dataset' // for legend
}],
labels: [
"Red",
"Green",
"Yellow",
"Grey",
"Blue"
]
};
```
As you can see, for the chart data you pass in an array of objects, with a value and a colour. The value attribute should be a number, while the color attribute should be a string. Similar to CSS, for this string you can use HEX notation, RGB, RGBA or HSL.
### Chart Options
These are the customisation options specific to Polar Area charts. These options are merged with the [global chart configuration options](#global-chart-configuration), and form the options of the chart.
Name | Type | Default | Description
--- | --- | --- | ---
scale | Object | [See Scales](#scales) and [Defaults for Radial Linear Scale](#scales-radial-linear-scale) | Options for the one scale used on the chart. Use this to style the ticks, labels, and grid.
*scale*.type | String |"radialLinear" | As defined in ["Radial Linear"](#scales-radial-linear-scale).
*scale*.lineArc | Boolean | true | When true, lines are circular.
*animation*.animateRotate | Boolean |true | If true, will animate the rotation of the chart.
*animation*.animateScale | Boolean | true | If true, will animate scaling the chart.
*legend*.*labels*.generateLabels | Function | `function(data) {} ` | Returns labels for each the legend
*legend*.onClick | Function | function(event, legendItem) {} ` | Handles clicking an individual legend item
legendCallback | Function | `function(chart) ` | Generates the HTML legend via calls to `generateLegend`
You can override these for your `Chart` instance by passing a second argument into the `PolarArea` method as an object with the keys you want to override.
For example, we could have a polar area chart with a black stroke on each segment like so:
```javascript
new Chart(ctx, {
data: data,
type: "polarArea",
options: {
elements: {
arc: {
borderColor: "#000000"
}
}
}
});
// This will create a chart with all of the default options, merged from the global config,
// and the PolarArea chart defaults but this particular instance will have `elements.arc.borderColor` set to `"#000000"`.
```
We can also change these defaults values for each PolarArea type that is created, this object is available at `Chart.defaults.polarArea`.

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---
title: Pie & Doughnut Charts
anchor: doughnut-pie-chart
---
### Introduction
Pie and doughnut charts are probably the most commonly used chart there are. They are divided into segments, the arc of each segment shows the proportional value of each piece of data.
They are excellent at showing the relational proportions between data.
Pie and doughnut charts are effectively the same class in Chart.js, but have one different default value - their `cutoutPercentage`. This equates what percentage of the inner should be cut out. This defaults to `0` for pie charts, and `50` for doughnuts.
They are also registered under two aliases in the `Chart` core. Other than their different default value, and different alias, they are exactly the same.
<div class="canvas-holder half">
<canvas width="250" height="125"></canvas>
</div>
<div class="canvas-holder half">
<canvas width="250" height="125"></canvas>
</div>
<br>
### Example Usage
```javascript
// For a pie chart
var myPieChart = new Chart(ctx,{
type: 'pie',
data: data,
options: options
});
```
```javascript
// And for a doughnut chart
var myDoughnutChart = new Chart(ctx, {
type: 'doughnut',
data: data,
options: options
});
```
### Data Structure
Property | Type | Usage
--- | --- | ---
data | `Array<Number>` | The data to plot as bars
label | `String` | The label for the dataset which appears in the legend and tooltips
backgroundColor | `Array<Color>` | The fill color of the arcs. See [Colors](#getting-started-colors)
borderColor | `Array<Color>` | Arc border color
borderWidth | `Array<Number>` | Border width of arcs in pixels
hoverBackgroundColor | `Array<Color>` | Arc background color when hovered
hoverBorderColor | `Array<Color>` | Arc border color when hovered
hoverBorderWidth | `Array<Number>` | Border width of arc when hovered
An example data object using these attributes is shown below.
```javascript
var data = {
labels: [
"Red",
"Blue",
"Yellow"
],
datasets: [
{
data: [300, 50, 100],
backgroundColor: [
"#FF6384",
"#36A2EB",
"#FFCE56"
],
hoverBackgroundColor: [
"#FF6384",
"#36A2EB",
"#FFCE56"
]
}]
};
```
For a pie chart, datasets need to contain an array of data points. The data points should be a number, Chart.js will total all of the numbers and calculate the relative proportion of each. You can also add an array of background colors. The color attributes should be a string. Similar to CSS, for this string you can use HEX notation, RGB, RGBA or HSL.
### Chart Options
These are the customisation options specific to Pie & Doughnut charts. These options are merged with the [global chart configuration options](#global-chart-configuration), and form the options of the chart.
Name | Type | Default | Description
--- | --- | --- | ---
cutoutPercentage | Number | 50 - for doughnut, 0 - for pie | The percentage of the chart that is cut out of the middle.
rotation | Number | -0.5 * Math.PI | Starting angle to draw arcs from
circumference | Number | 2 * Math.PI | Sweep to allow arcs to cover
*animation*.animateRotate | Boolean |true | If true, will animate the rotation of the chart.
*animation*.animateScale | Boolean | false | If true, will animate scaling the Doughnut from the centre.
*legend*.*labels*.generateLabels | Function | `function(chart) {} ` | Returns a label for each item to be displayed on the legend.
*legend*.onClick | Function | function(event, legendItem) {} ` | Handles clicking an individual legend item
You can override these for your `Chart` instance by passing a second argument into the `Doughnut` method as an object with the keys you want to override.
For example, we could have a doughnut chart that animates by scaling out from the centre like so:
```javascript
new Chart(ctx,{
type:"doughnut",
animation:{
animateScale:true
}
});
// This will create a chart with all of the default options, merged from the global config,
// and the Doughnut chart defaults but this particular instance will have `animateScale` set to `true`.
```
We can also change these default values for each Doughnut type that is created, this object is available at `Chart.defaults.doughnut`. Pie charts also have a clone of these defaults available to change at `Chart.defaults.pie`, with the only difference being `cutoutPercentage` being set to 0.

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---
title: Bubble Chart
anchor: bubble-chart
---
### Introduction
A bubble chart is used to display three dimensions of data at the same time. The location of the bubble is determined by the first two dimensions and the corresponding horizontal and vertical axes. The third dimension is represented by the size of the individual bubbles.
<div class="canvas-holder">
<canvas width="250" height="125"></canvas>
</div>
<br>
### Example Usage
```javascript
// For a bubble chart
var myBubbleChart = new Chart(ctx,{
type: 'bubble',
data: data,
options: options
});
```
### Data Structure
Property | Type | Usage
--- | --- | ---
data | `Array<BubbleDataObject>` | The data to plot as bubbles. See [Data format](#bubble-chart-data-format)
label | `String` | The label for the dataset which appears in the legend and tooltips
backgroundColor | `Color Array<Color>` | The fill color of the bubbles.
borderColor | `Color or Array<Color>` | The stroke color of the bubbles.
borderWidth | `Number or Array<Number>` | The stroke width of bubble in pixels.
hoverBackgroundColor | `Color or Array<Color>` | The fill color of the bubbles when hovered.
hoverBorderColor | `Color or Array<Color>` | The stroke color of the bubbles when hovered.
hoverBorderWidth | `Number or Array<Number>` | The stroke width of the bubbles when hovered.
hoverRadius | `Number or Array<Number>` | Additional radius to add to data radius on hover.
An example data object using these attributes is shown below. This example creates a single dataset with 2 different bubbles.
```javascript
var data = {
datasets: [
{
label: 'First Dataset',
data: [
{
x: 20,
y: 30,
r: 15
},
{
x: 40,
y: 10,
r: 10
}
],
backgroundColor:"#FF6384",
hoverBackgroundColor: "#FF6384",
}]
};
```
### Data Object
Data for the bubble chart is passed in the form of an object. The object must implement the following interface. It is important to note that the radius property, `r` is **not** scaled by the chart. It is the raw radius in pixels of the bubble that is drawn on the canvas.
```javascript
{
// X Value
x: <Number>,
// Y Value
y: <Number>,
// Radius of bubble. This is not scaled.
r: <Number>
}
```
### Chart Options
The bubble chart has no unique configuration options. To configure options common to all of the bubbles, the point element options are used.
For example, to give all bubbles a 1px wide black border, the following options would be used.
```javascript
new Chart(ctx,{
type:"bubble",
options: {
elements: {
points: {
borderWidth: 1,
borderColor: 'rgb(0, 0, 0)'
}
}
}
});
```
We can also change the default values for the Bubble chart type. Doing so will give all bubble charts created after this point the new defaults. The default configuration for the bubble chart can be accessed at `Chart.defaults.bubble`.

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---
title: Advanced usage
anchor: advanced-usage
---
### Prototype Methods
For each chart, there are a set of global prototype methods on the shared `ChartType` which you may find useful. These are available on all charts created with Chart.js, but for the examples, let's use a line chart we've made.
```javascript
// For example:
var myLineChart = new Chart(ctx, config);
```
#### .destroy()
Use this to destroy any chart instances that are created. This will clean up any references stored to the chart object within Chart.js, along with any associated event listeners attached by Chart.js.
This must be called before the canvas is reused for a new chart.
```javascript
// Destroys a specific chart instance
myLineChart.destroy();
```
#### .update(duration, lazy)
Triggers an update of the chart. This can be safely called after replacing the entire data object. This will update all scales, legends, and then re-render the chart.
```javascript
// duration is the time for the animation of the redraw in miliseconds
// lazy is a boolean. if true, the animation can be interupted by other animations
myLineChart.data.datasets[0].data[2] = 50; // Would update the first dataset's value of 'March' to be 50
myLineChart.update(); // Calling update now animates the position of March from 90 to 50.
```
#### .render(duration, lazy)
Triggers a redraw of all chart elements. Note, this does not update elements for new data. Use `.update()` in that case.
```javascript
// duration is the time for the animation of the redraw in miliseconds
// lazy is a boolean. if true, the animation can be interupted by other animations
myLineChart.render(duration, lazy);
```
#### .stop()
Use this to stop any current animation loop. This will pause the chart during any current animation frame. Call `.render()` to re-animate.
```javascript
// Stops the charts animation loop at its current frame
myLineChart.stop();
// => returns 'this' for chainability
```
#### .resize()
Use this to manually resize the canvas element. This is run each time the canvas container is resized, but you can call this method manually if you change the size of the canvas nodes container element.
```javascript
// Resizes & redraws to fill its container element
myLineChart.resize();
// => returns 'this' for chainability
```
#### .clear()
Will clear the chart canvas. Used extensively internally between animation frames, but you might find it useful.
```javascript
// Will clear the canvas that myLineChart is drawn on
myLineChart.clear();
// => returns 'this' for chainability
```
#### .toBase64Image()
This returns a base 64 encoded string of the chart in it's current state.
```javascript
myLineChart.toBase64Image();
// => returns png data url of the image on the canvas
```
#### .generateLegend()
Returns an HTML string of a legend for that chart. The legend is generated from the `legendCallback` in the options.
```javascript
myLineChart.generateLegend();
// => returns HTML string of a legend for this chart
```
#### .getElementAtEvent(e)
Calling `getElementAtEvent(event)` on your Chart instance passing an argument of an event, or jQuery event, will return the single element at the event position. If there are multiple items within range, only the first is returned
```javascript
myLineChart.getElementAtEvent(e);
// => returns the first element at the event point.
```
#### .getElementsAtEvent(e)
Looks for the element under the event point, then returns all elements at the same data index. This is used internally for 'label' mode highlighting.
Calling `getElementsAtEvent(event)` on your Chart instance passing an argument of an event, or jQuery event, will return the point elements that are at that the same position of that event.
```javascript
canvas.onclick = function(evt){
var activePoints = myLineChart.getElementsAtEvent(evt);
// => activePoints is an array of points on the canvas that are at the same position as the click event.
};
```
This functionality may be useful for implementing DOM based tooltips, or triggering custom behaviour in your application.
#### .getDatasetAtEvent(e)
Looks for the element under the event point, then returns all elements from that dataset. This is used internally for 'dataset' mode highlighting
```javascript
myLineChart.getDatasetAtEvent(e);
// => returns an array of elements
```
### External Tooltips
You can enable custom tooltips in the global or chart configuration like so:
```javascript
var myPieChart = new Chart(ctx, {
type: 'pie',
data: data,
options: {
tooltips: {
custom: function(tooltip) {
// tooltip will be false if tooltip is not visible or should be hidden
if (!tooltip) {
return;
}
// Otherwise, tooltip will be an object with all tooltip properties like:
// tooltip.caretSize
// tooltip.caretPadding
// tooltip.chart
// tooltip.cornerRadius
// tooltip.fillColor
// tooltip.font...
// tooltip.text
// tooltip.x
// tooltip.y
// etc...
}
}
}
});
```
See `sample/line-customTooltips.html` for examples on how to get started.
### Writing New Scale Types
Starting with Chart.js 2.0 scales can be individually extended. Scales should always derive from Chart.Scale.
```javascript
var MyScale = Chart.Scale.extend({
/* extensions ... */
});
// MyScale is now derived from Chart.Scale
```
Once you have created your scale class, you need to register it with the global chart object so that it can be used. A default config for the scale may be provided when registering the constructor. The first parameter to the register function is a string key that is used later to identify which scale type to use for a chart.
```javascript
Chart.scaleService.registerScaleType('myScale', MyScale, defaultConfigObject);
```
To use the new scale, simply pass in the string key to the config when creating a chart.
```javascript
var lineChart = new Chart(ctx, {
data: data,
type: 'line',
options: {
scales: {
yAxes: [{
type: 'myScale' // this is the same key that was passed to the registerScaleType function
}]
}
}
})
```
#### Scale Properties
Scale instances are given the following properties during the fitting process.
```javascript
{
left: Number, // left edge of the scale bounding box
right: Number, // right edge of the bounding box'
top: Number,
bottom: Number,
width: Number, // the same as right - left
height: Number, // the same as bottom - top
// Margin on each side. Like css, this is outside the bounding box.
margins: {
left: Number,
right: Number,
top: Number,
bottom: Number,
},
// Amount of padding on the inside of the bounding box (like CSS)
paddingLeft: Number,
paddingRight: Number,
paddingTop: Number,
paddingBottom: Number,
}
```
#### Scale Interface
To work with Chart.js, custom scale types must implement the following interface.
```javascript
{
// Determines the data limits. Should set this.min and this.max to be the data max/min
determineDataLimits: function() {},
// Generate tick marks. this.chart is the chart instance. The data object can be accessed as this.chart.data
// buildTicks() should create a ticks array on the axis instance, if you intend to use any of the implementations from the base class
buildTicks: function() {},
// Get the value to show for the data at the given index of the the given dataset, ie this.chart.data.datasets[datasetIndex].data[index]
getLabelForIndex: function(index, datasetIndex) {},
// Get the pixel (x coordinate for horizontal axis, y coordinate for vertical axis) for a given value
// @param index: index into the ticks array
// @param includeOffset: if true, get the pixel halway between the given tick and the next
getPixelForTick: function(index, includeOffset) {},
// Get the pixel (x coordinate for horizontal axis, y coordinate for vertical axis) for a given value
// @param value : the value to get the pixel for
// @param index : index into the data array of the value
// @param datasetIndex : index of the dataset the value comes from
// @param includeOffset : if true, get the pixel halway between the given tick and the next
getPixelForValue: function(value, index, datasetIndex, includeOffset) {}
// Get the value for a given pixel (x coordinate for horizontal axis, y coordinate for vertical axis)
// @param pixel : pixel value
getValueForPixel: function(pixel) {}
}
```
Optionally, the following methods may also be overwritten, but an implementation is already provided by the `Chart.Scale` base class.
```javascript
// Transform the ticks array of the scale instance into strings. The default implementation simply calls this.options.ticks.callback(numericalTick, index, ticks);
convertTicksToLabels: function() {},
// Determine how much the labels will rotate by. The default implementation will only rotate labels if the scale is horizontal.
calculateTickRotation: function() {},
// Fits the scale into the canvas.
// this.maxWidth and this.maxHeight will tell you the maximum dimensions the scale instance can be. Scales should endeavour to be as efficient as possible with canvas space.
// this.margins is the amount of space you have on either side of your scale that you may expand in to. This is used already for calculating the best label rotation
// You must set this.minSize to be the size of your scale. It must be an object containing 2 properties: width and height.
// You must set this.width to be the width and this.height to be the height of the scale
fit: function() {},
// Draws the scale onto the canvas. this.(left|right|top|bottom) will have been populated to tell you the area on the canvas to draw in
// @param chartArea : an object containing four properties: left, right, top, bottom. This is the rectangle that lines, bars, etc will be drawn in. It may be used, for example, to draw grid lines.
draw: function(chartArea) {},
```
The Core.Scale base class also has some utility functions that you may find useful.
```javascript
{
// Returns true if the scale instance is horizontal
isHorizontal: function() {},
// Get the correct value from the value from this.chart.data.datasets[x].data[]
// If dataValue is an object, returns .x or .y depending on the return of isHorizontal()
// If the value is undefined, returns NaN
// Otherwise returns the value.
// Note that in all cases, the returned value is not guaranteed to be a Number
getRightValue: function(dataValue) {},
}
```
### Writing New Chart Types
Chart.js 2.0 introduces the concept of controllers for each dataset. Like scales, new controllers can be written as needed.
```javascript
Chart.controllers.MyType = Chart.DatasetController.extend({
});
// Now we can create a new instance of our chart, using the Chart.js API
new Chart(ctx, {
// this is the string the constructor was registered at, ie Chart.controllers.MyType
type: 'MyType',
data: data,
options: options
});
```
#### Dataset Controller Interface
Dataset controllers must implement the following interface.
```javascript
{
// Create elements for each piece of data in the dataset. Store elements in an array on the dataset as dataset.metaData
addElements: function() {},
// Create a single element for the data at the given index and reset its state
addElementAndReset: function(index) {},
// Draw the representation of the dataset
// @param ease : if specified, this number represents how far to transition elements. See the implementation of draw() in any of the provided controllers to see how this should be used
draw: function(ease) {},
// Remove hover styling from the given element
removeHoverStyle: function(element) {},
// Add hover styling to the given element
setHoverStyle: function(element) {},
// Update the elements in response to new data
// @param reset : if true, put the elements into a reset state so they can animate to their final values
update: function(reset) {},
}
```
The following methods may optionally be overridden by derived dataset controllers
```javascript
{
// Initializes the controller
initialize: function(chart, datasetIndex) {},
// Ensures that the dataset represented by this controller is linked to a scale. Overridden to helpers.noop in the polar area and doughnut controllers as these
// chart types using a single scale
linkScales: function() {},
// Called by the main chart controller when an update is triggered. The default implementation handles the number of data points changing and creating elements appropriately.
buildOrUpdateElements: function() {}
}
```
### Extending Existing Chart Types
Extending or replacing an existing controller type is easy. Simply replace the constructor for one of the built in types with your own.
The built in controller types are:
* `Chart.controllers.line`
* `Chart.controllers.bar`
* `Chart.controllers.radar`
* `Chart.controllers.doughnut`
* `Chart.controllers.polarArea`
* `Chart.controllers.bubble`
#### Bar Controller
The bar controller has a special property that you should be aware of. To correctly calculate the width of a bar, the controller must determine the number of datasets that map to bars. To do this, the bar controller attaches a property `bar` to the dataset during initialization. If you are creating a replacement or updated bar controller, you should do the same. This will ensure that charts with regular bars and your new derived bars will work seamlessly.
### Creating Plugins
Starting with v2.1.0, you can create plugins for chart.js. To register your plugin, simply call `Chart.pluginService.register` and pass your plugin in.
Plugins will be called at the following times
* Start of initialization
* End of initialization
* Start of update
* After the chart scales have calculated
* End of update (before render occurs)
* Start of draw
* End of draw
* Before an animation is started
Plugins should derive from Chart.PluginBase and implement the following interface
```javascript
{
beforeInit: function(chartInstance) { },
afterInit: function(chartInstance) { },
beforeUpdate: function(chartInstance) { },
afterScaleUpdate: function(chartInstance) { }
afterUpdate: function(chartInstance) { },
// This is called at the start of a render. It is only called once, even if the animation will run for a number of frames. Use beforeDraw or afterDraw
// to do something on each animation frame
beforeRender: function(chartInstance) { },
// Easing is for animation
beforeDraw: function(chartInstance, easing) { },
afterDraw: function(chartInstance, easing) { }
destroy: function(chartInstance) { }
}
```
### Building Chart.js
Chart.js uses <a href="http://gulpjs.com/" target="_blank">gulp</a> to build the library into a single JavaScript file.
Firstly, we need to ensure development dependencies are installed. With node and npm installed, after cloning the Chart.js repo to a local directory, and navigating to that directory in the command line, we can run the following:
```bash
npm install
npm install -g gulp
```
This will install the local development dependencies for Chart.js, along with a CLI for the JavaScript task runner <a href="http://gulpjs.com/" target="_blank">gulp</a>.
Now, we can run the `gulp build` task.
```bash
gulp build
```

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---
title: Notes
anchor: notes
---
### Previous versions
Please note - documentation for previous versions are available on the GitHub repo. Version 1.x may continue to receive updates for bug fixes or high priority items.
- [1.x Documentation](https://github.com/chartjs/Chart.js/tree/v1.1.1/docs)
### Browser support
Chart.js offers support for all browsers where canvas is supported.
Browser support for the canvas element is available in all modern & major mobile browsers <a href="http://caniuse.com/#feat=canvas" target="_blank">(http://caniuse.com/#feat=canvas)</a>.
Thanks to <a href="https://browserstack.com" target="_blank">BrowserStack</a> for allowing our team to test on thousands of browsers.
### Bugs & issues
Please report these on the GitHub page - at <a href="https://github.com/chartjs/Chart.js" target="_blank">github.com/chartjs/Chart.js</a>. If you could include a link to a simple <a href="http://jsbin.com/" target="_blank">jsbin</a> or similar to demonstrate the issue, that'd be really helpful.
### Contributing
New contributions to the library are welcome, just a couple of guidelines:
- Tabs for indentation, not spaces please.
- Please ensure you're changing the individual files in `/src`, not the concatenated output in the `Chart.js` file in the root of the repo.
- Please check that your code will pass `jshint` code standards, `gulp jshint` will run this for you.
- Please keep pull requests concise, and document new functionality in the relevant `.md` file.
- Consider whether your changes are useful for all users, or if creating a Chart.js extension would be more appropriate.
### License
Chart.js is open source and available under the <a href="http://opensource.org/licenses/MIT" target="_blank">MIT license</a>.

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var gulp = require('gulp'),
concat = require('gulp-concat'),
uglify = require('gulp-uglify'),
util = require('gulp-util'),
jshint = require('gulp-jshint'),
size = require('gulp-size'),
connect = require('gulp-connect'),
replace = require('gulp-replace'),
htmlv = require('gulp-html-validator'),
insert = require('gulp-insert'),
inquirer = require('inquirer'),
semver = require('semver'),
exec = require('child_process').exec,
fs = require('fs'),
package = require('./package.json'),
bower = require('./bower.json'),
karma = require('gulp-karma'),
browserify = require('browserify'),
streamify = require('gulp-streamify'),
source = require('vinyl-source-stream'),
merge = require('merge-stream');
var srcDir = './src/';
var outDir = './dist/';
var header = "/*!\n" +
" * Chart.js\n" +
" * http://chartjs.org/\n" +
" * Version: {{ version }}\n" +
" *\n" +
" * Copyright 2016 Nick Downie\n" +
" * Released under the MIT license\n" +
" * https://github.com/chartjs/Chart.js/blob/master/LICENSE.md\n" +
" */\n";
var preTestFiles = [
'./node_modules/moment/min/moment.min.js',
];
var testFiles = [
'./test/mockContext.js',
'./test/*.js',
// Disable tests which need to be rewritten based on changes introduced by
// the following changes: https://github.com/chartjs/Chart.js/pull/2346
'!./test/core.layoutService.tests.js',
'!./test/defaultConfig.tests.js',
];
gulp.task('build', buildTask);
gulp.task('coverage', coverageTask);
gulp.task('watch', watchTask);
gulp.task('bump', bumpTask);
gulp.task('release', ['build'], releaseTask);
gulp.task('jshint', jshintTask);
gulp.task('test', ['jshint', 'validHTML', 'unittest']);
gulp.task('size', ['library-size', 'module-sizes']);
gulp.task('server', serverTask);
gulp.task('validHTML', validHTMLTask);
gulp.task('unittest', unittestTask);
gulp.task('unittestWatch', unittestWatchTask);
gulp.task('library-size', librarySizeTask);
gulp.task('module-sizes', moduleSizesTask);
gulp.task('_open', _openTask);
gulp.task('dev', ['server', 'default']);
gulp.task('default', ['build', 'watch']);
function buildTask() {
var bundled = browserify('./src/chart.js')
.bundle()
.pipe(source('Chart.bundle.js'))
.pipe(insert.prepend(header))
.pipe(streamify(replace('{{ version }}', package.version)))
.pipe(gulp.dest(outDir))
.pipe(streamify(uglify()))
.pipe(insert.prepend(header))
.pipe(streamify(replace('{{ version }}', package.version)))
.pipe(streamify(concat('Chart.bundle.min.js')))
.pipe(gulp.dest(outDir));
var nonBundled = browserify('./src/chart.js')
.ignore('moment')
.bundle()
.pipe(source('Chart.js'))
.pipe(insert.prepend(header))
.pipe(streamify(replace('{{ version }}', package.version)))
.pipe(gulp.dest(outDir))
.pipe(streamify(uglify()))
.pipe(insert.prepend(header))
.pipe(streamify(replace('{{ version }}', package.version)))
.pipe(streamify(concat('Chart.min.js')))
.pipe(gulp.dest(outDir));
return merge(bundled, nonBundled);
}
/*
* Usage : gulp bump
* Prompts: Version increment to bump
* Output: - New version number written into package.json & bower.json
*/
function bumpTask(complete) {
util.log('Current version:', util.colors.cyan(package.version));
var choices = ['major', 'premajor', 'minor', 'preminor', 'patch', 'prepatch', 'prerelease'].map(function(versionType) {
return versionType + ' (v' + semver.inc(package.version, versionType) + ')';
});
inquirer.prompt({
type: 'list',
name: 'version',
message: 'What version update would you like?',
choices: choices
}, function(res) {
var increment = res.version.split(' ')[0],
newVersion = semver.inc(package.version, increment),
oldVersion = package.version;
// Set the new versions into the bower/package object
package.version = newVersion;
bower.version = newVersion;
// Write these to their own files, then build the output
fs.writeFileSync('package.json', JSON.stringify(package, null, 2));
fs.writeFileSync('bower.json', JSON.stringify(bower, null, 2));
var oldCDN = 'https://cdnjs.cloudflare.com/ajax/libs/Chart.js/'+oldVersion+'/Chart.min.js',
newCDN = 'https://cdnjs.cloudflare.com/ajax/libs/Chart.js/'+newVersion+'/Chart.min.js';
gulp.src(['./README.md'])
.pipe(replace(oldCDN, newCDN))
.pipe(gulp.dest('./'));
complete();
});
}
function releaseTask() {
exec('git tag -a v' + package.version);
}
function jshintTask() {
return gulp.src(srcDir + '**/*.js')
.pipe(jshint('config.jshintrc'))
.pipe(jshint.reporter('jshint-stylish'))
.pipe(jshint.reporter('fail'));
}
function validHTMLTask() {
return gulp.src('samples/*.html')
.pipe(htmlv());
}
function startTest() {
var files = ['./src/**/*.js'];
Array.prototype.unshift.apply(files, preTestFiles);
Array.prototype.push.apply(files, testFiles);
return files;
}
function unittestTask() {
return gulp.src(startTest())
.pipe(karma({
configFile: 'karma.conf.ci.js',
action: 'run'
}));
}
function unittestWatchTask() {
return gulp.src(startTest())
.pipe(karma({
configFile: 'karma.conf.js',
action: 'watch'
}));
}
function coverageTask() {
return gulp.src(startTest())
.pipe(karma({
configFile: 'karma.coverage.conf.js',
action: 'run'
}));
}
function librarySizeTask() {
return gulp.src('dist/Chart.bundle.min.js')
.pipe(size({
gzip: true
}));
}
function moduleSizesTask() {
return gulp.src(srcDir + '**/*.js')
.pipe(uglify({
preserveComments: 'some'
}))
.pipe(size({
showFiles: true,
gzip: true
}));
}
function watchTask() {
if (util.env.test) {
return gulp.watch('./src/**', ['build', 'unittest', 'unittestWatch']);
}
return gulp.watch('./src/**', ['build']);
}
function serverTask() {
connect.server({
port: 8000
});
}
// Convenience task for opening the project straight from the command line
function _openTask() {
exec('open http://localhost:8000');
exec('subl .');
}

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module.exports = function(config) {
var configuration = {
browsers: ['Firefox'],
customLaunchers: {
Chrome_travis_ci: {
base: 'Chrome',
flags: ['--no-sandbox']
}
},
frameworks: ['browserify', 'jasmine'],
reporters: ['progress', 'html'],
preprocessors: {
'src/**/*.js': ['browserify']
},
browserify: {
debug: true
}
};
if (process.env.TRAVIS) {
configuration.browsers.push('Chrome_travis_ci');
}
config.set(configuration);
};

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public/vendors/Chart.js/karma.conf.js vendored Normal file
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module.exports = function(config) {
config.set({
browsers: ['Chrome', 'Firefox'],
frameworks: ['browserify', 'jasmine'],
reporters: ['progress', 'html'],
preprocessors: {
'src/**/*.js': ['browserify']
},
browserify: {
debug: true
}
});
};

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module.exports = function(config) {
var configuration = {
browsers: ['Firefox'],
frameworks: ['browserify', 'jasmine'],
preprocessors: {
'src/**/*.js': ['browserify']
},
browserify: {
debug: true,
transform: [['browserify-istanbul', {
instrumenterConfig: {
embed: true
}
}]]
},
reporters: ['progress', 'coverage'],
coverageReporter: {
dir: 'coverage/',
reporters: [
{ type: 'html', subdir: 'report-html' },
{ type: 'lcovonly', subdir: '.', file: 'lcov.info' }
]
}
};
// If on the CI, use the CI chrome launcher
if (process.env.TRAVIS) {
configuration.browsers.push('Chrome_travis_ci');
configuration.customLaunchers = {
Chrome_travis_ci: {
base: 'Chrome',
flags: ['--no-sandbox']
}
};
} else {
configuration.browsers.push('Chrome');
}
config.set(configuration);
};

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{
"name": "chart.js",
"homepage": "http://www.chartjs.org",
"description": "Simple HTML5 charts using the canvas element.",
"version": "2.1.4",
"license": "MIT",
"main": "src/chart.js",
"repository": {
"type": "git",
"url": "https://github.com/chartjs/Chart.js.git"
},
"devDependencies": {
"browserify": "^13.0.0",
"browserify-istanbul": "^0.2.1",
"coveralls": "^2.11.6",
"gulp": "3.9.x",
"gulp-concat": "~2.1.x",
"gulp-connect": "~2.0.5",
"gulp-html-validator": "^0.0.2",
"gulp-insert": "~0.5.0",
"gulp-jshint": "~1.5.1",
"gulp-karma": "0.0.4",
"gulp-replace": "^0.4.0",
"gulp-size": "~0.4.0",
"gulp-streamify": "^1.0.2",
"gulp-uglify": "~0.2.x",
"gulp-umd": "~0.2.0",
"gulp-util": "~2.2.x",
"inquirer": "^0.5.1",
"jasmine": "^2.3.2",
"jasmine-core": "^2.3.4",
"jquery": "^2.1.4",
"jshint-stylish": "~2.1.0",
"karma": "^0.12.37",
"karma-browserify": "^5.0.1",
"karma-chrome-launcher": "^0.2.0",
"karma-coverage": "^0.5.1",
"karma-firefox-launcher": "^0.1.6",
"karma-jasmine": "^0.3.6",
"karma-jasmine-html-reporter": "^0.1.8",
"merge-stream": "^1.0.0",
"semver": "^3.0.1",
"vinyl-source-stream": "^1.1.0",
"watchify": "^3.7.0"
},
"spm": {
"main": "Chart.js"
},
"dependencies": {
"chartjs-color": "^2.0.0",
"moment": "^2.10.6"
}
}

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<!doctype html>
<html>
<head>
<title> Animation Callbacks </title>
<script src="../../dist/Chart.bundle.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<style>
canvas {
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
}
</style>
</head>
<body>
<div style="width: 75%;">
<canvas id="canvas"></canvas>
<progress id="animationProgress" max="1" value="0" style="width: 100%"></progress>
</div>
<br>
<br>
<button id="randomizeData">Randomize Data</button>
<button id="addDataset">Add Dataset</button>
<button id="removeDataset">Remove Dataset</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<script>
var MONTHS = ["January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December"];
var randomScalingFactor = function() {
return Math.round(Math.random() * 100);
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function(opacity) {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
};
var $progress = $('#animationProgress');
var config = {
type: 'line',
data: {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [{
label: "My First dataset ",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
fill: false,
borderDash: [5, 5],
}, {
label: "My Second dataset ",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
}]
},
options: {
title:{
display:true,
text:"Chart.js Line Chart - Animation Progress Bar"
},
animation: {
duration: 2000,
onProgress: function(animation) {
$progress.attr({
value: animation.animationObject.currentStep / animation.animationObject.numSteps,
});
},
onComplete: function(animation) {
window.setTimeout(function() {
$progress.attr({
value: 0
});
}, 2000);
}
},
tooltips: {
mode: 'label',
},
scales: {
xAxes: [{
scaleLabel: {
show: true,
labelString: 'Month'
}
}],
yAxes: [{
scaleLabel: {
show: true,
labelString: 'Value'
},
}]
}
}
};
$.each(config.data.datasets, function(i, dataset) {
dataset.borderColor = randomColor(0.4);
dataset.backgroundColor = randomColor(0.5);
dataset.pointBorderColor = randomColor(0.7);
dataset.pointBackgroundColor = randomColor(0.5);
dataset.pointBorderWidth = 1;
});
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myLine = new Chart(ctx, config);
};
$('#randomizeData').click(function() {
$.each(config.data.datasets, function(i, dataset) {
dataset.data = dataset.data.map(function() {
return randomScalingFactor();
});
});
window.myLine.update();
});
$('#addDataset').click(function() {
var newDataset = {
label: 'Dataset ' + config.data.datasets.length,
borderColor: randomColor(0.4),
backgroundColor: randomColor(0.5),
pointBorderColor: randomColor(0.7),
pointBackgroundColor: randomColor(0.5),
pointBorderWidth: 1,
data: [],
};
for (var index = 0; index < config.data.labels.length; ++index) {
newDataset.data.push(randomScalingFactor());
}
config.data.datasets.push(newDataset);
window.myLine.update();
});
$('#addData').click(function() {
if (config.data.datasets.length > 0) {
var month = MONTHS[config.data.labels.length % MONTHS.length];
config.data.labels.push(month);
$.each(config.data.datasets, function(i, dataset) {
dataset.data.push(randomScalingFactor());
});
window.myLine.update();
}
});
$('#removeDataset').click(function() {
config.data.datasets.splice(0, 1);
window.myLine.update();
});
$('#removeData').click(function() {
config.data.labels.splice(-1, 1); // remove the label first
config.data.datasets.forEach(function(dataset, datasetIndex) {
dataset.data.pop();
});
window.myLine.update();
});
</script>
</body>
</html>

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<!doctype html>
<html>
<head>
<title>Horizontal Bar Chart</title>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<script src="../dist/Chart.bundle.js"></script>
<style>
canvas {
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
}
</style>
</head>
<body>
<div id="container" style="width: 75%;">
<canvas id="canvas"></canvas>
</div>
<button id="randomizeData">Randomize Data</button>
<button id="addDataset">Add Dataset</button>
<button id="removeDataset">Remove Dataset</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<script>
var MONTHS = ["January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December"];
var randomScalingFactor = function() {
return (Math.random() > 0.5 ? 1.0 : -1.0) * Math.round(Math.random() * 100);
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function() {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.7)';
};
var horizontalBarChartData = {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [{
label: 'Dataset 1',
backgroundColor: "rgba(220,220,220,0.5)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}, {
hidden: true,
label: 'Dataset 2',
backgroundColor: "rgba(151,187,205,0.5)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}, {
label: 'Dataset 3',
backgroundColor: "rgba(151,187,205,0.5)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}]
};
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myHorizontalBar = new Chart(ctx, {
type: 'horizontalBar',
data: horizontalBarChartData,
options: {
// Elements options apply to all of the options unless overridden in a dataset
// In this case, we are setting the border of each horizontal bar to be 2px wide and green
elements: {
rectangle: {
borderWidth: 2,
borderColor: 'rgb(0, 255, 0)',
borderSkipped: 'left'
}
},
responsive: true,
legend: {
position: 'top',
},
title: {
display: true,
text: 'Chart.js Horizontal Bar Chart'
}
}
});
};
$('#randomizeData').click(function() {
var zero = Math.random() < 0.2 ? true : false;
$.each(horizontalBarChartData.datasets, function(i, dataset) {
dataset.backgroundColor = randomColor();
dataset.data = dataset.data.map(function() {
return zero ? 0.0 : randomScalingFactor();
});
});
window.myHorizontalBar.update();
});
$('#addDataset').click(function() {
var newDataset = {
label: 'Dataset ' + horizontalBarChartData.datasets.length,
backgroundColor: randomColor(),
data: []
};
for (var index = 0; index < horizontalBarChartData.labels.length; ++index) {
newDataset.data.push(randomScalingFactor());
}
horizontalBarChartData.datasets.push(newDataset);
window.myHorizontalBar.update();
});
$('#addData').click(function() {
if (horizontalBarChartData.datasets.length > 0) {
var month = MONTHS[horizontalBarChartData.labels.length % MONTHS.length];
horizontalBarChartData.labels.push(month);
for (var index = 0; index < horizontalBarChartData.datasets.length; ++index) {
horizontalBarChartData.datasets[index].data.push(randomScalingFactor());
}
window.myHorizontalBar.update();
}
});
$('#removeDataset').click(function() {
horizontalBarChartData.datasets.splice(0, 1);
window.myHorizontalBar.update();
});
$('#removeData').click(function() {
horizontalBarChartData.labels.splice(-1, 1); // remove the label first
horizontalBarChartData.datasets.forEach(function (dataset, datasetIndex) {
dataset.data.pop();
});
window.myHorizontalBar.update();
});
</script>
</body>
</html>

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<!doctype html>
<html>
<head>
<title>Bar Chart Multi Axis</title>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<script src="../dist/Chart.bundle.js"></script>
<style>
canvas {
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
}
</style>
</head>
<body>
<div style="width: 75%">
<canvas id="canvas"></canvas>
</div>
<button id="randomizeData">Randomize Data</button>
<script>
var randomScalingFactor = function() {
return (Math.random() > 0.5 ? 1.0 : -1.0) * Math.round(Math.random() * 100);
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function() {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.7)';
};
var barChartData = {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [{
label: 'Dataset 1',
backgroundColor: "rgba(220,220,220,0.5)",
yAxisID: "y-axis-1",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}, {
label: 'Dataset 2',
backgroundColor: "rgba(151,187,205,0.5)",
yAxisID: "y-axis-2",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}, {
label: 'Dataset 3',
backgroundColor: [randomColor(), randomColor(), randomColor(), randomColor(), randomColor(), randomColor(), randomColor()],
yAxisID: "y-axis-1",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}]
};
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myBar = Chart.Bar(ctx, {
data: barChartData,
options: {
responsive: true,
hoverMode: 'label',
hoverAnimationDuration: 400,
stacked: false,
title:{
display:true,
text:"Chart.js Bar Chart - Multi Axis"
},
scales: {
yAxes: [{
type: "linear", // only linear but allow scale type registration. This allows extensions to exist solely for log scale for instance
display: true,
position: "left",
id: "y-axis-1",
}, {
type: "linear", // only linear but allow scale type registration. This allows extensions to exist solely for log scale for instance
display: true,
position: "right",
id: "y-axis-2",
gridLines: {
drawOnChartArea: false
}
}],
}
}
});
};
$('#randomizeData').click(function() {
$.each(barChartData.datasets, function(i, dataset) {
if (Chart.helpers.isArray(dataset.backgroundColor)) {
dataset.backgroundColor= [randomColor(), randomColor(), randomColor(), randomColor(), randomColor(), randomColor(), randomColor()];
} else {
dataset.backgroundColor= randomColor();
}
dataset.data = [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()];
});
window.myBar.update();
});
</script>
</body>
</html>

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<!doctype html>
<html>
<head>
<title>Stacked Bar Chart</title>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<script src="../dist/Chart.bundle.js"></script>
<style>
canvas {
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
}
</style>
</head>
<body>
<div style="width: 75%">
<canvas id="canvas"></canvas>
</div>
<button id="randomizeData">Randomize Data</button>
<script>
var randomScalingFactor = function() {
return (Math.random() > 0.5 ? 1.0 : -1.0) * Math.round(Math.random() * 100);
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var barChartData = {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [{
label: 'Dataset 1',
backgroundColor: "rgba(220,220,220,0.5)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}, {
label: 'Dataset 2',
backgroundColor: "rgba(151,187,205,0.5)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}, {
label: 'Dataset 3',
backgroundColor: "rgba(151,187,205,0.5)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}]
};
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myBar = new Chart(ctx, {
type: 'bar',
data: barChartData,
options: {
title:{
display:true,
text:"Chart.js Bar Chart - Stacked"
},
tooltips: {
mode: 'label'
},
responsive: true,
scales: {
xAxes: [{
stacked: true,
}],
yAxes: [{
stacked: true
}]
}
}
});
};
$('#randomizeData').click(function() {
$.each(barChartData.datasets, function(i, dataset) {
dataset.backgroundColor = 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.7)';
dataset.data = [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()];
});
window.myBar.update();
});
</script>
</body>
</html>

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<!doctype html>
<html>
<head>
<title>Bar Chart</title>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<script src="../dist/Chart.bundle.js"></script>
<style>
canvas {
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
}
</style>
</head>
<body>
<div id="container" style="width: 75%;">
<canvas id="canvas"></canvas>
</div>
<button id="randomizeData">Randomize Data</button>
<button id="addDataset">Add Dataset</button>
<button id="removeDataset">Remove Dataset</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<script>
var MONTHS = ["January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December"];
var randomScalingFactor = function() {
return (Math.random() > 0.5 ? 1.0 : -1.0) * Math.round(Math.random() * 100);
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function() {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.7)';
};
var barChartData = {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [{
label: 'Dataset 1',
backgroundColor: "rgba(220,220,220,0.5)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}, {
hidden: true,
label: 'Dataset 2',
backgroundColor: "rgba(151,187,205,0.5)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}, {
label: 'Dataset 3',
backgroundColor: "rgba(151,187,205,0.5)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}]
};
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myBar = new Chart(ctx, {
type: 'bar',
data: barChartData,
options: {
// Elements options apply to all of the options unless overridden in a dataset
// In this case, we are setting the border of each bar to be 2px wide and green
elements: {
rectangle: {
borderWidth: 2,
borderColor: 'rgb(0, 255, 0)',
borderSkipped: 'bottom'
}
},
responsive: true,
legend: {
position: 'top',
},
title: {
display: true,
text: 'Chart.js Bar Chart'
}
}
});
};
$('#randomizeData').click(function() {
var zero = Math.random() < 0.2 ? true : false;
$.each(barChartData.datasets, function(i, dataset) {
dataset.backgroundColor = randomColor();
dataset.data = dataset.data.map(function() {
return zero ? 0.0 : randomScalingFactor();
});
});
window.myBar.update();
});
$('#addDataset').click(function() {
var newDataset = {
label: 'Dataset ' + barChartData.datasets.length,
backgroundColor: randomColor(),
data: []
};
for (var index = 0; index < barChartData.labels.length; ++index) {
newDataset.data.push(randomScalingFactor());
}
barChartData.datasets.push(newDataset);
window.myBar.update();
});
$('#addData').click(function() {
if (barChartData.datasets.length > 0) {
var month = MONTHS[barChartData.labels.length % MONTHS.length];
barChartData.labels.push(month);
for (var index = 0; index < barChartData.datasets.length; ++index) {
//window.myBar.addData(randomScalingFactor(), index);
barChartData.datasets[index].data.push(randomScalingFactor());
}
window.myBar.update();
}
});
$('#removeDataset').click(function() {
barChartData.datasets.splice(0, 1);
window.myBar.update();
});
$('#removeData').click(function() {
barChartData.labels.splice(-1, 1); // remove the label first
barChartData.datasets.forEach(function(dataset, datasetIndex) {
dataset.data.pop();
});
window.myBar.update();
});
</script>
</body>
</html>

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<!doctype html>
<html>
<head>
<title>Bubble Chart</title>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<script src="../dist/Chart.bundle.js"></script>
<style type="text/css">
canvas{
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
}
</style>
</head>
<body>
<div id="container" style="width: 75%;">
<canvas id="canvas"></canvas>
</div>
<button id="randomizeData">Randomize Data</button>
<button id="addDataset">Add Dataset</button>
<button id="removeDataset">Remove Dataset</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<script>
var DEFAULT_DATASET_SIZE = 7;
var addedCount = 0;
var randomScalingFactor = function() {
return (Math.random() > 0.5 ? 1.0 : -1.0) * Math.round(Math.random() * 100);
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function() {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.7)';
};
var bubbleChartData = {
animation: {
duration: 10000
},
datasets: [{
label: "My First dataset",
backgroundColor: randomColor(),
data: [{
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
}]
}, {
label: "My Second dataset",
backgroundColor: randomColor(),
data: [{
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
}]
}]
};
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myChart = new Chart(ctx, {
type: 'bubble',
data: bubbleChartData,
options: {
responsive: true,
title:{
display:true,
text:'Chart.js Bubble Chart'
},
}
});
};
$('#randomizeData').click(function() {
var zero = Math.random() < 0.2 ? true : false;
$.each(bubbleChartData.datasets, function(i, dataset) {
dataset.backgroundColor = randomColor();
dataset.data = dataset.data.map(function() {
return {
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
};
});
});
window.myChart.update();
});
$('#addDataset').click(function() {
++addedCount;
var newDataset = {
label: "My added dataset " + addedCount,
backgroundColor: randomColor(),
data: []
};
for (var index = 0; index < DEFAULT_DATASET_SIZE; ++index) {
newDataset.data.push({
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
});
}
bubbleChartData.datasets.push(newDataset);
window.myChart.update();
});
$('#addData').click(function() {
if (bubbleChartData.datasets.length > 0) {
for (var index = 0; index < bubbleChartData.datasets.length; ++index) {
bubbleChartData.datasets[index].data.push({
x: randomScalingFactor(),
y: randomScalingFactor(),
r: Math.abs(randomScalingFactor()) / 5,
});
}
window.myChart.update();
}
});
$('#removeDataset').click(function() {
bubbleChartData.datasets.splice(0, 1);
window.myChart.update();
});
$('#removeData').click(function() {
bubbleChartData.datasets.forEach(function(dataset, datasetIndex) {
dataset.data.pop();
});
window.myChart.update();
});
</script>
</body>
</html>

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<!doctype html>
<html>
<head>
<title>Combo Bar-Line Chart</title>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<script src="../dist/Chart.bundle.js"></script>
<style>
canvas {
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
}
</style>
</head>
<body>
<div style="width: 75%">
<canvas id="canvas"></canvas>
</div>
<button id="randomizeData">Randomize Data</button>
<script>
var randomScalingFactor = function() {
return (Math.random() > 0.5 ? 1.0 : -1.0) * Math.round(Math.random() * 100);
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var barChartData = {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [{
type: 'bar',
label: 'Dataset 1',
backgroundColor: "rgba(151,187,205,0.5)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
borderColor: 'white',
borderWidth: 2
}, {
type: 'line',
label: 'Dataset 2',
backgroundColor: "rgba(151,187,205,0.5)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
borderColor: 'white',
borderWidth: 2
}, {
type: 'bar',
label: 'Dataset 3',
backgroundColor: "rgba(220,220,220,0.5)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}, ]
};
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myBar = new Chart(ctx, {
type: 'bar',
data: barChartData,
options: {
responsive: true,
title: {
display: true,
text: 'Chart.js Combo Bar Line Chart'
}
}
});
};
$('#randomizeData').click(function() {
$.each(barChartData.datasets, function(i, dataset) {
dataset.backgroundColor = 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.7)';
dataset.data = [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()];
});
window.myBar.update();
});
</script>
</body>
</html>

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<!doctype html>
<html>
<head>
<title>Combo Bar-Line Chart</title>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<script src="../dist/Chart.bundle.js"></script>
<style>
canvas {
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
}
</style>
</head>
<body>
<div style="width: 75%">
<canvas id="canvas"></canvas>
</div>
<button id="randomizeData">Randomize Data</button>
<script>
var randomScalingFactor = function() {
return (Math.random() > 0.5 ? 1.0 : -1.0) * Math.round(Math.random() * 100);
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var barChartData = {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [{
type: 'bar',
label: 'Dataset 1',
backgroundColor: "rgba(151,187,205,0.5)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
borderColor: 'white',
borderWidth: 2
}, {
type: 'line',
label: 'Dataset 2',
backgroundColor: "rgba(151,187,205,0.5)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
borderColor: 'white',
borderWidth: 2
}, {
type: 'bar',
label: 'Dataset 3',
backgroundColor: "rgba(220,220,220,0.5)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}, ]
};
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myBar = new Chart(ctx, {
type: 'bar',
data: barChartData,
options: {
responsive: true,
title: {
display: true,
text: 'Chart.js Combo Bar Line Chart'
},
animation: {
onComplete: function () {
var chartInstance = this.chart;
var ctx = chartInstance.ctx;
ctx.textAlign = "center";
Chart.helpers.each(this.data.datasets.forEach(function (dataset, i) {
var meta = chartInstance.controller.getDatasetMeta(i);
Chart.helpers.each(meta.data.forEach(function (bar, index) {
ctx.fillText(dataset.data[index], bar._model.x, bar._model.y - 10);
}),this)
}),this);
}
}
}
});
};
$('#randomizeData').click(function() {
$.each(barChartData.datasets, function(i, dataset) {
dataset.backgroundColor = 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.7)';
dataset.data = [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()];
});
window.myBar.update();
});
</script>
</body>
</html>

154
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<!doctype html>
<html>
<head>
<title>Line Chart</title>
<script src="../dist/Chart.bundle.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<style>
canvas {
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
}
</style>
</head>
<body>
<div style="width:75%;">
<canvas id="canvas"></canvas>
</div>
<br>
<br>
<button id="randomizeData">Randomize Data</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<script>
var MONTHS = ["January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December"];
var randomScalingFactor = function() {
return Math.round(Math.random() * 100 * (Math.random() > 0.5 ? -1 : 1));
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function(opacity) {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
};
var config = {
type: 'line',
data: {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [{
label: "dataset - big points",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
fill: false,
borderDash: [5, 5],
pointRadius: 15,
pointHoverRadius: 10,
}, {
label: "dataset - individual point sizes",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
fill: false,
borderDash: [5, 5],
pointRadius: [2, 4, 6, 18, 0, 12, 20],
}, {
label: "dataset - large pointHoverRadius",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
fill: false,
pointHoverRadius: 30,
}, {
label: "dataset - large pointHitRadius",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
fill: false,
pointHitRadius: 20,
}]
},
options: {
responsive: true,
legend: {
position: 'bottom',
},
hover: {
mode: 'label'
},
scales: {
xAxes: [{
display: true,
scaleLabel: {
display: true,
labelString: 'Month'
}
}],
yAxes: [{
display: true,
scaleLabel: {
display: true,
labelString: 'Value'
}
}]
},
title: {
display: true,
text: 'Chart.js Line Chart - Different point sizes'
}
}
};
$.each(config.data.datasets, function(i, dataset) {
var background = randomColor(0.5);
dataset.borderColor = background;
dataset.backgroundColor = background;
dataset.pointBorderColor = background;
dataset.pointBackgroundColor = background;
dataset.pointBorderWidth = 1;
});
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myLine = new Chart(ctx, config);
};
$('#randomizeData').click(function() {
$.each(config.data.datasets, function(i, dataset) {
dataset.data = dataset.data.map(function() {
return randomScalingFactor();
});
});
window.myLine.update();
});
$('#addData').click(function() {
if (config.data.datasets.length > 0) {
var month = MONTHS[config.data.labels.length % MONTHS.length];
config.data.labels.push(month);
$.each(config.data.datasets, function(i, dataset) {
dataset.data.push(randomScalingFactor());
if (Array.isArray(dataset.pointRadius)) {
dataset.pointRadius.push(Math.random() * 30);
}
});
window.myLine.update();
}
});
$('#removeData').click(function() {
config.data.labels.splice(-1, 1); // remove the label first
config.data.datasets.forEach(function(dataset, datasetIndex) {
dataset.data.pop();
if (Array.isArray(dataset.pointRadius)) {
dataset.pointRadius.pop();
}
});
window.myLine.update();
});
</script>
</body>
</html>

180
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<!doctype html>
<html>
<head>
<title>Doughnut Chart</title>
<script src="../dist/Chart.bundle.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<style>
canvas {
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
}
</style>
</head>
<body>
<div id="canvas-holder" style="width:75%">
<canvas id="chart-area" />
</div>
<button id="randomizeData">Randomize Data</button>
<button id="addDataset">Add Dataset</button>
<button id="removeDataset">Remove Dataset</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<script>
var randomScalingFactor = function() {
return Math.round(Math.random() * 100);
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function(opacity) {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
};
var config = {
type: 'doughnut',
data: {
datasets: [{
data: [
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
],
backgroundColor: [
"#F7464A",
"#46BFBD",
"#FDB45C",
"#949FB1",
"#4D5360",
],
label: 'Dataset 1'
}, {
hidden: true,
data: [
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
],
backgroundColor: [
"#F7464A",
"#46BFBD",
"#FDB45C",
"#949FB1",
"#4D5360",
],
label: 'Dataset 2'
}, {
data: [
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
],
backgroundColor: [
"#F7464A",
"#46BFBD",
"#FDB45C",
"#949FB1",
"#4D5360",
],
label: 'Dataset 3'
}],
labels: [
"Red",
"Green",
"Yellow",
"Grey",
"Dark Grey"
]
},
options: {
responsive: true,
legend: {
position: 'top',
},
title: {
display: true,
text: 'Chart.js Doughnut Chart'
},
animation: {
animateScale: true,
animateRotate: true
}
}
};
window.onload = function() {
var ctx = document.getElementById("chart-area").getContext("2d");
window.myDoughnut = new Chart(ctx, config);
};
$('#randomizeData').click(function() {
$.each(config.data.datasets, function(i, dataset) {
dataset.data = dataset.data.map(function() {
return randomScalingFactor();
});
dataset.backgroundColor = dataset.backgroundColor.map(function() {
return randomColor(0.7);
});
});
window.myDoughnut.update();
});
$('#addDataset').click(function() {
var newDataset = {
backgroundColor: [],
data: [],
label: 'New dataset ' + config.data.datasets.length,
};
for (var index = 0; index < config.data.labels.length; ++index) {
newDataset.data.push(randomScalingFactor());
newDataset.backgroundColor.push(randomColor(0.7));
}
config.data.datasets.push(newDataset);
window.myDoughnut.update();
});
$('#addData').click(function() {
if (config.data.datasets.length > 0) {
config.data.labels.push('data #' + config.data.labels.length);
$.each(config.data.datasets, function(index, dataset) {
dataset.data.push(randomScalingFactor());
dataset.backgroundColor.push(randomColor(0.7));
});
window.myDoughnut.update();
}
});
$('#removeDataset').click(function() {
config.data.datasets.splice(0, 1);
window.myDoughnut.update();
});
$('#removeData').click(function() {
config.data.labels.splice(-1, 1); // remove the label first
config.data.datasets.forEach(function(dataset, datasetIndex) {
dataset.data.pop();
dataset.backgroundColor.pop();
});
window.myDoughnut.update();
});
</script>
</body>
</html>

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<!doctype html>
<html>
<head>
<title>Line Chart with Custom Tooltips</title>
<script src="../dist/Chart.bundle.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<style>
canvas{
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
}
#chartjs-tooltip {
opacity: 1;
position: absolute;
background: rgba(0, 0, 0, .7);
color: white;
border-radius: 3px;
-webkit-transition: all .1s ease;
transition: all .1s ease;
pointer-events: none;
-webkit-transform: translate(-50%, 0);
transform: translate(-50%, 0);
}
.chartjs-tooltip-key {
display: inline-block;
width: 10px;
height: 10px;
}
</style>
</head>
<body>
<div id="canvas-holder1" style="width:75%;">
<canvas id="chart1"/>
</div>
<script>
window.count = 0;
Chart.defaults.global.pointHitDetectionRadius = 1;
var customTooltips = function(tooltip) {
// Tooltip Element
var tooltipEl = $('#chartjs-tooltip');
if (!tooltipEl[0]) {
$('body').append('<div id="chartjs-tooltip"></div>');
tooltipEl = $('#chartjs-tooltip');
}
// Hide if no tooltip
if (!tooltip.opacity) {
tooltipEl.css({
opacity: 0
});
$('.chartjs-wrap canvas')
.each(function(index, el) {
$(el).css('cursor', 'default');
});
return;
}
$(this._chart.canvas).css('cursor', 'pointer');
// Set caret Position
tooltipEl.removeClass('above below no-transform');
if (tooltip.yAlign) {
tooltipEl.addClass(tooltip.yAlign);
} else {
tooltipEl.addClass('no-transform');
}
// Set Text
if (tooltip.body) {
var innerHtml = [
(tooltip.beforeTitle || []).join('\n'), (tooltip.title || []).join('\n'), (tooltip.afterTitle || []).join('\n'), (tooltip.beforeBody || []).join('\n'), (tooltip.body || []).join('\n'), (tooltip.afterBody || []).join('\n'), (tooltip.beforeFooter || [])
.join('\n'), (tooltip.footer || []).join('\n'), (tooltip.afterFooter || []).join('\n')
];
tooltipEl.html(innerHtml.join('\n'));
}
// Find Y Location on page
var top = 0;
if (tooltip.yAlign) {
if (tooltip.yAlign == 'above') {
top = tooltip.y - tooltip.caretHeight - tooltip.caretPadding;
} else {
top = tooltip.y + tooltip.caretHeight + tooltip.caretPadding;
}
}
var position = $(this._chart.canvas)[0].getBoundingClientRect();
// Display, position, and set styles for font
tooltipEl.css({
opacity: 1,
width: tooltip.width ? (tooltip.width + 'px') : 'auto',
left: position.left + tooltip.x + 'px',
top: position.top + top + 'px',
fontFamily: tooltip._fontFamily,
fontSize: tooltip.fontSize,
fontStyle: tooltip._fontStyle,
padding: tooltip.yPadding + 'px ' + tooltip.xPadding + 'px',
});
};
var randomScalingFactor = function() {
return Math.round(Math.random() * 100);
};
var lineChartData = {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [{
label: "My First dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}, {
label: "My Second dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}]
};
window.onload = function() {
var chartEl = document.getElementById("chart1");
window.myLine = new Chart(chartEl, {
type: 'line',
data: lineChartData,
options: {
title:{
display:true,
text:'Chart.js Line Chart - Custom Tooltips'
},
tooltips: {
enabled: false,
custom: customTooltips
}
}
});
};
</script>
</body>
</html>

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<!doctype html>
<html>
<head>
<title>Line Chart</title>
<script src="../dist/Chart.bundle.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<style>
canvas {
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
}
</style>
</head>
<body>
<div style="width:75%;">
<canvas id="canvas"></canvas>
</div>
<br>
<br>
<button id="randomizeData">Randomize Data</button>
<button id="addDataset">Add Dataset</button>
<button id="removeDataset">Remove Dataset</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<script>
var MONTHS = ["January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December"];
var randomScalingFactor = function() {
return Math.round(Math.random() * 100 * (Math.random() > 0.5 ? -1 : 1));
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function(opacity) {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
};
var config = {
type: 'line',
data: {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [{
label: "My First dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
fill: false,
borderDash: [5, 5],
}, {
label: "My Second dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
fill: false,
borderDash: [5, 5],
}, {
label: "My Third dataset - No bezier",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
lineTension: 0,
fill: false,
}, {
label: "My Fourth dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
fill: false,
}]
},
options: {
responsive: true,
legend: {
position: 'bottom',
},
hover: {
mode: 'label'
},
scales: {
xAxes: [{
display: true,
scaleLabel: {
display: true,
labelString: 'Month'
}
}],
yAxes: [{
display: true,
scaleLabel: {
display: true,
labelString: 'Value'
}
}]
},
title: {
display: true,
text: 'Chart.js Line Chart - Legend'
}
}
};
$.each(config.data.datasets, function(i, dataset) {
var background = randomColor(0.5);
dataset.borderColor = background;
dataset.backgroundColor = background;
dataset.pointBorderColor = background;
dataset.pointBackgroundColor = background;
dataset.pointBorderWidth = 1;
});
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myLine = new Chart(ctx, config);
};
$('#randomizeData').click(function() {
$.each(config.data.datasets, function(i, dataset) {
dataset.data = dataset.data.map(function() {
return randomScalingFactor();
});
});
window.myLine.update();
});
$('#addDataset').click(function() {
var background = randomColor(0.5);
var newDataset = {
label: 'Dataset ' + config.data.datasets.length,
borderColor: background,
backgroundColor: background,
pointBorderColor: background,
pointBackgroundColor: background,
pointBorderWidth: 1,
fill: false,
data: [],
};
for (var index = 0; index < config.data.labels.length; ++index) {
newDataset.data.push(randomScalingFactor());
}
config.data.datasets.push(newDataset);
window.myLine.update();
});
$('#addData').click(function() {
if (config.data.datasets.length > 0) {
var month = MONTHS[config.data.labels.length % MONTHS.length];
config.data.labels.push(month);
$.each(config.data.datasets, function(i, dataset) {
dataset.data.push(randomScalingFactor());
});
window.myLine.update();
}
});
$('#removeDataset').click(function() {
config.data.datasets.splice(0, 1);
window.myLine.update();
});
$('#removeData').click(function() {
config.data.labels.splice(-1, 1); // remove the label first
config.data.datasets.forEach(function(dataset, datasetIndex) {
dataset.data.pop();
});
window.myLine.update();
});
</script>
</body>
</html>

152
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<!doctype html>
<html>
<head>
<title>Line Chart</title>
<script src="../dist/Chart.bundle.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<style>
canvas {
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
}
</style>
</head>
<body>
<div style="width:75%;">
<canvas id="canvas"></canvas>
</div>
<button id="randomizeData">Randomize Data</button>
<button id="addDataset">Add Dataset</button>
<button id="removeDataset">Remove Dataset</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<script>
var MONTHS = ["January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December"];
var randomScalingFactor = function() {
return Math.ceil(Math.random() * 10.0) * Math.pow(10, Math.ceil(Math.random() * 5));
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function(opacity) {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
};
var config = {
type: 'line',
data: {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [{
label: "My First dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
fill: false,
borderDash: [5, 5],
}, {
label: "My Second dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
}]
},
options: {
responsive: true,
title:{
display:true,
text:'Chart.js Line Chart - Logarithmic'
},
scales: {
xAxes: [{
display: true,
scaleLabel: {
display: true,
labelString: 'x axis'
}
}],
yAxes: [{
display: true,
type: 'logarithmic',
scaleLabel: {
display: true,
labelString: 'y axis'
}
}]
}
}
};
$.each(config.data.datasets, function(i, dataset) {
dataset.borderColor = randomColor(0.4);
dataset.backgroundColor = randomColor(0.5);
dataset.pointBorderColor = randomColor(0.7);
dataset.pointBackgroundColor = randomColor(0.5);
dataset.pointBorderWidth = 1;
});
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myLine = new Chart(ctx, config);
};
$('#randomizeData').click(function() {
$.each(config.data.datasets, function(i, dataset) {
dataset.data = dataset.data.map(function() {
return randomScalingFactor();
});
});
window.myLine.update();
});
$('#addDataset').click(function() {
var newDataset = {
label: 'Dataset ' + config.data.datasets.length,
borderColor: randomColor(0.4),
backgroundColor: randomColor(0.5),
pointBorderColor: randomColor(0.7),
pointBackgroundColor: randomColor(0.5),
pointBorderWidth: 1,
data: [],
};
for (var index = 0; index < config.data.labels.length; ++index) {
newDataset.data.push(randomScalingFactor());
}
config.data.datasets.push(newDataset);
window.myLine.update();
});
$('#addData').click(function() {
if (config.data.datasets.length > 0) {
var month = MONTHS[config.data.labels.length % MONTHS.length];
config.data.labels.push(month);
for (var index = 0; index < config.data.datasets.length; ++index) {
config.data.datasets[index].data.push(randomScalingFactor());
}
window.myLine.update();
}
});
$('#removeDataset').click(function() {
config.data.datasets.splice(0, 1);
window.myLine.update();
});
$('#removeData').click(function() {
config.data.labels.splice(-1, 1); // remove the label first
config.data.datasets.forEach(function(dataset, datasetIndex) {
dataset.data.pop();
});
window.myLine.update();
});
</script>
</body>
</html>

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<!doctype html>
<html>
<head>
<title>Line Chart Multiple Axes</title>
<script src="../dist/Chart.bundle.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<style>
canvas {
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
}
</style>
</head>
<body>
<div style="width:75%;">
<canvas id="canvas"></canvas>
</div>
<button id="randomizeData">Randomize Data</button>
<script>
var randomScalingFactor = function() {
return Math.round(Math.random() * 100 * (Math.random() > 0.5 ? -1 : 1));
};
var randomColor = function(opacity) {
return 'rgba(' + Math.round(Math.random() * 255) + ',' + Math.round(Math.random() * 255) + ',' + Math.round(Math.random() * 255) + ',' + (opacity || '.3') + ')';
};
var lineChartData = {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [{
label: "My First dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
yAxisID: "y-axis-1",
}, {
label: "My Second dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
yAxisID: "y-axis-2"
}]
};
$.each(lineChartData.datasets, function(i, dataset) {
dataset.borderColor = randomColor(0.4);
dataset.backgroundColor = randomColor(1);
dataset.pointBorderColor = randomColor(0.7);
dataset.pointBackgroundColor = randomColor(0.5);
dataset.pointBorderWidth = 1;
});
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myLine = Chart.Line(ctx, {
data: lineChartData,
options: {
responsive: true,
hoverMode: 'label',
stacked: false,
title:{
display:true,
text:'Chart.js Line Chart - Multi Axis'
},
scales: {
xAxes: [{
display: true,
gridLines: {
offsetGridLines: false
}
}],
yAxes: [{
type: "linear", // only linear but allow scale type registration. This allows extensions to exist solely for log scale for instance
display: true,
position: "left",
id: "y-axis-1",
}, {
type: "linear", // only linear but allow scale type registration. This allows extensions to exist solely for log scale for instance
display: true,
position: "right",
id: "y-axis-2",
// grid line settings
gridLines: {
drawOnChartArea: false, // only want the grid lines for one axis to show up
},
}],
}
}
});
};
$('#randomizeData').click(function() {
lineChartData.datasets[0].data = [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()];
lineChartData.datasets[1].data = [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()];
window.myLine.update();
});
</script>
</body>
</html>

164
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<!doctype html>
<html>
<head>
<title>Line Chart</title>
<script src="../dist/Chart.bundle.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<style>
canvas {
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
}
</style>
</head>
<body>
<div style="width:75%;">
<canvas id="canvas"></canvas>
</div>
<br>
<br>
<button id="randomizeData">Randomize Data</button>
<button id="addDataset">Add Dataset</button>
<button id="removeDataset">Remove Dataset</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<script>
var MONTHS = ["January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December"];
var randomScalingFactor = function() {
return Math.round(Math.random() * 100);
//return 0;
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function(opacity) {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
};
var config = {
type: 'line',
data: {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [{
label: "My First dataset",
// Skip a point in the middle
data: [randomScalingFactor(), randomScalingFactor(), NaN, randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
fill: true,
borderDash: [5, 5],
}, {
label: "My Second dataset",
// Skip first and last points
data: [NaN, randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), NaN],
}]
},
options: {
responsive: true,
title:{
display:true,
text:'Chart.js Line Chart - Skip Points'
},
tooltips: {
mode: 'label',
},
hover: {
mode: 'label'
},
scales: {
xAxes: [{
display: true,
scaleLabel: {
display: true,
labelString: 'Month'
}
}],
yAxes: [{
display: true,
scaleLabel: {
display: true,
labelString: 'Value'
},
}]
}
}
};
$.each(config.data.datasets, function(i, dataset) {
dataset.borderColor = randomColor(0.4);
dataset.backgroundColor = randomColor(0.5);
dataset.pointBorderColor = randomColor(0.7);
dataset.pointBackgroundColor = randomColor(0.5);
dataset.pointBorderWidth = 1;
});
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myLine = new Chart(ctx, config);
};
$('#randomizeData').click(function() {
$.each(config.data.datasets, function(i, dataset) {
dataset.data = dataset.data.map(function() {
return randomScalingFactor();
});
});
window.myLine.update();
});
$('#addDataset').click(function() {
var newDataset = {
label: 'Dataset ' + config.data.datasets.length,
borderColor: randomColor(0.4),
backgroundColor: randomColor(0.5),
pointBorderColor: randomColor(0.7),
pointBackgroundColor: randomColor(0.5),
pointBorderWidth: 1,
data: [],
};
for (var index = 0; index < config.data.labels.length; ++index) {
newDataset.data.push(randomScalingFactor());
}
config.data.datasets.push(newDataset);
window.myLine.update();
});
$('#addData').click(function() {
if (config.data.datasets.length > 0) {
var month = MONTHS[config.data.labels.length % MONTHS.length];
config.data.labels.push(month);
$.each(config.data.datasets, function(i, dataset) {
dataset.data.push(randomScalingFactor());
});
window.myLine.update();
}
});
$('#removeDataset').click(function() {
config.data.datasets.splice(0, 1);
window.myLine.update();
});
$('#removeData').click(function() {
config.data.labels.splice(-1, 1); // remove the label first
config.data.datasets.forEach(function(dataset, datasetIndex) {
dataset.data.pop();
});
window.myLine.update();
});
</script>
</body>
</html>

163
public/vendors/Chart.js/samples/line-stacked-area.html vendored Normal file
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<!doctype html>
<html>
<head>
<title>Line Chart</title>
<script src="../dist/Chart.bundle.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<style>
canvas {
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
}
</style>
</head>
<body>
<div style="width:75%;">
<canvas id="canvas"></canvas>
</div>
<br>
<br>
<button id="randomizeData">Randomize Data</button>
<button id="addDataset">Add Dataset</button>
<button id="removeDataset">Remove Dataset</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<script>
var MONTHS = ["January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December"];
var randomScalingFactor = function() {
return Math.round(Math.random() * 100 * (Math.random() > 0.5 ? -1 : 1));
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function(opacity) {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '1') + ')';
};
var config = {
type: 'line',
data: {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [{
label: "My First dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
}, {
label: "My Second dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
}, {
label: "My Third dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
}, {
label: "My Third dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
}]
},
options: {
responsive: true,
title:{
display:true,
text:"Chart.js Line Chart - Stacked Area"
},
tooltips: {
mode: 'label',
},
hover: {
mode: 'label'
},
scales: {
xAxes: [{
scaleLabel: {
display: true,
labelString: 'Month'
}
}],
yAxes: [{
stacked: true,
scaleLabel: {
display: true,
labelString: 'Value'
}
}]
}
}
};
$.each(config.data.datasets, function(i, dataset) {
var color = randomColor(1);
dataset.borderColor = color;
dataset.backgroundColor = color;
dataset.pointBorderColor = color;
dataset.pointBackgroundColor = color;
dataset.pointBorderWidth = 1;
});
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myLine = new Chart(ctx, config);
};
$('#randomizeData').click(function() {
$.each(config.data.datasets, function(i, dataset) {
dataset.data = dataset.data.map(function() {
return randomScalingFactor();
});
});
window.myLine.update();
});
$('#addDataset').click(function() {
var newDataset = {
label: 'Dataset ' + config.data.datasets.length,
borderColor: randomColor(0.4),
backgroundColor: randomColor(0.5),
pointBorderColor: randomColor(0.7),
pointBackgroundColor: randomColor(0.5),
pointBorderWidth: 1,
data: [],
};
for (var index = 0; index < config.data.labels.length; ++index) {
newDataset.data.push(randomScalingFactor());
}
config.data.datasets.push(newDataset);
window.myLine.update();
});
$('#addData').click(function() {
if (config.data.datasets.length > 0) {
var month = MONTHS[config.data.labels.length % MONTHS.length];
config.data.labels.push(month);
$.each(config.data.datasets, function(i, dataset) {
dataset.data.push(randomScalingFactor());
});
window.myLine.update();
}
});
$('#removeDataset').click(function() {
config.data.datasets.splice(0, 1);
window.myLine.update();
});
$('#removeData').click(function() {
config.data.labels.splice(-1, 1); // remove the label first
config.data.datasets.forEach(function(dataset, datasetIndex) {
dataset.data.pop();
});
window.myLine.update();
});
</script>
</body>
</html>

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<!doctype html>
<html>
<head>
<title>Chart with xAxis Filtering</title>
<script src="../dist/Chart.bundle.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<style>
canvas {
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
}
</style>
</head>
<body>
<div style="width:75%;">
<canvas id="canvas"></canvas>
</div>
<br>
<br>
<button id="randomizeData">Randomize Data</button>
<button id="addDataset">Add Dataset</button>
<button id="removeDataset">Remove Dataset</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<script>
var MONTHS = ["January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December"];
var randomScalingFactor = function() {
return Math.round(Math.random() * 50 * (Math.random() > 0.5 ? 1 : 1)) + 50;
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function(opacity) {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
};
var config = {
type: 'line',
data: {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [{
label: "My First dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
fill: false,
borderDash: [5, 5],
}, {
label: "My Second dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
}]
},
options: {
responsive: true,
title:{
display:true,
text:"Chart.js Line Chart - X-Axis Filter"
},
scales: {
xAxes: [{
display: true,
ticks: {
userCallback: function(dataLabel, index) {
return index % 2 === 0 ? dataLabel : '';
}
}
}],
yAxes: [{
display: true,
beginAtZero: false
}]
}
}
};
$.each(config.data.datasets, function(i, dataset) {
dataset.borderColor = randomColor(0.4);
dataset.backgroundColor = randomColor(0.5);
dataset.pointBorderColor = randomColor(0.7);
dataset.pointBackgroundColor = randomColor(0.5);
dataset.pointBorderWidth = 1;
});
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myLine = new Chart(ctx, config);
};
$('#randomizeData').click(function() {
$.each(config.data.datasets, function(i, dataset) {
dataset.data = dataset.data.map(function() {
return randomScalingFactor();
});
});
window.myLine.update();
});
$('#addDataset').click(function() {
var newDataset = {
label: 'Dataset ' + config.data.datasets.length,
borderColor: randomColor(0.4),
backgroundColor: randomColor(0.5),
pointBorderColor: randomColor(0.7),
pointBackgroundColor: randomColor(0.5),
pointBorderWidth: 1,
data: [],
};
for (var index = 0; index < config.data.labels.length; ++index) {
newDataset.data.push(randomScalingFactor());
}
config.data.datasets.push(newDataset);
window.myLine.update();
});
$('#addData').click(function() {
if (config.data.datasets.length > 0) {
var month = MONTHS[config.data.labels.length % MONTHS.length];
config.data.labels.push(month);
for (var index = 0; index < config.data.datasets.length; ++index) {
config.data.datasets[index].data.push(randomScalingFactor());
}
window.myLine.update();
}
});
$('#removeDataset').click(function() {
config.data.datasets.splice(0, 1);
window.myLine.update();
});
$('#removeData').click(function() {
config.data.labels.splice(-1, 1); // remove the label first
config.data.datasets.forEach(function(dataset, datasetIndex) {
dataset.data.pop();
});
window.myLine.update();
});
</script>
</body>
</html>

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<!doctype html>
<html>
<head>
<title>Line Chart</title>
<script src="../dist/Chart.bundle.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<style>
canvas{
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
}
</style>
</head>
<body>
<div style="width:75%;">
<canvas id="canvas"></canvas>
</div>
<br>
<br>
<button id="randomizeData">Randomize Data</button>
<button id="changeDataObject">Change Data Object</button>
<button id="addDataset">Add Dataset</button>
<button id="removeDataset">Remove Dataset</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<script>
var MONTHS = ["January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December"];
var randomScalingFactor = function() {
return Math.round(Math.random() * 100);
//return 0;
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function(opacity) {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
};
var config = {
type: 'line',
data: {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [{
label: "My First dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
fill: false,
borderDash: [5, 5],
}, {
hidden: true,
label: 'hidden dataset',
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
}, {
label: "My Second dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
}]
},
options: {
responsive: true,
title:{
display:true,
text:'Chart.js Line Chart'
},
tooltips: {
mode: 'label',
callbacks: {
// beforeTitle: function() {
// return '...beforeTitle';
// },
// afterTitle: function() {
// return '...afterTitle';
// },
// beforeBody: function() {
// return '...beforeBody';
// },
// afterBody: function() {
// return '...afterBody';
// },
// beforeFooter: function() {
// return '...beforeFooter';
// },
// footer: function() {
// return 'Footer';
// },
// afterFooter: function() {
// return '...afterFooter';
// },
}
},
hover: {
mode: 'dataset'
},
scales: {
xAxes: [{
display: true,
scaleLabel: {
show: true,
labelString: 'Month'
}
}],
yAxes: [{
display: true,
scaleLabel: {
show: true,
labelString: 'Value'
},
ticks: {
suggestedMin: -10,
suggestedMax: 250,
}
}]
}
}
};
$.each(config.data.datasets, function(i, dataset) {
dataset.borderColor = randomColor(0.4);
dataset.backgroundColor = randomColor(0.5);
dataset.pointBorderColor = randomColor(0.7);
dataset.pointBackgroundColor = randomColor(0.5);
dataset.pointBorderWidth = 1;
});
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myLine = new Chart(ctx, config);
};
$('#randomizeData').click(function() {
$.each(config.data.datasets, function(i, dataset) {
dataset.data = dataset.data.map(function() {
return randomScalingFactor();
});
});
window.myLine.update();
});
$('#changeDataObject').click(function() {
config.data = {
labels: ["July", "August", "September", "October", "November", "December"],
datasets: [{
label: "My First dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
fill: false,
}, {
label: "My Second dataset",
fill: false,
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
}]
};
$.each(config.data.datasets, function(i, dataset) {
dataset.borderColor = randomColor(0.4);
dataset.backgroundColor = randomColor(0.5);
dataset.pointBorderColor = randomColor(0.7);
dataset.pointBackgroundColor = randomColor(0.5);
dataset.pointBorderWidth = 1;
});
// Update the chart
window.myLine.update();
});
$('#addDataset').click(function() {
var newDataset = {
label: 'Dataset ' + config.data.datasets.length,
borderColor: randomColor(0.4),
backgroundColor: randomColor(0.5),
pointBorderColor: randomColor(0.7),
pointBackgroundColor: randomColor(0.5),
pointBorderWidth: 1,
data: [],
};
for (var index = 0; index < config.data.labels.length; ++index) {
newDataset.data.push(randomScalingFactor());
}
config.data.datasets.push(newDataset);
window.myLine.update();
});
$('#addData').click(function() {
if (config.data.datasets.length > 0) {
var month = MONTHS[config.data.labels.length % MONTHS.length];
config.data.labels.push(month);
$.each(config.data.datasets, function(i, dataset) {
dataset.data.push(randomScalingFactor());
});
window.myLine.update();
}
});
$('#removeDataset').click(function() {
config.data.datasets.splice(0, 1);
window.myLine.update();
});
$('#removeData').click(function() {
config.data.labels.splice(-1, 1); // remove the label first
config.data.datasets.forEach(function(dataset, datasetIndex) {
dataset.data.pop();
});
window.myLine.update();
});
</script>
</body>
</html>

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<!doctype html>
<html>
<head>
<title>Pie Chart with Custom Tooltips</title>
<script src="../dist/Chart.bundle.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<style>
#canvas-holder {
width: 100%;
margin-top: 50px;
text-align: center;
}
#chartjs-tooltip {
opacity: 1;
position: absolute;
background: rgba(0, 0, 0, .7);
color: white;
padding: 3px;
border-radius: 3px;
-webkit-transition: all .1s ease;
transition: all .1s ease;
pointer-events: none;
-webkit-transform: translate(-50%, 0);
transform: translate(-50%, 0);
}
#chartjs-tooltip.below {
-webkit-transform: translate(-50%, 0);
transform: translate(-50%, 0);
}
#chartjs-tooltip.below:before {
border: solid;
border-color: #111 transparent;
border-color: rgba(0, 0, 0, .8) transparent;
border-width: 0 8px 8px 8px;
bottom: 1em;
content: "";
display: block;
left: 50%;
position: absolute;
z-index: 99;
-webkit-transform: translate(-50%, -100%);
transform: translate(-50%, -100%);
}
#chartjs-tooltip.above {
-webkit-transform: translate(-50%, -100%);
transform: translate(-50%, -100%);
}
#chartjs-tooltip.above:before {
border: solid;
border-color: #111 transparent;
border-color: rgba(0, 0, 0, .8) transparent;
border-width: 8px 8px 0 8px;
bottom: 1em;
content: "";
display: block;
left: 50%;
top: 100%;
position: absolute;
z-index: 99;
-webkit-transform: translate(-50%, 0);
transform: translate(-50%, 0);
}
</style>
</head>
<body>
<div id="canvas-holder">
<canvas id="chart-area1" width="50" height="50" />
</div>
<div id="canvas-holder">
<canvas id="chart-area2" width="300" height="300" />
</div>
<div id="chartjs-tooltip"></div>
<script>
Chart.defaults.global.customTooltips = function(tooltip) {
// Tooltip Element
var tooltipEl = $('#chartjs-tooltip');
// Hide if no tooltip
if (!tooltip) {
tooltipEl.css({
opacity: 0
});
return;
}
// Set caret Position
tooltipEl.removeClass('above below');
tooltipEl.addClass(tooltip.yAlign);
// Set Text
tooltipEl.html(tooltip.text);
// Find Y Location on page
var top;
if (tooltip.yAlign == 'above') {
top = tooltip.y - tooltip.caretHeight - tooltip.caretPadding;
} else {
top = tooltip.y + tooltip.caretHeight + tooltip.caretPadding;
}
//Function to find absolution position of the element and not just it's relative position
function getPosition (element) {
var top = 0, left = 0;
do {
top += element.offsetTop || 0;
left += element.offsetLeft || 0;
element = element.offsetParent;
} while (element);
return {
top: top,
left: left
};
};
//Finding absolute position of the chart canvas
var position = getPosition(tooltip.chart.canvas)
// Display, position, and set styles for font
tooltipEl.css({
opacity: 1,
left: position.left + tooltip.x + 'px',
top: position.top + top + 'px',
fontFamily: tooltip.fontFamily,
fontSize: tooltip.fontSize,
fontStyle: tooltip.fontStyle,
});
};
var pieData = [{
value: 300,
color: "#F7464A",
highlight: "#FF5A5E",
label: "Red"
}, {
value: 50,
color: "#46BFBD",
highlight: "#5AD3D1",
label: "Green"
}, {
value: 100,
color: "#FDB45C",
highlight: "#FFC870",
label: "Yellow"
}, {
value: 40,
color: "#949FB1",
highlight: "#A8B3C5",
label: "Grey"
}, {
value: 120,
color: "#4D5360",
highlight: "#616774",
label: "Dark Grey"
}];
window.onload = function() {
var ctx1 = document.getElementById("chart-area1").getContext("2d");
window.myPie = new Chart(ctx1).Pie(pieData);
var ctx2 = document.getElementById("chart-area2").getContext("2d");
window.myPie = new Chart(ctx2).Pie(pieData);
};
</script>
</body>
</html>

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<!doctype html>
<html>
<head>
<title>Pie Chart</title>
<script src="../dist/Chart.bundle.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
</head>
<body>
<div id="canvas-holder" style="width:50%">
<canvas id="chart-area" width="300" height="300" />
</div>
<button id="randomizeData">Randomize Data</button>
<button id="addDataset">Add Dataset</button>
<button id="removeDataset">Remove Dataset</button>
<script>
var randomScalingFactor = function() {
return Math.round(Math.random() * 100);
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function(opacity) {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
};
var config = {
type: 'pie',
data: {
datasets: [{
data: [
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
],
backgroundColor: [
"#F7464A",
"#46BFBD",
"#FDB45C",
"#949FB1",
"#4D5360",
],
}, {
data: [
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
],
backgroundColor: [
"#F7464A",
"#46BFBD",
"#FDB45C",
"#949FB1",
"#4D5360",
],
}, {
data: [
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
],
backgroundColor: [
"#F7464A",
"#46BFBD",
"#FDB45C",
"#949FB1",
"#4D5360",
],
}],
labels: [
"Red",
"Green",
"Yellow",
"Grey",
"Dark Grey"
]
},
options: {
responsive: true
}
};
window.onload = function() {
var ctx = document.getElementById("chart-area").getContext("2d");
window.myPie = new Chart(ctx, config);
};
$('#randomizeData').click(function() {
$.each(config.data.datasets, function(i, piece) {
$.each(piece.data, function(j, value) {
config.data.datasets[i].data[j] = randomScalingFactor();
config.data.datasets[i].backgroundColor[j] = randomColor(0.7);
});
});
window.myPie.update();
});
$('#addDataset').click(function() {
var newDataset = {
backgroundColor: [randomColor(0.7), randomColor(0.7), randomColor(0.7), randomColor(0.7), randomColor(0.7)],
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
};
config.data.datasets.push(newDataset);
window.myPie.update();
});
$('#removeDataset').click(function() {
config.data.datasets.splice(0, 1);
window.myPie.update();
});
</script>
</body>
</html>

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<!doctype html>
<html>
<head>
<title>Polar Area Chart</title>
<script src="../dist/Chart.bundle.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<style>
canvas {
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
}
</style>
</head>
<body>
<div id="canvas-holder" style="width:75%">
<canvas id="chart-area"></canvas>
</div>
<button id="randomizeData">Randomize Data</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<script>
var randomScalingFactor = function() {
return Math.round(Math.random() * 100);
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function(opacity) {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
};
var config = {
data: {
datasets: [{
data: [
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
randomScalingFactor(),
],
backgroundColor: [
"#F7464A",
"#46BFBD",
"#FDB45C",
"#949FB1",
"#4D5360",
],
label: 'My dataset' // for legend
}],
labels: [
"Red",
"Green",
"Yellow",
"Grey",
"Dark Grey"
]
},
options: {
responsive: true,
legend: {
position: 'top',
},
title: {
display: true,
text: 'Chart.js Polar Area Chart'
},
scale: {
ticks: {
beginAtZero: true
},
reverse: false
},
animation: {
animateRotate: false
}
}
};
window.onload = function() {
var ctx = document.getElementById("chart-area");
window.myPolarArea = Chart.PolarArea(ctx, config);
};
$('#randomizeData').click(function() {
$.each(config.data.datasets, function(i, piece) {
$.each(piece.data, function(j, value) {
config.data.datasets[i].data[j] = randomScalingFactor();
config.data.datasets[i].backgroundColor[j] = randomColor();
});
});
window.myPolarArea.update();
});
$('#addData').click(function() {
if (config.data.datasets.length > 0) {
config.data.labels.push('dataset #' + config.data.labels.length);
$.each(config.data.datasets, function(i, dataset) {
dataset.backgroundColor.push(randomColor());
dataset.data.push(randomScalingFactor());
});
window.myPolarArea.update();
}
});
$('#removeData').click(function() {
config.data.labels.pop(); // remove the label first
$.each(config.data.datasets, function(i, dataset) {
dataset.backgroundColor.pop();
dataset.data.pop();
});
window.myPolarArea.update();
});
</script>
</body>
</html>

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<!doctype html>
<html>
<head>
<title>Radar Chart</title>
<script src="../dist/Chart.bundle.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<style>
canvas {
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
}
</style>
</head>
<body>
<div style="width:75%">
<canvas id="canvas"></canvas>
</div>
<button id="randomizeData">Randomize Data</button>
<button id="addDataset">Add Dataset</button>
<button id="removeDataset">Remove Dataset</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<script>
var randomScalingFactor = function() {
return Math.round(Math.random() * 100);
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function(opacity) {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
};
var config = {
type: 'radar',
data: {
labels: ["Eating", "Drinking", "Sleeping", "Designing", "Coding", "Cycling", "Running"],
datasets: [{
label: "Skip first dataset",
borderColor: 'rgb(255, 0, 0)',
backgroundColor: "rgba(255,255,0,0.5)",
pointBackgroundColor: "rgba(220,220,220,1)",
data: [NaN, randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}, {
label: "Skip mid dataset",
borderColor: 'rgb(255, 0, 255)',
backgroundColor: "rgba(0, 255, 0, 0.5)",
pointBackgroundColor: "rgba(151,187,205,1)",
hoverPointBackgroundColor: "#fff",
pointHighlightStroke: "rgba(151,187,205,1)",
data: [randomScalingFactor(), randomScalingFactor(), NaN, randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
},{
label: "Skip last dataset",
borderColor: 'rgb(0, 255, 255)',
backgroundColor: "rgba(0, 0, 255, 0.5)",
pointBackgroundColor: "rgba(151,187,205,1)",
hoverPointBackgroundColor: "#fff",
pointHighlightStroke: "rgba(151,187,205,1)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), NaN]
}]
},
options: {
title:{
display:true,
text:"Chart.js Radar Chart - Skip Points"
},
elements: {
line: {
tension: 0.0,
}
},
scale: {
beginAtZero: true,
reverse: false
}
}
};
window.onload = function() {
window.myRadar = new Chart(document.getElementById("canvas"), config);
};
$('#randomizeData').click(function() {
$.each(config.data.datasets, function(i, dataset) {
dataset.data = dataset.data.map(function() {
return randomScalingFactor();
});
});
window.myRadar.update();
});
$('#addDataset').click(function() {
var newDataset = {
label: 'Dataset ' + config.data.datasets.length,
borderColor: randomColor(0.4),
backgroundColor: randomColor(0.5),
pointBorderColor: randomColor(0.7),
pointBackgroundColor: randomColor(0.5),
pointBorderWidth: 1,
data: [],
};
for (var index = 0; index < config.data.labels.length; ++index) {
newDataset.data.push(randomScalingFactor());
}
config.data.datasets.push(newDataset);
window.myRadar.update();
});
$('#addData').click(function() {
if (config.data.datasets.length > 0) {
config.data.labels.push('dataset #' + config.data.labels.length);
$.each(config.data.datasets, function (i, dataset) {
dataset.data.push(randomScalingFactor());
});
window.myRadar.update();
}
});
$('#removeDataset').click(function() {
config.data.datasets.splice(0, 1);
window.myRadar.update();
});
$('#removeData').click(function() {
config.data.labels.pop(); // remove the label first
$.each(config.data.datasets, function(i, dataset) {
dataset.data.pop();
});
window.myRadar.update();
});
</script>
</body>
</html>

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<!doctype html>
<html>
<head>
<title>Radar Chart</title>
<script src="../dist/Chart.bundle.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<style>
canvas {
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
}
</style>
</head>
<body>
<div style="width:75%">
<canvas id="canvas"></canvas>
</div>
<button id="randomizeData">Randomize Data</button>
<button id="addDataset">Add Dataset</button>
<button id="removeDataset">Remove Dataset</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<script>
var randomScalingFactor = function() {
return Math.round(Math.random() * 100);
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function(opacity) {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
};
var config = {
type: 'radar',
data: {
labels: ["Eating", "Drinking", "Sleeping", "Designing", "Coding", "Cycling", "Running"],
datasets: [{
label: "My First dataset",
backgroundColor: "rgba(220,220,220,0.2)",
pointBackgroundColor: "rgba(220,220,220,1)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}, {
label: 'Hidden dataset',
hidden: true,
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
}, {
label: "My Second dataset",
backgroundColor: "rgba(151,187,205,0.2)",
pointBackgroundColor: "rgba(151,187,205,1)",
hoverPointBackgroundColor: "#fff",
pointHighlightStroke: "rgba(151,187,205,1)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
},]
},
options: {
legend: {
position: 'top',
},
title: {
display: true,
text: 'Chart.js Radar Chart'
},
scale: {
reverse: false,
ticks: {
beginAtZero: true
}
}
}
};
window.onload = function() {
window.myRadar = new Chart(document.getElementById("canvas"), config);
};
$('#randomizeData').click(function() {
$.each(config.data.datasets, function(i, dataset) {
dataset.data = dataset.data.map(function() {
return randomScalingFactor();
});
});
window.myRadar.update();
});
$('#addDataset').click(function() {
var newDataset = {
label: 'Dataset ' + config.data.datasets.length,
borderColor: randomColor(0.4),
backgroundColor: randomColor(0.5),
pointBorderColor: randomColor(0.7),
pointBackgroundColor: randomColor(0.5),
pointBorderWidth: 1,
data: [],
};
for (var index = 0; index < config.data.labels.length; ++index) {
newDataset.data.push(randomScalingFactor());
}
config.data.datasets.push(newDataset);
window.myRadar.update();
});
$('#addData').click(function() {
if (config.data.datasets.length > 0) {
config.data.labels.push('dataset #' + config.data.labels.length);
$.each(config.data.datasets, function (i, dataset) {
dataset.data.push(randomScalingFactor());
});
window.myRadar.update();
}
});
$('#removeDataset').click(function() {
config.data.datasets.splice(0, 1);
window.myRadar.update();
});
$('#removeData').click(function() {
config.data.labels.pop(); // remove the label first
$.each(config.data.datasets, function(i, dataset) {
dataset.data.pop();
});
window.myRadar.update();
});
</script>
</body>
</html>

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<!doctype html>
<html>
<head>
<title>Scatter Chart</title>
<script src="../dist/Chart.bundle.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<style>
canvas {
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
}
</style>
</head>
<body>
<div style="width:75%">
<div>
<canvas id="canvas"></canvas>
</div>
</div>
<script>
var randomScalingFactor = function() {
return Math.round(Math.random() * 10.0) * Math.pow(10, Math.ceil(Math.random() * 5));
};
var randomColor = function(opacity) {
return 'rgba(' + Math.round(Math.random() * 255) + ',' + Math.round(Math.random() * 255) + ',' + Math.round(Math.random() * 255) + ',' + (opacity || '.3') + ')';
};
var scatterChartData = {
datasets: [{
label: "V(node2)",
data: [{
x: 1,
y: -1.711e-2,
}, {
x: 1.26,
y: -2.708e-2,
}, {
x: 1.58,
y: -4.285e-2,
}, {
x: 2.0,
y: -6.772e-2,
}, {
x: 2.51,
y: -1.068e-1,
}, {
x: 3.16,
y: -1.681e-1,
}, {
x: 3.98,
y: -2.635e-1,
}, {
x: 5.01,
y: -4.106e-1,
}, {
x: 6.31,
y: -6.339e-1,
}, {
x: 7.94,
y: -9.659e-1,
}, {
x: 10.00,
y: -1.445,
}, {
x: 12.6,
y: -2.110,
}, {
x: 15.8,
y: -2.992,
}, {
x: 20.0,
y: -4.102,
}, {
x: 25.1,
y: -5.429,
}, {
x: 31.6,
y: -6.944,
}, {
x: 39.8,
y: -8.607,
}, {
x: 50.1,
y: -1.038e1,
}, {
x: 63.1,
y: -1.223e1,
}, {
x: 79.4,
y: -1.413e1,
}, {
x: 100.00,
y: -1.607e1,
}, {
x: 126,
y: -1.803e1,
}, {
x: 158,
y: -2e1,
}, {
x: 200,
y: -2.199e1,
}, {
x: 251,
y: -2.398e1,
}, {
x: 316,
y: -2.597e1,
}, {
x: 398,
y: -2.797e1,
}, {
x: 501,
y: -2.996e1,
}, {
x: 631,
y: -3.196e1,
}, {
x: 794,
y: -3.396e1,
}, {
x: 1000,
y: -3.596e1,
},]
}]
};
$.each(scatterChartData.datasets, function(i, dataset) {
dataset.borderColor = randomColor(0.4);
dataset.backgroundColor = randomColor(0.1);
dataset.pointBorderColor = randomColor(0.7);
dataset.pointBackgroundColor = randomColor(0.5);
dataset.pointBorderWidth = 1;
});
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myScatter = Chart.Scatter(ctx, {
data: scatterChartData,
options: {
title: {
display: true,
text: 'Chart.js Scatter Chart - Logarithmic X-Axis'
},
scales: {
xAxes: [{
type: 'logarithmic',
position: 'bottom',
ticks: {
userCallback: function(tick) {
var remain = tick / (Math.pow(10, Math.floor(Chart.helpers.log10(tick))));
if (remain === 1 || remain === 2 || remain === 5) {
return tick.toString() + "Hz";
}
return '';
},
},
scaleLabel: {
labelString: 'Frequency',
display: true,
}
}],
yAxes: [{
type: 'linear',
ticks: {
userCallback: function(tick) {
return tick.toString() + "dB";
}
},
scaleLabel: {
labelString: 'Voltage',
display: true
}
}]
}
}
});
};
</script>
</body>
</html>

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<!doctype html>
<html>
<head>
<title>Scatter Chart Multi Axis</title>
<script src="../dist/Chart.bundle.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<style>
canvas {
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
}
</style>
</head>
<body>
<div style="width:75%">
<div>
<canvas id="canvas"></canvas>
</div>
</div>
<button id="randomizeData">Randomize Data</button>
<script>
var randomScalingFactor = function() {
return (Math.random() > 0.5 ? 1.0 : -1.0) * Math.round(Math.random() * 100);
};
var randomColor = function(opacity) {
return 'rgba(' + Math.round(Math.random() * 255) + ',' + Math.round(Math.random() * 255) + ',' + Math.round(Math.random() * 255) + ',' + (opacity || '.3') + ')';
};
var scatterChartData = {
datasets: [{
label: "My First dataset",
xAxisID: "x-axis-1",
yAxisID: "y-axis-1",
data: [{
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}]
}, {
label: "My Second dataset",
xAxisID: "x-axis-1",
yAxisID: "y-axis-2",
data: [{
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}]
}]
};
$.each(scatterChartData.datasets, function(i, dataset) {
dataset.borderColor = randomColor(0.4);
dataset.backgroundColor = randomColor(0.1);
dataset.pointBorderColor = randomColor(0.7);
dataset.pointBackgroundColor = randomColor(0.5);
dataset.pointBorderWidth = 1;
});
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myScatter = Chart.Scatter(ctx, {
data: scatterChartData,
options: {
responsive: true,
hoverMode: 'single',
title: {
display: true,
text: 'Chart.js Scatter Chart - Multi Axis'
},
scales: {
xAxes: [{
position: "bottom",
gridLines: {
zeroLineColor: "rgba(0,0,0,1)"
}
}],
yAxes: [{
type: "linear", // only linear but allow scale type registration. This allows extensions to exist solely for log scale for instance
display: true,
position: "left",
id: "y-axis-1",
}, {
type: "linear", // only linear but allow scale type registration. This allows extensions to exist solely for log scale for instance
display: true,
position: "right",
reverse: true,
id: "y-axis-2",
// grid line settings
gridLines: {
drawOnChartArea: false, // only want the grid lines for one axis to show up
},
}],
}
}
});
};
$('#randomizeData').click(function() {
scatterChartData.datasets[0].data = [{
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}];
scatterChartData.datasets[1].data = [{
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}];
window.myScatter.update();
});
</script>
</body>
</html>

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<!doctype html>
<html>
<head>
<title>Scatter Chart</title>
<script src="../dist/Chart.bundle.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<style>
canvas {
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
}
</style>
</head>
<body>
<div style="width:75%">
<div>
<canvas id="canvas"></canvas>
</div>
</div>
<button id="randomizeData">Randomize Data</button>
<script>
var randomScalingFactor = function() {
return (Math.random() > 0.5 ? 1.0 : -1.0) * Math.round(Math.random() * 100);
};
var randomColor = function(opacity) {
return 'rgba(' + Math.round(Math.random() * 255) + ',' + Math.round(Math.random() * 255) + ',' + Math.round(Math.random() * 255) + ',' + (opacity || '.3') + ')';
};
var scatterChartData = {
datasets: [{
label: "My First dataset",
data: [{
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}]
}, {
label: "My Second dataset",
data: [{
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}]
}]
};
$.each(scatterChartData.datasets, function(i, dataset) {
dataset.borderColor = randomColor(0.4);
dataset.backgroundColor = randomColor(0.1);
dataset.pointBorderColor = randomColor(0.7);
dataset.pointBackgroundColor = randomColor(0.5);
dataset.pointBorderWidth = 1;
});
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myScatter = Chart.Scatter(ctx, {
data: scatterChartData,
options: {
title: {
display: true,
text: 'Chart.js Scatter Chart'
},
scales: {
xAxes: [{
position: 'top',
gridLines: {
zeroLineColor: "rgba(0,255,0,1)"
},
scaleLabel: {
display: true,
labelString: 'x axis'
}
}],
yAxes: [{
position: 'right',
gridLines: {
zeroLineColor: "rgba(0,255,0,1)"
},
scaleLabel: {
display: true,
labelString: 'y axis'
}
}]
}
}
});
};
$('#randomizeData').click(function() {
scatterChartData.datasets[0].data = [{
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}];
scatterChartData.datasets[1].data = [{
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}]
window.myScatter.update();
});
</script>
</body>
</html>

165
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<!doctype html>
<html>
<head>
<title>Line Chart - Combo Time Scale</title>
<script src="../../node_modules/moment/min/moment.min.js"></script>
<script src="../../dist/Chart.bundle.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<style>
canvas {
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
}
</style>
</head>
<body>
<div style="width:75%;">
<canvas id="canvas"></canvas>
</div>
<br>
<br>
<button id="randomizeData">Randomize Data</button>
<button id="addDataset">Add Dataset</button>
<button id="removeDataset">Remove Dataset</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<script>
var timeFormat = 'MM/DD/YYYY HH:mm';
function randomScalingFactor() {
return Math.round(Math.random() * 100 * (Math.random() > 0.5 ? -1 : 1));
}
function randomColorFactor() {
return Math.round(Math.random() * 255);
}
function randomColor(opacity) {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
}
function newDateString(days) {
return moment().add(days, 'd').format(timeFormat);
}
var config = {
type: 'bar',
data: {
labels: [newDateString(0), newDateString(1), newDateString(2), newDateString(3), newDateString(4), newDateString(5), newDateString(6)],
datasets: [{
type: 'bar',
label: 'Dataset 1',
backgroundColor: "rgba(151,187,205,0.5)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
borderColor: 'white',
borderWidth: 2
}, {
type: 'bar',
label: 'Dataset 2',
backgroundColor: "rgba(151,187,205,0.5)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
borderColor: 'white',
borderWidth: 2
}, {
type: 'line',
label: 'Dataset 3',
backgroundColor: "rgba(220,220,220,0.5)",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
}, ]
},
options: {
showLines: true,
responsive: true,
title:{
display:true,
text:"Chart.js Combo Time Scale"
},
scales: {
xAxes: [{
type: "time",
display: true,
time: {
format: timeFormat,
// round: 'day'
}
}],
},
}
};
$.each(config.data.datasets, function(i, dataset) {
dataset.borderColor = randomColor(0.4);
dataset.backgroundColor = randomColor(0.5);
dataset.pointBorderColor = randomColor(0.7);
dataset.pointBackgroundColor = randomColor(0.5);
dataset.pointBorderWidth = 1;
});
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myLine = new Chart(ctx, config);
};
$('#randomizeData').click(function() {
$.each(config.data.datasets, function(i, dataset) {
dataset.data = dataset.data.map(function() {
return randomScalingFactor();
});
});
window.myLine.update();
});
$('#addDataset').click(function() {
var newDataset = {
label: 'Dataset ' + config.data.datasets.length,
borderColor: randomColor(0.4),
backgroundColor: randomColor(0.5),
pointBorderColor: randomColor(0.7),
pointBackgroundColor: randomColor(0.5),
pointBorderWidth: 1,
data: [],
};
for (var index = 0; index < config.data.labels.length; ++index) {
newDataset.data.push(randomScalingFactor());
}
config.data.datasets.push(newDataset);
window.myLine.update();
});
$('#addData').click(function() {
if (config.data.datasets.length > 0) {
config.data.labels.push(newDateString(config.data.labels.length));
for (var index = 0; index < config.data.datasets.length; ++index) {
config.data.datasets[index].data.push(randomScalingFactor());
}
window.myLine.update();
}
});
$('#removeDataset').click(function() {
config.data.datasets.splice(0, 1);
window.myLine.update();
});
$('#removeData').click(function() {
config.data.labels.splice(-1, 1); // remove the label first
config.data.datasets.forEach(function(dataset, datasetIndex) {
config.data.datasets[datasetIndex].data.pop();
});
window.myLine.update();
});
</script>
</body>
</html>

163
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<!doctype html>
<html>
<head>
<title>Time Scale Point Data</title>
<script src="../../dist/Chart.bundle.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<style>
canvas {
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
}
</style>
</head>
<body>
<div style="width:75%;">
<canvas id="canvas"></canvas>
</div>
<br>
<br>
<button id="randomizeData">Randomize Data</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<script>
function randomScalingFactor() {
return Math.round(Math.random() * 100 * (Math.random() > 0.5 ? -1 : 1));
}
function randomColorFactor() {
return Math.round(Math.random() * 255);
}
function randomColor(opacity) {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
}
function newDate(days) {
return moment().add(days, 'd').toDate();
}
function newDateString(days) {
return moment().add(days, 'd').format();
}
var config = {
type: 'line',
data: {
datasets: [{
label: "Dataset with string point data",
data: [{
x: newDateString(0),
y: randomScalingFactor()
}, {
x: newDateString(2),
y: randomScalingFactor()
}, {
x: newDateString(4),
y: randomScalingFactor()
}, {
x: newDateString(5),
y: randomScalingFactor()
}],
fill: false
}, {
label: "Dataset with date object point data",
data: [{
x: newDate(0),
y: randomScalingFactor()
}, {
x: newDate(2),
y: randomScalingFactor()
}, {
x: newDate(4),
y: randomScalingFactor()
}, {
x: newDate(5),
y: randomScalingFactor()
}],
fill: false
}]
},
options: {
responsive: true,
title:{
display:true,
text:"Chart.js Time Point Data"
},
scales: {
xAxes: [{
type: "time",
display: true,
scaleLabel: {
display: true,
labelString: 'Date'
}
}],
yAxes: [{
display: true,
scaleLabel: {
display: true,
labelString: 'value'
}
}]
}
}
};
$.each(config.data.datasets, function(i, dataset) {
dataset.borderColor = randomColor(0.4);
dataset.backgroundColor = randomColor(0.5);
dataset.pointBorderColor = randomColor(0.7);
dataset.pointBackgroundColor = randomColor(0.5);
dataset.pointBorderWidth = 1;
});
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myLine = new Chart(ctx, config);
};
$('#randomizeData').click(function() {
$.each(config.data.datasets, function(i, dataset) {
$.each(dataset.data, function(j, dataObj) {
dataObj.y = randomScalingFactor();
});
});
window.myLine.update();
});
$('#addData').click(function() {
if (config.data.datasets.length > 0) {
var lastTime = myLine.scales['x-axis-0'].labelMoments[0].length ? myLine.scales['x-axis-0'].labelMoments[0][myLine.scales['x-axis-0'].labelMoments[0].length - 1] : moment();
var newTime = lastTime
.clone()
.add(1, 'day')
.format('MM/DD/YYYY HH:mm');
for (var index = 0; index < config.data.datasets.length; ++index) {
config.data.datasets[index].data.push({
x: newTime,
y: randomScalingFactor()
});
}
window.myLine.update();
}
});
$('#removeData').click(function() {
config.data.datasets.forEach(function(dataset, datasetIndex) {
dataset.data.pop();
});
window.myLine.update();
});
</script>
</body>
</html>

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<!doctype html>
<html>
<head>
<title>Line Chart</title>
<script src="../../node_modules/moment/min/moment.min.js"></script>
<script src="../../dist/Chart.bundle.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<style>
canvas {
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
}
</style>
</head>
<body>
<div style="width:75%;">
<canvas id="canvas"></canvas>
</div>
<br>
<br>
<button id="randomizeData">Randomize Data</button>
<button id="addDataset">Add Dataset</button>
<button id="removeDataset">Remove Dataset</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<script>
var timeFormat = 'MM/DD/YYYY HH:mm';
function randomScalingFactor() {
return Math.round(Math.random() * 100 * (Math.random() > 0.5 ? -1 : 1));
}
function randomColorFactor() {
return Math.round(Math.random() * 255);
}
function randomColor(opacity) {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
}
function newDate(days) {
return moment().add(days, 'd').toDate();
}
function newDateString(days) {
return moment().add(days, 'd').format(timeFormat);
}
function newTimestamp(days) {
return moment().add(days, 'd').unix();
}
var config = {
type: 'line',
data: {
labels: [newDate(0), newDate(1), newDate(2), newDate(3), newDate(4), newDate(5), newDate(6)], // Date Objects
datasets: [{
label: "My First dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
fill: false,
borderDash: [5, 5],
}, {
label: "My Second dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
}, {
label: "Dataset with point data",
data: [{
x: newDateString(0),
y: randomScalingFactor()
}, {
x: newDateString(5),
y: randomScalingFactor()
}, {
x: newDateString(7),
y: randomScalingFactor()
}, {
x: newDateString(15),
y: randomScalingFactor()
}],
fill: false
}]
},
options: {
responsive: true,
title:{
display:true,
text:"Chart.js Time Scale"
},
scales: {
xAxes: [{
type: "time",
time: {
format: timeFormat,
// round: 'day'
tooltipFormat: 'll HH:mm'
},
scaleLabel: {
display: true,
labelString: 'Date'
}
}, ],
yAxes: [{
scaleLabel: {
display: true,
labelString: 'value'
}
}]
},
}
};
$.each(config.data.datasets, function(i, dataset) {
dataset.borderColor = randomColor(0.4);
dataset.backgroundColor = randomColor(0.5);
dataset.pointBorderColor = randomColor(0.7);
dataset.pointBackgroundColor = randomColor(0.5);
dataset.pointBorderWidth = 1;
});
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myLine = new Chart(ctx, config);
};
$('#randomizeData').click(function() {
$.each(config.data.datasets, function(i, dataset) {
$.each(dataset.data, function(j, dataObj) {
if (typeof dataObj === 'object') {
dataObj.y = randomScalingFactor();
} else {
dataset.data[j] = randomScalingFactor();
}
});
});
window.myLine.update();
});
$('#addDataset').click(function() {
var newDataset = {
label: 'Dataset ' + config.data.datasets.length,
borderColor: randomColor(0.4),
backgroundColor: randomColor(0.5),
pointBorderColor: randomColor(0.7),
pointBackgroundColor: randomColor(0.5),
pointBorderWidth: 1,
data: [],
};
for (var index = 0; index < config.data.labels.length; ++index) {
newDataset.data.push(randomScalingFactor());
}
config.data.datasets.push(newDataset);
window.myLine.update();
});
$('#addData').click(function() {
if (config.data.datasets.length > 0) {
config.data.labels.push(newDate(config.data.labels.length));
for (var index = 0; index < config.data.datasets.length; ++index) {
if (typeof config.data.datasets[index].data[0] === "object") {
config.data.datasets[index].data.push({
x: newDate(config.data.datasets[index].data.length),
y: randomScalingFactor(),
});
} else {
config.data.datasets[index].data.push(randomScalingFactor());
}
}
window.myLine.update();
}
});
$('#removeDataset').click(function() {
config.data.datasets.splice(0, 1);
window.myLine.update();
});
$('#removeData').click(function() {
config.data.labels.splice(-1, 1); // remove the label first
config.data.datasets.forEach(function(dataset, datasetIndex) {
dataset.data.pop();
});
window.myLine.update();
});
</script>
</body>
</html>

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public/vendors/Chart.js/samples/tooltip-hooks.html vendored Normal file
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<!doctype html>
<html>
<head>
<title>Line Chart</title>
<script src="../dist/Chart.bundle.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
<style>
canvas {
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
}
</style>
</head>
<body>
<div style="width:75%;">
<canvas id="canvas"></canvas>
</div>
<br>
<br>
<button id="randomizeData">Randomize Data</button>
<button id="addDataset">Add Dataset</button>
<button id="removeDataset">Remove Dataset</button>
<button id="addData">Add Data</button>
<button id="removeData">Remove Data</button>
<script>
var MONTHS = ["January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December"];
var randomScalingFactor = function() {
return Math.round(Math.random() * 100 * (Math.random() > 0.5 ? -1 : 1));
};
var randomColorFactor = function() {
return Math.round(Math.random() * 255);
};
var randomColor = function(opacity) {
return 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',' + (opacity || '.3') + ')';
};
var config = {
type: 'line',
data: {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [{
label: "My First dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
fill: false,
borderDash: [5, 5],
}, {
label: "My Second dataset",
data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
}]
},
options: {
responsive: true,
title:{
display:true,
text:"Chart.js Line Chart - Tooltip Hooks"
},
tooltips: {
mode: 'label',
callbacks: {
beforeTitle: function() {
return '...beforeTitle';
},
afterTitle: function() {
return '...afterTitle';
},
beforeBody: function() {
return '...beforeBody';
},
afterBody: function() {
return '...afterBody';
},
beforeFooter: function() {
return '...beforeFooter';
},
footer: function() {
return 'Footer';
},
afterFooter: function() {
return '...afterFooter';
},
}
},
hover: {
mode: 'label'
},
scales: {
xAxes: [{
display: true,
scaleLabel: {
show: true,
labelString: 'Month'
}
}],
yAxes: [{
display: true,
scaleLabel: {
show: true,
labelString: 'Value'
}
}]
}
}
};
$.each(config.data.datasets, function(i, dataset) {
dataset.borderColor = randomColor(0.4);
dataset.backgroundColor = randomColor(0.5);
dataset.pointBorderColor = randomColor(0.7);
dataset.pointBackgroundColor = randomColor(0.5);
dataset.pointBorderWidth = 1;
});
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myLine = new Chart(ctx, config);
};
$('#randomizeData').click(function() {
$.each(config.data.datasets, function(i, dataset) {
dataset.data = dataset.data.map(function() {
return randomScalingFactor();
});
});
window.myLine.update();
});
$('#addDataset').click(function() {
var newDataset = {
label: 'Dataset ' + config.data.datasets.length,
borderColor: randomColor(0.4),
backgroundColor: randomColor(0.5),
pointBorderColor: randomColor(0.7),
pointBackgroundColor: randomColor(0.5),
pointBorderWidth: 1,
data: [],
};
for (var index = 0; index < config.data.labels.length; ++index) {
newDataset.data.push(randomScalingFactor());
}
config.data.datasets.push(newDataset);
window.myLine.update();
});
$('#addData').click(function() {
if (config.data.datasets.length > 0) {
var month = MONTHS[config.data.labels.length % MONTHS.length];
config.data.labels.push(month);
$.each(config.data.datasets, function(i, dataset) {
dataset.data.push(randomScalingFactor());
});
window.myLine.update();
}
});
$('#removeDataset').click(function() {
config.data.datasets.splice(0, 1);
window.myLine.update();
});
$('#removeData').click(function() {
config.data.labels.splice(-1, 1); // remove the label first
config.data.datasets.forEach(function(dataset, datasetIndex) {
dataset.data.pop();
});
window.myLine.update();
});
</script>
</body>
</html>

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public/vendors/Chart.js/src/chart.js vendored Normal file
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var Chart = require('./core/core.js')();
require('./core/core.helpers')(Chart);
require('./core/core.element')(Chart);
require('./core/core.animation')(Chart);
require('./core/core.controller')(Chart);
require('./core/core.datasetController')(Chart);
require('./core/core.layoutService')(Chart);
require('./core/core.legend')(Chart);
require('./core/core.plugin.js')(Chart);
require('./core/core.scale')(Chart);
require('./core/core.scaleService')(Chart);
require('./core/core.title')(Chart);
require('./core/core.tooltip')(Chart);
require('./elements/element.arc')(Chart);
require('./elements/element.line')(Chart);
require('./elements/element.point')(Chart);
require('./elements/element.rectangle')(Chart);
require('./scales/scale.category')(Chart);
require('./scales/scale.linear')(Chart);
require('./scales/scale.logarithmic')(Chart);
require('./scales/scale.radialLinear')(Chart);
require('./scales/scale.time')(Chart);
// Controllers must be loaded after elements
// See Chart.core.datasetController.dataElementType
require('./controllers/controller.bar')(Chart);
require('./controllers/controller.bubble')(Chart);
require('./controllers/controller.doughnut')(Chart);
require('./controllers/controller.line')(Chart);
require('./controllers/controller.polarArea')(Chart);
require('./controllers/controller.radar')(Chart);
require('./charts/Chart.Bar')(Chart);
require('./charts/Chart.Bubble')(Chart);
require('./charts/Chart.Doughnut')(Chart);
require('./charts/Chart.Line')(Chart);
require('./charts/Chart.PolarArea')(Chart);
require('./charts/Chart.Radar')(Chart);
require('./charts/Chart.Scatter')(Chart);
window.Chart = module.exports = Chart;

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public/vendors/Chart.js/src/charts/Chart.Bar.js vendored Normal file
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"use strict";
module.exports = function(Chart) {
Chart.Bar = function(context, config) {
config.type = 'bar';
return new Chart(context, config);
};
};

10
public/vendors/Chart.js/src/charts/Chart.Bubble.js vendored Normal file
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"use strict";
module.exports = function(Chart) {
Chart.Bubble = function(context, config) {
config.type = 'bubble';
return new Chart(context, config);
};
};

11
public/vendors/Chart.js/src/charts/Chart.Doughnut.js vendored Normal file
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"use strict";
module.exports = function(Chart) {
Chart.Doughnut = function(context, config) {
config.type = 'doughnut';
return new Chart(context, config);
};
};

11
public/vendors/Chart.js/src/charts/Chart.Line.js vendored Normal file
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@ -0,0 +1,11 @@
"use strict";
module.exports = function(Chart) {
Chart.Line = function(context, config) {
config.type = 'line';
return new Chart(context, config);
};
};

11
public/vendors/Chart.js/src/charts/Chart.PolarArea.js vendored Normal file
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"use strict";
module.exports = function(Chart) {
Chart.PolarArea = function(context, config) {
config.type = 'polarArea';
return new Chart(context, config);
};
};

12
public/vendors/Chart.js/src/charts/Chart.Radar.js vendored Normal file
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"use strict";
module.exports = function(Chart) {
Chart.Radar = function(context, config) {
config.options = Chart.helpers.configMerge({ aspectRatio: 1 }, config.options);
config.type = 'radar';
return new Chart(context, config);
};
};

47
public/vendors/Chart.js/src/charts/Chart.Scatter.js vendored Normal file
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"use strict";
module.exports = function(Chart) {
var defaultConfig = {
hover: {
mode: 'single'
},
scales: {
xAxes: [{
type: "linear", // scatter should not use a category axis
position: "bottom",
id: "x-axis-1" // need an ID so datasets can reference the scale
}],
yAxes: [{
type: "linear",
position: "left",
id: "y-axis-1"
}]
},
tooltips: {
callbacks: {
title: function(tooltipItems, data) {
// Title doesn't make sense for scatter since we format the data as a point
return '';
},
label: function(tooltipItem, data) {
return '(' + tooltipItem.xLabel + ', ' + tooltipItem.yLabel + ')';
}
}
}
};
// Register the default config for this type
Chart.defaults.scatter = defaultConfig;
// Scatter charts use line controllers
Chart.controllers.scatter = Chart.controllers.line;
Chart.Scatter = function(context, config) {
config.type = 'scatter';
return new Chart(context, config);
};
};

569
public/vendors/Chart.js/src/controllers/controller.bar.js vendored Normal file
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"use strict";
module.exports = function(Chart) {
var helpers = Chart.helpers;
Chart.defaults.bar = {
hover: {
mode: "label"
},
scales: {
xAxes: [{
type: "category",
// Specific to Bar Controller
categoryPercentage: 0.8,
barPercentage: 0.9,
// grid line settings
gridLines: {
offsetGridLines: true
}
}],
yAxes: [{
type: "linear"
}]
}
};
Chart.controllers.bar = Chart.DatasetController.extend({
dataElementType: Chart.elements.Rectangle,
initialize: function(chart, datasetIndex) {
Chart.DatasetController.prototype.initialize.call(this, chart, datasetIndex);
// Use this to indicate that this is a bar dataset.
this.getMeta().bar = true;
},
// Get the number of datasets that display bars. We use this to correctly calculate the bar width
getBarCount: function getBarCount() {
var barCount = 0;
helpers.each(this.chart.data.datasets, function(dataset, datasetIndex) {
var meta = this.chart.getDatasetMeta(datasetIndex);
if (meta.bar && this.chart.isDatasetVisible(datasetIndex)) {
++barCount;
}
}, this);
return barCount;
},
update: function update(reset) {
helpers.each(this.getMeta().data, function(rectangle, index) {
this.updateElement(rectangle, index, reset);
}, this);
},
updateElement: function updateElement(rectangle, index, reset) {
var meta = this.getMeta();
var xScale = this.getScaleForId(meta.xAxisID);
var yScale = this.getScaleForId(meta.yAxisID);
var scaleBase = yScale.getBasePixel();
var rectangleElementOptions = this.chart.options.elements.rectangle;
var custom = rectangle.custom || {};
var dataset = this.getDataset();
helpers.extend(rectangle, {
// Utility
_xScale: xScale,
_yScale: yScale,
_datasetIndex: this.index,
_index: index,
// Desired view properties
_model: {
x: this.calculateBarX(index, this.index),
y: reset ? scaleBase : this.calculateBarY(index, this.index),
// Tooltip
label: this.chart.data.labels[index],
datasetLabel: dataset.label,
// Appearance
base: reset ? scaleBase : this.calculateBarBase(this.index, index),
width: this.calculateBarWidth(index),
backgroundColor: custom.backgroundColor ? custom.backgroundColor : helpers.getValueAtIndexOrDefault(dataset.backgroundColor, index, rectangleElementOptions.backgroundColor),
borderSkipped: custom.borderSkipped ? custom.borderSkipped : rectangleElementOptions.borderSkipped,
borderColor: custom.borderColor ? custom.borderColor : helpers.getValueAtIndexOrDefault(dataset.borderColor, index, rectangleElementOptions.borderColor),
borderWidth: custom.borderWidth ? custom.borderWidth : helpers.getValueAtIndexOrDefault(dataset.borderWidth, index, rectangleElementOptions.borderWidth)
}
});
rectangle.pivot();
},
calculateBarBase: function(datasetIndex, index) {
var meta = this.getMeta();
var yScale = this.getScaleForId(meta.yAxisID);
var base = 0;
if (yScale.options.stacked) {
var chart = this.chart;
var datasets = chart.data.datasets;
var value = datasets[datasetIndex].data[index];
if (value < 0) {
for (var i = 0; i < datasetIndex; i++) {
var negDS = datasets[i];
var negDSMeta = chart.getDatasetMeta(i);
if (negDSMeta.bar && negDSMeta.yAxisID === yScale.id && chart.isDatasetVisible(i)) {
base += negDS.data[index] < 0 ? negDS.data[index] : 0;
}
}
} else {
for (var j = 0; j < datasetIndex; j++) {
var posDS = datasets[j];
var posDSMeta = chart.getDatasetMeta(j);
if (posDSMeta.bar && posDSMeta.yAxisID === yScale.id && chart.isDatasetVisible(j)) {
base += posDS.data[index] > 0 ? posDS.data[index] : 0;
}
}
}
return yScale.getPixelForValue(base);
}
return yScale.getBasePixel();
},
getRuler: function(index) {
var meta = this.getMeta();
var xScale = this.getScaleForId(meta.xAxisID);
var datasetCount = this.getBarCount();
var tickWidth;
if (xScale.options.type === 'category') {
tickWidth = xScale.getPixelForTick(index + 1) - xScale.getPixelForTick(index);
} else {
// Average width
tickWidth = xScale.width / xScale.ticks.length;
}
var categoryWidth = tickWidth * xScale.options.categoryPercentage;
var categorySpacing = (tickWidth - (tickWidth * xScale.options.categoryPercentage)) / 2;
var fullBarWidth = categoryWidth / datasetCount;
if (xScale.ticks.length !== this.chart.data.labels.length) {
var perc = xScale.ticks.length / this.chart.data.labels.length;
fullBarWidth = fullBarWidth * perc;
}
var barWidth = fullBarWidth * xScale.options.barPercentage;
var barSpacing = fullBarWidth - (fullBarWidth * xScale.options.barPercentage);
return {
datasetCount: datasetCount,
tickWidth: tickWidth,
categoryWidth: categoryWidth,
categorySpacing: categorySpacing,
fullBarWidth: fullBarWidth,
barWidth: barWidth,
barSpacing: barSpacing
};
},
calculateBarWidth: function(index) {
var xScale = this.getScaleForId(this.getMeta().xAxisID);
var ruler = this.getRuler(index);
return xScale.options.stacked ? ruler.categoryWidth : ruler.barWidth;
},
// Get bar index from the given dataset index accounting for the fact that not all bars are visible
getBarIndex: function(datasetIndex) {
var barIndex = 0;
var meta, j;
for (j = 0; j < datasetIndex; ++j) {
meta = this.chart.getDatasetMeta(j);
if (meta.bar && this.chart.isDatasetVisible(j)) {
++barIndex;
}
}
return barIndex;
},
calculateBarX: function(index, datasetIndex) {
var meta = this.getMeta();
var xScale = this.getScaleForId(meta.xAxisID);
var barIndex = this.getBarIndex(datasetIndex);
var ruler = this.getRuler(index);
var leftTick = xScale.getPixelForValue(null, index, datasetIndex, this.chart.isCombo);
leftTick -= this.chart.isCombo ? (ruler.tickWidth / 2) : 0;
if (xScale.options.stacked) {
return leftTick + (ruler.categoryWidth / 2) + ruler.categorySpacing;
}
return leftTick +
(ruler.barWidth / 2) +
ruler.categorySpacing +
(ruler.barWidth * barIndex) +
(ruler.barSpacing / 2) +
(ruler.barSpacing * barIndex);
},
calculateBarY: function(index, datasetIndex) {
var meta = this.getMeta();
var yScale = this.getScaleForId(meta.yAxisID);
var value = this.getDataset().data[index];
if (yScale.options.stacked) {
var sumPos = 0,
sumNeg = 0;
for (var i = 0; i < datasetIndex; i++) {
var ds = this.chart.data.datasets[i];
var dsMeta = this.chart.getDatasetMeta(i);
if (dsMeta.bar && dsMeta.yAxisID === yScale.id && this.chart.isDatasetVisible(i)) {
if (ds.data[index] < 0) {
sumNeg += ds.data[index] || 0;
} else {
sumPos += ds.data[index] || 0;
}
}
}
if (value < 0) {
return yScale.getPixelForValue(sumNeg + value);
} else {
return yScale.getPixelForValue(sumPos + value);
}
}
return yScale.getPixelForValue(value);
},
draw: function(ease) {
var easingDecimal = ease || 1;
helpers.each(this.getMeta().data, function(rectangle, index) {
var d = this.getDataset().data[index];
if (d !== null && d !== undefined && !isNaN(d)) {
rectangle.transition(easingDecimal).draw();
}
}, this);
},
setHoverStyle: function(rectangle) {
var dataset = this.chart.data.datasets[rectangle._datasetIndex];
var index = rectangle._index;
var custom = rectangle.custom || {};
var model = rectangle._model;
model.backgroundColor = custom.hoverBackgroundColor ? custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(dataset.hoverBackgroundColor, index, helpers.getHoverColor(model.backgroundColor));
model.borderColor = custom.hoverBorderColor ? custom.hoverBorderColor : helpers.getValueAtIndexOrDefault(dataset.hoverBorderColor, index, helpers.getHoverColor(model.borderColor));
model.borderWidth = custom.hoverBorderWidth ? custom.hoverBorderWidth : helpers.getValueAtIndexOrDefault(dataset.hoverBorderWidth, index, model.borderWidth);
},
removeHoverStyle: function(rectangle) {
var dataset = this.chart.data.datasets[rectangle._datasetIndex];
var index = rectangle._index;
var custom = rectangle.custom || {};
var model = rectangle._model;
var rectangleElementOptions = this.chart.options.elements.rectangle;
model.backgroundColor = custom.backgroundColor ? custom.backgroundColor : helpers.getValueAtIndexOrDefault(dataset.backgroundColor, index, rectangleElementOptions.backgroundColor);
model.borderColor = custom.borderColor ? custom.borderColor : helpers.getValueAtIndexOrDefault(dataset.borderColor, index, rectangleElementOptions.borderColor);
model.borderWidth = custom.borderWidth ? custom.borderWidth : helpers.getValueAtIndexOrDefault(dataset.borderWidth, index, rectangleElementOptions.borderWidth);
}
});
// including horizontalBar in the bar file, instead of a file of its own
// it extends bar (like pie extends doughnut)
Chart.defaults.horizontalBar = {
hover: {
mode: "label"
},
scales: {
xAxes: [{
type: "linear",
position: "bottom"
}],
yAxes: [{
position: "left",
type: "category",
// Specific to Horizontal Bar Controller
categoryPercentage: 0.8,
barPercentage: 0.9,
// grid line settings
gridLines: {
offsetGridLines: true
}
}]
},
elements: {
rectangle: {
borderSkipped: 'left'
}
},
tooltips: {
callbacks: {
title: function(tooltipItems, data) {
// Pick first xLabel for now
var title = '';
if (tooltipItems.length > 0) {
if (tooltipItems[0].yLabel) {
title = tooltipItems[0].yLabel;
} else if (data.labels.length > 0 && tooltipItems[0].index < data.labels.length) {
title = data.labels[tooltipItems[0].index];
}
}
return title;
},
label: function(tooltipItem, data) {
var datasetLabel = data.datasets[tooltipItem.datasetIndex].label || '';
return datasetLabel + ': ' + tooltipItem.xLabel;
}
}
}
};
Chart.controllers.horizontalBar = Chart.controllers.bar.extend({
updateElement: function updateElement(rectangle, index, reset, numBars) {
var meta = this.getMeta();
var xScale = this.getScaleForId(meta.xAxisID);
var yScale = this.getScaleForId(meta.yAxisID);
var scaleBase = xScale.getBasePixel();
var custom = rectangle.custom || {};
var dataset = this.getDataset();
var rectangleElementOptions = this.chart.options.elements.rectangle;
helpers.extend(rectangle, {
// Utility
_xScale: xScale,
_yScale: yScale,
_datasetIndex: this.index,
_index: index,
// Desired view properties
_model: {
x: reset ? scaleBase : this.calculateBarX(index, this.index),
y: this.calculateBarY(index, this.index),
// Tooltip
label: this.chart.data.labels[index],
datasetLabel: dataset.label,
// Appearance
base: reset ? scaleBase : this.calculateBarBase(this.index, index),
height: this.calculateBarHeight(index),
backgroundColor: custom.backgroundColor ? custom.backgroundColor : helpers.getValueAtIndexOrDefault(dataset.backgroundColor, index, rectangleElementOptions.backgroundColor),
borderSkipped: custom.borderSkipped ? custom.borderSkipped : rectangleElementOptions.borderSkipped,
borderColor: custom.borderColor ? custom.borderColor : helpers.getValueAtIndexOrDefault(dataset.borderColor, index, rectangleElementOptions.borderColor),
borderWidth: custom.borderWidth ? custom.borderWidth : helpers.getValueAtIndexOrDefault(dataset.borderWidth, index, rectangleElementOptions.borderWidth)
},
draw: function () {
var ctx = this._chart.ctx;
var vm = this._view;
var halfHeight = vm.height / 2,
topY = vm.y - halfHeight,
bottomY = vm.y + halfHeight,
right = vm.base - (vm.base - vm.x),
halfStroke = vm.borderWidth / 2;
// Canvas doesn't allow us to stroke inside the width so we can
// adjust the sizes to fit if we're setting a stroke on the line
if (vm.borderWidth) {
topY += halfStroke;
bottomY -= halfStroke;
right += halfStroke;
}
ctx.beginPath();
ctx.fillStyle = vm.backgroundColor;
ctx.strokeStyle = vm.borderColor;
ctx.lineWidth = vm.borderWidth;
// Corner points, from bottom-left to bottom-right clockwise
// | 1 2 |
// | 0 3 |
var corners = [
[vm.base, bottomY],
[vm.base, topY],
[right, topY],
[right, bottomY]
];
// Find first (starting) corner with fallback to 'bottom'
var borders = ['bottom', 'left', 'top', 'right'];
var startCorner = borders.indexOf(vm.borderSkipped, 0);
if (startCorner === -1)
startCorner = 0;
function cornerAt(index) {
return corners[(startCorner + index) % 4];
}
// Draw rectangle from 'startCorner'
ctx.moveTo.apply(ctx, cornerAt(0));
for (var i = 1; i < 4; i++)
ctx.lineTo.apply(ctx, cornerAt(i));
ctx.fill();
if (vm.borderWidth) {
ctx.stroke();
}
},
inRange: function (mouseX, mouseY) {
var vm = this._view;
var inRange = false;
if (vm) {
if (vm.x < vm.base) {
inRange = (mouseY >= vm.y - vm.height / 2 && mouseY <= vm.y + vm.height / 2) && (mouseX >= vm.x && mouseX <= vm.base);
} else {
inRange = (mouseY >= vm.y - vm.height / 2 && mouseY <= vm.y + vm.height / 2) && (mouseX >= vm.base && mouseX <= vm.x);
}
}
return inRange;
}
});
rectangle.pivot();
},
calculateBarBase: function (datasetIndex, index) {
var meta = this.getMeta();
var xScale = this.getScaleForId(meta.xAxisID);
var base = 0;
if (xScale.options.stacked) {
var value = this.chart.data.datasets[datasetIndex].data[index];
if (value < 0) {
for (var i = 0; i < datasetIndex; i++) {
var negDS = this.chart.data.datasets[i];
var negDSMeta = this.chart.getDatasetMeta(i);
if (negDSMeta.bar && negDSMeta.xAxisID === xScale.id && this.chart.isDatasetVisible(i)) {
base += negDS.data[index] < 0 ? negDS.data[index] : 0;
}
}
} else {
for (var j = 0; j < datasetIndex; j++) {
var posDS = this.chart.data.datasets[j];
var posDSMeta = this.chart.getDatasetMeta(j);
if (posDSMeta.bar && posDSMeta.xAxisID === xScale.id && this.chart.isDatasetVisible(j)) {
base += posDS.data[index] > 0 ? posDS.data[index] : 0;
}
}
}
return xScale.getPixelForValue(base);
}
return xScale.getBasePixel();
},
getRuler: function (index) {
var meta = this.getMeta();
var yScale = this.getScaleForId(meta.yAxisID);
var datasetCount = this.getBarCount();
var tickHeight;
if (yScale.options.type === 'category') {
tickHeight = yScale.getPixelForTick(index + 1) - yScale.getPixelForTick(index);
} else {
// Average width
tickHeight = yScale.width / yScale.ticks.length;
}
var categoryHeight = tickHeight * yScale.options.categoryPercentage;
var categorySpacing = (tickHeight - (tickHeight * yScale.options.categoryPercentage)) / 2;
var fullBarHeight = categoryHeight / datasetCount;
if (yScale.ticks.length !== this.chart.data.labels.length) {
var perc = yScale.ticks.length / this.chart.data.labels.length;
fullBarHeight = fullBarHeight * perc;
}
var barHeight = fullBarHeight * yScale.options.barPercentage;
var barSpacing = fullBarHeight - (fullBarHeight * yScale.options.barPercentage);
return {
datasetCount: datasetCount,
tickHeight: tickHeight,
categoryHeight: categoryHeight,
categorySpacing: categorySpacing,
fullBarHeight: fullBarHeight,
barHeight: barHeight,
barSpacing: barSpacing,
};
},
calculateBarHeight: function (index) {
var yScale = this.getScaleForId(this.getMeta().yAxisID);
var ruler = this.getRuler(index);
return yScale.options.stacked ? ruler.categoryHeight : ruler.barHeight;
},
calculateBarX: function (index, datasetIndex) {
var meta = this.getMeta();
var xScale = this.getScaleForId(meta.xAxisID);
var value = this.getDataset().data[index];
if (xScale.options.stacked) {
var sumPos = 0,
sumNeg = 0;
for (var i = 0; i < datasetIndex; i++) {
var ds = this.chart.data.datasets[i];
var dsMeta = this.chart.getDatasetMeta(i);
if (dsMeta.bar && dsMeta.xAxisID === xScale.id && this.chart.isDatasetVisible(i)) {
if (ds.data[index] < 0) {
sumNeg += ds.data[index] || 0;
} else {
sumPos += ds.data[index] || 0;
}
}
}
if (value < 0) {
return xScale.getPixelForValue(sumNeg + value);
} else {
return xScale.getPixelForValue(sumPos + value);
}
}
return xScale.getPixelForValue(value);
},
calculateBarY: function (index, datasetIndex) {
var meta = this.getMeta();
var yScale = this.getScaleForId(meta.yAxisID);
var barIndex = this.getBarIndex(datasetIndex);
var ruler = this.getRuler(index);
var topTick = yScale.getPixelForValue(null, index, datasetIndex, this.chart.isCombo);
topTick -= this.chart.isCombo ? (ruler.tickHeight / 2) : 0;
if (yScale.options.stacked) {
return topTick + (ruler.categoryHeight / 2) + ruler.categorySpacing;
}
return topTick +
(ruler.barHeight / 2) +
ruler.categorySpacing +
(ruler.barHeight * barIndex) +
(ruler.barSpacing / 2) +
(ruler.barSpacing * barIndex);
}
});
};

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"use strict";
module.exports = function(Chart) {
var helpers = Chart.helpers;
Chart.defaults.bubble = {
hover: {
mode: "single"
},
scales: {
xAxes: [{
type: "linear", // bubble should probably use a linear scale by default
position: "bottom",
id: "x-axis-0" // need an ID so datasets can reference the scale
}],
yAxes: [{
type: "linear",
position: "left",
id: "y-axis-0"
}]
},
tooltips: {
callbacks: {
title: function(tooltipItems, data) {
// Title doesn't make sense for scatter since we format the data as a point
return '';
},
label: function(tooltipItem, data) {
var datasetLabel = data.datasets[tooltipItem.datasetIndex].label || '';
var dataPoint = data.datasets[tooltipItem.datasetIndex].data[tooltipItem.index];
return datasetLabel + ': (' + dataPoint.x + ', ' + dataPoint.y + ', ' + dataPoint.r + ')';
}
}
}
};
Chart.controllers.bubble = Chart.DatasetController.extend({
dataElementType: Chart.elements.Point,
update: function update(reset) {
var meta = this.getMeta();
var points = meta.data;
// Update Points
helpers.each(points, function(point, index) {
this.updateElement(point, index, reset);
}, this);
},
updateElement: function(point, index, reset) {
var meta = this.getMeta();
var xScale = this.getScaleForId(meta.xAxisID);
var yScale = this.getScaleForId(meta.yAxisID);
var custom = point.custom || {};
var dataset = this.getDataset();
var data = dataset.data[index];
var pointElementOptions = this.chart.options.elements.point;
helpers.extend(point, {
// Utility
_xScale: xScale,
_yScale: yScale,
_datasetIndex: this.index,
_index: index,
// Desired view properties
_model: {
x: reset ? xScale.getPixelForDecimal(0.5) : xScale.getPixelForValue(data, index, this.index, this.chart.isCombo),
y: reset ? yScale.getBasePixel() : yScale.getPixelForValue(data, index, this.index),
// Appearance
radius: reset ? 0 : custom.radius ? custom.radius : this.getRadius(data),
backgroundColor: custom.backgroundColor ? custom.backgroundColor : helpers.getValueAtIndexOrDefault(dataset.backgroundColor, index, pointElementOptions.backgroundColor),
borderColor: custom.borderColor ? custom.borderColor : helpers.getValueAtIndexOrDefault(dataset.borderColor, index, pointElementOptions.borderColor),
borderWidth: custom.borderWidth ? custom.borderWidth : helpers.getValueAtIndexOrDefault(dataset.borderWidth, index, pointElementOptions.borderWidth),
// Tooltip
hitRadius: custom.hitRadius ? custom.hitRadius : helpers.getValueAtIndexOrDefault(dataset.hitRadius, index, pointElementOptions.hitRadius)
}
});
var model = point._model;
model.skip = custom.skip ? custom.skip : (isNaN(model.x) || isNaN(model.y));
point.pivot();
},
getRadius: function(value) {
return value.r || this.chart.options.elements.point.radius;
},
setHoverStyle: function(point) {
// Point
var dataset = this.chart.data.datasets[point._datasetIndex];
var index = point._index;
var custom = point.custom || {};
var model = point._model;
model.radius = custom.hoverRadius ? custom.hoverRadius : (helpers.getValueAtIndexOrDefault(dataset.hoverRadius, index, this.chart.options.elements.point.hoverRadius)) + this.getRadius(this.getDataset().data[point._index]);
model.backgroundColor = custom.hoverBackgroundColor ? custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(dataset.hoverBackgroundColor, index, helpers.getHoverColor(model.backgroundColor));
model.borderColor = custom.hoverBorderColor ? custom.hoverBorderColor : helpers.getValueAtIndexOrDefault(dataset.hoverBorderColor, index, helpers.getHoverColor(model.borderColor));
model.borderWidth = custom.hoverBorderWidth ? custom.hoverBorderWidth : helpers.getValueAtIndexOrDefault(dataset.hoverBorderWidth, index, model.borderWidth);
},
removeHoverStyle: function(point) {
var dataset = this.chart.data.datasets[point._datasetIndex];
var index = point._index;
var custom = point.custom || {};
var model = point._model;
var pointElementOptions = this.chart.options.elements.point;
model.radius = custom.radius ? custom.radius : this.getRadius(dataset.data[point._index]);
model.backgroundColor = custom.backgroundColor ? custom.backgroundColor : helpers.getValueAtIndexOrDefault(dataset.backgroundColor, index, pointElementOptions.backgroundColor);
model.borderColor = custom.borderColor ? custom.borderColor : helpers.getValueAtIndexOrDefault(dataset.borderColor, index, pointElementOptions.borderColor);
model.borderWidth = custom.borderWidth ? custom.borderWidth : helpers.getValueAtIndexOrDefault(dataset.borderWidth, index, pointElementOptions.borderWidth);
}
});
};

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"use strict";
module.exports = function(Chart) {
var helpers = Chart.helpers,
defaults = Chart.defaults;
defaults.doughnut = {
animation: {
//Boolean - Whether we animate the rotation of the Doughnut
animateRotate: true,
//Boolean - Whether we animate scaling the Doughnut from the centre
animateScale: false
},
aspectRatio: 1,
hover: {
mode: 'single'
},
legendCallback: function(chart) {
var text = [];
text.push('<ul class="' + chart.id + '-legend">');
var data = chart.data;
var datasets = data.datasets;
var labels = data.labels;
if (datasets.length) {
for (var i = 0; i < datasets[0].data.length; ++i) {
text.push('<li><span style="background-color:' + datasets[0].backgroundColor[i] + '"></span>');
if (labels[i]) {
text.push(labels[i]);
}
text.push('</li>');
}
}
text.push('</ul>');
return text.join("");
},
legend: {
labels: {
generateLabels: function(chart) {
var data = chart.data;
if (data.labels.length && data.datasets.length) {
return data.labels.map(function(label, i) {
var meta = chart.getDatasetMeta(0);
var ds = data.datasets[0];
var arc = meta.data[i];
var custom = arc.custom || {};
var getValueAtIndexOrDefault = helpers.getValueAtIndexOrDefault;
var arcOpts = chart.options.elements.arc;
var fill = custom.backgroundColor ? custom.backgroundColor : getValueAtIndexOrDefault(ds.backgroundColor, i, arcOpts.backgroundColor);
var stroke = custom.borderColor ? custom.borderColor : getValueAtIndexOrDefault(ds.borderColor, i, arcOpts.borderColor);
var bw = custom.borderWidth ? custom.borderWidth : getValueAtIndexOrDefault(ds.borderWidth, i, arcOpts.borderWidth);
return {
text: label,
fillStyle: fill,
strokeStyle: stroke,
lineWidth: bw,
hidden: isNaN(ds.data[i]) || meta.data[i].hidden,
// Extra data used for toggling the correct item
index: i
};
});
} else {
return [];
}
}
},
onClick: function(e, legendItem) {
var index = legendItem.index;
var chart = this.chart;
var i, ilen, meta;
for (i = 0, ilen = (chart.data.datasets || []).length; i < ilen; ++i) {
meta = chart.getDatasetMeta(i);
meta.data[index].hidden = !meta.data[index].hidden;
}
chart.update();
}
},
//The percentage of the chart that we cut out of the middle.
cutoutPercentage: 50,
//The rotation of the chart, where the first data arc begins.
rotation: Math.PI * -0.5,
//The total circumference of the chart.
circumference: Math.PI * 2.0,
// Need to override these to give a nice default
tooltips: {
callbacks: {
title: function() {
return '';
},
label: function(tooltipItem, data) {
return data.labels[tooltipItem.index] + ': ' + data.datasets[tooltipItem.datasetIndex].data[tooltipItem.index];
}
}
}
};
defaults.pie = helpers.clone(defaults.doughnut);
helpers.extend(defaults.pie, {
cutoutPercentage: 0
});
Chart.controllers.doughnut = Chart.controllers.pie = Chart.DatasetController.extend({
dataElementType: Chart.elements.Arc,
linkScales: helpers.noop,
// Get index of the dataset in relation to the visible datasets. This allows determining the inner and outer radius correctly
getRingIndex: function getRingIndex(datasetIndex) {
var ringIndex = 0;
for (var j = 0; j < datasetIndex; ++j) {
if (this.chart.isDatasetVisible(j)) {
++ringIndex;
}
}
return ringIndex;
},
update: function update(reset) {
var _this = this;
var chart = _this.chart,
chartArea = chart.chartArea,
opts = chart.options,
arcOpts = opts.elements.arc,
availableWidth = chartArea.right - chartArea.left - arcOpts.borderWidth,
availableHeight = chartArea.bottom - chartArea.top - arcOpts.borderWidth,
minSize = Math.min(availableWidth, availableHeight),
offset = {
x: 0,
y: 0
},
meta = _this.getMeta(),
cutoutPercentage = opts.cutoutPercentage,
circumference = opts.circumference;
// If the chart's circumference isn't a full circle, calculate minSize as a ratio of the width/height of the arc
if (circumference < Math.PI * 2.0) {
var startAngle = opts.rotation % (Math.PI * 2.0);
startAngle += Math.PI * 2.0 * (startAngle >= Math.PI ? -1 : startAngle < -Math.PI ? 1 : 0);
var endAngle = startAngle + circumference;
var start = {x: Math.cos(startAngle), y: Math.sin(startAngle)};
var end = {x: Math.cos(endAngle), y: Math.sin(endAngle)};
var contains0 = (startAngle <= 0 && 0 <= endAngle) || (startAngle <= Math.PI * 2.0 && Math.PI * 2.0 <= endAngle);
var contains90 = (startAngle <= Math.PI * 0.5 && Math.PI * 0.5 <= endAngle) || (startAngle <= Math.PI * 2.5 && Math.PI * 2.5 <= endAngle);
var contains180 = (startAngle <= -Math.PI && -Math.PI <= endAngle) || (startAngle <= Math.PI && Math.PI <= endAngle);
var contains270 = (startAngle <= -Math.PI * 0.5 && -Math.PI * 0.5 <= endAngle) || (startAngle <= Math.PI * 1.5 && Math.PI * 1.5 <= endAngle);
var cutout = cutoutPercentage / 100.0;
var min = {x: contains180 ? -1 : Math.min(start.x * (start.x < 0 ? 1 : cutout), end.x * (end.x < 0 ? 1 : cutout)), y: contains270 ? -1 : Math.min(start.y * (start.y < 0 ? 1 : cutout), end.y * (end.y < 0 ? 1 : cutout))};
var max = {x: contains0 ? 1 : Math.max(start.x * (start.x > 0 ? 1 : cutout), end.x * (end.x > 0 ? 1 : cutout)), y: contains90 ? 1 : Math.max(start.y * (start.y > 0 ? 1 : cutout), end.y * (end.y > 0 ? 1 : cutout))};
var size = {width: (max.x - min.x) * 0.5, height: (max.y - min.y) * 0.5};
minSize = Math.min(availableWidth / size.width, availableHeight / size.height);
offset = {x: (max.x + min.x) * -0.5, y: (max.y + min.y) * -0.5};
}
chart.outerRadius = Math.max(minSize / 2, 0);
chart.innerRadius = Math.max(cutoutPercentage ? (chart.outerRadius / 100) * (cutoutPercentage) : 1, 0);
chart.radiusLength = (chart.outerRadius - chart.innerRadius) / chart.getVisibleDatasetCount();
chart.offsetX = offset.x * chart.outerRadius;
chart.offsetY = offset.y * chart.outerRadius;
meta.total = _this.calculateTotal();
_this.outerRadius = chart.outerRadius - (chart.radiusLength * _this.getRingIndex(_this.index));
_this.innerRadius = _this.outerRadius - chart.radiusLength;
helpers.each(meta.data, function(arc, index) {
_this.updateElement(arc, index, reset);
});
},
updateElement: function(arc, index, reset) {
var _this = this;
var chart = _this.chart,
chartArea = chart.chartArea,
opts = chart.options,
animationOpts = opts.animation,
arcOpts = opts.elements.arc,
centerX = (chartArea.left + chartArea.right) / 2,
centerY = (chartArea.top + chartArea.bottom) / 2,
startAngle = opts.rotation, // non reset case handled later
endAngle = opts.rotation, // non reset case handled later
dataset = _this.getDataset(),
circumference = reset && animationOpts.animateRotate ? 0 : arc.hidden ? 0 : _this.calculateCircumference(dataset.data[index]) * (opts.circumference / (2.0 * Math.PI)),
innerRadius = reset && animationOpts.animateScale ? 0 : _this.innerRadius,
outerRadius = reset && animationOpts.animateScale ? 0 : _this.outerRadius,
custom = arc.custom || {},
valueAtIndexOrDefault = helpers.getValueAtIndexOrDefault;
helpers.extend(arc, {
// Utility
_datasetIndex: _this.index,
_index: index,
// Desired view properties
_model: {
x: centerX + chart.offsetX,
y: centerY + chart.offsetY,
startAngle: startAngle,
endAngle: endAngle,
circumference: circumference,
outerRadius: outerRadius,
innerRadius: innerRadius,
label: valueAtIndexOrDefault(dataset.label, index, chart.data.labels[index])
}
});
var model = arc._model;
model.backgroundColor = custom.backgroundColor ? custom.backgroundColor : valueAtIndexOrDefault(dataset.backgroundColor, index, arcOpts.backgroundColor);
model.hoverBackgroundColor = custom.hoverBackgroundColor ? custom.hoverBackgroundColor : valueAtIndexOrDefault(dataset.hoverBackgroundColor, index, arcOpts.hoverBackgroundColor);
model.borderWidth = custom.borderWidth ? custom.borderWidth : valueAtIndexOrDefault(dataset.borderWidth, index, arcOpts.borderWidth);
model.borderColor = custom.borderColor ? custom.borderColor : valueAtIndexOrDefault(dataset.borderColor, index, arcOpts.borderColor);
// Set correct angles if not resetting
if (!reset || !animationOpts.animateRotate) {
if (index === 0) {
model.startAngle = opts.rotation;
} else {
model.startAngle = _this.getMeta().data[index - 1]._model.endAngle;
}
model.endAngle = model.startAngle + model.circumference;
}
arc.pivot();
},
removeHoverStyle: function(arc) {
Chart.DatasetController.prototype.removeHoverStyle.call(this, arc, this.chart.options.elements.arc);
},
calculateTotal: function() {
var dataset = this.getDataset();
var meta = this.getMeta();
var total = 0;
var value;
helpers.each(meta.data, function(element, index) {
value = dataset.data[index];
if (!isNaN(value) && !element.hidden) {
total += Math.abs(value);
}
});
return total;
},
calculateCircumference: function(value) {
var total = this.getMeta().total;
if (total > 0 && !isNaN(value)) {
return (Math.PI * 2.0) * (value / total);
} else {
return 0;
}
}
});
};

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"use strict";
module.exports = function(Chart) {
var helpers = Chart.helpers;
Chart.defaults.line = {
showLines: true,
hover: {
mode: "label"
},
scales: {
xAxes: [{
type: "category",
id: 'x-axis-0'
}],
yAxes: [{
type: "linear",
id: 'y-axis-0'
}]
}
};
Chart.controllers.line = Chart.DatasetController.extend({
datasetElementType: Chart.elements.Line,
dataElementType: Chart.elements.Point,
addElementAndReset: function(index) {
var me = this;
var options = me.chart.options;
Chart.DatasetController.prototype.addElementAndReset.call(me, index);
// Make sure bezier control points are updated
if (options.showLines && options.elements.line.tension !== 0) {
me.updateBezierControlPoints();
}
},
update: function update(reset) {
var me = this;
var meta = me.getMeta();
var line = meta.dataset;
var points = meta.data || [];
var options = me.chart.options;
var lineElementOptions = options.elements.line;
var scale = me.getScaleForId(meta.yAxisID);
var i, ilen, dataset, custom;
// Update Line
if (options.showLines) {
dataset = me.getDataset();
custom = line.custom || {};
// Compatibility: If the properties are defined with only the old name, use those values
if ((dataset.tension !== undefined) && (dataset.lineTension === undefined)) {
dataset.lineTension = dataset.tension;
}
// Utility
line._scale = scale;
line._datasetIndex = me.index;
// Data
line._children = points;
// Model
line._model = {
// Appearance
tension: custom.tension ? custom.tension : helpers.getValueOrDefault(dataset.lineTension, lineElementOptions.tension),
backgroundColor: custom.backgroundColor ? custom.backgroundColor : (dataset.backgroundColor || lineElementOptions.backgroundColor),
borderWidth: custom.borderWidth ? custom.borderWidth : (dataset.borderWidth || lineElementOptions.borderWidth),
borderColor: custom.borderColor ? custom.borderColor : (dataset.borderColor || lineElementOptions.borderColor),
borderCapStyle: custom.borderCapStyle ? custom.borderCapStyle : (dataset.borderCapStyle || lineElementOptions.borderCapStyle),
borderDash: custom.borderDash ? custom.borderDash : (dataset.borderDash || lineElementOptions.borderDash),
borderDashOffset: custom.borderDashOffset ? custom.borderDashOffset : (dataset.borderDashOffset || lineElementOptions.borderDashOffset),
borderJoinStyle: custom.borderJoinStyle ? custom.borderJoinStyle : (dataset.borderJoinStyle || lineElementOptions.borderJoinStyle),
fill: custom.fill ? custom.fill : (dataset.fill !== undefined ? dataset.fill : lineElementOptions.fill),
// Scale
scaleTop: scale.top,
scaleBottom: scale.bottom,
scaleZero: scale.getBasePixel()
};
line.pivot();
}
// Update Points
for (i=0, ilen=points.length; i<ilen; ++i) {
me.updateElement(points[i], i, reset);
}
if (options.showLines && lineElementOptions.tension !== 0) {
me.updateBezierControlPoints();
}
},
getPointBackgroundColor: function(point, index) {
var backgroundColor = this.chart.options.elements.point.backgroundColor;
var dataset = this.getDataset();
var custom = point.custom || {};
if (custom.backgroundColor) {
backgroundColor = custom.backgroundColor;
} else if (dataset.pointBackgroundColor) {
backgroundColor = helpers.getValueAtIndexOrDefault(dataset.pointBackgroundColor, index, backgroundColor);
} else if (dataset.backgroundColor) {
backgroundColor = dataset.backgroundColor;
}
return backgroundColor;
},
getPointBorderColor: function(point, index) {
var borderColor = this.chart.options.elements.point.borderColor;
var dataset = this.getDataset();
var custom = point.custom || {};
if (custom.borderColor) {
borderColor = custom.borderColor;
} else if (dataset.pointBorderColor) {
borderColor = helpers.getValueAtIndexOrDefault(dataset.pointBorderColor, index, borderColor);
} else if (dataset.borderColor) {
borderColor = dataset.borderColor;
}
return borderColor;
},
getPointBorderWidth: function(point, index) {
var borderWidth = this.chart.options.elements.point.borderWidth;
var dataset = this.getDataset();
var custom = point.custom || {};
if (custom.borderWidth) {
borderWidth = custom.borderWidth;
} else if (dataset.pointBorderWidth) {
borderWidth = helpers.getValueAtIndexOrDefault(dataset.pointBorderWidth, index, borderWidth);
} else if (dataset.borderWidth) {
borderWidth = dataset.borderWidth;
}
return borderWidth;
},
updateElement: function(point, index, reset) {
var me = this;
var meta = me.getMeta();
var custom = point.custom || {};
var dataset = me.getDataset();
var datasetIndex = me.index;
var value = dataset.data[index];
var yScale = me.getScaleForId(meta.yAxisID);
var xScale = me.getScaleForId(meta.xAxisID);
var pointOptions = me.chart.options.elements.point;
var x, y;
// Compatibility: If the properties are defined with only the old name, use those values
if ((dataset.radius !== undefined) && (dataset.pointRadius === undefined)) {
dataset.pointRadius = dataset.radius;
}
if ((dataset.hitRadius !== undefined) && (dataset.pointHitRadius === undefined)) {
dataset.pointHitRadius = dataset.hitRadius;
}
x = xScale.getPixelForValue(value, index, datasetIndex, me.chart.isCombo);
y = reset ? yScale.getBasePixel() : me.calculatePointY(value, index, datasetIndex, me.chart.isCombo);
// Utility
point._xScale = xScale;
point._yScale = yScale;
point._datasetIndex = datasetIndex;
point._index = index;
// Desired view properties
point._model = {
x: x,
y: y,
skip: custom.skip || isNaN(x) || isNaN(y),
// Appearance
radius: custom.radius || helpers.getValueAtIndexOrDefault(dataset.pointRadius, index, pointOptions.radius),
pointStyle: custom.pointStyle || helpers.getValueAtIndexOrDefault(dataset.pointStyle, index, pointOptions.pointStyle),
backgroundColor: me.getPointBackgroundColor(point, index),
borderColor: me.getPointBorderColor(point, index),
borderWidth: me.getPointBorderWidth(point, index),
tension: meta.dataset._model ? meta.dataset._model.tension : 0,
// Tooltip
hitRadius: custom.hitRadius || helpers.getValueAtIndexOrDefault(dataset.pointHitRadius, index, pointOptions.hitRadius)
};
},
calculatePointY: function(value, index, datasetIndex, isCombo) {
var me = this;
var chart = me.chart;
var meta = me.getMeta();
var yScale = me.getScaleForId(meta.yAxisID);
var sumPos = 0;
var sumNeg = 0;
var i, ds, dsMeta;
if (yScale.options.stacked) {
for (i = 0; i < datasetIndex; i++) {
ds = chart.data.datasets[i];
dsMeta = chart.getDatasetMeta(i);
if (dsMeta.type === 'line' && chart.isDatasetVisible(i)) {
if (ds.data[index] < 0) {
sumNeg += ds.data[index] || 0;
} else {
sumPos += ds.data[index] || 0;
}
}
}
if (value < 0) {
return yScale.getPixelForValue(sumNeg + value);
} else {
return yScale.getPixelForValue(sumPos + value);
}
}
return yScale.getPixelForValue(value);
},
updateBezierControlPoints: function() {
var meta = this.getMeta();
var area = this.chart.chartArea;
var points = meta.data || [];
var i, ilen, point, model, controlPoints;
for (i=0, ilen=points.length; i<ilen; ++i) {
point = points[i];
model = point._model;
controlPoints = helpers.splineCurve(
helpers.previousItem(points, i)._model,
model,
helpers.nextItem(points, i)._model,
meta.dataset._model.tension
);
// Prevent the bezier going outside of the bounds of the graph
model.controlPointPreviousX = Math.max(Math.min(controlPoints.previous.x, area.right), area.left);
model.controlPointPreviousY = Math.max(Math.min(controlPoints.previous.y, area.bottom), area.top);
model.controlPointNextX = Math.max(Math.min(controlPoints.next.x, area.right), area.left);
model.controlPointNextY = Math.max(Math.min(controlPoints.next.y, area.bottom), area.top);
// Now pivot the point for animation
point.pivot();
}
},
draw: function(ease) {
var meta = this.getMeta();
var points = meta.data || [];
var easingDecimal = ease || 1;
var i, ilen;
// Transition Point Locations
for (i=0, ilen=points.length; i<ilen; ++i) {
points[i].transition(easingDecimal);
}
// Transition and Draw the line
if (this.chart.options.showLines) {
meta.dataset.transition(easingDecimal).draw();
}
// Draw the points
for (i=0, ilen=points.length; i<ilen; ++i) {
points[i].draw();
}
},
setHoverStyle: function(point) {
// Point
var dataset = this.chart.data.datasets[point._datasetIndex];
var index = point._index;
var custom = point.custom || {};
var model = point._model;
model.radius = custom.hoverRadius || helpers.getValueAtIndexOrDefault(dataset.pointHoverRadius, index, this.chart.options.elements.point.hoverRadius);
model.backgroundColor = custom.hoverBackgroundColor || helpers.getValueAtIndexOrDefault(dataset.pointHoverBackgroundColor, index, helpers.getHoverColor(model.backgroundColor));
model.borderColor = custom.hoverBorderColor || helpers.getValueAtIndexOrDefault(dataset.pointHoverBorderColor, index, helpers.getHoverColor(model.borderColor));
model.borderWidth = custom.hoverBorderWidth || helpers.getValueAtIndexOrDefault(dataset.pointHoverBorderWidth, index, model.borderWidth);
},
removeHoverStyle: function(point) {
var me = this;
var dataset = me.chart.data.datasets[point._datasetIndex];
var index = point._index;
var custom = point.custom || {};
var model = point._model;
// Compatibility: If the properties are defined with only the old name, use those values
if ((dataset.radius !== undefined) && (dataset.pointRadius === undefined)) {
dataset.pointRadius = dataset.radius;
}
model.radius = custom.radius || helpers.getValueAtIndexOrDefault(dataset.pointRadius, index, me.chart.options.elements.point.radius);
model.backgroundColor = me.getPointBackgroundColor(point, index);
model.borderColor = me.getPointBorderColor(point, index);
model.borderWidth = me.getPointBorderWidth(point, index);
}
});
};

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"use strict";
module.exports = function(Chart) {
var helpers = Chart.helpers;
Chart.defaults.polarArea = {
scale: {
type: "radialLinear",
lineArc: true // so that lines are circular
},
//Boolean - Whether to animate the rotation of the chart
animation: {
animateRotate: true,
animateScale: true
},
aspectRatio: 1,
legendCallback: function(chart) {
var text = [];
text.push('<ul class="' + chart.id + '-legend">');
var data = chart.data;
var datasets = data.datasets;
var labels = data.labels;
if (datasets.length) {
for (var i = 0; i < datasets[0].data.length; ++i) {
text.push('<li><span style="background-color:' + datasets[0].backgroundColor[i] + '">');
if (labels[i]) {
text.push(labels[i]);
}
text.push('</span></li>');
}
}
text.push('</ul>');
return text.join("");
},
legend: {
labels: {
generateLabels: function(chart) {
var data = chart.data;
if (data.labels.length && data.datasets.length) {
return data.labels.map(function(label, i) {
var meta = chart.getDatasetMeta(0);
var ds = data.datasets[0];
var arc = meta.data[i];
var custom = arc.custom || {};
var getValueAtIndexOrDefault = helpers.getValueAtIndexOrDefault;
var arcOpts = chart.options.elements.arc;
var fill = custom.backgroundColor ? custom.backgroundColor : getValueAtIndexOrDefault(ds.backgroundColor, i, arcOpts.backgroundColor);
var stroke = custom.borderColor ? custom.borderColor : getValueAtIndexOrDefault(ds.borderColor, i, arcOpts.borderColor);
var bw = custom.borderWidth ? custom.borderWidth : getValueAtIndexOrDefault(ds.borderWidth, i, arcOpts.borderWidth);
return {
text: label,
fillStyle: fill,
strokeStyle: stroke,
lineWidth: bw,
hidden: isNaN(ds.data[i]) || meta.data[i].hidden,
// Extra data used for toggling the correct item
index: i
};
});
} else {
return [];
}
}
},
onClick: function(e, legendItem) {
var index = legendItem.index;
var chart = this.chart;
var i, ilen, meta;
for (i = 0, ilen = (chart.data.datasets || []).length; i < ilen; ++i) {
meta = chart.getDatasetMeta(i);
meta.data[index].hidden = !meta.data[index].hidden;
}
chart.update();
}
},
// Need to override these to give a nice default
tooltips: {
callbacks: {
title: function() {
return '';
},
label: function(tooltipItem, data) {
return data.labels[tooltipItem.index] + ': ' + tooltipItem.yLabel;
}
}
}
};
Chart.controllers.polarArea = Chart.DatasetController.extend({
dataElementType: Chart.elements.Arc,
linkScales: helpers.noop,
update: function update(reset) {
var _this = this;
var chart = _this.chart;
var chartArea = chart.chartArea;
var meta = this.getMeta();
var opts = chart.options;
var arcOpts = opts.elements.arc;
var minSize = Math.min(chartArea.right - chartArea.left, chartArea.bottom - chartArea.top);
chart.outerRadius = Math.max((minSize - arcOpts.borderWidth / 2) / 2, 0);
chart.innerRadius = Math.max(opts.cutoutPercentage ? (chart.outerRadius / 100) * (opts.cutoutPercentage) : 1, 0);
chart.radiusLength = (chart.outerRadius - chart.innerRadius) / chart.getVisibleDatasetCount();
_this.outerRadius = chart.outerRadius - (chart.radiusLength * _this.index);
_this.innerRadius = _this.outerRadius - chart.radiusLength;
meta.count = _this.countVisibleElements();
helpers.each(meta.data, function(arc, index) {
_this.updateElement(arc, index, reset);
});
},
updateElement: function(arc, index, reset) {
var _this = this;
var chart = _this.chart;
var chartArea = chart.chartArea;
var dataset = _this.getDataset();
var opts = chart.options;
var animationOpts = opts.animation;
var arcOpts = opts.elements.arc;
var custom = arc.custom || {};
var scale = chart.scale;
var getValueAtIndexOrDefault = helpers.getValueAtIndexOrDefault;
var labels = chart.data.labels;
var circumference = _this.calculateCircumference(dataset.data[index]);
var centerX = (chartArea.left + chartArea.right) / 2;
var centerY = (chartArea.top + chartArea.bottom) / 2;
// If there is NaN data before us, we need to calculate the starting angle correctly.
// We could be way more efficient here, but its unlikely that the polar area chart will have a lot of data
var visibleCount = 0;
var meta = _this.getMeta();
for (var i = 0; i < index; ++i) {
if (!isNaN(dataset.data[i]) && !meta.data[i].hidden) {
++visibleCount;
}
}
var distance = arc.hidden? 0 : scale.getDistanceFromCenterForValue(dataset.data[index]);
var startAngle = (-0.5 * Math.PI) + (circumference * visibleCount);
var endAngle = startAngle + (arc.hidden? 0 : circumference);
var resetModel = {
x: centerX,
y: centerY,
innerRadius: 0,
outerRadius: animationOpts.animateScale ? 0 : scale.getDistanceFromCenterForValue(dataset.data[index]),
startAngle: animationOpts.animateRotate ? Math.PI * -0.5 : startAngle,
endAngle: animationOpts.animateRotate ? Math.PI * -0.5 : endAngle,
backgroundColor: custom.backgroundColor ? custom.backgroundColor : getValueAtIndexOrDefault(dataset.backgroundColor, index, arcOpts.backgroundColor),
borderWidth: custom.borderWidth ? custom.borderWidth : getValueAtIndexOrDefault(dataset.borderWidth, index, arcOpts.borderWidth),
borderColor: custom.borderColor ? custom.borderColor : getValueAtIndexOrDefault(dataset.borderColor, index, arcOpts.borderColor),
label: getValueAtIndexOrDefault(labels, index, labels[index])
};
helpers.extend(arc, {
// Utility
_datasetIndex: _this.index,
_index: index,
_scale: scale,
// Desired view properties
_model: reset ? resetModel : {
x: centerX,
y: centerY,
innerRadius: 0,
outerRadius: distance,
startAngle: startAngle,
endAngle: endAngle,
backgroundColor: custom.backgroundColor ? custom.backgroundColor : getValueAtIndexOrDefault(dataset.backgroundColor, index, arcOpts.backgroundColor),
borderWidth: custom.borderWidth ? custom.borderWidth : getValueAtIndexOrDefault(dataset.borderWidth, index, arcOpts.borderWidth),
borderColor: custom.borderColor ? custom.borderColor : getValueAtIndexOrDefault(dataset.borderColor, index, arcOpts.borderColor),
label: getValueAtIndexOrDefault(labels, index, labels[index])
}
});
arc.pivot();
},
removeHoverStyle: function(arc) {
Chart.DatasetController.prototype.removeHoverStyle.call(this, arc, this.chart.options.elements.arc);
},
countVisibleElements: function() {
var dataset = this.getDataset();
var meta = this.getMeta();
var count = 0;
helpers.each(meta.data, function(element, index) {
if (!isNaN(dataset.data[index]) && !element.hidden) {
count++;
}
});
return count;
},
calculateCircumference: function(value) {
var count = this.getMeta().count;
if (count > 0 && !isNaN(value)) {
return (2 * Math.PI) / count;
} else {
return 0;
}
}
});
};

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"use strict";
module.exports = function(Chart) {
var helpers = Chart.helpers;
Chart.defaults.radar = {
scale: {
type: "radialLinear"
},
elements: {
line: {
tension: 0 // no bezier in radar
}
}
};
Chart.controllers.radar = Chart.DatasetController.extend({
datasetElementType: Chart.elements.Line,
dataElementType: Chart.elements.Point,
linkScales: helpers.noop,
addElementAndReset: function(index) {
Chart.DatasetController.prototype.addElementAndReset.call(this, index);
// Make sure bezier control points are updated
this.updateBezierControlPoints();
},
update: function update(reset) {
var meta = this.getMeta();
var line = meta.dataset;
var points = meta.data;
var custom = line.custom || {};
var dataset = this.getDataset();
var lineElementOptions = this.chart.options.elements.line;
var scale = this.chart.scale;
// Compatibility: If the properties are defined with only the old name, use those values
if ((dataset.tension !== undefined) && (dataset.lineTension === undefined)) {
dataset.lineTension = dataset.tension;
}
helpers.extend(meta.dataset, {
// Utility
_datasetIndex: this.index,
// Data
_children: points,
_loop: true,
// Model
_model: {
// Appearance
tension: custom.tension ? custom.tension : helpers.getValueOrDefault(dataset.lineTension, lineElementOptions.tension),
backgroundColor: custom.backgroundColor ? custom.backgroundColor : (dataset.backgroundColor || lineElementOptions.backgroundColor),
borderWidth: custom.borderWidth ? custom.borderWidth : (dataset.borderWidth || lineElementOptions.borderWidth),
borderColor: custom.borderColor ? custom.borderColor : (dataset.borderColor || lineElementOptions.borderColor),
fill: custom.fill ? custom.fill : (dataset.fill !== undefined ? dataset.fill : lineElementOptions.fill),
borderCapStyle: custom.borderCapStyle ? custom.borderCapStyle : (dataset.borderCapStyle || lineElementOptions.borderCapStyle),
borderDash: custom.borderDash ? custom.borderDash : (dataset.borderDash || lineElementOptions.borderDash),
borderDashOffset: custom.borderDashOffset ? custom.borderDashOffset : (dataset.borderDashOffset || lineElementOptions.borderDashOffset),
borderJoinStyle: custom.borderJoinStyle ? custom.borderJoinStyle : (dataset.borderJoinStyle || lineElementOptions.borderJoinStyle),
// Scale
scaleTop: scale.top,
scaleBottom: scale.bottom,
scaleZero: scale.getBasePosition()
}
});
meta.dataset.pivot();
// Update Points
helpers.each(points, function(point, index) {
this.updateElement(point, index, reset);
}, this);
// Update bezier control points
this.updateBezierControlPoints();
},
updateElement: function(point, index, reset) {
var custom = point.custom || {};
var dataset = this.getDataset();
var scale = this.chart.scale;
var pointElementOptions = this.chart.options.elements.point;
var pointPosition = scale.getPointPositionForValue(index, dataset.data[index]);
helpers.extend(point, {
// Utility
_datasetIndex: this.index,
_index: index,
_scale: scale,
// Desired view properties
_model: {
x: reset ? scale.xCenter : pointPosition.x, // value not used in dataset scale, but we want a consistent API between scales
y: reset ? scale.yCenter : pointPosition.y,
// Appearance
tension: custom.tension ? custom.tension : helpers.getValueOrDefault(dataset.tension, this.chart.options.elements.line.tension),
radius: custom.radius ? custom.radius : helpers.getValueAtIndexOrDefault(dataset.pointRadius, index, pointElementOptions.radius),
backgroundColor: custom.backgroundColor ? custom.backgroundColor : helpers.getValueAtIndexOrDefault(dataset.pointBackgroundColor, index, pointElementOptions.backgroundColor),
borderColor: custom.borderColor ? custom.borderColor : helpers.getValueAtIndexOrDefault(dataset.pointBorderColor, index, pointElementOptions.borderColor),
borderWidth: custom.borderWidth ? custom.borderWidth : helpers.getValueAtIndexOrDefault(dataset.pointBorderWidth, index, pointElementOptions.borderWidth),
pointStyle: custom.pointStyle ? custom.pointStyle : helpers.getValueAtIndexOrDefault(dataset.pointStyle, index, pointElementOptions.pointStyle),
// Tooltip
hitRadius: custom.hitRadius ? custom.hitRadius : helpers.getValueAtIndexOrDefault(dataset.hitRadius, index, pointElementOptions.hitRadius)
}
});
point._model.skip = custom.skip ? custom.skip : (isNaN(point._model.x) || isNaN(point._model.y));
},
updateBezierControlPoints: function() {
var chartArea = this.chart.chartArea;
var meta = this.getMeta();
helpers.each(meta.data, function(point, index) {
var model = point._model;
var controlPoints = helpers.splineCurve(
helpers.previousItem(meta.data, index, true)._model,
model,
helpers.nextItem(meta.data, index, true)._model,
model.tension
);
// Prevent the bezier going outside of the bounds of the graph
model.controlPointPreviousX = Math.max(Math.min(controlPoints.previous.x, chartArea.right), chartArea.left);
model.controlPointPreviousY = Math.max(Math.min(controlPoints.previous.y, chartArea.bottom), chartArea.top);
model.controlPointNextX = Math.max(Math.min(controlPoints.next.x, chartArea.right), chartArea.left);
model.controlPointNextY = Math.max(Math.min(controlPoints.next.y, chartArea.bottom), chartArea.top);
// Now pivot the point for animation
point.pivot();
}, this);
},
draw: function(ease) {
var meta = this.getMeta();
var easingDecimal = ease || 1;
// Transition Point Locations
helpers.each(meta.data, function(point, index) {
point.transition(easingDecimal);
});
// Transition and Draw the line
meta.dataset.transition(easingDecimal).draw();
// Draw the points
helpers.each(meta.data, function(point) {
point.draw();
});
},
setHoverStyle: function(point) {
// Point
var dataset = this.chart.data.datasets[point._datasetIndex];
var custom = point.custom || {};
var index = point._index;
var model = point._model;
model.radius = custom.hoverRadius ? custom.hoverRadius : helpers.getValueAtIndexOrDefault(dataset.pointHoverRadius, index, this.chart.options.elements.point.hoverRadius);
model.backgroundColor = custom.hoverBackgroundColor ? custom.hoverBackgroundColor : helpers.getValueAtIndexOrDefault(dataset.pointHoverBackgroundColor, index, helpers.getHoverColor(model.backgroundColor));
model.borderColor = custom.hoverBorderColor ? custom.hoverBorderColor : helpers.getValueAtIndexOrDefault(dataset.pointHoverBorderColor, index, helpers.getHoverColor(model.borderColor));
model.borderWidth = custom.hoverBorderWidth ? custom.hoverBorderWidth : helpers.getValueAtIndexOrDefault(dataset.pointHoverBorderWidth, index, model.borderWidth);
},
removeHoverStyle: function(point) {
var dataset = this.chart.data.datasets[point._datasetIndex];
var custom = point.custom || {};
var index = point._index;
var model = point._model;
var pointElementOptions = this.chart.options.elements.point;
model.radius = custom.radius ? custom.radius : helpers.getValueAtIndexOrDefault(dataset.radius, index, pointElementOptions.radius);
model.backgroundColor = custom.backgroundColor ? custom.backgroundColor : helpers.getValueAtIndexOrDefault(dataset.pointBackgroundColor, index, pointElementOptions.backgroundColor);
model.borderColor = custom.borderColor ? custom.borderColor : helpers.getValueAtIndexOrDefault(dataset.pointBorderColor, index, pointElementOptions.borderColor);
model.borderWidth = custom.borderWidth ? custom.borderWidth : helpers.getValueAtIndexOrDefault(dataset.pointBorderWidth, index, pointElementOptions.borderWidth);
}
});
};

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/*global window: false */
"use strict";
module.exports = function(Chart) {
var helpers = Chart.helpers;
Chart.defaults.global.animation = {
duration: 1000,
easing: "easeOutQuart",
onProgress: helpers.noop,
onComplete: helpers.noop
};
Chart.Animation = Chart.Element.extend({
currentStep: null, // the current animation step
numSteps: 60, // default number of steps
easing: "", // the easing to use for this animation
render: null, // render function used by the animation service
onAnimationProgress: null, // user specified callback to fire on each step of the animation
onAnimationComplete: null // user specified callback to fire when the animation finishes
});
Chart.animationService = {
frameDuration: 17,
animations: [],
dropFrames: 0,
request: null,
addAnimation: function(chartInstance, animationObject, duration, lazy) {
if (!lazy) {
chartInstance.animating = true;
}
for (var index = 0; index < this.animations.length; ++index) {
if (this.animations[index].chartInstance === chartInstance) {
// replacing an in progress animation
this.animations[index].animationObject = animationObject;
return;
}
}
this.animations.push({
chartInstance: chartInstance,
animationObject: animationObject
});
// If there are no animations queued, manually kickstart a digest, for lack of a better word
if (this.animations.length === 1) {
this.requestAnimationFrame();
}
},
// Cancel the animation for a given chart instance
cancelAnimation: function(chartInstance) {
var index = helpers.findIndex(this.animations, function(animationWrapper) {
return animationWrapper.chartInstance === chartInstance;
});
if (index !== -1) {
this.animations.splice(index, 1);
chartInstance.animating = false;
}
},
requestAnimationFrame: function() {
var me = this;
if (me.request === null) {
// Skip animation frame requests until the active one is executed.
// This can happen when processing mouse events, e.g. 'mousemove'
// and 'mouseout' events will trigger multiple renders.
me.request = helpers.requestAnimFrame.call(window, function() {
me.request = null;
me.startDigest();
});
}
},
startDigest: function() {
var startTime = Date.now();
var framesToDrop = 0;
if (this.dropFrames > 1) {
framesToDrop = Math.floor(this.dropFrames);
this.dropFrames = this.dropFrames % 1;
}
var i = 0;
while (i < this.animations.length) {
if (this.animations[i].animationObject.currentStep === null) {
this.animations[i].animationObject.currentStep = 0;
}
this.animations[i].animationObject.currentStep += 1 + framesToDrop;
if (this.animations[i].animationObject.currentStep > this.animations[i].animationObject.numSteps) {
this.animations[i].animationObject.currentStep = this.animations[i].animationObject.numSteps;
}
this.animations[i].animationObject.render(this.animations[i].chartInstance, this.animations[i].animationObject);
if (this.animations[i].animationObject.onAnimationProgress && this.animations[i].animationObject.onAnimationProgress.call) {
this.animations[i].animationObject.onAnimationProgress.call(this.animations[i].chartInstance, this.animations[i]);
}
if (this.animations[i].animationObject.currentStep === this.animations[i].animationObject.numSteps) {
if (this.animations[i].animationObject.onAnimationComplete && this.animations[i].animationObject.onAnimationComplete.call) {
this.animations[i].animationObject.onAnimationComplete.call(this.animations[i].chartInstance, this.animations[i]);
}
// executed the last frame. Remove the animation.
this.animations[i].chartInstance.animating = false;
this.animations.splice(i, 1);
} else {
++i;
}
}
var endTime = Date.now();
var dropFrames = (endTime - startTime) / this.frameDuration;
this.dropFrames += dropFrames;
// Do we have more stuff to animate?
if (this.animations.length > 0) {
this.requestAnimationFrame();
}
}
};
};

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"use strict";
module.exports = function(Chart) {
var helpers = Chart.helpers;
//Create a dictionary of chart types, to allow for extension of existing types
Chart.types = {};
//Store a reference to each instance - allowing us to globally resize chart instances on window resize.
//Destroy method on the chart will remove the instance of the chart from this reference.
Chart.instances = {};
// Controllers available for dataset visualization eg. bar, line, slice, etc.
Chart.controllers = {};
// The main controller of a chart
Chart.Controller = function(instance) {
this.chart = instance;
this.config = instance.config;
this.options = this.config.options = helpers.configMerge(Chart.defaults.global, Chart.defaults[this.config.type], this.config.options || {});
this.id = helpers.uid();
Object.defineProperty(this, 'data', {
get: function() {
return this.config.data;
}
});
//Add the chart instance to the global namespace
Chart.instances[this.id] = this;
if (this.options.responsive) {
// Silent resize before chart draws
this.resize(true);
}
this.initialize();
return this;
};
helpers.extend(Chart.Controller.prototype, {
initialize: function initialize() {
// Before init plugin notification
Chart.pluginService.notifyPlugins('beforeInit', [this]);
this.bindEvents();
// Make sure controllers are built first so that each dataset is bound to an axis before the scales
// are built
this.ensureScalesHaveIDs();
this.buildOrUpdateControllers();
this.buildScales();
this.buildSurroundingItems();
this.updateLayout();
this.resetElements();
this.initToolTip();
this.update();
// After init plugin notification
Chart.pluginService.notifyPlugins('afterInit', [this]);
return this;
},
clear: function clear() {
helpers.clear(this.chart);
return this;
},
stop: function stop() {
// Stops any current animation loop occuring
Chart.animationService.cancelAnimation(this);
return this;
},
resize: function resize(silent) {
var canvas = this.chart.canvas;
var newWidth = helpers.getMaximumWidth(this.chart.canvas);
var newHeight = (this.options.maintainAspectRatio && isNaN(this.chart.aspectRatio) === false && isFinite(this.chart.aspectRatio) && this.chart.aspectRatio !== 0) ? newWidth / this.chart.aspectRatio : helpers.getMaximumHeight(this.chart.canvas);
var sizeChanged = this.chart.width !== newWidth || this.chart.height !== newHeight;
if (!sizeChanged)
return this;
canvas.width = this.chart.width = newWidth;
canvas.height = this.chart.height = newHeight;
helpers.retinaScale(this.chart);
if (!silent) {
this.stop();
this.update(this.options.responsiveAnimationDuration);
}
return this;
},
ensureScalesHaveIDs: function ensureScalesHaveIDs() {
var options = this.options;
var scalesOptions = options.scales || {};
var scaleOptions = options.scale;
helpers.each(scalesOptions.xAxes, function(xAxisOptions, index) {
xAxisOptions.id = xAxisOptions.id || ('x-axis-' + index);
});
helpers.each(scalesOptions.yAxes, function(yAxisOptions, index) {
yAxisOptions.id = yAxisOptions.id || ('y-axis-' + index);
});
if (scaleOptions) {
scaleOptions.id = scaleOptions.id || 'scale';
}
},
/**
* Builds a map of scale ID to scale object for future lookup.
*/
buildScales: function buildScales() {
var me = this;
var options = me.options;
var scales = me.scales = {};
var items = [];
if (options.scales) {
items = items.concat(
(options.scales.xAxes || []).map(function(xAxisOptions) {
return { options: xAxisOptions, dtype: 'category' }; }),
(options.scales.yAxes || []).map(function(yAxisOptions) {
return { options: yAxisOptions, dtype: 'linear' }; }));
}
if (options.scale) {
items.push({ options: options.scale, dtype: 'radialLinear', isDefault: true });
}
helpers.each(items, function(item, index) {
var scaleOptions = item.options;
var scaleType = helpers.getValueOrDefault(scaleOptions.type, item.dtype);
var scaleClass = Chart.scaleService.getScaleConstructor(scaleType);
if (!scaleClass) {
return;
}
var scale = new scaleClass({
id: scaleOptions.id,
options: scaleOptions,
ctx: me.chart.ctx,
chart: me
});
scales[scale.id] = scale;
// TODO(SB): I think we should be able to remove this custom case (options.scale)
// and consider it as a regular scale part of the "scales"" map only! This would
// make the logic easier and remove some useless? custom code.
if (item.isDefault) {
me.scale = scale;
}
});
Chart.scaleService.addScalesToLayout(this);
},
buildSurroundingItems: function() {
if (this.options.title) {
this.titleBlock = new Chart.Title({
ctx: this.chart.ctx,
options: this.options.title,
chart: this
});
Chart.layoutService.addBox(this, this.titleBlock);
}
if (this.options.legend) {
this.legend = new Chart.Legend({
ctx: this.chart.ctx,
options: this.options.legend,
chart: this
});
Chart.layoutService.addBox(this, this.legend);
}
},
updateLayout: function() {
Chart.layoutService.update(this, this.chart.width, this.chart.height);
},
buildOrUpdateControllers: function buildOrUpdateControllers() {
var types = [];
var newControllers = [];
helpers.each(this.data.datasets, function(dataset, datasetIndex) {
var meta = this.getDatasetMeta(datasetIndex);
if (!meta.type) {
meta.type = dataset.type || this.config.type;
}
types.push(meta.type);
if (meta.controller) {
meta.controller.updateIndex(datasetIndex);
} else {
meta.controller = new Chart.controllers[meta.type](this, datasetIndex);
newControllers.push(meta.controller);
}
}, this);
if (types.length > 1) {
for (var i = 1; i < types.length; i++) {
if (types[i] !== types[i - 1]) {
this.isCombo = true;
break;
}
}
}
return newControllers;
},
resetElements: function resetElements() {
helpers.each(this.data.datasets, function(dataset, datasetIndex) {
this.getDatasetMeta(datasetIndex).controller.reset();
}, this);
},
update: function update(animationDuration, lazy) {
Chart.pluginService.notifyPlugins('beforeUpdate', [this]);
// In case the entire data object changed
this.tooltip._data = this.data;
// Make sure dataset controllers are updated and new controllers are reset
var newControllers = this.buildOrUpdateControllers();
// Make sure all dataset controllers have correct meta data counts
helpers.each(this.data.datasets, function(dataset, datasetIndex) {
this.getDatasetMeta(datasetIndex).controller.buildOrUpdateElements();
}, this);
Chart.layoutService.update(this, this.chart.width, this.chart.height);
// Apply changes to the dataets that require the scales to have been calculated i.e BorderColor chages
Chart.pluginService.notifyPlugins('afterScaleUpdate', [this]);
// Can only reset the new controllers after the scales have been updated
helpers.each(newControllers, function(controller) {
controller.reset();
});
// This will loop through any data and do the appropriate element update for the type
helpers.each(this.data.datasets, function(dataset, datasetIndex) {
this.getDatasetMeta(datasetIndex).controller.update();
}, this);
// Do this before render so that any plugins that need final scale updates can use it
Chart.pluginService.notifyPlugins('afterUpdate', [this]);
this.render(animationDuration, lazy);
},
render: function render(duration, lazy) {
Chart.pluginService.notifyPlugins('beforeRender', [this]);
var animationOptions = this.options.animation;
if (animationOptions && ((typeof duration !== 'undefined' && duration !== 0) || (typeof duration === 'undefined' && animationOptions.duration !== 0))) {
var animation = new Chart.Animation();
animation.numSteps = (duration || animationOptions.duration) / 16.66; //60 fps
animation.easing = animationOptions.easing;
// render function
animation.render = function(chartInstance, animationObject) {
var easingFunction = helpers.easingEffects[animationObject.easing];
var stepDecimal = animationObject.currentStep / animationObject.numSteps;
var easeDecimal = easingFunction(stepDecimal);
chartInstance.draw(easeDecimal, stepDecimal, animationObject.currentStep);
};
// user events
animation.onAnimationProgress = animationOptions.onProgress;
animation.onAnimationComplete = animationOptions.onComplete;
Chart.animationService.addAnimation(this, animation, duration, lazy);
} else {
this.draw();
if (animationOptions && animationOptions.onComplete && animationOptions.onComplete.call) {
animationOptions.onComplete.call(this);
}
}
return this;
},
draw: function(ease) {
var easingDecimal = ease || 1;
this.clear();
Chart.pluginService.notifyPlugins('beforeDraw', [this, easingDecimal]);
// Draw all the scales
helpers.each(this.boxes, function(box) {
box.draw(this.chartArea);
}, this);
if (this.scale) {
this.scale.draw();
}
// Clip out the chart area so that anything outside does not draw. This is necessary for zoom and pan to function
var context = this.chart.ctx;
context.save();
context.beginPath();
context.rect(this.chartArea.left, this.chartArea.top, this.chartArea.right - this.chartArea.left, this.chartArea.bottom - this.chartArea.top);
context.clip();
// Draw each dataset via its respective controller (reversed to support proper line stacking)
helpers.each(this.data.datasets, function(dataset, datasetIndex) {
if (this.isDatasetVisible(datasetIndex)) {
this.getDatasetMeta(datasetIndex).controller.draw(ease);
}
}, this, true);
// Restore from the clipping operation
context.restore();
// Finally draw the tooltip
this.tooltip.transition(easingDecimal).draw();
Chart.pluginService.notifyPlugins('afterDraw', [this, easingDecimal]);
},
// Get the single element that was clicked on
// @return : An object containing the dataset index and element index of the matching element. Also contains the rectangle that was draw
getElementAtEvent: function(e) {
var eventPosition = helpers.getRelativePosition(e, this.chart);
var elementsArray = [];
helpers.each(this.data.datasets, function(dataset, datasetIndex) {
if (this.isDatasetVisible(datasetIndex)) {
var meta = this.getDatasetMeta(datasetIndex);
helpers.each(meta.data, function(element, index) {
if (element.inRange(eventPosition.x, eventPosition.y)) {
elementsArray.push(element);
return elementsArray;
}
});
}
}, this);
return elementsArray;
},
getElementsAtEvent: function(e) {
var eventPosition = helpers.getRelativePosition(e, this.chart);
var elementsArray = [];
var found = (function() {
if (this.data.datasets) {
for (var i = 0; i < this.data.datasets.length; i++) {
var meta = this.getDatasetMeta(i);
if (this.isDatasetVisible(i)) {
for (var j = 0; j < meta.data.length; j++) {
if (meta.data[j].inRange(eventPosition.x, eventPosition.y)) {
return meta.data[j];
}
}
}
}
}
}).call(this);
if (!found) {
return elementsArray;
}
helpers.each(this.data.datasets, function(dataset, datasetIndex) {
if (this.isDatasetVisible(datasetIndex)) {
var meta = this.getDatasetMeta(datasetIndex);
elementsArray.push(meta.data[found._index]);
}
}, this);
return elementsArray;
},
getElementsAtEventForMode: function(e, mode) {
var me = this;
switch (mode) {
case 'single':
return me.getElementAtEvent(e);
case 'label':
return me.getElementsAtEvent(e);
case 'dataset':
return me.getDatasetAtEvent(e);
default:
return e;
}
},
getDatasetAtEvent: function(e) {
var elementsArray = this.getElementAtEvent(e);
if (elementsArray.length > 0) {
elementsArray = this.getDatasetMeta(elementsArray[0]._datasetIndex).data;
}
return elementsArray;
},
getDatasetMeta: function(datasetIndex) {
var dataset = this.data.datasets[datasetIndex];
if (!dataset._meta) {
dataset._meta = {};
}
var meta = dataset._meta[this.id];
if (!meta) {
meta = dataset._meta[this.id] = {
type: null,
data: [],
dataset: null,
controller: null,
hidden: null, // See isDatasetVisible() comment
xAxisID: null,
yAxisID: null
};
}
return meta;
},
getVisibleDatasetCount: function() {
var count = 0;
for (var i = 0, ilen = this.data.datasets.length; i<ilen; ++i) {
if (this.isDatasetVisible(i)) {
count++;
}
}
return count;
},
isDatasetVisible: function(datasetIndex) {
var meta = this.getDatasetMeta(datasetIndex);
// meta.hidden is a per chart dataset hidden flag override with 3 states: if true or false,
// the dataset.hidden value is ignored, else if null, the dataset hidden state is returned.
return typeof meta.hidden === 'boolean'? !meta.hidden : !this.data.datasets[datasetIndex].hidden;
},
generateLegend: function generateLegend() {
return this.options.legendCallback(this);
},
destroy: function destroy() {
this.clear();
helpers.unbindEvents(this, this.events);
helpers.removeResizeListener(this.chart.canvas.parentNode);
// Reset canvas height/width attributes
var canvas = this.chart.canvas;
canvas.width = this.chart.width;
canvas.height = this.chart.height;
// if we scaled the canvas in response to a devicePixelRatio !== 1, we need to undo that transform here
if (this.chart.originalDevicePixelRatio !== undefined) {
this.chart.ctx.scale(1 / this.chart.originalDevicePixelRatio, 1 / this.chart.originalDevicePixelRatio);
}
// Reset to the old style since it may have been changed by the device pixel ratio changes
canvas.style.width = this.chart.originalCanvasStyleWidth;
canvas.style.height = this.chart.originalCanvasStyleHeight;
Chart.pluginService.notifyPlugins('destroy', [this]);
delete Chart.instances[this.id];
},
toBase64Image: function toBase64Image() {
return this.chart.canvas.toDataURL.apply(this.chart.canvas, arguments);
},
initToolTip: function initToolTip() {
this.tooltip = new Chart.Tooltip({
_chart: this.chart,
_chartInstance: this,
_data: this.data,
_options: this.options
}, this);
},
bindEvents: function bindEvents() {
helpers.bindEvents(this, this.options.events, function(evt) {
this.eventHandler(evt);
});
},
updateHoverStyle: function(elements, mode, enabled) {
var method = enabled? 'setHoverStyle' : 'removeHoverStyle';
var element, i, ilen;
switch (mode) {
case 'single':
elements = [ elements[0] ];
break;
case 'label':
case 'dataset':
// elements = elements;
break;
default:
// unsupported mode
return;
}
for (i=0, ilen=elements.length; i<ilen; ++i) {
element = elements[i];
if (element) {
this.getDatasetMeta(element._datasetIndex).controller[method](element);
}
}
},
eventHandler: function eventHandler(e) {
var me = this;
var tooltip = me.tooltip;
var options = me.options || {};
var hoverOptions = options.hover;
var tooltipsOptions = options.tooltips;
me.lastActive = me.lastActive || [];
me.lastTooltipActive = me.lastTooltipActive || [];
// Find Active Elements for hover and tooltips
if (e.type === 'mouseout') {
me.active = [];
me.tooltipActive = [];
} else {
me.active = me.getElementsAtEventForMode(e, hoverOptions.mode);
me.tooltipActive = me.getElementsAtEventForMode(e, tooltipsOptions.mode);
}
// On Hover hook
if (hoverOptions.onHover) {
hoverOptions.onHover.call(me, me.active);
}
if (e.type === 'mouseup' || e.type === 'click') {
if (options.onClick) {
options.onClick.call(me, e, me.active);
}
if (me.legend && me.legend.handleEvent) {
me.legend.handleEvent(e);
}
}
// Remove styling for last active (even if it may still be active)
if (me.lastActive.length) {
me.updateHoverStyle(me.lastActive, hoverOptions.mode, false);
}
// Built in hover styling
if (me.active.length && hoverOptions.mode) {
me.updateHoverStyle(me.active, hoverOptions.mode, true);
}
// Built in Tooltips
if (tooltipsOptions.enabled || tooltipsOptions.custom) {
tooltip.initialize();
tooltip._active = me.tooltipActive;
tooltip.update(true);
}
// Hover animations
tooltip.pivot();
if (!me.animating) {
// If entering, leaving, or changing elements, animate the change via pivot
if (!helpers.arrayEquals(me.active, me.lastActive) ||
!helpers.arrayEquals(me.tooltipActive, me.lastTooltipActive)) {
me.stop();
if (tooltipsOptions.enabled || tooltipsOptions.custom) {
tooltip.update(true);
}
// We only need to render at this point. Updating will cause scales to be
// recomputed generating flicker & using more memory than necessary.
me.render(hoverOptions.animationDuration, true);
}
}
// Remember Last Actives
me.lastActive = me.active;
me.lastTooltipActive = me.tooltipActive;
return me;
}
});
};

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"use strict";
module.exports = function(Chart) {
var helpers = Chart.helpers;
var noop = helpers.noop;
// Base class for all dataset controllers (line, bar, etc)
Chart.DatasetController = function(chart, datasetIndex) {
this.initialize.call(this, chart, datasetIndex);
};
helpers.extend(Chart.DatasetController.prototype, {
/**
* Element type used to generate a meta dataset (e.g. Chart.element.Line).
* @type {Chart.core.element}
*/
datasetElementType: null,
/**
* Element type used to generate a meta data (e.g. Chart.element.Point).
* @type {Chart.core.element}
*/
dataElementType: null,
initialize: function(chart, datasetIndex) {
this.chart = chart;
this.index = datasetIndex;
this.linkScales();
this.addElements();
},
updateIndex: function(datasetIndex) {
this.index = datasetIndex;
},
linkScales: function() {
var meta = this.getMeta();
var dataset = this.getDataset();
if (meta.xAxisID === null) {
meta.xAxisID = dataset.xAxisID || this.chart.options.scales.xAxes[0].id;
}
if (meta.yAxisID === null) {
meta.yAxisID = dataset.yAxisID || this.chart.options.scales.yAxes[0].id;
}
},
getDataset: function() {
return this.chart.data.datasets[this.index];
},
getMeta: function() {
return this.chart.getDatasetMeta(this.index);
},
getScaleForId: function(scaleID) {
return this.chart.scales[scaleID];
},
reset: function() {
this.update(true);
},
createMetaDataset: function() {
var me = this;
var type = me.datasetElementType;
return type && new type({
_chart: me.chart.chart,
_datasetIndex: me.index
});
},
createMetaData: function(index) {
var me = this;
var type = me.dataElementType;
return type && new type({
_chart: me.chart.chart,
_datasetIndex: me.index,
_index: index
});
},
addElements: function() {
var me = this;
var meta = me.getMeta();
var data = me.getDataset().data || [];
var metaData = meta.data;
var i, ilen;
for (i=0, ilen=data.length; i<ilen; ++i) {
metaData[i] = metaData[i] || me.createMetaData(meta, i);
}
meta.dataset = meta.dataset || me.createMetaDataset();
},
addElementAndReset: function(index) {
var me = this;
var element = me.createMetaData(index);
me.getMeta().data.splice(index, 0, element);
me.updateElement(element, index, true);
},
buildOrUpdateElements: function buildOrUpdateElements() {
// Handle the number of data points changing
var meta = this.getMeta(),
md = meta.data,
numData = this.getDataset().data.length,
numMetaData = md.length;
// Make sure that we handle number of datapoints changing
if (numData < numMetaData) {
// Remove excess bars for data points that have been removed
md.splice(numData, numMetaData - numData);
} else if (numData > numMetaData) {
// Add new elements
for (var index = numMetaData; index < numData; ++index) {
this.addElementAndReset(index);
}
}
},
update: noop,
draw: function(ease) {
var easingDecimal = ease || 1;
helpers.each(this.getMeta().data, function(element, index) {
element.transition(easingDecimal).draw();
});
},
removeHoverStyle: function(element, elementOpts) {
var dataset = this.chart.data.datasets[element._datasetIndex],
index = element._index,
custom = element.custom || {},
valueOrDefault = helpers.getValueAtIndexOrDefault,
color = helpers.color,
model = element._model;
model.backgroundColor = custom.backgroundColor ? custom.backgroundColor : valueOrDefault(dataset.backgroundColor, index, elementOpts.backgroundColor);
model.borderColor = custom.borderColor ? custom.borderColor : valueOrDefault(dataset.borderColor, index, elementOpts.borderColor);
model.borderWidth = custom.borderWidth ? custom.borderWidth : valueOrDefault(dataset.borderWidth, index, elementOpts.borderWidth);
},
setHoverStyle: function(element) {
var dataset = this.chart.data.datasets[element._datasetIndex],
index = element._index,
custom = element.custom || {},
valueOrDefault = helpers.getValueAtIndexOrDefault,
color = helpers.color,
getHoverColor = helpers.getHoverColor,
model = element._model;
model.backgroundColor = custom.hoverBackgroundColor ? custom.hoverBackgroundColor : valueOrDefault(dataset.hoverBackgroundColor, index, getHoverColor(model.backgroundColor));
model.borderColor = custom.hoverBorderColor ? custom.hoverBorderColor : valueOrDefault(dataset.hoverBorderColor, index, getHoverColor(model.borderColor));
model.borderWidth = custom.hoverBorderWidth ? custom.hoverBorderWidth : valueOrDefault(dataset.hoverBorderWidth, index, model.borderWidth);
}
});
Chart.DatasetController.extend = helpers.inherits;
};

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"use strict";
module.exports = function(Chart) {
var helpers = Chart.helpers;
Chart.elements = {};
Chart.Element = function(configuration) {
helpers.extend(this, configuration);
this.initialize.apply(this, arguments);
};
helpers.extend(Chart.Element.prototype, {
initialize: function() {
this.hidden = false;
},
pivot: function() {
if (!this._view) {
this._view = helpers.clone(this._model);
}
this._start = helpers.clone(this._view);
return this;
},
transition: function(ease) {
if (!this._view) {
this._view = helpers.clone(this._model);
}
// No animation -> No Transition
if (ease === 1) {
this._view = this._model;
this._start = null;
return this;
}
if (!this._start) {
this.pivot();
}
helpers.each(this._model, function(value, key) {
if (key[0] === '_') {
// Only non-underscored properties
}
// Init if doesn't exist
else if (!this._view.hasOwnProperty(key)) {
if (typeof value === 'number' && !isNaN(this._view[key])) {
this._view[key] = value * ease;
} else {
this._view[key] = value;
}
}
// No unnecessary computations
else if (value === this._view[key]) {
// It's the same! Woohoo!
}
// Color transitions if possible
else if (typeof value === 'string') {
try {
var color = helpers.color(this._model[key]).mix(helpers.color(this._start[key]), ease);
this._view[key] = color.rgbString();
} catch (err) {
this._view[key] = value;
}
}
// Number transitions
else if (typeof value === 'number') {
var startVal = this._start[key] !== undefined && isNaN(this._start[key]) === false ? this._start[key] : 0;
this._view[key] = ((this._model[key] - startVal) * ease) + startVal;
}
// Everything else
else {
this._view[key] = value;
}
}, this);
return this;
},
tooltipPosition: function() {
return {
x: this._model.x,
y: this._model.y
};
},
hasValue: function() {
return helpers.isNumber(this._model.x) && helpers.isNumber(this._model.y);
}
});
Chart.Element.extend = helpers.inherits;
};

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public/vendors/Chart.js/src/core/core.helpers.js vendored Normal file
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/*global window: false */
/*global document: false */
"use strict";
var color = require('chartjs-color');
module.exports = function(Chart) {
//Global Chart helpers object for utility methods and classes
var helpers = Chart.helpers = {};
//-- Basic js utility methods
helpers.each = function(loopable, callback, self, reverse) {
// Check to see if null or undefined firstly.
var i, len;
if (helpers.isArray(loopable)) {
len = loopable.length;
if (reverse) {
for (i = len - 1; i >= 0; i--) {
callback.call(self, loopable[i], i);
}
} else {
for (i = 0; i < len; i++) {
callback.call(self, loopable[i], i);
}
}
} else if (typeof loopable === 'object') {
var keys = Object.keys(loopable);
len = keys.length;
for (i = 0; i < len; i++) {
callback.call(self, loopable[keys[i]], keys[i]);
}
}
};
helpers.clone = function(obj) {
var objClone = {};
helpers.each(obj, function(value, key) {
if (helpers.isArray(value)) {
objClone[key] = value.slice(0);
} else if (typeof value === 'object' && value !== null) {
objClone[key] = helpers.clone(value);
} else {
objClone[key] = value;
}
});
return objClone;
};
helpers.extend = function(base) {
var len = arguments.length;
var additionalArgs = [];
for (var i = 1; i < len; i++) {
additionalArgs.push(arguments[i]);
}
helpers.each(additionalArgs, function(extensionObject) {
helpers.each(extensionObject, function(value, key) {
base[key] = value;
});
});
return base;
};
// Need a special merge function to chart configs since they are now grouped
helpers.configMerge = function(_base) {
var base = helpers.clone(_base);
helpers.each(Array.prototype.slice.call(arguments, 1), function(extension) {
helpers.each(extension, function(value, key) {
if (key === 'scales') {
// Scale config merging is complex. Add out own function here for that
base[key] = helpers.scaleMerge(base.hasOwnProperty(key) ? base[key] : {}, value);
} else if (key === 'scale') {
// Used in polar area & radar charts since there is only one scale
base[key] = helpers.configMerge(base.hasOwnProperty(key) ? base[key] : {}, Chart.scaleService.getScaleDefaults(value.type), value);
} else if (base.hasOwnProperty(key) && helpers.isArray(base[key]) && helpers.isArray(value)) {
// In this case we have an array of objects replacing another array. Rather than doing a strict replace,
// merge. This allows easy scale option merging
var baseArray = base[key];
helpers.each(value, function(valueObj, index) {
if (index < baseArray.length) {
if (typeof baseArray[index] === 'object' && baseArray[index] !== null && typeof valueObj === 'object' && valueObj !== null) {
// Two objects are coming together. Do a merge of them.
baseArray[index] = helpers.configMerge(baseArray[index], valueObj);
} else {
// Just overwrite in this case since there is nothing to merge
baseArray[index] = valueObj;
}
} else {
baseArray.push(valueObj); // nothing to merge
}
});
} else if (base.hasOwnProperty(key) && typeof base[key] === "object" && base[key] !== null && typeof value === "object") {
// If we are overwriting an object with an object, do a merge of the properties.
base[key] = helpers.configMerge(base[key], value);
} else {
// can just overwrite the value in this case
base[key] = value;
}
});
});
return base;
};
helpers.extendDeep = function(_base) {
return _extendDeep.apply(this, arguments);
function _extendDeep(dst) {
helpers.each(arguments, function(obj) {
if (obj !== dst) {
helpers.each(obj, function(value, key) {
if (dst[key] && dst[key].constructor && dst[key].constructor === Object) {
_extendDeep(dst[key], value);
} else {
dst[key] = value;
}
});
}
});
return dst;
}
};
helpers.scaleMerge = function(_base, extension) {
var base = helpers.clone(_base);
helpers.each(extension, function(value, key) {
if (key === 'xAxes' || key === 'yAxes') {
// These properties are arrays of items
if (base.hasOwnProperty(key)) {
helpers.each(value, function(valueObj, index) {
var axisType = helpers.getValueOrDefault(valueObj.type, key === 'xAxes' ? 'category' : 'linear');
var axisDefaults = Chart.scaleService.getScaleDefaults(axisType);
if (index >= base[key].length || !base[key][index].type) {
base[key].push(helpers.configMerge(axisDefaults, valueObj));
} else if (valueObj.type && valueObj.type !== base[key][index].type) {
// Type changed. Bring in the new defaults before we bring in valueObj so that valueObj can override the correct scale defaults
base[key][index] = helpers.configMerge(base[key][index], axisDefaults, valueObj);
} else {
// Type is the same
base[key][index] = helpers.configMerge(base[key][index], valueObj);
}
});
} else {
base[key] = [];
helpers.each(value, function(valueObj) {
var axisType = helpers.getValueOrDefault(valueObj.type, key === 'xAxes' ? 'category' : 'linear');
base[key].push(helpers.configMerge(Chart.scaleService.getScaleDefaults(axisType), valueObj));
});
}
} else if (base.hasOwnProperty(key) && typeof base[key] === "object" && base[key] !== null && typeof value === "object") {
// If we are overwriting an object with an object, do a merge of the properties.
base[key] = helpers.configMerge(base[key], value);
} else {
// can just overwrite the value in this case
base[key] = value;
}
});
return base;
};
helpers.getValueAtIndexOrDefault = function(value, index, defaultValue) {
if (value === undefined || value === null) {
return defaultValue;
}
if (helpers.isArray(value)) {
return index < value.length ? value[index] : defaultValue;
}
return value;
};
helpers.getValueOrDefault = function(value, defaultValue) {
return value === undefined ? defaultValue : value;
};
helpers.indexOf = function(arrayToSearch, item) {
if (Array.prototype.indexOf) {
return arrayToSearch.indexOf(item);
} else {
for (var i = 0; i < arrayToSearch.length; i++) {
if (arrayToSearch[i] === item)
return i;
}
return -1;
}
};
helpers.where = function(collection, filterCallback) {
if (helpers.isArray(collection) && Array.prototype.filter) {
return collection.filter(filterCallback);
} else {
var filtered = [];
helpers.each(collection, function(item) {
if (filterCallback(item)) {
filtered.push(item);
}
});
return filtered;
}
};
helpers.findIndex = function(arrayToSearch, callback, thisArg) {
var index = -1;
if (Array.prototype.findIndex) {
index = arrayToSearch.findIndex(callback, thisArg);
} else {
for (var i = 0; i < arrayToSearch.length; ++i) {
thisArg = thisArg !== undefined ? thisArg : arrayToSearch;
if (callback.call(thisArg, arrayToSearch[i], i, arrayToSearch)) {
index = i;
break;
}
}
}
return index;
};
helpers.findNextWhere = function(arrayToSearch, filterCallback, startIndex) {
// Default to start of the array
if (startIndex === undefined || startIndex === null) {
startIndex = -1;
}
for (var i = startIndex + 1; i < arrayToSearch.length; i++) {
var currentItem = arrayToSearch[i];
if (filterCallback(currentItem)) {
return currentItem;
}
}
};
helpers.findPreviousWhere = function(arrayToSearch, filterCallback, startIndex) {
// Default to end of the array
if (startIndex === undefined || startIndex === null) {
startIndex = arrayToSearch.length;
}
for (var i = startIndex - 1; i >= 0; i--) {
var currentItem = arrayToSearch[i];
if (filterCallback(currentItem)) {
return currentItem;
}
}
};
helpers.inherits = function(extensions) {
//Basic javascript inheritance based on the model created in Backbone.js
var parent = this;
var ChartElement = (extensions && extensions.hasOwnProperty("constructor")) ? extensions.constructor : function() {
return parent.apply(this, arguments);
};
var Surrogate = function() {
this.constructor = ChartElement;
};
Surrogate.prototype = parent.prototype;
ChartElement.prototype = new Surrogate();
ChartElement.extend = helpers.inherits;
if (extensions) {
helpers.extend(ChartElement.prototype, extensions);
}
ChartElement.__super__ = parent.prototype;
return ChartElement;
};
helpers.noop = function() {};
helpers.uid = (function() {
var id = 0;
return function() {
return id++;
};
})();
helpers.warn = function(str) {
//Method for warning of errors
if (console && typeof console.warn === "function") {
console.warn(str);
}
};
//-- Math methods
helpers.isNumber = function(n) {
return !isNaN(parseFloat(n)) && isFinite(n);
};
helpers.almostEquals = function(x, y, epsilon) {
return Math.abs(x - y) < epsilon;
};
helpers.max = function(array) {
return array.reduce(function(max, value) {
if (!isNaN(value)) {
return Math.max(max, value);
} else {
return max;
}
}, Number.NEGATIVE_INFINITY);
};
helpers.min = function(array) {
return array.reduce(function(min, value) {
if (!isNaN(value)) {
return Math.min(min, value);
} else {
return min;
}
}, Number.POSITIVE_INFINITY);
};
helpers.sign = function(x) {
if (Math.sign) {
return Math.sign(x);
} else {
x = +x; // convert to a number
if (x === 0 || isNaN(x)) {
return x;
}
return x > 0 ? 1 : -1;
}
};
helpers.log10 = function(x) {
if (Math.log10) {
return Math.log10(x);
} else {
return Math.log(x) / Math.LN10;
}
};
helpers.toRadians = function(degrees) {
return degrees * (Math.PI / 180);
};
helpers.toDegrees = function(radians) {
return radians * (180 / Math.PI);
};
// Gets the angle from vertical upright to the point about a centre.
helpers.getAngleFromPoint = function(centrePoint, anglePoint) {
var distanceFromXCenter = anglePoint.x - centrePoint.x,
distanceFromYCenter = anglePoint.y - centrePoint.y,
radialDistanceFromCenter = Math.sqrt(distanceFromXCenter * distanceFromXCenter + distanceFromYCenter * distanceFromYCenter);
var angle = Math.atan2(distanceFromYCenter, distanceFromXCenter);
if (angle < (-0.5 * Math.PI)) {
angle += 2.0 * Math.PI; // make sure the returned angle is in the range of (-PI/2, 3PI/2]
}
return {
angle: angle,
distance: radialDistanceFromCenter
};
};
helpers.aliasPixel = function(pixelWidth) {
return (pixelWidth % 2 === 0) ? 0 : 0.5;
};
helpers.splineCurve = function(firstPoint, middlePoint, afterPoint, t) {
//Props to Rob Spencer at scaled innovation for his post on splining between points
//http://scaledinnovation.com/analytics/splines/aboutSplines.html
// This function must also respect "skipped" points
var previous = firstPoint.skip ? middlePoint : firstPoint,
current = middlePoint,
next = afterPoint.skip ? middlePoint : afterPoint;
var d01 = Math.sqrt(Math.pow(current.x - previous.x, 2) + Math.pow(current.y - previous.y, 2));
var d12 = Math.sqrt(Math.pow(next.x - current.x, 2) + Math.pow(next.y - current.y, 2));
var s01 = d01 / (d01 + d12);
var s12 = d12 / (d01 + d12);
// If all points are the same, s01 & s02 will be inf
s01 = isNaN(s01) ? 0 : s01;
s12 = isNaN(s12) ? 0 : s12;
var fa = t * s01; // scaling factor for triangle Ta
var fb = t * s12;
return {
previous: {
x: current.x - fa * (next.x - previous.x),
y: current.y - fa * (next.y - previous.y)
},
next: {
x: current.x + fb * (next.x - previous.x),
y: current.y + fb * (next.y - previous.y)
}
};
};
helpers.nextItem = function(collection, index, loop) {
if (loop) {
return index >= collection.length - 1 ? collection[0] : collection[index + 1];
}
return index >= collection.length - 1 ? collection[collection.length - 1] : collection[index + 1];
};
helpers.previousItem = function(collection, index, loop) {
if (loop) {
return index <= 0 ? collection[collection.length - 1] : collection[index - 1];
}
return index <= 0 ? collection[0] : collection[index - 1];
};
// Implementation of the nice number algorithm used in determining where axis labels will go
helpers.niceNum = function(range, round) {
var exponent = Math.floor(helpers.log10(range));
var fraction = range / Math.pow(10, exponent);
var niceFraction;
if (round) {
if (fraction < 1.5) {
niceFraction = 1;
} else if (fraction < 3) {
niceFraction = 2;
} else if (fraction < 7) {
niceFraction = 5;
} else {
niceFraction = 10;
}
} else {
if (fraction <= 1.0) {
niceFraction = 1;
} else if (fraction <= 2) {
niceFraction = 2;
} else if (fraction <= 5) {
niceFraction = 5;
} else {
niceFraction = 10;
}
}
return niceFraction * Math.pow(10, exponent);
};
//Easing functions adapted from Robert Penner's easing equations
//http://www.robertpenner.com/easing/
var easingEffects = helpers.easingEffects = {
linear: function(t) {
return t;
},
easeInQuad: function(t) {
return t * t;
},
easeOutQuad: function(t) {
return -1 * t * (t - 2);
},
easeInOutQuad: function(t) {
if ((t /= 1 / 2) < 1) {
return 1 / 2 * t * t;
}
return -1 / 2 * ((--t) * (t - 2) - 1);
},
easeInCubic: function(t) {
return t * t * t;
},
easeOutCubic: function(t) {
return 1 * ((t = t / 1 - 1) * t * t + 1);
},
easeInOutCubic: function(t) {
if ((t /= 1 / 2) < 1) {
return 1 / 2 * t * t * t;
}
return 1 / 2 * ((t -= 2) * t * t + 2);
},
easeInQuart: function(t) {
return t * t * t * t;
},
easeOutQuart: function(t) {
return -1 * ((t = t / 1 - 1) * t * t * t - 1);
},
easeInOutQuart: function(t) {
if ((t /= 1 / 2) < 1) {
return 1 / 2 * t * t * t * t;
}
return -1 / 2 * ((t -= 2) * t * t * t - 2);
},
easeInQuint: function(t) {
return 1 * (t /= 1) * t * t * t * t;
},
easeOutQuint: function(t) {
return 1 * ((t = t / 1 - 1) * t * t * t * t + 1);
},
easeInOutQuint: function(t) {
if ((t /= 1 / 2) < 1) {
return 1 / 2 * t * t * t * t * t;
}
return 1 / 2 * ((t -= 2) * t * t * t * t + 2);
},
easeInSine: function(t) {
return -1 * Math.cos(t / 1 * (Math.PI / 2)) + 1;
},
easeOutSine: function(t) {
return 1 * Math.sin(t / 1 * (Math.PI / 2));
},
easeInOutSine: function(t) {
return -1 / 2 * (Math.cos(Math.PI * t / 1) - 1);
},
easeInExpo: function(t) {
return (t === 0) ? 1 : 1 * Math.pow(2, 10 * (t / 1 - 1));
},
easeOutExpo: function(t) {
return (t === 1) ? 1 : 1 * (-Math.pow(2, -10 * t / 1) + 1);
},
easeInOutExpo: function(t) {
if (t === 0) {
return 0;
}
if (t === 1) {
return 1;
}
if ((t /= 1 / 2) < 1) {
return 1 / 2 * Math.pow(2, 10 * (t - 1));
}
return 1 / 2 * (-Math.pow(2, -10 * --t) + 2);
},
easeInCirc: function(t) {
if (t >= 1) {
return t;
}
return -1 * (Math.sqrt(1 - (t /= 1) * t) - 1);
},
easeOutCirc: function(t) {
return 1 * Math.sqrt(1 - (t = t / 1 - 1) * t);
},
easeInOutCirc: function(t) {
if ((t /= 1 / 2) < 1) {
return -1 / 2 * (Math.sqrt(1 - t * t) - 1);
}
return 1 / 2 * (Math.sqrt(1 - (t -= 2) * t) + 1);
},
easeInElastic: function(t) {
var s = 1.70158;
var p = 0;
var a = 1;
if (t === 0) {
return 0;
}
if ((t /= 1) === 1) {
return 1;
}
if (!p) {
p = 1 * 0.3;
}
if (a < Math.abs(1)) {
a = 1;
s = p / 4;
} else {
s = p / (2 * Math.PI) * Math.asin(1 / a);
}
return -(a * Math.pow(2, 10 * (t -= 1)) * Math.sin((t * 1 - s) * (2 * Math.PI) / p));
},
easeOutElastic: function(t) {
var s = 1.70158;
var p = 0;
var a = 1;
if (t === 0) {
return 0;
}
if ((t /= 1) === 1) {
return 1;
}
if (!p) {
p = 1 * 0.3;
}
if (a < Math.abs(1)) {
a = 1;
s = p / 4;
} else {
s = p / (2 * Math.PI) * Math.asin(1 / a);
}
return a * Math.pow(2, -10 * t) * Math.sin((t * 1 - s) * (2 * Math.PI) / p) + 1;
},
easeInOutElastic: function(t) {
var s = 1.70158;
var p = 0;
var a = 1;
if (t === 0) {
return 0;
}
if ((t /= 1 / 2) === 2) {
return 1;
}
if (!p) {
p = 1 * (0.3 * 1.5);
}
if (a < Math.abs(1)) {
a = 1;
s = p / 4;
} else {
s = p / (2 * Math.PI) * Math.asin(1 / a);
}
if (t < 1) {
return -0.5 * (a * Math.pow(2, 10 * (t -= 1)) * Math.sin((t * 1 - s) * (2 * Math.PI) / p));
}
return a * Math.pow(2, -10 * (t -= 1)) * Math.sin((t * 1 - s) * (2 * Math.PI) / p) * 0.5 + 1;
},
easeInBack: function(t) {
var s = 1.70158;
return 1 * (t /= 1) * t * ((s + 1) * t - s);
},
easeOutBack: function(t) {
var s = 1.70158;
return 1 * ((t = t / 1 - 1) * t * ((s + 1) * t + s) + 1);
},
easeInOutBack: function(t) {
var s = 1.70158;
if ((t /= 1 / 2) < 1) {
return 1 / 2 * (t * t * (((s *= (1.525)) + 1) * t - s));
}
return 1 / 2 * ((t -= 2) * t * (((s *= (1.525)) + 1) * t + s) + 2);
},
easeInBounce: function(t) {
return 1 - easingEffects.easeOutBounce(1 - t);
},
easeOutBounce: function(t) {
if ((t /= 1) < (1 / 2.75)) {
return 1 * (7.5625 * t * t);
} else if (t < (2 / 2.75)) {
return 1 * (7.5625 * (t -= (1.5 / 2.75)) * t + 0.75);
} else if (t < (2.5 / 2.75)) {
return 1 * (7.5625 * (t -= (2.25 / 2.75)) * t + 0.9375);
} else {
return 1 * (7.5625 * (t -= (2.625 / 2.75)) * t + 0.984375);
}
},
easeInOutBounce: function(t) {
if (t < 1 / 2) {
return easingEffects.easeInBounce(t * 2) * 0.5;
}
return easingEffects.easeOutBounce(t * 2 - 1) * 0.5 + 1 * 0.5;
}
};
//Request animation polyfill - http://www.paulirish.com/2011/requestanimationframe-for-smart-animating/
helpers.requestAnimFrame = (function() {
return window.requestAnimationFrame ||
window.webkitRequestAnimationFrame ||
window.mozRequestAnimationFrame ||
window.oRequestAnimationFrame ||
window.msRequestAnimationFrame ||
function(callback) {
return window.setTimeout(callback, 1000 / 60);
};
})();
helpers.cancelAnimFrame = (function() {
return window.cancelAnimationFrame ||
window.webkitCancelAnimationFrame ||
window.mozCancelAnimationFrame ||
window.oCancelAnimationFrame ||
window.msCancelAnimationFrame ||
function(callback) {
return window.clearTimeout(callback, 1000 / 60);
};
})();
//-- DOM methods
helpers.getRelativePosition = function(evt, chart) {
var mouseX, mouseY;
var e = evt.originalEvent || evt,
canvas = evt.currentTarget || evt.srcElement,
boundingRect = canvas.getBoundingClientRect();
var touches = e.touches;
if (touches && touches.length > 0) {
mouseX = touches[0].clientX;
mouseY = touches[0].clientY;
} else {
mouseX = e.clientX;
mouseY = e.clientY;
}
// Scale mouse coordinates into canvas coordinates
// by following the pattern laid out by 'jerryj' in the comments of
// http://www.html5canvastutorials.com/advanced/html5-canvas-mouse-coordinates/
var paddingLeft = parseFloat(helpers.getStyle(canvas, 'padding-left'));
var paddingTop = parseFloat(helpers.getStyle(canvas, 'padding-top'));
var paddingRight = parseFloat(helpers.getStyle(canvas, 'padding-right'));
var paddingBottom = parseFloat(helpers.getStyle(canvas, 'padding-bottom'));
var width = boundingRect.right - boundingRect.left - paddingLeft - paddingRight;
var height = boundingRect.bottom - boundingRect.top - paddingTop - paddingBottom;
// We divide by the current device pixel ratio, because the canvas is scaled up by that amount in each direction. However
// the backend model is in unscaled coordinates. Since we are going to deal with our model coordinates, we go back here
mouseX = Math.round((mouseX - boundingRect.left - paddingLeft) / (width) * canvas.width / chart.currentDevicePixelRatio);
mouseY = Math.round((mouseY - boundingRect.top - paddingTop) / (height) * canvas.height / chart.currentDevicePixelRatio);
return {
x: mouseX,
y: mouseY
};
};
helpers.addEvent = function(node, eventType, method) {
if (node.addEventListener) {
node.addEventListener(eventType, method);
} else if (node.attachEvent) {
node.attachEvent("on" + eventType, method);
} else {
node["on" + eventType] = method;
}
};
helpers.removeEvent = function(node, eventType, handler) {
if (node.removeEventListener) {
node.removeEventListener(eventType, handler, false);
} else if (node.detachEvent) {
node.detachEvent("on" + eventType, handler);
} else {
node["on" + eventType] = helpers.noop;
}
};
helpers.bindEvents = function(chartInstance, arrayOfEvents, handler) {
// Create the events object if it's not already present
var events = chartInstance.events = chartInstance.events || {};
helpers.each(arrayOfEvents, function(eventName) {
events[eventName] = function() {
handler.apply(chartInstance, arguments);
};
helpers.addEvent(chartInstance.chart.canvas, eventName, events[eventName]);
});
};
helpers.unbindEvents = function(chartInstance, arrayOfEvents) {
var canvas = chartInstance.chart.canvas;
helpers.each(arrayOfEvents, function(handler, eventName) {
helpers.removeEvent(canvas, eventName, handler);
});
};
// Private helper function to convert max-width/max-height values that may be percentages into a number
function parseMaxStyle(styleValue, node, parentProperty) {
var valueInPixels;
if (typeof(styleValue) === 'string') {
valueInPixels = parseInt(styleValue, 10);
if (styleValue.indexOf('%') != -1) {
// percentage * size in dimension
valueInPixels = valueInPixels / 100 * node.parentNode[parentProperty];
}
} else {
valueInPixels = styleValue;
}
return valueInPixels;
}
/**
* Returns if the given value contains an effective constraint.
* @private
*/
function isConstrainedValue(value) {
return value !== undefined && value !== null && value !== 'none';
}
// Private helper to get a constraint dimension
// @param domNode : the node to check the constraint on
// @param maxStyle : the style that defines the maximum for the direction we are using (maxWidth / maxHeight)
// @param percentageProperty : property of parent to use when calculating width as a percentage
// @see http://www.nathanaeljones.com/blog/2013/reading-max-width-cross-browser
function getConstraintDimension(domNode, maxStyle, percentageProperty) {
var view = document.defaultView;
var parentNode = domNode.parentNode;
var constrainedNode = view.getComputedStyle(domNode)[maxStyle];
var constrainedContainer = view.getComputedStyle(parentNode)[maxStyle];
var hasCNode = isConstrainedValue(constrainedNode);
var hasCContainer = isConstrainedValue(constrainedContainer);
var infinity = Number.POSITIVE_INFINITY;
if (hasCNode || hasCContainer) {
return Math.min(
hasCNode? parseMaxStyle(constrainedNode, domNode, percentageProperty) : infinity,
hasCContainer? parseMaxStyle(constrainedContainer, parentNode, percentageProperty) : infinity);
}
return 'none';
}
// returns Number or undefined if no constraint
helpers.getConstraintWidth = function(domNode) {
return getConstraintDimension(domNode, 'max-width', 'clientWidth');
};
// returns Number or undefined if no constraint
helpers.getConstraintHeight = function(domNode) {
return getConstraintDimension(domNode, 'max-height', 'clientHeight');
};
helpers.getMaximumWidth = function(domNode) {
var container = domNode.parentNode;
var padding = parseInt(helpers.getStyle(container, 'padding-left')) + parseInt(helpers.getStyle(container, 'padding-right'));
var w = container.clientWidth - padding;
var cw = helpers.getConstraintWidth(domNode);
return isNaN(cw)? w : Math.min(w, cw);
};
helpers.getMaximumHeight = function(domNode) {
var container = domNode.parentNode;
var padding = parseInt(helpers.getStyle(container, 'padding-top')) + parseInt(helpers.getStyle(container, 'padding-bottom'));
var h = container.clientHeight - padding;
var ch = helpers.getConstraintHeight(domNode);
return isNaN(ch)? h : Math.min(h, ch);
};
helpers.getStyle = function(el, property) {
return el.currentStyle ?
el.currentStyle[property] :
document.defaultView.getComputedStyle(el, null).getPropertyValue(property);
};
helpers.retinaScale = function(chart) {
var ctx = chart.ctx;
var canvas = chart.canvas;
var width = canvas.width;
var height = canvas.height;
var pixelRatio = chart.currentDevicePixelRatio = window.devicePixelRatio || 1;
if (pixelRatio !== 1) {
canvas.height = height * pixelRatio;
canvas.width = width * pixelRatio;
ctx.scale(pixelRatio, pixelRatio);
// Store the device pixel ratio so that we can go backwards in `destroy`.
// The devicePixelRatio changes with zoom, so there are no guarantees that it is the same
// when destroy is called
chart.originalDevicePixelRatio = chart.originalDevicePixelRatio || pixelRatio;
}
canvas.style.width = width + 'px';
canvas.style.height = height + 'px';
};
//-- Canvas methods
helpers.clear = function(chart) {
chart.ctx.clearRect(0, 0, chart.width, chart.height);
};
helpers.fontString = function(pixelSize, fontStyle, fontFamily) {
return fontStyle + " " + pixelSize + "px " + fontFamily;
};
helpers.longestText = function(ctx, font, arrayOfStrings, cache) {
cache = cache || {};
var data = cache.data = cache.data || {};
var gc = cache.garbageCollect = cache.garbageCollect || [];
if (cache.font !== font) {
data = cache.data = {};
gc = cache.garbageCollect = [];
cache.font = font;
}
ctx.font = font;
var longest = 0;
helpers.each(arrayOfStrings, function(string) {
// Undefined strings should not be measured
if (string !== undefined && string !== null) {
var textWidth = data[string];
if (!textWidth) {
textWidth = data[string] = ctx.measureText(string).width;
gc.push(string);
}
if (textWidth > longest) {
longest = textWidth;
}
}
});
var gcLen = gc.length / 2;
if (gcLen > arrayOfStrings.length) {
for (var i = 0; i < gcLen; i++) {
delete data[gc[i]];
}
gc.splice(0, gcLen);
}
return longest;
};
helpers.drawRoundedRectangle = function(ctx, x, y, width, height, radius) {
ctx.beginPath();
ctx.moveTo(x + radius, y);
ctx.lineTo(x + width - radius, y);
ctx.quadraticCurveTo(x + width, y, x + width, y + radius);
ctx.lineTo(x + width, y + height - radius);
ctx.quadraticCurveTo(x + width, y + height, x + width - radius, y + height);
ctx.lineTo(x + radius, y + height);
ctx.quadraticCurveTo(x, y + height, x, y + height - radius);
ctx.lineTo(x, y + radius);
ctx.quadraticCurveTo(x, y, x + radius, y);
ctx.closePath();
};
helpers.color = function(c) {
if (!color) {
console.log('Color.js not found!');
return c;
}
/* global CanvasGradient */
if (c instanceof CanvasGradient) {
return color(Chart.defaults.global.defaultColor);
}
return color(c);
};
helpers.addResizeListener = function(node, callback) {
// Hide an iframe before the node
var hiddenIframe = document.createElement('iframe');
var hiddenIframeClass = 'chartjs-hidden-iframe';
if (hiddenIframe.classlist) {
// can use classlist
hiddenIframe.classlist.add(hiddenIframeClass);
} else {
hiddenIframe.setAttribute('class', hiddenIframeClass);
}
// Set the style
var style = hiddenIframe.style;
style.width = '100%';
style.display = 'block';
style.border = 0;
style.height = 0;
style.margin = 0;
style.position = 'absolute';
style.left = 0;
style.right = 0;
style.top = 0;
style.bottom = 0;
// Insert the iframe so that contentWindow is available
node.insertBefore(hiddenIframe, node.firstChild);
(hiddenIframe.contentWindow || hiddenIframe).onresize = function() {
if (callback) {
callback();
}
};
};
helpers.removeResizeListener = function(node) {
var hiddenIframe = node.querySelector('.chartjs-hidden-iframe');
// Remove the resize detect iframe
if (hiddenIframe) {
hiddenIframe.parentNode.removeChild(hiddenIframe);
}
};
helpers.isArray = function(obj) {
if (!Array.isArray) {
return Object.prototype.toString.call(obj) === '[object Array]';
}
return Array.isArray(obj);
};
//! @see http://stackoverflow.com/a/14853974
helpers.arrayEquals = function(a0, a1) {
var i, ilen, v0, v1;
if (!a0 || !a1 || a0.length != a1.length) {
return false;
}
for (i = 0, ilen=a0.length; i < ilen; ++i) {
v0 = a0[i];
v1 = a1[i];
if (v0 instanceof Array && v1 instanceof Array) {
if (!helpers.arrayEquals(v0, v1)) {
return false;
}
} else if (v0 != v1) {
// NOTE: two different object instances will never be equal: {x:20} != {x:20}
return false;
}
}
return true;
};
helpers.pushAllIfDefined = function(element, array) {
if (typeof element === "undefined") {
return;
}
if (helpers.isArray(element)) {
array.push.apply(array, element);
} else {
array.push(element);
}
};
helpers.callCallback = function(fn, args, _tArg) {
if (fn && typeof fn.call === 'function') {
fn.apply(_tArg, args);
}
};
helpers.getHoverColor = function(color) {
/* global CanvasPattern */
return (color instanceof CanvasPattern) ?
color :
helpers.color(color).saturate(0.5).darken(0.1).rgbString();
};
};

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"use strict";
module.exports = function() {
//Occupy the global variable of Chart, and create a simple base class
var Chart = function(context, config) {
this.config = config;
// Support a jQuery'd canvas element
if (context.length && context[0].getContext) {
context = context[0];
}
// Support a canvas domnode
if (context.getContext) {
context = context.getContext("2d");
}
this.ctx = context;
this.canvas = context.canvas;
// Figure out what the size of the chart will be.
// If the canvas has a specified width and height, we use those else
// we look to see if the canvas node has a CSS width and height.
// If there is still no height, fill the parent container
this.width = context.canvas.width || parseInt(Chart.helpers.getStyle(context.canvas, 'width')) || Chart.helpers.getMaximumWidth(context.canvas);
this.height = context.canvas.height || parseInt(Chart.helpers.getStyle(context.canvas, 'height')) || Chart.helpers.getMaximumHeight(context.canvas);
this.aspectRatio = this.width / this.height;
if (isNaN(this.aspectRatio) || isFinite(this.aspectRatio) === false) {
// If the canvas has no size, try and figure out what the aspect ratio will be.
// Some charts prefer square canvases (pie, radar, etc). If that is specified, use that
// else use the canvas default ratio of 2
this.aspectRatio = config.aspectRatio !== undefined ? config.aspectRatio : 2;
}
// Store the original style of the element so we can set it back
this.originalCanvasStyleWidth = context.canvas.style.width;
this.originalCanvasStyleHeight = context.canvas.style.height;
// High pixel density displays - multiply the size of the canvas height/width by the device pixel ratio, then scale.
Chart.helpers.retinaScale(this);
if (config) {
this.controller = new Chart.Controller(this);
}
// Always bind this so that if the responsive state changes we still work
var _this = this;
Chart.helpers.addResizeListener(context.canvas.parentNode, function() {
if (_this.controller && _this.controller.config.options.responsive) {
_this.controller.resize();
}
});
return this.controller ? this.controller : this;
};
//Globally expose the defaults to allow for user updating/changing
Chart.defaults = {
global: {
responsive: true,
responsiveAnimationDuration: 0,
maintainAspectRatio: true,
events: ["mousemove", "mouseout", "click", "touchstart", "touchmove"],
hover: {
onHover: null,
mode: 'single',
animationDuration: 400
},
onClick: null,
defaultColor: 'rgba(0,0,0,0.1)',
defaultFontColor: '#666',
defaultFontFamily: "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif",
defaultFontSize: 12,
defaultFontStyle: 'normal',
showLines: true,
// Element defaults defined in element extensions
elements: {},
// Legend callback string
legendCallback: function(chart) {
var text = [];
text.push('<ul class="' + chart.id + '-legend">');
for (var i = 0; i < chart.data.datasets.length; i++) {
text.push('<li><span style="background-color:' + chart.data.datasets[i].backgroundColor + '"></span>');
if (chart.data.datasets[i].label) {
text.push(chart.data.datasets[i].label);
}
text.push('</li>');
}
text.push('</ul>');
return text.join("");
}
}
};
return Chart;
};

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"use strict";
module.exports = function(Chart) {
var helpers = Chart.helpers;
// The layout service is very self explanatory. It's responsible for the layout within a chart.
// Scales, Legends and Plugins all rely on the layout service and can easily register to be placed anywhere they need
// It is this service's responsibility of carrying out that layout.
Chart.layoutService = {
defaults: {},
// Register a box to a chartInstance. A box is simply a reference to an object that requires layout. eg. Scales, Legend, Plugins.
addBox: function(chartInstance, box) {
if (!chartInstance.boxes) {
chartInstance.boxes = [];
}
chartInstance.boxes.push(box);
},
removeBox: function(chartInstance, box) {
if (!chartInstance.boxes) {
return;
}
chartInstance.boxes.splice(chartInstance.boxes.indexOf(box), 1);
},
// The most important function
update: function(chartInstance, width, height) {
if (!chartInstance) {
return;
}
var xPadding = 0;
var yPadding = 0;
var leftBoxes = helpers.where(chartInstance.boxes, function(box) {
return box.options.position === "left";
});
var rightBoxes = helpers.where(chartInstance.boxes, function(box) {
return box.options.position === "right";
});
var topBoxes = helpers.where(chartInstance.boxes, function(box) {
return box.options.position === "top";
});
var bottomBoxes = helpers.where(chartInstance.boxes, function(box) {
return box.options.position === "bottom";
});
// Boxes that overlay the chartarea such as the radialLinear scale
var chartAreaBoxes = helpers.where(chartInstance.boxes, function(box) {
return box.options.position === "chartArea";
});
// Ensure that full width boxes are at the very top / bottom
topBoxes.sort(function(a, b) {
return (b.options.fullWidth ? 1 : 0) - (a.options.fullWidth ? 1 : 0);
});
bottomBoxes.sort(function(a, b) {
return (a.options.fullWidth ? 1 : 0) - (b.options.fullWidth ? 1 : 0);
});
// Essentially we now have any number of boxes on each of the 4 sides.
// Our canvas looks like the following.
// The areas L1 and L2 are the left axes. R1 is the right axis, T1 is the top axis and
// B1 is the bottom axis
// There are also 4 quadrant-like locations (left to right instead of clockwise) reserved for chart overlays
// These locations are single-box locations only, when trying to register a chartArea location that is already taken,
// an error will be thrown.
//
// |----------------------------------------------------|
// | T1 (Full Width) |
// |----------------------------------------------------|
// | | | T2 | |
// | |----|-------------------------------------|----|
// | | | C1 | | C2 | |
// | | |----| |----| |
// | | | | |
// | L1 | L2 | ChartArea (C0) | R1 |
// | | | | |
// | | |----| |----| |
// | | | C3 | | C4 | |
// | |----|-------------------------------------|----|
// | | | B1 | |
// |----------------------------------------------------|
// | B2 (Full Width) |
// |----------------------------------------------------|
//
// What we do to find the best sizing, we do the following
// 1. Determine the minimum size of the chart area.
// 2. Split the remaining width equally between each vertical axis
// 3. Split the remaining height equally between each horizontal axis
// 4. Give each layout the maximum size it can be. The layout will return it's minimum size
// 5. Adjust the sizes of each axis based on it's minimum reported size.
// 6. Refit each axis
// 7. Position each axis in the final location
// 8. Tell the chart the final location of the chart area
// 9. Tell any axes that overlay the chart area the positions of the chart area
// Step 1
var chartWidth = width - (2 * xPadding);
var chartHeight = height - (2 * yPadding);
var chartAreaWidth = chartWidth / 2; // min 50%
var chartAreaHeight = chartHeight / 2; // min 50%
// Step 2
var verticalBoxWidth = (width - chartAreaWidth) / (leftBoxes.length + rightBoxes.length);
// Step 3
var horizontalBoxHeight = (height - chartAreaHeight) / (topBoxes.length + bottomBoxes.length);
// Step 4
var maxChartAreaWidth = chartWidth;
var maxChartAreaHeight = chartHeight;
var minBoxSizes = [];
helpers.each(leftBoxes.concat(rightBoxes, topBoxes, bottomBoxes), getMinimumBoxSize);
function getMinimumBoxSize(box) {
var minSize;
var isHorizontal = box.isHorizontal();
if (isHorizontal) {
minSize = box.update(box.options.fullWidth ? chartWidth : maxChartAreaWidth, horizontalBoxHeight);
maxChartAreaHeight -= minSize.height;
} else {
minSize = box.update(verticalBoxWidth, chartAreaHeight);
maxChartAreaWidth -= minSize.width;
}
minBoxSizes.push({
horizontal: isHorizontal,
minSize: minSize,
box: box
});
}
// At this point, maxChartAreaHeight and maxChartAreaWidth are the size the chart area could
// be if the axes are drawn at their minimum sizes.
// Steps 5 & 6
var totalLeftBoxesWidth = xPadding;
var totalRightBoxesWidth = xPadding;
var totalTopBoxesHeight = yPadding;
var totalBottomBoxesHeight = yPadding;
// Update, and calculate the left and right margins for the horizontal boxes
helpers.each(leftBoxes.concat(rightBoxes), fitBox);
helpers.each(leftBoxes, function(box) {
totalLeftBoxesWidth += box.width;
});
helpers.each(rightBoxes, function(box) {
totalRightBoxesWidth += box.width;
});
// Set the Left and Right margins for the horizontal boxes
helpers.each(topBoxes.concat(bottomBoxes), fitBox);
// Function to fit a box
function fitBox(box) {
var minBoxSize = helpers.findNextWhere(minBoxSizes, function(minBoxSize) {
return minBoxSize.box === box;
});
if (minBoxSize) {
if (box.isHorizontal()) {
var scaleMargin = {
left: totalLeftBoxesWidth,
right: totalRightBoxesWidth,
top: 0,
bottom: 0
};
// Don't use min size here because of label rotation. When the labels are rotated, their rotation highly depends
// on the margin. Sometimes they need to increase in size slightly
box.update(box.options.fullWidth ? chartWidth : maxChartAreaWidth, chartHeight / 2, scaleMargin);
} else {
box.update(minBoxSize.minSize.width, maxChartAreaHeight);
}
}
}
// Figure out how much margin is on the top and bottom of the vertical boxes
helpers.each(topBoxes, function(box) {
totalTopBoxesHeight += box.height;
});
helpers.each(bottomBoxes, function(box) {
totalBottomBoxesHeight += box.height;
});
// Let the left layout know the final margin
helpers.each(leftBoxes.concat(rightBoxes), finalFitVerticalBox);
function finalFitVerticalBox(box) {
var minBoxSize = helpers.findNextWhere(minBoxSizes, function(minBoxSize) {
return minBoxSize.box === box;
});
var scaleMargin = {
left: 0,
right: 0,
top: totalTopBoxesHeight,
bottom: totalBottomBoxesHeight
};
if (minBoxSize) {
box.update(minBoxSize.minSize.width, maxChartAreaHeight, scaleMargin);
}
}
// Recalculate because the size of each layout might have changed slightly due to the margins (label rotation for instance)
totalLeftBoxesWidth = xPadding;
totalRightBoxesWidth = xPadding;
totalTopBoxesHeight = yPadding;
totalBottomBoxesHeight = yPadding;
helpers.each(leftBoxes, function(box) {
totalLeftBoxesWidth += box.width;
});
helpers.each(rightBoxes, function(box) {
totalRightBoxesWidth += box.width;
});
helpers.each(topBoxes, function(box) {
totalTopBoxesHeight += box.height;
});
helpers.each(bottomBoxes, function(box) {
totalBottomBoxesHeight += box.height;
});
// Figure out if our chart area changed. This would occur if the dataset layout label rotation
// changed due to the application of the margins in step 6. Since we can only get bigger, this is safe to do
// without calling `fit` again
var newMaxChartAreaHeight = height - totalTopBoxesHeight - totalBottomBoxesHeight;
var newMaxChartAreaWidth = width - totalLeftBoxesWidth - totalRightBoxesWidth;
if (newMaxChartAreaWidth !== maxChartAreaWidth || newMaxChartAreaHeight !== maxChartAreaHeight) {
helpers.each(leftBoxes, function(box) {
box.height = newMaxChartAreaHeight;
});
helpers.each(rightBoxes, function(box) {
box.height = newMaxChartAreaHeight;
});
helpers.each(topBoxes, function(box) {
if (!box.options.fullWidth) {
box.width = newMaxChartAreaWidth;
}
});
helpers.each(bottomBoxes, function(box) {
if (!box.options.fullWidth) {
box.width = newMaxChartAreaWidth;
}
});
maxChartAreaHeight = newMaxChartAreaHeight;
maxChartAreaWidth = newMaxChartAreaWidth;
}
// Step 7 - Position the boxes
var left = xPadding;
var top = yPadding;
var right = 0;
var bottom = 0;
helpers.each(leftBoxes.concat(topBoxes), placeBox);
// Account for chart width and height
left += maxChartAreaWidth;
top += maxChartAreaHeight;
helpers.each(rightBoxes, placeBox);
helpers.each(bottomBoxes, placeBox);
function placeBox(box) {
if (box.isHorizontal()) {
box.left = box.options.fullWidth ? xPadding : totalLeftBoxesWidth;
box.right = box.options.fullWidth ? width - xPadding : totalLeftBoxesWidth + maxChartAreaWidth;
box.top = top;
box.bottom = top + box.height;
// Move to next point
top = box.bottom;
} else {
box.left = left;
box.right = left + box.width;
box.top = totalTopBoxesHeight;
box.bottom = totalTopBoxesHeight + maxChartAreaHeight;
// Move to next point
left = box.right;
}
}
// Step 8
chartInstance.chartArea = {
left: totalLeftBoxesWidth,
top: totalTopBoxesHeight,
right: totalLeftBoxesWidth + maxChartAreaWidth,
bottom: totalTopBoxesHeight + maxChartAreaHeight
};
// Step 9
helpers.each(chartAreaBoxes, function(box) {
box.left = chartInstance.chartArea.left;
box.top = chartInstance.chartArea.top;
box.right = chartInstance.chartArea.right;
box.bottom = chartInstance.chartArea.bottom;
box.update(maxChartAreaWidth, maxChartAreaHeight);
});
}
};
};

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"use strict";
module.exports = function(Chart) {
var helpers = Chart.helpers;
var noop = helpers.noop;
Chart.defaults.global.legend = {
display: true,
position: 'top',
fullWidth: true, // marks that this box should take the full width of the canvas (pushing down other boxes)
reverse: false,
// a callback that will handle
onClick: function(e, legendItem) {
var index = legendItem.datasetIndex;
var ci = this.chart;
var meta = ci.getDatasetMeta(index);
// See controller.isDatasetVisible comment
meta.hidden = meta.hidden === null? !ci.data.datasets[index].hidden : null;
// We hid a dataset ... rerender the chart
ci.update();
},
labels: {
boxWidth: 40,
padding: 10,
// Generates labels shown in the legend
// Valid properties to return:
// text : text to display
// fillStyle : fill of coloured box
// strokeStyle: stroke of coloured box
// hidden : if this legend item refers to a hidden item
// lineCap : cap style for line
// lineDash
// lineDashOffset :
// lineJoin :
// lineWidth :
generateLabels: function(chart) {
var data = chart.data;
return helpers.isArray(data.datasets) ? data.datasets.map(function(dataset, i) {
return {
text: dataset.label,
fillStyle: dataset.backgroundColor,
hidden: !chart.isDatasetVisible(i),
lineCap: dataset.borderCapStyle,
lineDash: dataset.borderDash,
lineDashOffset: dataset.borderDashOffset,
lineJoin: dataset.borderJoinStyle,
lineWidth: dataset.borderWidth,
strokeStyle: dataset.borderColor,
// Below is extra data used for toggling the datasets
datasetIndex: i
};
}, this) : [];
}
}
};
Chart.Legend = Chart.Element.extend({
initialize: function(config) {
helpers.extend(this, config);
// Contains hit boxes for each dataset (in dataset order)
this.legendHitBoxes = [];
// Are we in doughnut mode which has a different data type
this.doughnutMode = false;
},
// These methods are ordered by lifecyle. Utilities then follow.
// Any function defined here is inherited by all legend types.
// Any function can be extended by the legend type
beforeUpdate: noop,
update: function(maxWidth, maxHeight, margins) {
// Update Lifecycle - Probably don't want to ever extend or overwrite this function ;)
this.beforeUpdate();
// Absorb the master measurements
this.maxWidth = maxWidth;
this.maxHeight = maxHeight;
this.margins = margins;
// Dimensions
this.beforeSetDimensions();
this.setDimensions();
this.afterSetDimensions();
// Labels
this.beforeBuildLabels();
this.buildLabels();
this.afterBuildLabels();
// Fit
this.beforeFit();
this.fit();
this.afterFit();
//
this.afterUpdate();
return this.minSize;
},
afterUpdate: noop,
//
beforeSetDimensions: noop,
setDimensions: function() {
// Set the unconstrained dimension before label rotation
if (this.isHorizontal()) {
// Reset position before calculating rotation
this.width = this.maxWidth;
this.left = 0;
this.right = this.width;
} else {
this.height = this.maxHeight;
// Reset position before calculating rotation
this.top = 0;
this.bottom = this.height;
}
// Reset padding
this.paddingLeft = 0;
this.paddingTop = 0;
this.paddingRight = 0;
this.paddingBottom = 0;
// Reset minSize
this.minSize = {
width: 0,
height: 0
};
},
afterSetDimensions: noop,
//
beforeBuildLabels: noop,
buildLabels: function() {
this.legendItems = this.options.labels.generateLabels.call(this, this.chart);
if(this.options.reverse){
this.legendItems.reverse();
}
},
afterBuildLabels: noop,
//
beforeFit: noop,
fit: function() {
var opts = this.options;
var labelOpts = opts.labels;
var display = opts.display;
var ctx = this.ctx;
var globalDefault = Chart.defaults.global,
itemOrDefault = helpers.getValueOrDefault,
fontSize = itemOrDefault(labelOpts.fontSize, globalDefault.defaultFontSize),
fontStyle = itemOrDefault(labelOpts.fontStyle, globalDefault.defaultFontStyle),
fontFamily = itemOrDefault(labelOpts.fontFamily, globalDefault.defaultFontFamily),
labelFont = helpers.fontString(fontSize, fontStyle, fontFamily);
// Reset hit boxes
var hitboxes = this.legendHitBoxes = [];
var minSize = this.minSize;
var isHorizontal = this.isHorizontal();
if (isHorizontal) {
minSize.width = this.maxWidth; // fill all the width
minSize.height = display ? 10 : 0;
} else {
minSize.width = display ? 10 : 0;
minSize.height = this.maxHeight; // fill all the height
}
// Increase sizes here
if (display) {
if (isHorizontal) {
// Labels
// Width of each line of legend boxes. Labels wrap onto multiple lines when there are too many to fit on one
var lineWidths = this.lineWidths = [0];
var totalHeight = this.legendItems.length ? fontSize + (labelOpts.padding) : 0;
ctx.textAlign = "left";
ctx.textBaseline = 'top';
ctx.font = labelFont;
helpers.each(this.legendItems, function(legendItem, i) {
var width = labelOpts.boxWidth + (fontSize / 2) + ctx.measureText(legendItem.text).width;
if (lineWidths[lineWidths.length - 1] + width + labelOpts.padding >= this.width) {
totalHeight += fontSize + (labelOpts.padding);
lineWidths[lineWidths.length] = this.left;
}
// Store the hitbox width and height here. Final position will be updated in `draw`
hitboxes[i] = {
left: 0,
top: 0,
width: width,
height: fontSize
};
lineWidths[lineWidths.length - 1] += width + labelOpts.padding;
}, this);
minSize.height += totalHeight;
} else {
// TODO vertical
}
}
this.width = minSize.width;
this.height = minSize.height;
},
afterFit: noop,
// Shared Methods
isHorizontal: function() {
return this.options.position === "top" || this.options.position === "bottom";
},
// Actualy draw the legend on the canvas
draw: function() {
var opts = this.options;
var labelOpts = opts.labels;
var globalDefault = Chart.defaults.global,
lineDefault = globalDefault.elements.line,
legendWidth = this.width,
lineWidths = this.lineWidths;
if (opts.display) {
var ctx = this.ctx,
cursor = {
x: this.left + ((legendWidth - lineWidths[0]) / 2),
y: this.top + labelOpts.padding,
line: 0
},
itemOrDefault = helpers.getValueOrDefault,
fontColor = itemOrDefault(labelOpts.fontColor, globalDefault.defaultFontColor),
fontSize = itemOrDefault(labelOpts.fontSize, globalDefault.defaultFontSize),
fontStyle = itemOrDefault(labelOpts.fontStyle, globalDefault.defaultFontStyle),
fontFamily = itemOrDefault(labelOpts.fontFamily, globalDefault.defaultFontFamily),
labelFont = helpers.fontString(fontSize, fontStyle, fontFamily);
// Horizontal
if (this.isHorizontal()) {
// Labels
ctx.textAlign = "left";
ctx.textBaseline = 'top';
ctx.lineWidth = 0.5;
ctx.strokeStyle = fontColor; // for strikethrough effect
ctx.fillStyle = fontColor; // render in correct colour
ctx.font = labelFont;
var boxWidth = labelOpts.boxWidth,
hitboxes = this.legendHitBoxes;
helpers.each(this.legendItems, function(legendItem, i) {
var textWidth = ctx.measureText(legendItem.text).width,
width = boxWidth + (fontSize / 2) + textWidth,
x = cursor.x,
y = cursor.y;
if (x + width >= legendWidth) {
y = cursor.y += fontSize + (labelOpts.padding);
cursor.line++;
x = cursor.x = this.left + ((legendWidth - lineWidths[cursor.line]) / 2);
}
// Set the ctx for the box
ctx.save();
ctx.fillStyle = itemOrDefault(legendItem.fillStyle, globalDefault.defaultColor);
ctx.lineCap = itemOrDefault(legendItem.lineCap, lineDefault.borderCapStyle);
ctx.lineDashOffset = itemOrDefault(legendItem.lineDashOffset, lineDefault.borderDashOffset);
ctx.lineJoin = itemOrDefault(legendItem.lineJoin, lineDefault.borderJoinStyle);
ctx.lineWidth = itemOrDefault(legendItem.lineWidth, lineDefault.borderWidth);
ctx.strokeStyle = itemOrDefault(legendItem.strokeStyle, globalDefault.defaultColor);
if (ctx.setLineDash) {
// IE 9 and 10 do not support line dash
ctx.setLineDash(itemOrDefault(legendItem.lineDash, lineDefault.borderDash));
}
// Draw the box
ctx.strokeRect(x, y, boxWidth, fontSize);
ctx.fillRect(x, y, boxWidth, fontSize);
ctx.restore();
hitboxes[i].left = x;
hitboxes[i].top = y;
// Fill the actual label
ctx.fillText(legendItem.text, boxWidth + (fontSize / 2) + x, y);
if (legendItem.hidden) {
// Strikethrough the text if hidden
ctx.beginPath();
ctx.lineWidth = 2;
ctx.moveTo(boxWidth + (fontSize / 2) + x, y + (fontSize / 2));
ctx.lineTo(boxWidth + (fontSize / 2) + x + textWidth, y + (fontSize / 2));
ctx.stroke();
}
cursor.x += width + (labelOpts.padding);
}, this);
} else {
}
}
},
// Handle an event
handleEvent: function(e) {
var position = helpers.getRelativePosition(e, this.chart.chart),
x = position.x,
y = position.y,
opts = this.options;
if (x >= this.left && x <= this.right && y >= this.top && y <= this.bottom) {
// See if we are touching one of the dataset boxes
var lh = this.legendHitBoxes;
for (var i = 0; i < lh.length; ++i) {
var hitBox = lh[i];
if (x >= hitBox.left && x <= hitBox.left + hitBox.width && y >= hitBox.top && y <= hitBox.top + hitBox.height) {
// Touching an element
if (opts.onClick) {
opts.onClick.call(this, e, this.legendItems[i]);
}
break;
}
}
}
}
});
};

61
public/vendors/Chart.js/src/core/core.plugin.js vendored Normal file
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@ -0,0 +1,61 @@
"use strict";
module.exports = function(Chart) {
var helpers = Chart.helpers;
// Plugins are stored here
Chart.plugins = [];
Chart.pluginService = {
// Register a new plugin
register: function(plugin) {
var p = Chart.plugins;
if (p.indexOf(plugin) === -1) {
p.push(plugin);
}
},
// Remove a registered plugin
remove: function(plugin) {
var p = Chart.plugins;
var idx = p.indexOf(plugin);
if (idx !== -1) {
p.splice(idx, 1);
}
},
// Iterate over all plugins
notifyPlugins: function(method, args, scope) {
helpers.each(Chart.plugins, function(plugin) {
if (plugin[method] && typeof plugin[method] === 'function') {
plugin[method].apply(scope, args);
}
}, scope);
}
};
var noop = helpers.noop;
Chart.PluginBase = Chart.Element.extend({
// Plugin methods. All functions are passed the chart instance
// Called at start of chart init
beforeInit: noop,
// Called at end of chart init
afterInit: noop,
// Called at start of update
beforeUpdate: noop,
// Called at end of update
afterUpdate: noop,
// Called at start of draw
beforeDraw: noop,
// Called at end of draw
afterDraw: noop,
// Called during destroy
destroy: noop
});
};

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