原文链接：http://www.bootcss.com/p/chart.js/docs/
引入Chart.js文件
首先我们需要在页面中引入Chart.js文件。此工具库在全局命名空间中定义了Chart变量。
<script src="Chart.js"></script>创建图表
为了创建图表，我们要实例化一个Chart对象。为了完成前面的步骤，首先需要需要传入一个绘制图表的2d context。以下是案例。
<canvas id="myChart" width="400" height="400"></canvas>//Get the context of the canvas element we want to select
var ctx = document.getElementById("myChart").getContext("2d");
var myNewChart = new Chart(ctx).PolarArea(data);我们还可以用jQuery获取canvas的context。首先从jQuery集合中获取我们需要的DOM节点，然后在这个DOM节点上调用 getContext("2d") 方法。
//Get context with jQuery - using jQuery's .get() method.
var ctx = $("#myChart").get(0).getContext("2d");
//This will get the first returned node in the jQuery collection.
var myNewChart = new Chart(ctx);当我们完成了在指定的canvas上实例化Chart对象之后，Chart.js会自动针对retina屏幕做缩放。
Chart对象设置完成后，我们就可以继续创建Chart.js中提供的具体类型的图表了。下面这个案例中，我们将展示如何绘制一幅极地区域图（Polar area chart）。
new Chart(ctx).PolarArea(data,options);We call a method of the name of the chart we want to create. We pass in the data for that chart type, and the options for that chart as parameters. Chart.js will merge the options you pass in with the default options for that chart type.
简介
曲线图就是将数据标于曲线上的一种图表。
一般用于展示趋势数据，和比较两组数据集。
使用案例
new Chart(ctx).Line(data,options);数据结构
var data = {
labels : ["January","February","March","April","May","June","July"],
datasets : [
{
fillColor : "rgba(220,220,220,0.5)",
strokeColor : "rgba(220,220,220,1)",
pointColor : "rgba(220,220,220,1)",
pointStrokeColor : "#fff",
data : [65,59,90,81,56,55,40]
},
{
fillColor : "rgba(151,187,205,0.5)",
strokeColor : "rgba(151,187,205,1)",
pointColor : "rgba(151,187,205,1)",
pointStrokeColor : "#fff",
data : [28,48,40,19,96,27,100]
}
]
}The line chart requires an array of labels for each of the data points. This is show on the X axis.
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.
图表参数
Line.defaults = {
//Boolean - If we show the scale above the chart data
scaleOverlay : false,
//Boolean - If we want to override with a hard coded scale
scaleOverride : false,
//** Required if scaleOverride is true **
//Number - The number of steps in a hard coded scale
scaleSteps : null,
//Number - The value jump in the hard coded scale
scaleStepWidth : null,
//Number - The scale starting value
scaleStartValue : null,
//String - Colour of the scale line
scaleLineColor : "rgba(0,0,0,.1)",
//Number - Pixel width of the scale line
scaleLineWidth : 1,
//Boolean - Whether to show labels on the scale
scaleShowLabels : false,
//Interpolated JS string - can access value
scaleLabel : "<%=value%>",
//String - Scale label font declaration for the scale label
scaleFontFamily : "'Arial'",
//Number - Scale label font size in pixels
scaleFontSize : 12,
//String - Scale label font weight style
scaleFontStyle : "normal",
//String - Scale label font colour
scaleFontColor : "#666",
///Boolean - Whether grid lines are shown across the chart
scaleShowGridLines : true,
//String - Colour of the grid lines
scaleGridLineColor : "rgba(0,0,0,.05)",
//Number - Width of the grid lines
scaleGridLineWidth : 1,
//Boolean - Whether the line is curved between points
bezierCurve : true,
//Boolean - Whether to show a dot for each point
pointDot : true,
//Number - Radius of each point dot in pixels
pointDotRadius : 3,
//Number - Pixel width of point dot stroke
pointDotStrokeWidth : 1,
//Boolean - Whether to show a stroke for datasets
datasetStroke : true,
//Number - Pixel width of dataset stroke
datasetStrokeWidth : 2,
//Boolean - Whether to fill the dataset with a colour
datasetFill : true,
//Boolean - Whether to animate the chart
animation : true,
//Number - Number of animation steps
animationSteps : 60,
//String - Animation easing effect
animationEasing : "easeOutQuart",
//Function - Fires when the animation is complete
onAnimationComplete : null
}柱状图（Bar chart）
简介
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.
使用案例
new Chart(ctx).Bar(data,options);数据结构
var data = {
labels : ["January","February","March","April","May","June","July"],
datasets : [
{
fillColor : "rgba(220,220,220,0.5)",
strokeColor : "rgba(220,220,220,1)",
data : [65,59,90,81,56,55,40]
},
{
fillColor : "rgba(151,187,205,0.5)",
strokeColor : "rgba(151,187,205,1)",
data : [28,48,40,19,96,27,100]
}
]
}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. Again, colours are in CSS format.
We have an array of labels too for display. In the example, we are showing the same data as the previous line chart example.
图表参数
Bar.defaults = {
//Boolean - If we show the scale above the chart data
scaleOverlay : false,
//Boolean - If we want to override with a hard coded scale
scaleOverride : false,
//** Required if scaleOverride is true **
//Number - The number of steps in a hard coded scale
scaleSteps : null,
//Number - The value jump in the hard coded scale
scaleStepWidth : null,
//Number - The scale starting value
scaleStartValue : null,
//String - Colour of the scale line
scaleLineColor : "rgba(0,0,0,.1)",
//Number - Pixel width of the scale line
scaleLineWidth : 1,
//Boolean - Whether to show labels on the scale
scaleShowLabels : false,
//Interpolated JS string - can access value
scaleLabel : "<%=value%>",
//String - Scale label font declaration for the scale label
scaleFontFamily : "'Arial'",
//Number - Scale label font size in pixels
scaleFontSize : 12,
//String - Scale label font weight style
scaleFontStyle : "normal",
//String - Scale label font colour
scaleFontColor : "#666",
///Boolean - Whether grid lines are shown across the chart
scaleShowGridLines : true,
//String - Colour of the grid lines
scaleGridLineColor : "rgba(0,0,0,.05)",
//Number - Width of the grid lines
scaleGridLineWidth : 1,
//Boolean - If there is a stroke on each bar
barShowStroke : true,
//Number - Pixel width of the bar stroke
barStrokeWidth : 2,
//Number - Spacing between each of the X value sets
barValueSpacing : 5,
//Number - Spacing between data sets within X values
barDatasetSpacing : 1,
//Boolean - Whether to animate the chart
animation : true,
//Number - Number of animation steps
animationSteps : 60,
//String - Animation easing effect
animationEasing : "easeOutQuart",
//Function - Fires when the animation is complete
onAnimationComplete : null
}雷达图或蛛网图（Radar chart）
简介
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
使用案例
new Chart(ctx).Radar(data,options);数据结构
var data = {
labels : ["Eating","Drinking","Sleeping","Designing","Coding","Partying","Running"],
datasets : [
{
fillColor : "rgba(220,220,220,0.5)",
strokeColor : "rgba(220,220,220,1)",
pointColor : "rgba(220,220,220,1)",
pointStrokeColor : "#fff",
data : [65,59,90,81,56,55,40]
},
{
fillColor : "rgba(151,187,205,0.5)",
strokeColor : "rgba(151,187,205,1)",
pointColor : "rgba(151,187,205,1)",
pointStrokeColor : "#fff",
data : [28,48,40,19,96,27,100]
}
]
}For a radar chart, usually you will want to show a label on each point of the chart, so we include an array of strings that we show around each point in the chart. If you do not want this, you can either not include the array of labels, or choose to hide them in the chart options.
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.
图表
Radar.defaults = {
//Boolean - If we show the scale above the chart data
scaleOverlay : false,
//Boolean - If we want to override with a hard coded scale
scaleOverride : false,
//** Required if scaleOverride is true **
//Number - The number of steps in a hard coded scale
scaleSteps : null,
//Number - The value jump in the hard coded scale
scaleStepWidth : null,
//Number - The centre starting value
scaleStartValue : null,
//Boolean - Whether to show lines for each scale point
scaleShowLine : true,
//String - Colour of the scale line
scaleLineColor : "rgba(0,0,0,.1)",
//Number - Pixel width of the scale line
scaleLineWidth : 1,
//Boolean - Whether to show labels on the scale
scaleShowLabels : false,
//Interpolated JS string - can access value
scaleLabel : "<%=value%>",
//String - Scale label font declaration for the scale label
scaleFontFamily : "'Arial'",
//Number - Scale label font size in pixels
scaleFontSize : 12,
//String - Scale label font weight style
scaleFontStyle : "normal",
//String - Scale label font colour
scaleFontColor : "#666",
//Boolean - Show a backdrop to the scale label
scaleShowLabelBackdrop : true,
//String - The colour of the label backdrop
scaleBackdropColor : "rgba(255,255,255,0.75)",
//Number - The backdrop padding above & below the label in pixels
scaleBackdropPaddingY : 2,
//Number - The backdrop padding to the side of the label in pixels
scaleBackdropPaddingX : 2,
//Boolean - Whether we show the angle lines out of the radar
angleShowLineOut : true,
//String - Colour of the angle line
angleLineColor : "rgba(0,0,0,.1)",
//Number - Pixel width of the angle line
angleLineWidth : 1,
//String - Point label font declaration
pointLabelFontFamily : "'Arial'",
//String - Point label font weight
pointLabelFontStyle : "normal",
//Number - Point label font size in pixels
pointLabelFontSize : 12,
//String - Point label font colour
pointLabelFontColor : "#666",
//Boolean - Whether to show a dot for each point
pointDot : true,
//Number - Radius of each point dot in pixels
pointDotRadius : 3,
//Number - Pixel width of point dot stroke
pointDotStrokeWidth : 1,
//Boolean - Whether to show a stroke for datasets
datasetStroke : true,
//Number - Pixel width of dataset stroke
datasetStrokeWidth : 2,
//Boolean - Whether to fill the dataset with a colour
datasetFill : true,
//Boolean - Whether to animate the chart
animation : true,
//Number - Number of animation steps
animationSteps : 60,
//String - Animation easing effect
animationEasing :