Setup:
Download Chart.js from their website.
If you have bower installed you can use it to fetch Chart.js like this:
bower install Chart.js --saveOnce you have the chart.js or chart.min.js file you want to move it to your
vendor/assets/javascripts directory. In order for the Rails Asset Pipeline to
include your JS file we need to add a line to application.js:
Here is the line to add:
# app/assets/javascripts/application.js
// This is a manifest file that'll be compiled into application.js, which will include all the files
// listed below.
//
// Any JavaScript/Coffee file within this directory, lib/assets/javascripts, vendor/assets/javascripts,
// or any plugin's vendor/assets/javascripts directory can be referenced here using a relative path.
//
// It's not advisable to add code directly here, but if you do, it'll appear at the bottom of the
// compiled file.
//
// Read Sprockets README (https://github.com/rails/sprockets#sprockets-directives) for details
// about supported directives.
//
//= require jquery
//= require jquery_ujs
//= require foundation
//= require Chart // THIS IS THE LINE WE NEED TO ADD
//= require_tree .Note: if you are using the chart.min.js file then you might need to type
in //= require chart.min
Chart.js has a global configuration object that allows you to make adjustments to all charts in your application. You can either just include that in application.js or you can extract it out into its own file. I would recommend putting it in its own file but for this tutorial we will just get it working the easiest way possible.
Go ahead and add this to your application.js:
Chart.defaults.global = {
// Boolean - Whether to animate the chart
animation: true,
// Number - Number of animation steps
animationSteps: 60,
// String - Animation easing effect
animationEasing: "easeOutQuart",
// Boolean - If we should show the scale at all
showScale: true,
// 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: true,
// Interpolated JS string - can access value
scaleLabel: "<%=value%>",
// Boolean - Whether the scale should stick to integers, not floats even if drawing space is there
scaleIntegersOnly: true,
// Boolean - Whether the scale should start at zero, or an order of magnitude down from the lowest value
scaleBeginAtZero: false,
// String - Scale label font declaration for the scale label
scaleFontFamily: "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif",
// 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 or not the chart should be responsive and resize when the browser does.
responsive: false,
// Boolean - whether to maintain the starting aspect ratio or not when responsive, if set to false, will take up entire container
maintainAspectRatio: true,
// Boolean - Determines whether to draw tooltips on the canvas or not
showTooltips: true,
// Function - Determines whether to execute the customTooltips function instead of drawing the built in tooltips (See [Advanced - External Tooltips](#advanced-usage-custom-tooltips))
customTooltips: false,
// Array - Array of string names to attach tooltip events
tooltipEvents: ["mousemove", "touchstart", "touchmove"],
// String - Tooltip background colour
tooltipFillColor: "rgba(0,0,0,0.8)",
// String - Tooltip label font declaration for the scale label
tooltipFontFamily: "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif",
// Number - Tooltip label font size in pixels
tooltipFontSize: 14,
// String - Tooltip font weight style
tooltipFontStyle: "normal",
// String - Tooltip label font colour
tooltipFontColor: "#fff",
// String - Tooltip title font declaration for the scale label
tooltipTitleFontFamily: "'Helvetica Neue', 'Helvetica', 'Arial', sans-serif",
// Number - Tooltip title font size in pixels
tooltipTitleFontSize: 14,
// String - Tooltip title font weight style
tooltipTitleFontStyle: "bold",
// String - Tooltip title font colour
tooltipTitleFontColor: "#fff",
// Number - pixel width of padding around tooltip text
tooltipYPadding: 6,
// Number - pixel width of padding around tooltip text
tooltipXPadding: 6,
// Number - Size of the caret on the tooltip
tooltipCaretSize: 8,
// Number - Pixel radius of the tooltip border
tooltipCornerRadius: 6,
// Number - Pixel offset from point x to tooltip edge
tooltipXOffset: 10,
// String - Template string for single tooltips
tooltipTemplate: "<%if (label){%><%=label%>: <%}%><%= value %>",
// String - Template string for multiple tooltips
multiTooltipTemplate: "<%= value %>",
// Function - Will fire on animation progression.
onAnimationProgress: function(){},
// Function - Will fire on animation completion.
onAnimationComplete: function(){}
}Note: Make sure it is inside your jquery $(function(){} block.
Chart.js takes advantage of HTML5 canvas in order to display the graphs. In order to render a graph we need to create a blank canvas in one of our views.
# views/homes/index.html.erb
<canvas id="myChart" width="400" height"400"></canvas>First we need to grab the canvas and call the .getContext() method in order
for the canvas to be drawable. Then we can instantiate a new chart with
specific data. Here is an example of a line graph that I copied from the
Chart.js website:
var ctx = $('#myChart').get(0).getContext("2d"); // grabs the canvas and makes
// it drawable
var data = {
labels: ["January", "February", "March", "April", "May", "June", "July"],
datasets: [
{
label: "My First dataset",
fillColor: "rgba(220,220,220,0.2)",
strokeColor: "rgba(220,220,220,1)",
pointColor: "rgba(220,220,220,1)",
pointStrokeColor: "#fff",
pointHighlightFill: "#fff",
pointHighlightStroke: "rgba(220,220,220,1)",
data: [65, 59, 80, 81, 56, 55, 40]
},
{
label: "My Second dataset",
fillColor: "rgba(151,187,205,0.2)",
strokeColor: "rgba(151,187,205,1)",
pointColor: "rgba(151,187,205,1)",
pointStrokeColor: "#fff",
pointHighlightFill: "#fff",
pointHighlightStroke: "rgba(151,187,205,1)",
data: [28, 48, 40, 19, 86, 27, 90]
}
]
}; // some sample data we will use to make the graph
var myLineChart = new Chart(ctx).Line(data); // instantiate new graph with dataThere you have it! Now chart.js is set up in your app. View their websites documentation in order to learn more about the different types of graphs you can make.
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