A line chart implementation for AngularJS applications. It makes an extensive use of the wonderful D3.js library.
Here is a demo page.
- Copy
line-chart.min.js
wherever you want - Reference it in your index.html file
- Reference the module in your app file : angular.module('myApp', [ 'n3-charts.linechart' ])
A line chart is called using this syntax :
<linechart data="data" options="options" mode=""></linechart>
The line chart directives needs two attributes : data
and options
. If one is missing, nothing happens.
Your data should look like this :
$scope.data = [
{x: 0, value: 4, otherValue: 14},
{x: 1, value: 8, otherValue: 1},
{x: 2, value: 15, otherValue: 11},
{x: 3, value: 16, otherValue: 147},
{x: 4, value: 23, otherValue: 87},
{x: 5, value: 42, otherValue: 45}
];
Options must be an object with a series array. It should look like this :
$scope.options = {
axes: {
x: {key: 'x', labelFunction: function(value) {return value;}, type: 'linear', tooltipFormatter: function(x) {return x;}},
y: {type: 'linear'},
y2: {type: 'linear'}
},
series: [
{y: 'value', color: 'steelblue', , thickness: '2px', type: 'area', striped: true, label: 'Pouet'},
{y: 'otherValue', axis: 'y2', color: 'lightsteelblue'}
],
lineMode: 'linear',
tension: 0.7
}
The axes
keys can be undefined. Otherwise, it can contain an x̀
key with the following properties :
key
: optional, defines where the chart will look for abscissas values in the data (default is 'x').tooltipFormatter
: optional, allows to format the tooltip. Must be a function that accepts a single argument, the x value. It should return something that will be converted into a string and put in the x tooltip.type
: optional, can be either 'date' or 'linear' (default is 'linear'). If set to 'date', the chart will expect Date objects as abscissas. No transformation is done by the chart itself, so the behavior is basically D3.js' time scale's.labelFunction
: optional, allows to format the axis' ticklabels. Must be a function that accepts a single argument and returns a string.
It can also contain, according to your series configuration, a y
and a y2
key with the following properties :
type
: optional, can be either linear' or 'log' (default is 'linear'). If set to 'log', the data may be clamped if its computed lower bound is 0 (this means the chart won't display an actual 0, but a close value - log scales can't display zero values).
The series
key must be an array which contains objects with the following properties :
y
: mandatory, defines which property on each data row will be used as ordinate value.color
: optional, any valid HTML color (if none given, the chart will set it for you).label
: optional, will be used in the legend (if undefined, they
value will be used).axis
: optional, can be either 'y' (default, for left) or 'y2' (for right). Defines which vertical axis should be used for this series. If no right axis is needed, none will be displayed.type
: optional, can be one value between 'line', 'area', 'column'. Default is 'line'.striped
: optional, can be eithertrue
orfalse
. Default isfalse
. Will be ignored if the series type is not 'area'.thickness
: optional, can be{n}px
. Default is1px
. Will be ignored if the series type is not 'area' or 'line'.
Additionally, you can set lineMode
to a value between these :
- linear (default)
- step-before
- step-after
- basis
- basis-open
- basis-closed
- bundle
- cardinal
- cardinal-open
- cadinal-closed
- monotone
The tension
can be set, too (default is 0.7
). See issue #44 about that.
For more information about interpolation, please consult the D3.js documentation about that.
The mode can be set to 'thumbnail' (default is empty string). If so, the chart will take as much space as it can, and it will only display the series. No axes, no legend, no tooltips. Furthermore, the lines or areas will be drawn without dots. This is convenient for sparklines, for instance.
Fetch the repo :
$ git clone https://github.com/angular-d3/line-chart.git
Install stuff :
$ npm install
Install moar stuff :
$ bower install
Watch :
$ grunt watch
Hack.
AngularJS is designed to be testable, and so is this project. It has a good coverage rate (above 90%), and we want to keep it this way.