Yii2 Chart JS
Wrapper for chart js in Yii2. Easily turn Yii2 querys into beautiful charts.
Installation
The preferred way is with composer.
composer require practically/yii2-chartjs
Note: This package does not handle the installation of chart js library. For that you can visit the chart js website
You can also install with the asset packagist
composer require bower-asset/chart-js
Chart JS Versions
Please note that there are API changes in the clientOptions
of the
config for chart js between versions 2 and 3. We have documented the
basic API for this library in the relevent sections of the docs. If
you are updating to v3 you can find more info in the Chart JS 3.x
Migration
Guide
There may be some changes in the way you import the Chat JS javascript depending on the way you have implemented it in your application. You can read more about integration on the Chart JS Documentation
Usage
Basic usage
use practically\chartjs\Chart;
echo Chart::widget([
'type' => Chart::TYPE_BAR,
'datasets' => [
[
'data' => [
'Label 1' => 10,
'Label 2' => 20,
'Label 3' => 30
]
]
]
]);
Using a db query to define the data
echo Chart::widget([
'type' => Chart::TYPE_BAR,
'datasets' => [
[
'query' => Model::find()
->select('type')
->addSelect('count(*) as data')
->groupBy('type')
->createCommand(),
'labelAttribute' => 'type'
]
]
]);
Using a db query with a scatter chart
echo Chart::widget([
'type' => Chart::TYPE_SCATTER,
'datasets' => [
[
'query' => Model::find()
->select('type')
->addSelect('sum(column_one) as x')
->addSelect('sum(column_two) as y')
->groupBy('type')
->createCommand(),
'labelAttribute' => 'type'
]
]
]);
Adding dom options
echo Chart::widget([
...
'options' => [
'class' => 'chart',
'data-attribute' => 'my-value'
],
...
]);
Adding client options
In the client options array you can define any property to be json encoded and passed to the chart js constructor.
echo Chart::widget([
...
'clientOptions' => [
'title' => [
'display' => true,
'text' => 'My New Title',
],
'legend' => ['display' => false],
]
...
]);
Formatting the y axes
Chart JS v2.x
echo Chart::widget([
...
'clientOptions' => [
'scales' => [
'yAxes' => [
[
'ticks' => [
'min' => 0,
'max' => 100,
'callback' => new JsExpression('function(value, index, values) {
return \'£\'+value;
}')
],
'scaleLabel' => [
'display' => true,
'labelString' => 'Average (%)',
]
]
]
],
'tooltips' => [
'callbacks' => [
'label' => new JsExpression('function(tooltipItem, chart) {
var datasetLabel = chart.datasets[tooltipItem.datasetIndex].label || \'\';
return datasetLabel + \' £\'+tooltipItem.yLabel;
}')
]
]
]
...
]);
Chart JS v3.x
echo Chart::widget([
...
'clientOptions' => [
'scales' => [
'y' => [
'min' => 0,
'max' => 100,
'title' => [
'display' => true,
'text' => 'Average (%)',
],
'ticks' => [
'callback' => new JsExpression('function(value, index, values) {
return \'£\'+value;
}')
]
]
],
'plugins' => [
'tooltip' => [
'callbacks' => [
'label' => new JsExpression('function(context) {
return \'£\'+context.chart.data.labels[context.dataIndex];
}')
]
]
]
]
...
]);
Adding chart js events
Chart::widget([
'type' => Chart::TYPE_DOUGHNUT,
'jsVar' => 'DoughnutChart',
'jsEvents' => [
'onclick' => new JsExpression('function(e) {
var el = DoughnutChart.getElementAtEvent(e);
window.location.href = "/search/ + el[0]._model.label;
}')
]
]);
Contributing
Getting set up
Clone the repo and run composer install
.
Then start hacking!
Testing
All new features of bug fixes must be tested. Testing is with phpunit and can be run with the following command
composer run-script test
Coding Standards
This library uses psr2 coding standards and squizlabs/php_codesniffer
for
linting. There is a composer script for this:
composer run-script lint
Pull Requests
Before you create a pull request with you changes, the pre-commit script must pass. That can be run as follows:
composer run-script pre-commit
Credits
This package is created and maintained by Practically.io