A Django package for plotting charts using the excellent Chart.JS library.
Python HTML
Latest commit a15f656 Feb 6, 2017 @matthisk committed on GitHub Update README.md

README.md

django-jchart

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This Django app enables you to configure and render Chart.JS charts directly from your Django codebase. Charts can than either be rendered directly into your Django template or served asynchronously to the webbrowser.

Getting Started

install django-jchart

pip install django-jchart

Add django-jchart to your installed apps.

INSTALLED_APPS = (
    '...',
    'jchart',
)

(Code) Examples

The main webpage for this repository contains examples for all different chart types.

Documentation

Frontend Dependencies

For the charts to be rendered inside the browser you will need to include the Chart.JS library. Add the following HTML before your closing </body> tag:

<script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.4.0/Chart.bundle.min.js"></script>

If you want to make use of asynchronous loading charts you will also need to include jQuery:

<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.1.1/jquery.min.js"></script>

The Chart Class

At the heart of this charting library lies the Chart class. This class describes a chart, and defines which data it should display. The chart's class fields map to Chart.JS options which describe how the chart should render and behave. There is a method that should be implemented in the chart class that defines which datasets are to be plotted, this method should be called get_datasets.

To define which type of chart you want to render (e.g. a line or bar chart), your chart class should set it's class field chart_type to one of "line", "bar", "radar", "polarArea", "pie", or "bubble". A chart class without this field is invalid and initialization will result in a ImproperlyConfigured exception.

from jchart import Chart

class LineChart(Chart):
    chart_type = 'line'
get_datasets

The get_datasets method should return a list of datasets this chart should display. Where a dataset is a dictionary with key/value configuration pairs (see the Chart.JS documentation).

from jchart import Chart

class LineChart(Chart):
    chart_type = 'line'

    def get_datasets(self, **kwargs):
        return [{
            'label': "My Dataset",
            'data': [69, 30, 45, 60, 55]
        }]
get_labels

This method allows you to set the Chart.JS data.labels parameter. Which allows you to configure categorical axes. For an example on how to use this feature see this pie chart.

from jchart import Chart

class PieChart(Chart):
    chart_type = 'pie'

    def get_labels(self, **kwargs):
        return ['Red', 'Blue']

Configuring Charts

A chart can be configured through the following class fields:

scales layout title legend tooltips hover animation elements responsive

All of these fields map to the same key in the Chart.JS 'options' object. For instance, if you wanted to create a chart that does not render responsively you would set the responsive class field to false:

from jchart import Chart

class UnresponsiveLineChart(Chart):
    chart_type = 'line'
    responsive = False
    # ...

Most of these class fields require either a list of dicitonaries or a dictionary. With the exception of responsive which should be a boolean value. Be sure to read the Chart.JS documentation on how to use these configuration options.

For your convenience there are some methods located in jchart.config which can be used to produce correct dictionaries to configure Chart.JS properties. Most of these methods only serve as a validation step for your input configuration but some can also transform the input configuration. Lets take a look at an example, how would you configure the X-Axis so it wouldn't be displayed:

from jchart import Chart
from jchart.config import Axes

class LineChart(Chart):
    chart_type = 'line'
    scales = {
        'xAxes': [Axes(display=False)],
    }

jchart.config also contains a method to create dataset configuration dictionaries. One of the advantages of using this method is that it includes a special property color which can be used to automatically set the values for: 'backgroundColor', 'pointBackgroundColor', 'borderColor', 'pointBorderColor', and 'pointStrokeColor'.

from jchart import Chart
from jchart.config import Axes

class LineChart(Chart):
    chart_type = 'line'
    
    def get_datasets(self, **kwargs):
        return [DataSet(color=(255, 255, 255), data=[])]

The jchart.config module contains methods for the properties listed below. Keep in mind that you are in no way obligated to use these methods, you could also supply Python dictionaries in the place of these method calls.

Available Configuration Convenience methods:
Axes, ScaleLabel, Tick, DataSet, Tooltips, Legend, LegendLabel, Title, Hover, InteractionModes, Animation, Element, ElementArc, ElementLine, ElementPoint, ElementRectangle

Rendering Charts

Chart instances can be passed to your Django template context. Inside the template you can invoke the method `as_html` on the chart instance to render the chart.

# LineChart is a class inheriting from jchart.Chart

def some_view(request):
    render(request, 'template.html', {
        'line_chart': LineChart(),
    })

The following code is an example of how to render this line chart inside your html template:

{{ line_chart.as_html }}

Asynchronous Charts

While rendering the chart directly into your HTML template, all the data needed for the chart is transmitted on the page's HTTP request. It is also possible to load the chart (and its required data) asynchronous.

To do this we need to setup a url endpoint from which to load the chart's data. There is a classmethod available on jchart.ChartView to automatically create a view which exposes the chart's configuration data as JSON on a HTTP get request:

from jchart.views import ChartView

# LineChart is a class inheriting from jchart.Chart
line_chart = LineChart()

urlpatterns = [
    url(r'^charts/line_chart/$', ChartView.from_chart(line_chart), name='line_chart'),
]

You can use a custom templatetag inside your Django template to load this chart asynchronously. The custom tag behaves like the Django url templatetag and any positional or keyword arguments supplied to it are used to resolve the url for the given url name. In this example the url does not require any url parameters to be resolved:

{% load jchart %}

{% render_chart 'line_chart' %}

This tag will be expanded into the following JS/HTML code:

<canvas class="chart" id="unique-chart-id">
</canvas>

<script type="text/javascript">
window.addEventListener("DOMContentLoaded", function() {
    $.get('/charts/line_chart/', function(configuration) {
        var ctx = document.getElementById("unique-chart-id").getContext("2d");    

        new Chart(ctx, configuration);
    });
});
</script>

ToDO

  • Composable datasources (instead of having to rely on inheritance)
  • Compare django-jchart to other Django chartig libraries (in the readme)