wagtailcharts 0.1

Chart.js charts for Wagtail

Wagtail Charts

Chart.js charts in Wagtail, edited and customised from the Wagtail admin

Getting started

Assuming you have a Wagtail project up and running:

pip install wagtailcharts

Add wagtailcharts to your settings.py in the INSTALLED_APPS section, before the core wagtail packages:

INSTALLED_APPS = [
    # ...
    'wagtailcharts',
    # ...
]

Add a wagtailcharts ChartBlock to one of your StreamFields:

from wagtailcharts.blocks import ChartBlock

class ContentBlocks(StreamBlock):
    chart_block = ChartBlock()

Include your streamblock in one of your pages

class HomePage(Page):
    body = StreamField(ContentBlocks())

    content_panels = Page.content_panels + [
        StreamFieldPanel('body'),
    ]

Add the wagtailcharts_tags templatetag to your template and call the render_charts tag just before your </body> closing tag. Please note that you must render your chart block so that the render_charts tag can detect the charts. Here is a tiny example of a page rendering template:

{% load wagtailcore_tags wagtailcharts_tags %}

{% block content %}
<div class="container-fluid">
    <div class="row">
        <div class="col-6">
            <h1>{{self.title}}</h1>
            <div class="excerpt">{{self.excerpt|richtext}}</div>
        </div>
    </div>
    {% for block in self.body %}
        {% include_block block %}
    {% endfor %}
</div>
{% endblock %}

{% block extra_js %}
{% render_charts %}
{% endblock %}

Configuration

ChartBlock accepts a few extra arguments in addition to the standard StructBlock arguments.

colors

A tuple of color tuples defining the available colors in the editor.

from wagtailcharts.blocks import ChartBlock

COLORS = (
    ('#ff0000', 'Red'),
    ('#00ff00', 'Green'),
    ('#0000ff', 'Blue'),
)

class ContentBlocks(StreamBlock):
    chart_block = ChartBlock(colors=COLORS)

Dependencies

• This project relies on Jspreadsheet Community Edition for data entry and manipulation.
• Charts are rendered using Chart.js.
• 100% stacked bar charts use a plugin https://github.com/y-takey/chartjs-plugin-stacked100