Create charts in Wagtail streamfields using the Grafl.io plotting service.
Install from PyPI:
pip install wagtail-grafl
Then add the following to your project's INSTALLED_APPS.
'wagtail_grafl',
There are currently three blocks available in wagtail-grafl.
The primary block used for creating basic Grafl plots.
It consists of a single JSON field for entering Grafl plot data. It inherits from BaseGraflBlock.
Simple formatted JSON field with basic validation and included in GraflBlock.
The BaseGraflBlock is provided to make it easy to extend wagtail-grafl and build your own bespoke Grafl blocks.
It provides the get_grafl_data method that needs to be overridden in any blocks that inherit from this.
The get_grafl_data method should return a dictionary of Grafl compatible data.
This make it possible for custom blocks to pull in data from other sources and generate Grafl plots programatically.
- WAGTAIL_GRAFL_PLOT_DEFAULTS - a optional dictionary of default parameters that is merged with the blocks grafl data. This is useful for specifying parameters that should be consistent across all Grafl plot blocks.
Add the StreamBlock to a StreamField on a Wagtail page:
from wagtail import blocks
from wagtail_grafl.blocks import GraflBlock
class MyStreamBlock(blocks.StreamBlock):
grafl_plot = GraflBlock()
Add the StreamBlock to a StreamField on a Wagtail page:
from wagtail.admin.edit_handlers import StreamFieldPanel
from wagtail.fields import StreamField
from wagtail.models import Page
from .blocks import MyStreamBlock
class MyPage(Page):
body = StreamField(MyStreamBlock(), null=True)
content_panels = Page.content_panels + [
StreamFieldPanel('body'),
]
Then in the page template:
{% load static wagtailcore_tags %}
{% include_block page.body %}
Grafl is a plotting service that can be used to generate plots from basic JSON data. It's based on Plotly, free to use and very flexible.