======================
Web Widget Bokeh Chart
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This module add the possibility to insert Bokeh charts into Odoo
standard views.
|Bokeh Chart inserted into an Odoo view|
Bokeh <https://bokeh.pydata.org>
__ is a Python interactive
visualization library that targets modern web browsers for presentation.
Its goal is to provide elegant, concise construction of basic
exploratory and advanced custom graphics in the style of D3.js, but also
deliver this capability with high-performance interactivity over very
large or streaming datasets. Bokeh can help anyone who would like to
quickly and easily create interactive plots, dashboards, and data
applications.
If you want to see some samples of bokeh's capabilities follow this
link <https://bokeh.pydata.org/en/latest/docs/gallery.html>
__.
.. |Bokeh Chart inserted into an Odoo view| image:: https://raw.githubusercontent.com/OCA/web/18.0/web_widget_bokeh_chart/static/description/example.png
Table of contents
.. contents::
:local:
Installation
You need to install the python bokeh library:
::
pip3 install bokeh==3.1.1
Usage
To insert a Bokeh chart in a view proceed as follows:
Using a Char field
-
Declare a text computed field like this:
::
bokeh_chart = fields.Text(
string='Bokeh Chart',
compute='_compute_bokeh_chart',
)
-
At the top of the module add the following imports:
::
from bokeh.plotting import figure
from bokeh.embed import components
import json
-
In its computed method do:
::
def _compute_bokeh_chart(self):
for rec in self:
# Design your bokeh figure:
p = figure()
line = p.line([0, 2], [1, 8], line_width=5)
# (...)
# fill the record field with both markup and the script of a chart.
script, div = components(p, wrap_script=False)
rec.bokeh_chart = json.dumps({"div": div, "script": script})
-
In the view, add something like this wherever you want to display
your bokeh chart:
::
Using a Json field
-
Declare a json computed field like this:
::
bokeh_chart = fields.Json(
string='Bokeh Chart',
compute='_compute_bokeh_chart',
)
-
At the top of the module add the following imports:
::
from bokeh.plotting import figure
from bokeh.embed import components
-
In its computed method do:
::
def _compute_bokeh_chart(self):
for rec in self:
# Design your bokeh figure:
p = figure()
line = p.line([0, 2], [1, 8], line_width=5)
# (...)
# fill the record field with both markup and the script of a chart.
script, div = components(p, wrap_script=False)
rec.bokeh_chart = {"div": div, "script": script}
-
In the view, add something like this wherever you want to display
your bokeh chart:
::
Known issues / Roadmap
- On 17, we could remove the char field and only use the Json Field
Bug Tracker
Bugs are tracked on GitHub Issues <https://github.com/OCA/web/issues>
.
In case of trouble, please check there if your issue has already been reported.
If you spotted it first, help us to smash it by providing a detailed and welcomed
feedback <https://github.com/OCA/web/issues/new?body=module:%20web_widget_bokeh_chart%0Aversion:%2018.0%0A%0A**Steps%20to%20reproduce**%0A-%20...%0A%0A**Current%20behavior**%0A%0A**Expected%20behavior**>
.
Do not contact contributors directly about support or help with technical issues.
Credits
Authors
Contributors
Other credits
- This module uses the library
Bokeh <https://github.com/bokeh/bokeh>
__ which is under the
open-source BSD 3-clause "New" or "Revised" License. Copyright (c)
2012, Anaconda, Inc.
- Odoo Community Association (OCA)
Maintainers
This module is maintained by the OCA.
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OCA, or the Odoo Community Association, is a nonprofit organization whose
mission is to support the collaborative development of Odoo features and
promote its widespread use.
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Current maintainers <https://odoo-community.org/page/maintainer-role>
__:
|maintainer-LoisRForgeFlow| |maintainer-JasminSForgeFlow|
This module is part of the OCA/web <https://github.com/OCA/web/tree/18.0/web_widget_bokeh_chart>
_ project on GitHub.
You are welcome to contribute. To learn how please visit https://odoo-community.org/page/Contribute.