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  1. APPS
  2. Technical Settings
  3. Web Widget Bokeh Chart v 12.0
  4. Sales Conditions FAQ

Web Widget Bokeh Chart

by ForgeFlow https://github.com/OCA/web , Odoo Community Association (OCA) https://github.com/OCA/web , Creu Blanca https://github.com/OCA/web
Odoo
v 9.0 v 10.0 v 11.0 v 12.0 Third Party 561
Download for v 12.0 Deploy on Odoo.sh
Apps purchases are linked to your Odoo account, please sign in or sign up first.
Availability
Odoo Online
Odoo.sh
On Premise
Lines of code 40999
Technical Name web_widget_bokeh_chart
LicenseLGPL-3
Websitehttps://github.com/OCA/web
Versions 9.0 10.0 11.0 12.0 14.0 15.0 16.0 17.0 18.0
You bought this module and need support? Click here!

Web Widget Bokeh Chart

Production/Stable License: LGPL-3 OCA/web Translate me on Weblate Try me on Runboat

This module add the possibility to insert Bokeh charts into Odoo standard views.

Bokeh Chart inserted into an Odoo view

Bokeh 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.

Table of contents

  • Installation
  • Usage
  • Bug Tracker
  • Credits
    • Authors
    • Contributors
    • Other credits
    • Maintainers

Installation

You need to install the python bokeh library:

pip3 install bokeh==1.1.0

Usage

To insert a Bokeh chart in a view proceed as follows:

  1. Declare a text computed field like this:

    bokeh_chart = fields.Text(
        string='Bokeh Chart',
        compute='_compute_bokeh_chart',
    )
    
  2. In its computed method do:

    def _compute_bokeh_chart(self):
        for rec in self:
            # Design your bokeh figure:
            p = figure()  # import that as `from bokeh.plotting import 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)
            rec.bokeh_chart = '%s%s' % (div, script)
    
  3. In the view, add something like this wherever you want to display your bokeh chart:

    <div>
        <field name="bokeh_chart" widget="bokeh_chart" nolabel="1"/>
    </div>
    

Bug Tracker

Bugs are tracked on GitHub 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.

Do not contact contributors directly about support or help with technical issues.

Credits

Authors

  • Eficent

Contributors

  • Jordi Ballester Alomar <jordi.ballester@eficent.com>
  • Lois Rilo Antelo <lois.rilo@eficent.com>
  • Artem Kostyuk <a.kostyuk@mobilunity.com>

Other credits

  • This module uses the library 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.

Odoo Community Association

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.

Current maintainer:

lreficent

This module is part of the OCA/web project on GitHub.

You are welcome to contribute. To learn how please visit https://odoo-community.org/page/Contribute.

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