| Name | jupyter_bokeh JSON |
| Version |
4.0.5
JSON |
| download |
| home_page | None |
| Summary | A Jupyter extension for rendering Bokeh content. |
| upload_time | 2024-06-03 06:33:33 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.8 |
| license | Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors
All rights reserved.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
Redistributions of source code must retain the above copyright notice,
this list of conditions and the following disclaimer.
Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
Neither the name of Anaconda nor the names of any contributors
may be used to endorse or promote products derived from this software
without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
THE POSSIBILITY OF SUCH DAMAGE. |
| keywords |
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| VCS |
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| requirements |
No requirements were recorded.
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# jupyter_bokeh
A Jupyter extension for rendering [Bokeh](https://bokeh.org) content within Jupyter. See also the separate [ipywidgets_bokeh](https://github.com/bokeh/ipywidgets_bokeh) library for support for using Jupyter widgets/ipywidgets objects within Bokeh applications.
## Install
For versions 3.0 and newer of JupyterLab, you have the option to install
jupyter_bokeh with either ``pip`` or ``conda``:
```bash
pip install jupyter_bokeh
```
or
```bash
conda install -c conda-forge jupyter_bokeh
```
For versions of Jupyter Lab older than 3.0, you must install the labextension
separately:
```bash
conda install -c conda-forge jupyter_bokeh
jupyter labextension install @jupyter-widgets/jupyterlab-manager
jupyter labextension install @bokeh/jupyter_bokeh
```
To install a specific version:
```bash
jupyter labextension install @bokeh/jupyter_bokeh@x.y.x
```
## Compatibility
The core [Bokeh](https://github.com/bokeh/bokeh) library is generally version independent of
[JupyterLab](https://github.com/jupyterlab/jupyterlab) and this ``jupyter_bokeh`` extension
for versions of ``bokeh>=2.0.0``.
Our goal is that ``jupyter_bokeh`` minor releases (using the [SemVer](https://semver.org/) pattern) are
made to follow JupyterLab minor release bumps, while micro releases are for new ``jupyter_bokeh`` features
or bug fix releases. We've been previously inconsistent with having the extension release minor version bumps
track that of JupyterLab, so users seeking to find extension releases that are compatible with their JupyterLab
installation may refer to the below table.
###### Compatible JupyterLab and `jupyter_bokeh` versions
| JupyterLab | `jupyter_bokeh` |
| ------------- | ---------------- |
| 0.34.x | 0.6.2 |
| 0.35.x | 0.6.3 |
| 1.0.x | 1.0.0 |
| 2.0.x | 2.0.0 |
| 3.0.x | 3.0.0 |
| 4.0.x | 4.0.0 |
## Contributing
### Development install
Note: You will need NodeJS to build the extension package.
The `jlpm` command is JupyterLab's pinned version of
[yarn](https://yarnpkg.com/) that is installed with JupyterLab. You may use
`yarn` or `npm` in lieu of `jlpm` below.
```bash
# Clone the repo to your local environment
# Change directory to the jupyter_bokeh directory
# Install package in development mode
pip install -e .
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# Rebuild extension Typescript source after making changes
jlpm run build
```
You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.
```bash
# Watch the source directory in one terminal, automatically rebuilding when needed
jlpm run watch
# Run JupyterLab in another terminal
jupyter lab
```
With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).
By default, the `jlpm run build` command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:
```bash
jupyter lab build --minimize=False
```
### Uninstall
```bash
pip uninstall jupyter_bokeh
```
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