| Name | ipympl JSON |
| Version |
0.9.4
JSON |
| download |
| home_page | None |
| Summary | Matplotlib Jupyter Extension |
| upload_time | 2024-04-15 13:21:03 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | Copyright (c) 2016, Matplotlib 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: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. 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. 3. Neither the name of the copyright holder nor the names of its 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 HOLDER 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 |
graphics
ipython
jupyter
widgets
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# ipympl
[](https://github.com/matplotlib/ipympl/actions/workflows/main.yml?query=branch%3Amain)
[](https://pypi.python.org/pypi/ipympl)
[](https://anaconda.org/conda-forge/ipympl)
[](https://www.npmjs.com/package/jupyter-matplotlib)
[](https://mybinder.org/v2/gh/matplotlib/ipympl/stable?urlpath=retro/notebooks/docs/examples/full-example.ipynb)
[](https://gitter.im/jupyter-widgets/Lobby)
Leveraging the Jupyter interactive widgets framework, `ipympl` enables the interactive features of matplotlib in the Jupyter notebook and in JupyterLab.
Besides, the figure `canvas` element is a proper Jupyter interactive widget which can be positioned in interactive widget layouts.
## Usage
To enable the `ipympl` backend, simply use the `matplotlib` Jupyter
magic:
```
%matplotlib widget
```
## Documentation
See the documentation at: https://matplotlib.org/ipympl/
## Example
See the [example notebook](https://github.com/matplotlib/ipympl/blob/main/docs/examples/full-example.ipynb) for more!
## Installation
### With conda:
```bash
conda install -c conda-forge ipympl
```
### With pip:
```bash
pip install ipympl
```
### Use in JupyterLab
If you want to use ipympl in JupyterLab, we recommend using JupyterLab >= 3.
If you use JupyterLab 2, you still need to install the labextension manually:
```bash
conda install -c conda-forge nodejs
jupyter labextension install @jupyter-widgets/jupyterlab-manager jupyter-matplotlib
```
#### Install an old JupyterLab extension
If you are using JupyterLab 1 or 2, you will need to install the right `jupyter-matplotlib` version, according to the `ipympl` and `jupyterlab` versions you installed.
For example, if you installed ipympl `0.5.1`, you need to install jupyter-matplotlib `0.7.0`, and this version is only compatible with JupyterLab `1`.
```bash
conda install -c conda-forge ipympl==0.5.1
jupyter labextension install @jupyter-widgets/jupyterlab-manager jupyter-matplotlib@0.7.0
```
Versions lookup table:
| `ipympl` | `jupyter-matplotlib` | `JupyterLab` | `Matplotlib` |
|----------|----------------------|--------------|--------------|
| 0.9.3+ | 0.11.3+ | >=2,<5 | 3.4.0>= |
| 0.9.0-2 | 0.11.0-2 | >=2,<5 | 3.4.0>= <3.7|
| 0.8.8 | 0.10.x | >=2,<5 | 3.3.1>= <3.7|
| 0.8.0-7 | 0.10.x | >=2,<5 | 3.3.1>=, <3.6|
| 0.7.0 | 0.9.0 | >=2,<5 | 3.3.1>= |
| 0.6.x | 0.8.x | >=2,<5 | 3.3.1>=, <3.4|
| 0.5.8 | 0.7.4 | >=1,<3 | 3.3.1>=, <3.4|
| 0.5.7 | 0.7.3 | >=1,<3 | 3.2.* |
| ... | ... | ... | |
| 0.5.3 | 0.7.2 | >=1,<3 | |
| 0.5.2 | 0.7.1 | >=1,<2 | |
| 0.5.1 | 0.7.0 | >=1,<2 | |
| 0.5.0 | 0.6.0 | >=1,<2 | |
| 0.4.0 | 0.5.0 | >=1,<2 | |
| 0.3.3 | 0.4.2 | >=1,<2 | |
| 0.3.2 | 0.4.1 | >=1,<2 | |
| 0.3.1 | 0.4.0 | >=0<2 | |
### For a development installation (requires nodejs):
Create a dev environment that has nodejs installed. The instructions here use
[mamba](https://github.com/mamba-org/mamba#the-fast-cross-platform-package-manager) but you
can also use conda.
```bash
mamba env create --file dev-environment.yml
conda activate ipympl-dev
```
Install the Python Packge
```bash
pip install -e .
```
When developing your extensions, you need to manually enable your extensions with the
notebook / lab frontend. For lab, this is done by the command:
```bash
jupyter labextension develop --overwrite .
jlpm build
```
For classic notebook, you need to run:
```bash
jupyter nbextension install --py --symlink --sys-prefix --overwrite ipympl
jupyter nbextension enable --py --sys-prefix ipympl
```
#### How to see your changes
**Typescript**:
If you use JupyterLab to develop then 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 widget.
```bash
# Watch the source directory in one terminal, automatically rebuilding when needed
jlpm watch
# Run JupyterLab in another terminal
jupyter lab
```
After a change wait for the build to finish and then refresh your browser and the changes should take effect.
**Python:**
If you make a change to the python code then you will need to restart the notebook kernel to have it take effect.
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"description": "# ipympl\n\n[](https://github.com/matplotlib/ipympl/actions/workflows/main.yml?query=branch%3Amain)\n[](https://pypi.python.org/pypi/ipympl)\n[](https://anaconda.org/conda-forge/ipympl)\n[](https://www.npmjs.com/package/jupyter-matplotlib)\n[](https://mybinder.org/v2/gh/matplotlib/ipympl/stable?urlpath=retro/notebooks/docs/examples/full-example.ipynb)\n[](https://gitter.im/jupyter-widgets/Lobby)\n\nLeveraging the Jupyter interactive widgets framework, `ipympl` enables the interactive features of matplotlib in the Jupyter notebook and in JupyterLab.\n\nBesides, the figure `canvas` element is a proper Jupyter interactive widget which can be positioned in interactive widget layouts.\n\n\n## Usage\n\nTo enable the `ipympl` backend, simply use the `matplotlib` Jupyter\nmagic:\n\n```\n%matplotlib widget\n```\n## Documentation\nSee the documentation at: https://matplotlib.org/ipympl/\n## Example\nSee the [example notebook](https://github.com/matplotlib/ipympl/blob/main/docs/examples/full-example.ipynb) for more!\n\n\n\n## Installation\n\n### With conda:\n\n```bash\nconda install -c conda-forge ipympl\n```\n\n### With pip:\n\n```bash\npip install ipympl\n```\n\n### Use in JupyterLab\n\nIf you want to use ipympl in JupyterLab, we recommend using JupyterLab >= 3.\n\nIf you use JupyterLab 2, you still need to install the labextension manually:\n\n```bash\nconda install -c conda-forge nodejs\njupyter labextension install @jupyter-widgets/jupyterlab-manager jupyter-matplotlib\n```\n\n#### Install an old JupyterLab extension\n\nIf you are using JupyterLab 1 or 2, you will need to install the right `jupyter-matplotlib` version, according to the `ipympl` and `jupyterlab` versions you installed.\nFor example, if you installed ipympl `0.5.1`, you need to install jupyter-matplotlib `0.7.0`, and this version is only compatible with JupyterLab `1`.\n\n```bash\nconda install -c conda-forge ipympl==0.5.1\njupyter labextension install @jupyter-widgets/jupyterlab-manager jupyter-matplotlib@0.7.0\n```\n\nVersions lookup table:\n\n| `ipympl` | `jupyter-matplotlib` | `JupyterLab` | `Matplotlib` |\n|----------|----------------------|--------------|--------------|\n| 0.9.3+ | 0.11.3+ | >=2,<5 | 3.4.0>= |\n| 0.9.0-2 | 0.11.0-2 | >=2,<5 | 3.4.0>= <3.7|\n| 0.8.8 | 0.10.x | >=2,<5 | 3.3.1>= <3.7|\n| 0.8.0-7 | 0.10.x | >=2,<5 | 3.3.1>=, <3.6|\n| 0.7.0 | 0.9.0 | >=2,<5 | 3.3.1>= |\n| 0.6.x | 0.8.x | >=2,<5 | 3.3.1>=, <3.4|\n| 0.5.8 | 0.7.4 | >=1,<3 | 3.3.1>=, <3.4|\n| 0.5.7 | 0.7.3 | >=1,<3 | 3.2.* |\n| ... | ... | ... | |\n| 0.5.3 | 0.7.2 | >=1,<3 | |\n| 0.5.2 | 0.7.1 | >=1,<2 | |\n| 0.5.1 | 0.7.0 | >=1,<2 | |\n| 0.5.0 | 0.6.0 | >=1,<2 | |\n| 0.4.0 | 0.5.0 | >=1,<2 | |\n| 0.3.3 | 0.4.2 | >=1,<2 | |\n| 0.3.2 | 0.4.1 | >=1,<2 | |\n| 0.3.1 | 0.4.0 | >=0<2 | |\n\n### For a development installation (requires nodejs):\n\nCreate a dev environment that has nodejs installed. The instructions here use\n[mamba](https://github.com/mamba-org/mamba#the-fast-cross-platform-package-manager) but you\ncan also use conda.\n\n```bash\nmamba env create --file dev-environment.yml\nconda activate ipympl-dev\n```\n\nInstall the Python Packge\n```bash\npip install -e .\n```\n\nWhen developing your extensions, you need to manually enable your extensions with the\nnotebook / lab frontend. For lab, this is done by the command:\n\n```bash\njupyter labextension develop --overwrite .\njlpm build\n```\n\nFor classic notebook, you need to run:\n```bash\njupyter nbextension install --py --symlink --sys-prefix --overwrite ipympl\njupyter nbextension enable --py --sys-prefix ipympl\n```\n\n#### How to see your changes\n\n**Typescript**:\n\nIf you use JupyterLab to develop then 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 widget.\n\n```bash\n# Watch the source directory in one terminal, automatically rebuilding when needed\njlpm watch\n# Run JupyterLab in another terminal\njupyter lab\n```\n\nAfter a change wait for the build to finish and then refresh your browser and the changes should take effect.\n\n**Python:**\n\nIf you make a change to the python code then you will need to restart the notebook kernel to have it take effect.\n",
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