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version](https://img.shields.io/conda/vn/conda-forge/ipympl?logo=conda-forge)](https://anaconda.org/conda-forge/ipympl)\n[![Latest npm version](https://img.shields.io/npm/v/jupyter-matplotlib?logo=npm)](https://www.npmjs.com/package/jupyter-matplotlib)\n[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/matplotlib/ipympl/main?urlpath=notebooks/docs/examples/full-example.ipynb)\n[![Gitter](https://img.shields.io/badge/gitter-Join_chat-blue?logo=gitter)](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## Usage\n\nTo enable the `ipympl` backend, simply use the `matplotlib` Jupyter\nmagic:\n\n```\n%matplotlib ipympl\n```\n\n## Documentation\n\nSee the documentation at: <https://matplotlib.org/ipympl/>\n\n## Example\n\nSee the [example notebook](https://github.com/matplotlib/ipympl/blob/main/docs/examples/full-example.ipynb) for more!\n\n![matplotlib screencast](matplotlib.gif)\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| 0.10.0   | 0.12.0               | >=2,<5       | >=3.5.0      |\n| 0.9.5-8  | 0.11.5-8             | >=2,<5       | >=3.5.0      |\n| 0.9.3-4  | 0.11.3-4             | >=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\n\nWe recommend using [pixi](https://pixi.sh) for development as it handles both Python and Node.js dependencies (matplotlib has compiled dependencies).\n\n```bash\n# Install dependencies and set up environment\npixi install\n\n# Install the Python package in editable mode\npixi run pip install -e .\n\n# Install JavaScript dependencies and build\npixi run jlpm install\npixi run jlpm build\n\n# Set up JupyterLab extension in development mode\npixi run jupyter labextension develop --overwrite .\n\n# Start development workflow (in separate terminals)\npixi run npm run watch    # Terminal 1: Auto-rebuild on changes\npixi run jupyter lab      # Terminal 2: Run JupyterLab\n```\n\n**Alternative: Using conda/mamba**\n\n```bash\nmamba env create --file dev-environment.yml\nconda activate ipympl-dev\n\npip install -e .\njlpm install\njlpm build\njupyter labextension develop --overwrite .\n\n# Start development workflow (in separate terminals)\nnpm run watch    # Terminal 1: Auto-rebuild on changes\njupyter lab      # Terminal 2: Run JupyterLab\n```\n\n#### How to see your changes\n\n**TypeScript/JavaScript:** After a change, the watch command will automatically rebuild. Wait for the build to finish, then refresh your browser and the changes should take effect.\n\n**Python:** If you make a change to the Python code, restart the notebook kernel to have it take effect.\n\n#### Classic Jupyter Notebook\n\nIf you need to develop for classic Jupyter Notebook (not JupyterLab), also run:\n\n```bash\n# With pixi:\npixi run jupyter nbextension install --py --symlink --sys-prefix --overwrite ipympl\npixi run jupyter nbextension enable --py --sys-prefix ipympl\n\n# Or with conda/mamba:\njupyter nbextension install --py --symlink --sys-prefix --overwrite ipympl\njupyter nbextension enable --py --sys-prefix ipympl\n```\n","readmeFilename":"README.md"}