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* expand examples

- show setting image data + add explanation of `ioff` and `Output`
- update github link
- mention display(fig) for a static embed
- remove stale example and add comment to main example

* link to example notebook from readme

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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.


To enable the ipympl backend, simply use the matplotlib Jupyter magic:

%matplotlib widget


See the example notebook for more!

matplotlib screencast


With conda:

conda install -c conda-forge ipympl

With pip:

pip install ipympl

Install the JupyterLab extension

In order to install the JupyterLab extension jupyter-matplotlib, you will first need to install nodejs, you can install it with conda doing

conda install -c conda-forge nodejs

Starting from ipympl 0.5.6, you do not need to manually install the JupyterLab extension, but you still need to install the JupyterLab widget manager:

jupyter labextension install @jupyter-widgets/jupyterlab-manager

# If you already installed the @jupyter-widgets/jupyterlab-manager extension, you will still need to rebuild JupyterLab after you installed ipympl
jupyter lab build

Install an old JupyterLab extension

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.

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
0.5.8 0.7.4 1 or 2 3.3.1
0.5.7 0.7.3 1 or 2 3.2.*
... ... ...
0.5.3 0.7.2 1 or 2
0.5.2 0.7.1 1
0.5.1 0.7.0 1
0.5.0 0.6.0 1
0.4.0 0.5.0 1
0.3.3 0.4.2 1
0.3.2 0.4.1 1
0.3.1 0.4.0 0 or 1

For a development installation (requires nodejs):

git clone
cd ipympl
pip install -e .

# If using classic Jupyter Notebook
jupyter nbextension install --py --symlink --sys-prefix ipympl
jupyter nbextension enable --py --sys-prefix ipympl

# If using JupyterLab
jupyter labextension install @jupyter-widgets/jupyterlab-manager --no-build
jupyter labextension install ./js

How to see your changes


To continuously monitor the project for changes and automatically trigger a rebuild, start Jupyter in watch mode:

jupyter lab --watch

After a change wait for the build to finish and then refresh your browser and the changes should take effect.


If you make a change to the python code then you will need to restart the notebook kernel to have it take effect.

You can’t perform that action at this time.