![]() Install the Python Packge pip install -e. mamba env create -file dev-environment.yml The instructions here useĬan also use conda. Jupyter labextension install įor a development installation (requires nodejs):Ĭreate a dev environment that has nodejs installed. conda install -c conda-forge ipympl=0.5.1 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.įor 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. Jupyter labextension install jupyter-matplotlib Install an old JupyterLab extension If you use JupyterLab 2, you still need to install the labextension manually: conda install -c conda-forge nodejs If you want to use ipympl in JupyterLab, we recommend using JupyterLab >= 3. Installation With conda: conda install -c conda-forge ipympl With pip: pip install ipympl Use in JupyterLab ![]() ![]() To enable the ipympl backend, simply use the matplotlib Jupyter Leveraging the Jupyter interactive widgets framework, ipympl enables the interactive features of matplotlib in the Jupyter notebook and in JupyterLab.īesides, the figure canvas element is a proper Jupyter interactive widget which can be positioned in interactive widget layouts.
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