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In situations where the right environment is not set up in JupyterLab leading to errors. One such error is the
In a situation where you are running a plot (using
matplotlib) in a JupyterLab environment and encounter a
matplotlib to use the
inline magic command which allows you to draw only static plots within your JupyterLab.
To make use of the
inline magic command, you can add the statement below before your
However, this means that you won’t be able to have an interactive plot within your JupyterLab. If you need an
interactive plot, the
ipympl package is helpful.
inline magic command, you can make use of a matplotlib package named ipympl which provides Jupyter integration and allows you to work with interactive plots within your matplotlib.
To have that, you need to install
ipympl using either
conda depending on whether you are using a native python environment or an anaconda environment respectively.
pip, you can use the command below
pip install ipympl
However, if you use
conda, you can use the command below
conda install -c conda-forge ipympl
Also, if you are using JupyterLab 2, you might need to follow the command below
conda install -c conda-forge nodejs jupyter labextension install @jupyter-widgets/jupyterlab-manager jupyter-matplotlib
After installing the
ipympl package, you can restart your JupyterLab and make use of the
widget magic command to allow for interactive matplotlib within your code.
To run interactive plots using matplotlib, you will need an extension -
ipympl - to provide for such which relies on
NodeJS to work, or you can render such a plot as a static plot using the
inline magic command.