This package provides support for matplotlib to display figures directly inline in the Jupyter notebook and related clients, as shown below.
With conda:
conda install -c conda-forge matplotlib-inline
With pip:
pip install matplotlib-inline
Note that in current versions of JupyterLab and Jupyter Notebook, the explicit use of the %matplotlib inline directive is not needed anymore, though other third-party clients may still require it.
This will produce a figure immediately below:
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0, 3*np.pi, 500)
plt.plot(x, np.sin(x**2))
plt.title('A simple chirp');
Licensed under the terms of the BSD 3-Clause License, by the IPython Development Team (see LICENSE file).
FAQs
Inline Matplotlib backend for Jupyter
We found that matplotlib-inline demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 4 open source maintainers collaborating on the project.
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