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Introducing the Socket Python SDK
The initial version of the Socket Python SDK is now on PyPI, enabling developers to more easily interact with the Socket REST API in Python projects.
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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Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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