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Deno 2.2 Improves Dependency Management and Expands Node.js Compatibility
Deno 2.2 enhances Node.js compatibility, improves dependency management, adds OpenTelemetry support, and expands linting and task automation for developers.
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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