Matplotlib Inline Back-end for IPython and Jupyter
This package provides support for matplotlib to display figures directly inline in the Jupyter notebook and related clients, as shown below.
Installation
With conda:
conda install -c conda-forge matplotlib-inline
With pip:
pip install matplotlib-inline
Usage
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');
License
Licensed under the terms of the BSD 3-Clause License, by the IPython Development Team (see LICENSE file).
4 maintainers
Release files for matplotlib-inline 0.2.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| matplotlib_inline-0.2.2.tar.gz | 8.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| matplotlib_inline-0.2.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.7 kB
Release files / matplotlib_inline-0.2.2.tar.gz
| Download URL | matplotlib_inline-0.2.2.tar.gz |
|---|---|
| Size | 8.2 kB |
| Tags | Source |
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| Download URL | matplotlib_inline-0.2.2-py3-none-any.whl |
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| Size | 9.5 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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| Uploaded via |
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