Description
# 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: ```bash conda install -c conda-forge matplotlib-inline ``` With pip: ```bash 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: ```python %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).
Release History
| Version | Changes | Urgency | Date |
|---|---|---|---|
| 0.2.1 | Imported from PyPI (0.2.1) | Low | 4/21/2026 |
| 0.2.0 | Tag 0.2.0 | Low | 10/16/2025 |
| 0.1.7 | Tag 0.1.7 | Low | 4/15/2024 |
| 0.1.6 | Tag 0.1.6 | Low | 8/18/2022 |
| 0.1.5 | Tag 0.1.5 | Low | 8/16/2022 |
| 0.1.4 | Tag 0.1.4 | Low | 8/16/2022 |
| 0.1.3 | Tag 0.1.3 | Low | 9/7/2021 |
| 0.1.2 | Tag 0.1.2 | Low | 4/20/2021 |
| 0.1.1 | Tag 0.1.1 | Low | 4/14/2021 |
| 0.1.0 | Tag 0.1.0 | Low | 2/12/2021 |
