Matplotlib Inline Backend for Jupyter

0.2.1 · active · verified Sat Mar 28

Provides an inline Matplotlib backend for Jupyter, enabling figures to display directly within the notebook interface. Current version: 0.2.1. Maintained by the IPython Development Team, with releases as needed to address updates and improvements.

Warnings

breaking Ensure that 'matplotlib-inline' is installed to enable inline plotting in Jupyter notebooks. Without this package, figures may not display inline.
Fix: Install 'matplotlib-inline' using pip: pip install matplotlib-inline
gotcha In some Jupyter environments, the '%matplotlib inline' magic command may still be required to enable inline plotting. If figures do not display inline, try running '%matplotlib inline' in a notebook cell before plotting.
Fix: Add '%matplotlib inline' at the beginning of your notebook to enable inline plotting.

Install

pip install matplotlib-inline Install via pip

Imports

configure_inline_support
```
from IPython.core.pylabtools import configure_inline_support
```
Ensure correct import path to avoid ImportError

Quickstart

Basic example to generate and display a sine wave plot inline within a Jupyter notebook.

import numpy as np
import matplotlib.pyplot as plt

# Generate sample data
x = np.linspace(0, 10, 100)
y = np.sin(x)

# Create a plot
plt.plot(x, y)
plt.title('Sine Wave')
plt.show()

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