ipympl#
ipympl enables using the interactive features of matplotlib in Jupyter Notebooks, Jupyter Lab, Google Colab, VSCode notebooks.
Matplotlib requires a live Python kernel to have interactive plots so by default the outputs on this page will not be interactive. To try things out yourself you can either use 
or 
Installation#
The quickest way to install is either:
pip install ipympl
or
conda install -c conda-forge ipympl
For more detailed instructions see Installing.
Basic Example#
To activate the ipympl backend all you need to do is include the %matplotlib ipympl magic in the notebook. Alternatively you can use %matplotlib widget which will have the same effect.
%matplotlib ipympl
import matplotlib.pyplot as plt
import numpy as np
fig, ax = plt.subplots()
x = np.linspace(0, 2*np.pi, 100)
y = np.sin(3*x)
ax.plot(x, y)
With a working Kernel that simple example will give a plot with interactivity enabled in the notebook!
Install#
pip install ipympl
