ipympl_interactive_matplotlib_backend_jupyter_notebook_quickstart.py

1%matplotlib widget
2import matplotlib.pyplot as plt
3import numpy as np
4
5# Create some data
6t = np.linspace(0, 2*np.pi, 100)
7s = np.sin(t)
8
9# Create a figure and axis
10fig, ax = plt.subplots()
11ax.plot(t, s)
12
13# Show the interactive plot
14plt.show()