import matplotlib.pyplot as plt import numpy as np from matplotlib.widgets import Cursor # Fixing random state for reproducibility np.random.seed(19680801) fig, ax = plt.subplots(figsize=(8, 6)) x, y = 4*(np.random.rand(2, 100) - .5) ax.plot(x, y, 'o') ax.set_xlim(-2, 2) ax.set_ylim(-2, 2) # Set useblit=True on most backends for enhanced performance. cursor = Cursor(ax, useblit=True, color='red', linewidth=2) plt.show()
References
The use of the following functions, methods, classes and modules is shown in this example:
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