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How to plot true/false or active/deactive data in Matplotlib?
To plot true/false or active/deactive data in Matplotlib, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots.
- Create data using numpy with True or False.
- Create a new figure or activate an existing figure using figure() method.
- Add an '~.axes.Axes' to the figure as part of a subplot arrangement.
- Use imshow() method to display data as an image, i.e., on a 2D regular raster.
- To display the figure, use show() method.
Example
import matplotlib.pyplot as plt import numpy as np plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True data = np.random.random((20, 20)) > 0.5 fig = plt.figure() ax = fig.add_subplot(111) ax.imshow(data, aspect='auto', cmap="copper", interpolation='nearest') plt.show()
Output
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