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How to draw a log-normalized imshow plot with a colorbar representing the raw data in Matplotlib?
To draw a log-normalized imshow() plot with a colorbar representing the raw data in matplotlib, we can take the following steps −
- Create a 2D array using numpy.
- Display the data as an image, i.e., on a 2D regular raster, using imshow() method
- Create a colorbar for a ScalarMappable instance, *mappable*, using imshow() method.
- To display the figure, use show() method.
Example
import numpy as np from matplotlib import pyplot as plt, cm from matplotlib import colors plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True data = np.random.rand(4, 4) im = plt.imshow(data, cmap=cm.rainbow, norm=colors.LogNorm()) plt.colorbar(im) plt.show()
Output
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