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How to shade points in a scatter based on colormap in Matplotlib?
To shade points in a scatter based on colormap, we can use copper colormap in scatter() method.
Steps
Set the figure size and adjust the padding between and around the subplots.
Create x and y random 100 data points using numpy.
Plot scatter points x and y with color=x and colormap=copper.
To display the figure, use show() method.
Example
import numpy as np from matplotlib import pyplot as plt, cm plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True x = np.random.rand(100) y = np.random.rand(100) plt.scatter(x, y, c=x, cmap='copper') plt.show()
Output
Updated on: 03-Jun-2021
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