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How to color a Matplotlib scatterplot using a continuous value?
To color a matplotlib scatterplot using continuous value, we can take the following steps −
Set the figure size and adjust the padding between and around the subplots.
Create x, y and z random data points using numpy.
Create a figure and a set of subplots.
Create a scatter plot.
Draw a colorbar in an existing axes, with scatter points scalar mappable instance.
To display the figure, use show() method.
Example
import numpy as np import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True x, y, z = np.random.rand(3, 50) f, ax = plt.subplots() points = ax.scatter(x, y, c=z, s=50, cmap="plasma") f.colorbar(points) plt.show()
Output
Updated on: 04-Jun-2021
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