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Scatter a 2D numpy array in matplotlib
To scatter a 2D numpy array in matplotlib, we can take the following steps −
Steps
Set the figure size and adjust the padding between and around the subplots.
Create random data of 100×3 dimension.
Use the scatter() method to plot 2D numpy array, i.e., data.
To display the figure, use show() method.
Example
import numpy as np from matplotlib import pyplot as plt # Set the figure size plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True # Random data of 100×3 dimension data = np.array(np.random.random((100, 3))) # Scatter plot plt.scatter(data[:, 0], data[:, 1], c=data[:, 2], cmap='hot') # Display the plot plt.show()
Output
It will produce the following output −
Updated on: 02-Feb-2022
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