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How to plot additional points on the top of a scatter plot in Matplotlib?
To plot additional points on the top of a scatter plot in matplotlib, we can take the following steps −
Steps
Set the figure size and adjust the padding between and around the subplots.
Make a list of x and y data points.
Create a scatter plot with x and y data points.
Plot the additional points with marker='*'
To display the figure, use show() method.
Example
from matplotlib import pyplot as plt # Set the figure size plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True # List of data points x = [1, 2, 6, 4] y = [1, 5, 2, 3] # Scatter plot with x and y plt.scatter(x, y, c=x, cmap='hot') plt.plot([3, 4], [6, 7], marker='*', ls='none', ms=20) # Display the plot plt.show()
Output
It will produce the following output −
Updated on: 02-Feb-2022
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