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Plot curves to differentiate antialiasing in Matplotlib
To differentiate antialiasing through curves, we can take the following Steps −
Add a subplot to the current figure, using the subplot() method, where nrows=1, ncols=2 and index=1.
Plot the curve using the plot() method, where antialiased flag is false and color is red.
Place the legend at the upper-left corner using the legend() method.
Add a subplot to the current figure, using the subplot() method, where nrows=1, ncols=2 and index=2.
Plot the curve using the plot() method, where antialiased flag is true and color is green.
Place the legend at the upper-right corner using the legend() method.
To display the figure, use the show() method.
Example
import numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True plt.subplot(1, 2, 1) plt.plot(range(10), np.sin(range(10)), antialiased=False, label='Antialiasing Off', c="red") plt.legend(loc="upper left") plt.subplot(1, 2, 2) plt.plot(range(10), np.cos(range(10)), antialiased=True, label='Antialiasing On', c="green") plt.legend(loc="upper right") plt.show()
Output
Updated on: 10-Apr-2021
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