Path simplification helps to reduce the number of points in a line or shape. This makes plots faster and easier to understand.
Path simplification in Matplotlib
Line2D.set_path_simplify(True) # or Path.set_simplify(True)
Path simplification is often enabled by default in matplotlib for line plots.
You can control the simplification tolerance with set_path_simplify_threshold().
import matplotlib.pyplot as plt import numpy as np x = np.linspace(0, 10, 1000) y = np.sin(x) plt.plot(x, y) # Path simplification is on by default plt.show()
line, = plt.plot(x, y) line.set_path_simplify(True) # explicitly enable simplification plt.show()
line.set_path_simplify_threshold(0.1) # set tolerance for simplification
This code plots the same noisy sine wave twice: once without path simplification and once with it. You can see the simplified line is smoother and faster to draw.
import matplotlib.pyplot as plt import numpy as np # Create many points for a noisy line x = np.linspace(0, 10, 1000) y = np.sin(x) + np.random.normal(0, 0.1, x.size) # Plot without simplification line1, = plt.plot(x, y, label='No simplification') line1.set_path_simplify(False) # Plot with simplification line2, = plt.plot(x, y + 1.5, label='With simplification') line2.set_path_simplify(True) line2.set_path_simplify_threshold(0.1) plt.legend() plt.title('Path Simplification Example') plt.show()
Path simplification works by removing points that do not change the shape much.
Too much simplification can lose important details, so adjust the threshold carefully.
Path simplification mainly affects line plots, not scatter plots.
Path simplification reduces points in lines to speed up plotting.
It is enabled by default but can be controlled with methods on Line2D objects.
Adjust the simplification threshold to balance detail and performance.