How to profile and optimize rendering?
Description:
A Python program that optimizes rendering performance by rasterizing large datasets.
Code Explanation:
● np.linspace(...): Creates a large number of points for the x-axis.
● np.sin(...): Computes y-values as sine of x.
● ax.plot(..., rasterized=True): Enables rasterization to speed up rendering for complex plots.
● plt.savefig(...): Saves the optimized figure.
● plt.show(): Displays the chart.
Program:
import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0, 10, 100000)
y = np.sin(x)
fig, ax = plt.subplots()
ax.plot(x, y, rasterized=True)
ax.set_title("Optimized Rendering with Rasterization")
plt.savefig("optimized_rendering.pdf")
plt.show()
Output:
