Explain matplotlib rendering pipeline.
Description:
A Python program that walks through the rendering pipeline of Matplotlib — from defining data to final rendering.
Code Explanation:
● fig, ax = plt.subplots(): Starts by defining the canvas and axes.
● ax.plot(...): Adds line artist objects to the Axes.
● ax.set_title(...): Adds text artist.
● plt.show(): Invokes the backend to render and display the composed figure.
Program:
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ax.plot([1, 2, 3], [3, 2, 4])
ax.set_title("Rendering Pipeline Example")
plt.show()
