When to use object-oriented style?
Description:
A Python program demonstrating when and why to use Matplotlib's object-oriented (OO) style for creating cleaner and scalable visualizations.
Code Explanation:
● fig, ax = plt.subplots(): Creates a figure and axes object explicitly.
● ax.plot(...): Plots the data on the specified Axes.
● ax.set_title(...): Sets the title using the OO method.
● plt.show(): Displays the plot.
Program:
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ax.plot([1, 2, 3], [2, 4, 1])
ax.set_title("Object-Oriented Plot")
plt.show()
Output:
