When to use object-oriented style?
Description:
The object-oriented style is not just a “better alternative” — it's a must-have once you're dealing with multiple plots, professional-grade charts, or reusable code. It offers full control and clean code structure, which becomes essential in real-world projects.
Code Explanation ():
● The OO approach means you explicitly create Figure and Axes objects with fig, ax = plt.subplots().
● You then manipulate the plot using methods on ax, like ax.plot(), ax.set_title(), ax.set_xlabel(), etc.
● This decouples your plotting logic from the implicit state — giving you modularity.
● Essential when:
-Creating multiple subplots or complex grid layouts.
-Embedding plots in GUIs, dashboards, or web apps.
-Writing reusable plotting functions or libraries.
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:
