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What are the differences between add_axes and add_subplot in Matplotlib?
Defining
add_axes − Add an axes to the figure.
add_subplot − Add an axes to the figure as part of a subplot arrangement.
Steps
Create a new figure, or activate an existing figure, using the figure() method.
Add an axes to the figure as part of a subplot arrangement where nrows=2, ncols=2. At index 1, add the title "subtitle1" and at index 2, add the title "subplot2".
Create points for four rectangles and use add_axes() method to add an axes to the figure.
To display the figure, use the show() method.
Example
from matplotlib import pyplot as plt
plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True
fig = plt.figure()
fig.add_subplot(221)
plt.title("subplot1")
fig.add_subplot(222)
plt.title("subplot2")
rect1 = .1, .2, .1, .2
rect2 = .3, .2, .1, .2
rect3 = .5, .2, .1, .2
rect4 = .7, .2, .1, .2
fig.add_axes(rect1, facecolor="yellow")
fig.add_axes(rect2, facecolor="red")
fig.add_axes(rect3, facecolor="green")
fig.add_axes(rect4, facecolor="blue")
plt.show()Output
Updated on: 09-Apr-2021
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