How can I programmatically select a specific subplot in Matplotlib?


To select a specific subplot in matplotlib, we can take the following steps −

  • Set the figure size and adjust the padding between and around the subplots.

  • Create a new figure or activate an existing figure using figure() method.

  • Iterate in a range, i.e., number subplots to be placed.

  • In the loop itself, add an '~.axes.Axes' to the figure as part of a subplot arrangement using add_subplot() method.

  • Now, select an axes plot line with red color.

  • To display the figure, use show() method.

Example

import numpy as np
import matplotlib.pyplot as plt

plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True

fig = plt.figure()

for index in [1, 2, 3, 4]:
   ax = fig.add_subplot(1, 4, index)
   ax.plot(np.random.rand(5), np.random.rand(5))

ax = fig.add_subplot(1, 4, 2)
ax.plot(np.random.rand(5), np.random.rand(5), color='red')

plt.show()

Output

Updated on: 03-Jun-2021

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