To inset sharex and sharey from two axes in matplotlib, we can use 'none', i.e., False or 'none'. Each subplot X- or Y-axis will be independent.
Steps
Set the figure size and adjust the padding between and around the subplots.
Initialize two variables rows and cols.
Create a figure and a set of subplots.
Iterate the axes where rows=2 and cols=4.
Plot the random data on the axis.
To display the figure, use show() method.
Example
import matplotlib.pyplot as plt import numpy as np plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True rows = 2 cols = 4 fig, axes = plt.subplots(rows, cols, sharex='none', sharey='none', squeeze=False) for row in range(rows): for col in range(cols): axes[row][col].plot(np.random.rand(10), np.random.rand(10)) plt.show()
Output
It will produce the following output −