To make axes transparent 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.
Add an '~.axes.Axes' to the figure as part of a subplot arrangement.
Set face color of the current axes.
Add an axes to the figure.
Create t and s data using numpy.
Plot t and s data points using plot() method on axis 2 (from step 5).
To make the axis transparent, use set_alpha() method and keep alpha value minimum.
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
fig = plt.figure()
ax1 = fig.add_subplot(1, 1, 1)
ax1.set_facecolor('orange')
ax2 = fig.add_axes([0.5, 0.5, 0.3, 0.3])
t = np.arange(0, 1, 0.01)
s = np.sin(t)
ax2.plot(t, s, linewidth=2)
ax2.patch.set_alpha(0.01)
plt.show()Output
