How to set same scale for subplots in Python using Matplotlib?

To set the same scale for subplot in Python using 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.
Add an 'ax1' to the figure as part of a subplot arrangement with nrows=2, ncols=1 and index=1.
Add another axis 'ax2' to the figure as part of a subplot arrangement with nrows=2, ncols=1 and index=2, with shared X-axis (to set same scale for subplots)
Create "t" data points to plot sine and cosine curves on axes ax1 and ax2.
To display the figure, use show() method.

Example

import matplotlib.pyplot as plt
import numpy as np

# Set the figure size
plt.rcParams["figure.figsize"] = [7.00, 3.50]
plt.rcParams["figure.autolayout"] = True

# Plot the figure
fig = plt.figure()

# Add the axes
ax1 = fig.add_subplot(2, 1, 1)
ax2 = fig.add_subplot(2, 1, 2, sharex=ax1)

# Create data points
t = np.linspace(-5, 5, 100)

# Plot sine and cosine curves on ax1 and ax2
ax1.plot(t, np.sin(2 * np.pi * t), color='red', lw=4)
ax2.plot(t, np.cos(2 * np.pi * t), color='orange', lw=4)

plt.show()