mutlipel plots python in python

To create multiple plots in Python using matplotlib, we can use the subplots function. This function returns a Figure object and an array of Axes objects, which are used to create individual plots.

Here's the general syntax:

main.py
import matplotlib.pyplot as plt

fig, axes = plt.subplots(nrows, ncols, sharex=True, sharey=True)
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nrows and ncols specify the number of rows and columns of subplots we want to create.

sharex and sharey are optional arguments that determine whether the subplots share the same x-axis and y-axis, respectively.

We can then use the individual Axes objects to plot our data. Here's an example:

main.py
import numpy as np
import matplotlib.pyplot as plt

# Generate some random data
x = np.linspace(0, 10, 100)
y1 = np.sin(x)
y2 = np.cos(x)

# Create the subplots
fig, axes = plt.subplots(nrows=2, ncols=1, sharex=True, sharey=False)

# Plot the data on each subplot
axes[0].plot(x, y1)
axes[1].plot(x, y2)

# Set some plot-level properties
fig.suptitle('Multiple Plots')
axes[0].set_ylabel('Sine')
axes[1].set_ylabel('Cosine')
axes[1].set_xlabel('X')

# Show the plot
plt.show()
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This code generates two subplots, sharing the same x-axis, and plots the sine and cosine functions on them. We also set some plot-level properties such as a title and axis labels.

The resulting plot should display two stacked plots, with the sine function in the top plot and the cosine function in the bottom plot.