23 Apr Matplotlib – Create multiple plots (side by side) in one figure

To create multiple plots side by side in Matplotlib, set 1 row and 2 columns for the subplot(). In Matplotlib, organize multiple plots within one figure by dividing the canvas into a grid using the plt.subplot(). Here is the syntax:

plt.subplot(nrows, ncols, index)

The following are the parameters of the subplot() function:

• nrows: number of rows in the grid.
• ncols: number of columns in the grid.
• index: position of the subplot (starts at 1).

Let us see an example:

# Create multiple plots (side by side) in one figure

import matplotlib.pyplot as plt
import numpy as np

# Plot 1
xpts = np.array([0, 1, 2, 3])
ypts = np.array([4, 5, 6, 7])

# This means 1 row, 2 columns, 1st sublplot
plt.subplot(1, 2, 1)

plt.plot(xpts, ypts)
plt.title("Figure 1")

# Plot 2
xpts = np.array([0, 1, 2, 3])
ypts = np.array([15, 20, 30, 45])

# This means 1 row, 2 columns, 2nd sublplot
plt.subplot(1, 2, 2)
plt.plot(xpts, ypts)
plt.title("Figure 2")

# Displaying both the plots on a single figure
plt.show()

Output

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