Matplotlib – Subplot with one row and two columns

Matplotlib – Subplot with one row and two columns

First let us see the syntax of subplot() function, and then using this information, we shall create subplot with one row and two columns.

The syntax of subplot function is

subplot(crows, cols, index, **kwargs)

where

Parameter	Description
nrows	Number of rows of subplots.
ncols	Number of columns of subplots.
index	Integer or tuple representing the index of the current subplot. Starts from 1.
**kwargs	Additional keyword arguments passed to the `add_subplot` call (optional).

Therefore, to create subplot with one row and two columns,

• The first subplot should be plt.subplot(1, 2, 1) where the first argument 1 specifies that there is one row, the second argument 2 specifies that there are two columns, and the third argument 1 specifies that this subplot is the first.
• The second subplot should be plt.subplot(1, 2, 2) where the first argument 1 specifies that there is one row, the second argument 2 specifies that there are two columns, and the third argument 2 specifies that this subplot is the second.

For example, consider the following program where we create subplot in a row with two columns.

Python Program

import matplotlib.pyplot as plt

# Example data
x = [1, 2, 3, 4, 5]
y1 = [10, 20, 25, 55, 40]
y2 = [10, 5, 15, 20, 40]

# Create a figure with two subplots (1 row, 2 columns)
plt.figure(figsize=(10, 4))

# Subplot 1 (left)
plt.subplot(1, 2, 1)
plt.plot(x, y1)
plt.title('Data 1 Graph')
plt.xlabel('Data 1 X-axis')
plt.ylabel('Data 1 Y-axis')

# Subplot 2 (right)
plt.subplot(1, 2, 2)
plt.plot(x, y2)
plt.title('Data 2 Graph')
plt.xlabel('Data 2 X-axis')
plt.ylabel('Data 2 Y-axis')

# Adjust layout for better spacing
plt.tight_layout()

# Show the plot
plt.show()

Output