How to Display Multiple Images in One Figure Correctly in Matplotlib?

Last Updated : 02 Feb, 2021

The easiest way to display multiple images in one figure is use figure(), add_subplot(), and imshow() methods of Matplotlib. The approach which is used to follow is first initiating fig object by calling fig=plt.figure() and then add an axes object to the fig by calling add_subplot() method. Then will display the image using imshow() method.

Syntax: add_subplot(rows, columns, i)

Here rows and columns are the total number of rows and columns in the figure and i is the position at which new subplot must be placed.

Steps:

Import required libraries
Create a figure
Set values of rows and column variables
Read images
Add subplot and display image one by one

Consider below Images used as input:

Image1

Image2

Image3

Image4

Below is the implementation :

Python3

# code for displaying multiple images in one figure
  
#import libraries
import cv2
from matplotlib import pyplot as plt
  
# create figure
fig = plt.figure(figsize=(10, 7))
  
# setting values to rows and column variables
rows = 2
columns = 2
  
# reading images
Image1 = cv2.imread('Image1.jpg')
Image2 = cv2.imread('Image2.jpg')
Image3 = cv2.imread('Image3.jpg')
Image4 = cv2.imread('Image4.jpg')
  
# Adds a subplot at the 1st position
fig.add_subplot(rows, columns, 1)
  
# showing image
plt.imshow(Image1)
plt.axis('off')
plt.title("First")
  
# Adds a subplot at the 2nd position
fig.add_subplot(rows, columns, 2)
  
# showing image
plt.imshow(Image2)
plt.axis('off')
plt.title("Second")
  
# Adds a subplot at the 3rd position
fig.add_subplot(rows, columns, 3)
  
# showing image
plt.imshow(Image3)
plt.axis('off')
plt.title("Third")
  
# Adds a subplot at the 4th position
fig.add_subplot(rows, columns, 4)
  
# showing image
plt.imshow(Image4)
plt.axis('off')
plt.title("Fourth")

Output:

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