How to change imshow aspect ratio in Matplotlib?

Aspect ratio is the ratio of height to width of the image we want to display. Matplotlib provides us the feature of modifying the aspect ratio of our image by specifying the value for the optional aspect ratio attribute for our image plot. 

Syntax: pyplot.imshow(image, aspect=’value’)

We can replace the value for the aspect ratio with ‘equal’, ‘auto’, or any float value representing the desired aspect ratio. For this article, we have used the below image to demonstrate the changes in aspect ratio using Matplotlib.

Original Image

Example:

Python3

import matplotlib.pyplot as plt
import cv2

# reading image from directory
im = cv2.imread("C://Users/User/Downloads/chess5.png")

# plotting a figure for showing all
# images in a single plot
fig = plt.figure(figsize=(4, 4))

# plotting each matplot image with
# different aspect ratio parameter values
# in a separate subplot
ax1 = fig.add_subplot(2, 2, 1)
ax1.set_xlabel('Original')

# plot the initial image as the first image
plt.imshow(im)

ax2 = fig.add_subplot(2, 2, 2)
ax2.set_xlabel('Aspect Ratio : Auto')

# plot the image with "auto" aspect ratio
# as the second image
plt.imshow(im, aspect='auto')

ax3 = fig.add_subplot(2, 2, 3)
ax3.set_xlabel('Aspect Ratio : 0.5')

# plot the image with "0.5" aspect ratio
# as the third image
plt.imshow(im, aspect='0.5')

ax4 = fig.add_subplot(2, 2, 4)
ax4.set_xlabel('Aspect Ratio : 1.5')

# plot the image with "1.5" aspect ratio
# as the fourth image
plt.imshow(im, aspect='1.5')

# display the plot
plt.show()

Output:

My Personal Notes arrow_drop_up

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