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 pltimport cv2# reading image from directory# plotting a figure for showing all # images in a single plotfig = plt.figure(figsize=(4, 4))# plotting each matplot image with# different aspect ratio parameter values# in a separate subplotax1 = fig.add_subplot(2, 2, 1)ax1.set_xlabel('Original')# plot the initial image as the first imageplt.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 imageplt.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 imageplt.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 imageplt.imshow(im, aspect='1.5')# display the plotplt.show() |
Output:
