How to Display an Image in Grayscale in Matplotlib?
Last Updated :
06 Dec, 2022
In this article, we are going to depict images using the Matplotlib module in grayscale representation using PIL, i.e. image representation using two colors only i.e. black and white.
Syntax: matplotlib.pyplot.imshow(X, cmap=None)
Displaying Grayscale image
Displaying Grayscale image, store the image path here let’s say it fname. Now open the image using PIL image method and convert it to L mode If you have an L mode image, that means it is a single-channel image – normally interpreted as grayscale. It only stores a grayscale, not color. Plotting the image as cmap = ‘gray’ converts the colors. All the work is done you can now see your image.
Python3
fname = r 'g4g.png'
image = Image. open (fname).convert( "L" )
plt.imshow(image, cmap = 'gray' )
plt.show()
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Output:
Example 1:
Python3
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
fname = r 'gfg.png'
image = Image. open (fname).convert( "L" )
plt.imshow(image, cmap = 'gray' )
plt.show()
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Output:
Image used
Example 2:
Python3
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
fname = r 'geeks.png'
image = Image. open (fname).convert( "L" )
plt.imshow(image, cmap = 'gray' )
plt.show()
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Output:
Image Used
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