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How to Display an Image in Grayscale in Matplotlib?

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  • Difficulty Level : Easy
  • Last Updated : 08 Sep, 2022
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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




# storing image path
fname = r'g4g.png'
 
# opening image using pil
image = Image.open(fname).convert("L")
 
# maping image to gray scale
plt.imshow(image, cmap='gray')
plt.show()


Output:

Display an Image in Grayscale in Matplotlib

 

Example 1:

Python3




# importing libraries.
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
 
 
# storing image path
fname = r'gfg.png'
 
# opening image using pil
image = Image.open(fname).convert("L")
 
# mapping image to gray scale
plt.imshow(image, cmap='gray')
plt.show()


Output:

Image used

Display an Image in Grayscale in Matplotlib

 

Example 2:

Python3




# importing libraries.
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
 
 
# storing image path
fname = r'geeks.png'
 
# opening image using pil
image = Image.open(fname).convert("L")
 
# mapping image to gray scale
plt.imshow(image, cmap='gray')
plt.show()


Output:

Image Used

 


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