How to Display an Image in Grayscale in Matplotlib?

0 0 1 minute read

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")
 
# mapping 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

Example 2:

Python3

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