To create a histogram of an image using PIL, first import the Image module from PIL. Then load your image file by calling Image.open() with the path to your image as argument. Convert the image to grayscale for simplicity using convert(‘L’). Now, call .histogram() on the image object which returns a list representing the frequency distribution of pixel values in the image. This can be plotted using matplotlib’s pyplot.hist(). Here is a code example:
from PIL import Image
import matplotlib.pyplot as plt
# Load and convert image
img = Image.open('image.jpg').convert('L')
# Create histogram
hist_data = img.histogram()
# Plot histogram
plt.hist(hist_data, bins=256, color='gray', alpha=0.7)
plt.show()
