sklearn.datasets.load_digits

import numpy as np
import matplotlib.pyplot as plt
from sklearn.datasets import load_digits

mnist=load_digits()
display(mnist.keys())
display(dir(mnist))

 

plt.figure(figsize=[10,10])
for i in range(100):
    plt.subplot(10,10,i+1)
    plt.imshow(mnist.images[i],cmap='gray_r')
    plt.axis('off')