In [6]:

    

%matplotlib inline


    

In [7]:

    

import matplotlib.pyplot as plt
from sklearn.datasets import fetch_mldata
import matplotlib.cm as cm


    

In [8]:

    

digits = fetch_mldata('MNIST original', data_home='./data/mnist').data


    

In [9]:

    

counter = 1
for i in range(1,4):
    for j in range(1,6):
        plt.subplot(3,5,counter)
        plt.imshow(digits[(i-1)*8000 + j].reshape((28,28)), cmap=cm.Greys_r)
        plt.axis('off')
        counter += 1
        
plt.show()


    

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