python==3.7.9 Keras==2.2.4 tensorflow==1.13.1
import urllib.request
import tensorflow as tf
import matplotlib.pyplot as plt
import numpy as np
#prox = urllib.request.build_opener()
#urllib.request.install_opener(prox)
from keras.datasets import mnist
(x_train, y_train), (x_test, y_test) = mnist.load_data()
plt.imshow(x_train[0])
In normal print, the matrix format is omitted and it is crushed. Make it easier to see by specifying the number of characters to be displayed in one line in linewidth
np.set_printoptions(linewidth = 115, precision = 1)
print(x_train[0])
It can be displayed in 115 characters including spaces.