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import matplotlib.pyplot as plt

import tensorflow as tf

def sample_dataset():
    dataset_shape = (2000, 1)
    return tf.random.normal(mean=8.0, shape=dataset_shape, stddev=0.5, dtype=tf.float32)
plt.hist(sample_dataset().numpy(), 100)
axes = plt.gca()
axes.set_xlim([-1, 11])
axes.set_ylim([0, 70])
plt.show()