NumPy Pseudorandom Number Generation

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• NumPy Concepts

Overview

The numpy.random module supplements the built-in Python random module with functions for efficiently generating whole arrays of sample values from many kinds of probability distributions.

np.random.standard_normal(10)

array([-0.31574999, -0.22620981,  0.78084923, -0.08299547,  0.02537403,
       -0.39786547,  0.69732466, -1.76220064,  0.26101635, -0.32073839])

np.random.standard_normal(size=(5, 3))

array([[ 6.26367775e-01, -7.97741988e-01,  1.53270456e-01],
       [ 1.66227193e+00, -1.16015757e-03,  9.65301493e-01],
       [-8.90605112e-01,  8.53983237e-01, -4.24828642e-01],
       [-4.60834281e-01, -1.36535277e+00,  1.89016088e+00],
       [-1.25755550e+00,  2.60187554e-01,  5.62396877e-01]])