You can do it this way for integer values: import numpy as np np.random.seed(12345) print(np.random.randint(256**4, dtype='<u4', size=1)[0]) ... <看更多>

np.random.randint results in ValueError when specifying arguments that overflow int32 on Windows. I've seen some related discussions around ... ... <看更多>

The np.random.choice() function does this. You equivalently could do this using np.random.randint() , where the integers represent indices in ... ... <看更多>

Random numbers are generated with the random package or with Numpy in ... or a random integer value ... ... <看更多>

import numpy as np import matplotlib.pyplot as plt seasonality ... 100) noise = np.random.normal(0, 1, 100) exo = np.random.randint(low=0, ... ... <看更多>