numpy.random.rand(row, column) generates random numbers between 0 and 1, according to the specified (m,n) parameters given. So use ... ... <看更多>

Generally, for an array with random values in the range [a,b] you have (b-a)*np.random.random(())+a.This ... ... <看更多>

standard imports >>> import numpy as np >>> # print arrays to 4 decimal places >>> np.set_printoptions(precision=4, suppress=True). We often need random ... ... <看更多>

In numpy.random.choice, the p= option is not supported. ... :param prob: A 1D numpy array of probabilities for the given samples. ... <看更多>

Neither your starting array, the alphabet, nor your output array were actual numpy arrays. ... <看更多>