The syntax is: a[start:stop] # items start through stop-1 a[start:] # items start through the rest of the array a[:stop] # items from the beginning through ... ... <看更多>

In [1]:. import numpy as np np.random.seed(0) # seed for reproducibility x1 = np.random.randint(10, size=6) # One-dimensional array x2 ... ... <看更多>

Array in Python - 00:00:15Array values from User in Python | Search in Array - 00:15:47Why Numpy ? Installing Numpy in Pycharm - 00:25:16Ways ... ... <看更多>

It is quite trivial (X=='y').astype(int). Should do the trick. It simply converts your array to True or False according to your requirements ... ... <看更多>