Apart from using np.where() a different way to filter a numpy array is to use the following syntax :
ary[ condition ]
for example :
ary[ ary > 10 ]
So far so good, but how do you apply multiple conditions. To do this you need to surround all the conditions in brackets as shown below. Also for logical operators you should use the bitwise operators instead.
import numpy as np a = np.arange(5,15) print(a) #one condition print(a[a > 10]) #multiple conditions print(a[(a > 10) & (a < 13)]) print(a[(a == 10) | (a == 13)]) ----- [ 5 6 7 8 9 10 11 12 13 14] [11 12 13 14] [11 12] [10 13]
