格式化两个 arrays 与相关 Numpy Python

Question

I am trying to write a numpy function where Numbers and value are in correlation with each other and if the element of Numbers array is smaller than the value element than it will return the number 0 if the case is otherwise the returned number will be 1. If the numbers are equal it will return 2. So the first element in Numbers and value is 3 and 2, since the Numbers value is greater than value s number it will return 1. I would like to avoid for loops and list comprehensions if possible.

import numpy as np

Numbers = np.array([3,8,10,14,28,42])
value =   np.array([2,4,12,13,30,42])

Expected Output:

Result = np.array([1,1,0,1,0,2])

Answer 1

Use numpy.select :

>>> np.select(condlist=[Numbers>value, Numbers<value, Numbers==value],
              choicelist=[1, 0, 2])

array([1, 1, 0, 1, 0, 2])