quick way of filtering numpy array values

I’d like to filter a numpy array based on values from another array:

• if the value from another array is positive, keep it untouched in this array,
• if the value from another array is 0, change the value in this array to 0,
• if the value from another array is negative, invert the sign of the value in this array,

currently I have:

import numpy as np
this = np.array([1, 2, -3, 4])
other = np.array([0, -5, -6, 7])

this[other == 0] = 0
this[other < 0] *= -1
print(this)
# [ 0 -2  3  4]

As shown, it needs to loop other twice to get the indices whose values are equal or smaller than 0, and it needs to loop this twice to change values. Is there a quicker way? (suppose this and other are very large arrays)

>Solution :

With np.sign function to get indication of the sign of numbers:

this * np.sign(other)

array([ 0, -2,  3,  4])