The numpy.sign (array [, out]) function is used to indicate the sign of a number element by element.
For integer inputs, if the array value is greater than 0, 1 is returned, if the array value is less than 0, 1 is returned, and if the array value is 0, 0.
Syntax: numpy.sign ()
Parameters:
array: [array_like] Input values.
out: [ndarray, optional] Output array placed with result.Return: [ndarray] Returns the sign of array. If an array is scalar then the sign of array will be scalar.
Code 1:
# Python program illustrating
# numpy.sign () method
# numpy import
import
numpy as geek
# input arrays
array1
=
[
1
,
0
,

13
]
array2
=
[

1
,
0
,
15
]
# print input arrays
print
(
"input array1:"
, array1)
print
(
"input array2: "
, array2)
# define the sign of integers in the array
print
(
"Check sign of array1:"
, geek.sign (array1))
print
(
"Check sign of array2:"
, geek.sign (array2))
Output:
array1: [1, 0 , 13] array2: [1, 0, 15] Check sign of array1: [1 0 1] Check sign of array2: [1 0 1]
Code 2:

Output:
Check sign of complex input1: (1 + 0j) Check sign of complex input2: (1 + 0j)
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