The sign() function in NumPy is used to return the sign of each element (numbers) of an array.
numpy.sign(x, /, out=None, *, where=True)
The sign() function takes the following parameter values:
x : The input array of values. It is a required parameter.out : The location where the result is stored. It is an optional parameter.where : This is the condition over which the input is broadcast. At a given location where this condition is True, the resulting array will be set to the ufunc result. Otherwise, the resulting array will retain its original value. It is an optional parameter.**kwargs : This is the other keyword argument. It is an optional parameter.The sign() function returns an array of the same shape as the input array passed to it, holding the sign of values of the elements of the input array.
-1 is returned if the number is less than 0. 1 is returned for numbers greater than 0. 0 is returned if the number is equal to 0. NaN is returned if the input is a NaN.
Let's look at the code below:
import numpy as np# creating an input array of complex valuesx = np.array([-1, 6, -2.5, 2])# implementing the sign() functionmyarray = np.sign(x)print(x)print(myarray)
numpy module.x using the array() function.sign() function on the input array. We assign the result to a variable myarray.x.myarray.