numpy.fmax() in Python

numpy.fmax() function is used to compute element-wise maximum of array elements. This function compare two arrays and returns a new array containing the element-wise maxima.

If one of the elements being compared is a NaN, then the non-nan element is returned. If both elements are NaNs then the first is returned.

Syntax : numpy.fmax(arr1, arr2, /, out=None, *, where=True, casting=’same_kind’, order=’K’, dtype=None, ufunc ‘fmax’)

Parameters :
arr1 : [array_like] The array holding the elements to be compared.
arr2 : [array_like] The array holding the elements to be compared.
out : [ndarray, optional] A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned.
**kwargs : Allows to pass keyword variable length of argument to a function. It is used when we want to handle named argument in a function.
where : [array_like, optional] True value means to calculate the universal functions(ufunc) at that position, False value means to leave the value in the output alone.

Return : [ndarray or scalar] The maximum of arr1 and arr2, element-wise. Returns scalar if both arr1 and arr2 are scalars.

Code #1 : Working

Output :

Input  number1 :  10
Input  number2 :  11
maximum of 10 and 11 :  11

 
Code #2 :

Output :

Input array1 :  [2, 8, 125, nan]
Input array2 :  [nan, 3, 115, nan]
Output array :  [   2.    8.  125.   nan]

 
Code #3 :

Output :

Input array1 :  [2, 8, 125]
Input array2 :  [3, 3, 115]
Output array:  [  3   8 125]