numpy.nanargmax() in Python

The numpy.nanargmax() function returns indices of the max element of the array in a particular axis ignoring NaNs. 
The results cannot be trusted if a slice contains only NaNs and Infs. 

Syntax: 

numpy.nanargmax(array, axis = None) 

Parameters : 

array : Input array to work on 
axis : [int, optional]Along a specified axis like 0 or 1

Return :  

Array of indices into the array with same shape as array.shape
 with the dimension along axis removed.

Code 1 :  

Output : 

INPUT ARRAY 1 : 
 [nan, 4, 2, 3, 1]

Indices of max in array1 : 1

INPUT ARRAY 2 : 
 [[ nan 4.]
 [ 1. 3.]]

Indices of max in array2 : 1

Indices at axis 1 of array2 : [1 1]

Code 2: Comparing working of argmax and nanargmax 

Output : 

INPUT ARRAY : 
 [[8, 13, 5, 0], [16, nan, 5, 3], [nan, 7, 15, 15], [3, 11, 4, 12]]

Indices of max using argmax : [2 1 2 2]

Indices of max using nanargmax : : [1 0 2 2]

Note : 
These codes won't run on online IDE's. So please, run them on your systems to explore the working.