numpy.nanargmin() in Python

The numpy.nanargmin() function returns indices of the min 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.nanargmin(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 min in array1 : 4

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

Indices of min in array2 : 2

Indices at axis 1 of array2 : [1 0]

Code 2 : Comparing working of argmin and nanargmin 

Output : 

INPUT ARRAY : 
 [[ 8 13 5 0]
 [ 0 2 5 3]
 [10 7 15 15]
 [ 3 11 4 12]]

Indices of min element : [1 1 3 0]

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