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numpy.nanargmax() in Python

Last Updated : 19 Sep, 2023
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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 :  

Python
# Python Program illustrating
# working of nanargmax()

import numpy as geek 

# Working on 1D array
array = [geek.nan, 4, 2, 3, 1]
print("INPUT ARRAY 1 : \n", array)

array2 = geek.array([[geek.nan, 4], [1, 3]])

# returning Indices of the max element
# as per the indices ingnoring NaN
print("\nIndices of max in array1 : ", geek.nanargmax(array))

# Working on 2D array
print("\nINPUT ARRAY 2 : \n", array2)
print("\nIndices of max in array2 : ", geek.nanargmax(array2))

print("\nIndices at axis 1 of array2 : ", geek.nanargmax(array2, axis = 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 

Python
# Python Program illustrating
# working of nanargmax()

import numpy as geek 

# Working on 2D array
array = ( [[ 8, 13, 5, 0],
           [ 16, geek.nan, 5, 3],
           [geek.nan, 7, 15, 15],
           [3, 11, 4, 12]])
print("INPUT ARRAY : \n", array)

# returning Indices of the max element
# as per the indices 

'''   
   [[ 8 13  5  0]
   [ 16  2  5  3]
   [10  7 15 15]
   [ 3 11  4 12]]
     ^  ^  ^  ^
     
'''

print("\nIndices of max using argmax : ", geek.argmax(array, axis = 0))
print("\nIndices of max using nanargmax :  : ", geek.nanargmax(array, axis = 0))

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.

 


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