# 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))

# 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))