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.
numpy.nanargmax(array, axis = None)
array : Input array to work on axis : [int, optional]Along a specified axis like 0 or 1
Array of indices into the array with same shape as array.shape with the dimension along axis removed.
Code 1 :
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
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]
These codes won’t run on online-ID. Please run them on your systems to explore the working.
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