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.
numpy.nanargmin(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 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
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]
These codes won’t run on online-ID. Please run them on your systems to explore the working
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