numpy.nanargmax (array, axis = None): returns the indices of the max array element on a specific axis, ignoring NaN.
Results cannot be trusted if the slice contains only NaN and Infs.
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. pre>
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 a t axis 1 of array2: [1 1]
Code 2: Comparison of argmax and nanargmax operation
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]
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This article is courtesy of Mohit Gupta_OMG
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