nanargmin(a, axis=None, out=None, *, keepdims=<no value>)
Input data.
Axis along which to operate. By default flattened input is used.
If provided, the result will be inserted into this array. It should be of the appropriate shape and dtype.
If this is set to True, the axes which are reduced are left in the result as dimensions with size one. With this option, the result will broadcast correctly against the array.
An array of indices or a single index value.
Return the indices of the minimum values in the specified axis ignoring NaNs. For all-NaN slices ValueError
is raised. Warning: the results cannot be trusted if a slice contains only NaNs and Infs.
>>> a = np.array([[np.nan, 4], [2, 3]])
... np.argmin(a) 0
>>> np.nanargmin(a) 2
>>> np.nanargmin(a, axis=0) array([1, 1])
>>> np.nanargmin(a, axis=1) array([1, 0])See :
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.nanargmax
numpy.lib.nanfunctions
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