numpy.nanargmin

numpy. nanargmin ( a, axis=None, out=None, *, keepdims=<no value> ) [source]

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.

Parameters

a array_like

Input data.

axis int, optional

Axis along which to operate. By default flattened input is used.

out array, optional

If provided, the result will be inserted into this array. It should be of the appropriate shape and dtype.

New in version 1.22.0.

keepdims bool, optional

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.

New in version 1.22.0.

Returns

index_array ndarray

An array of indices or a single index value.

See also

argmin, nanargmax

Examples

>>> 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])