mars.tensor.nanargmin#
- mars.tensor.nanargmin(a, axis=None, out=None, combine_size=None)[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
- Returns
index_array – A tensor of indices or a single index value.
- Return type
Tensor
Examples
>>> import mars.tensor as mt
>>> a = mt.array([[mt.nan, 4], [2, 3]]) >>> mt.argmin(a).execute() 0 >>> mt.nanargmin(a).execute() 2 >>> mt.nanargmin(a, axis=0).execute() array([1, 1]) >>> mt.nanargmin(a, axis=1).execute() array([1, 0])