numpy.nanargmin
- numpy. nanargmin ( a, axis=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
-
- a array_like
-
Input data.
- axis int, optional
-
Axis along which to operate. By default flattened input is used.
- Returns
-
- index_array ndarray
-
An array of indices or a single index value.
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])
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https://numpy.org/doc/1.21/reference/generated/numpy.nanargmin.html