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])