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. |
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Returns: |
index_array : ndarray An array of indices or a single index value. |
>>> 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://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.nanargmin.html