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:

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.

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])

Links:

https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.nanargmin.html

doc_NumPy

2017-01-10 18:16:10

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