numpy.ma.argmax()

numpy.ma.argmax(a, axis=None, fill_value=None) [source]

Returns array of indices of the maximum values along the given axis. Masked values are treated as if they had the value fill_value.

Parameters:

Parameters:	axis : {None, integer} If None, the index is into the flattened array, otherwise along the specified axis fill_value : {var}, optional Value used to fill in the masked values. If None, the output of maximum_fill_value(self._data) is used instead. out : {None, array}, optional Array into which the result can be placed. Its type is preserved and it must be of the right shape to hold the output.
Returns:	index_array : {integer_array}

axis : {None, integer}

If None, the index is into the flattened array, otherwise along the specified axis

fill_value : {var}, optional

Value used to fill in the masked values. If None, the output of maximum_fill_value(self._data) is used instead.

out : {None, array}, optional

Array into which the result can be placed. Its type is preserved and it must be of the right shape to hold the output.

Returns:

index_array : {integer_array}

>>> a = np.arange(6).reshape(2,3)
>>> a.argmax()
5
>>> a.argmax(0)
array([1, 1, 1])
>>> a.argmax(1)
array([2, 2])

Links:

doc_NumPy

2017-01-10 18:15:01

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