numpy.ma.masked_array.argmax — NumPy v1.13 Manual (original) (raw)

masked_array. argmax(axis=None, fill_value=None, out=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:	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}

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}

Examples

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