numpy.ma.MaskedArray.argmin — NumPy v1.11 Manual (original) (raw)

MaskedArray.argmin(axis=None, fill_value=None, out=None)[source]¶

Return array of indices to the minimum values along the given axis.

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 minimum_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:	ndarray or scalar If multi-dimension input, returns a new ndarray of indices to the minimum values along the given axis. Otherwise, returns a scalar of index to the minimum values along the given axis.

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 minimum_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:

ndarray or scalar If multi-dimension input, returns a new ndarray of indices to the minimum values along the given axis. Otherwise, returns a scalar of index to the minimum values along the given axis.

Examples

x = np.ma.array(arange(4), mask=[1,1,0,0]) x.shape = (2,2) print(x) [[-- --] [2 3]] print(x.argmin(axis=0, fill_value=-1)) [0 0] print(x.argmin(axis=0, fill_value=9)) [1 1]