numpy.ma.argmin¶

numpy.ma.argmin(self, axis=None, fill_value=None, out=None) = <numpy.ma.core._frommethod instance at 0x52d13dac>¶

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

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 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.

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]