numpy.ma.masked_array.argmin¶
- masked_array.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, 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]