numpy.ma.argmin¶
- ma.argmin(self, axis=None, fill_value=None, out=None) = <numpy.ma.core._frommethod object>¶
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_valuescalar or None, 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(np.arange(4), mask=[1,1,0,0]) >>> x.shape = (2,2) >>> x masked_array( data=[[--, --], [2, 3]], mask=[[ True, True], [False, False]], fill_value=999999) >>> x.argmin(axis=0, fill_value=-1) array([0, 0]) >>> x.argmin(axis=0, fill_value=9) array([1, 1])