def mask_and_flatten(self):
        """Return a vector of the masked data.

        Returns
        -------
        np.ndarray, tuple of indices (np.ndarray), tuple of the mask shape
        """
        self._check_for_mask()

        return self.get_data(smoothed=True, masked=True, safe_copy=False)[self.get_mask_indices()],\
               self.get_mask_indices(), self.mask.shape
def mask_and_flatten(self):
        """Return a vector of the masked data.

        Returns
        -------
        np.ndarray, tuple of indices (np.ndarray), tuple of the mask shape
        """
        self._check_for_mask()

        return self.get_data(smoothed=True, masked=True, safe_copy=False)[self.get_mask_indices()],\
               self.get_mask_indices(), self.mask.shape
def mask_and_flatten ( self ) : self . _check_for_mask ( ) return self . get_data ( smoothed = True , masked = True , safe_copy = False ) [ self . get_mask_indices ( ) ] , self . get_mask_indices ( ) , self . mask . shape
Return a vector of the masked data.

        Returns
        -------
        np.ndarray, tuple of indices (np.ndarray), tuple of the mask shape
Return a vector of the masked data .