boyle/image/base.py
def _mask_data(self, data):
        """Return the data masked with self.mask

        Parameters
        ----------
        data: np.ndarray

        Returns
        -------
        masked np.ndarray

        Raises
        ------
        ValueError if the data and mask dimensions are not compatible.
        Other exceptions related to numpy computations.
        """
        self._check_for_mask()

        msk_data = self.mask.get_data()
        if self.ndim == 3:
            return data[msk_data], np.where(msk_data)
        elif self.ndim == 4:
            return _apply_mask_to_4d_data(data, self.mask)
        else:
            raise ValueError('Cannot mask {} with {} dimensions using mask {}.'.format(self, self.ndim, self.mask))
def _mask_data(self, data):
        """Return the data masked with self.mask

        Parameters
        ----------
        data: np.ndarray

        Returns
        -------
        masked np.ndarray

        Raises
        ------
        ValueError if the data and mask dimensions are not compatible.
        Other exceptions related to numpy computations.
        """
        self._check_for_mask()

        msk_data = self.mask.get_data()
        if self.ndim == 3:
            return data[msk_data], np.where(msk_data)
        elif self.ndim == 4:
            return _apply_mask_to_4d_data(data, self.mask)
        else:
            raise ValueError('Cannot mask {} with {} dimensions using mask {}.'.format(self, self.ndim, self.mask))
def _mask_data ( self , data ) : self . _check_for_mask ( ) msk_data = self . mask . get_data ( ) if self . ndim == 3 : return data [ msk_data ] , np . where ( msk_data ) elif self . ndim == 4 : return _apply_mask_to_4d_data ( data , self . mask ) else : raise ValueError ( 'Cannot mask {} with {} dimensions using mask {}.' . format ( self , self . ndim , self . mask ) )
Return the data masked with self.mask

        Parameters
        ----------
        data: np.ndarray

        Returns
        -------
        masked np.ndarray

        Raises
        ------
        ValueError if the data and mask dimensions are not compatible.
        Other exceptions related to numpy computations.
Return the data masked with self . mask