boyle/image/base.py
def unmask(self, arr):
        """Use self.mask to reshape arr and self.img to get an affine and header to create
        a new self.img using the data in arr.
        If self.has_mask() is False, will return the same arr.
        """
        self._check_for_mask()

        if 1 > arr.ndim > 2:
            raise ValueError('The given array has {} dimensions while my mask has {}. '
                             'Masked data must be 1D or 2D array. '.format(arr.ndim,
                                                                           len(self.mask.shape)))

        if arr.ndim == 2:
            return matrix_to_4dvolume(arr, self.mask.get_data())
        elif arr.ndim == 1:
            return vector_to_volume(arr, self.mask.get_data())
def unmask(self, arr):
        """Use self.mask to reshape arr and self.img to get an affine and header to create
        a new self.img using the data in arr.
        If self.has_mask() is False, will return the same arr.
        """
        self._check_for_mask()

        if 1 > arr.ndim > 2:
            raise ValueError('The given array has {} dimensions while my mask has {}. '
                             'Masked data must be 1D or 2D array. '.format(arr.ndim,
                                                                           len(self.mask.shape)))

        if arr.ndim == 2:
            return matrix_to_4dvolume(arr, self.mask.get_data())
        elif arr.ndim == 1:
            return vector_to_volume(arr, self.mask.get_data())
def unmask ( self , arr ) : self . _check_for_mask ( ) if 1 > arr . ndim > 2 : raise ValueError ( 'The given array has {} dimensions while my mask has {}. ' 'Masked data must be 1D or 2D array. ' . format ( arr . ndim , len ( self . mask . shape ) ) ) if arr . ndim == 2 : return matrix_to_4dvolume ( arr , self . mask . get_data ( ) ) elif arr . ndim == 1 : return vector_to_volume ( arr , self . mask . get_data ( ) )
Use self.mask to reshape arr and self.img to get an affine and header to create
        a new self.img using the data in arr.
        If self.has_mask() is False, will return the same arr.
Use self . mask to reshape arr and self . img to get an affine and header to create a new self . img using the data in arr . If self . has_mask () is False will return the same arr .