def sample_grid(self, count=None, step=None):
        """
        Return a 3D grid which is contained by the box.
        Samples are either 'step' distance apart, or there are
        'count' samples per box side.

        Parameters
        -----------
        count : int or (3,) int
          If specified samples are spaced with np.linspace
        step : float or (3,) float
          If specified samples are spaced with np.arange

        Returns
        -----------
        grid : (n, 3) float
          Points inside the box
        """

        if (count is not None and
                step is not None):
            raise ValueError('only step OR count can be specified!')

        # create pre- transform bounds from extents
        bounds = np.array([-self.primitive.extents,
                           self.primitive.extents]) * .5

        if step is not None:
            grid = util.grid_arange(bounds, step=step)
        elif count is not None:
            grid = util.grid_linspace(bounds, count=count)
        else:
            raise ValueError('either count or step must be specified!')

        transformed = transformations.transform_points(
            grid, matrix=self.primitive.transform)
        return transformed
def sample_grid ( self , count = None , step = None ) : if ( count is not None and step is not None ) : raise ValueError ( 'only step OR count can be specified!' ) bounds = np . array ( [ - self . primitive . extents , self . primitive . extents ] ) * .5 if step is not None : grid = util . grid_arange ( bounds , step = step ) elif count is not None : grid = util . grid_linspace ( bounds , count = count ) else : raise ValueError ( 'either count or step must be specified!' ) transformed = transformations . transform_points ( grid , matrix = self . primitive . transform ) return transformed
Return a 3D grid which is contained by the box.
        Samples are either 'step' distance apart, or there are
        'count' samples per box side.

        Parameters
        -----------
        count : int or (3,) int
          If specified samples are spaced with np.linspace
        step : float or (3,) float
          If specified samples are spaced with np.arange

        Returns
        -----------
        grid : (n, 3) float
          Points inside the box