operation.py 文件源码

def _process(self, img, key=None):
        if self.p.fast:
            return self._fast_process(img, key)
        proj = self.p.projection
        if proj == img.crs:
            return img
        x0, x1 = img.range(0)
        y0, y1 = img.range(1)
        xn, yn = img.interface.shape(img, gridded=True)[:2]
        px0, py0, px1, py1 = project_extents((x0, y0, x1, y1),
                                             img.crs, proj)
        src_ext, trgt_ext = (x0, x1, y0, y1), (px0, px1, py0, py1)
        arrays = []
        for vd in img.vdims:
            arr = img.dimension_values(vd, flat=False)
            projected, extents = warp_array(arr, proj, img.crs, (xn, yn),
                                            src_ext, trgt_ext)
            arrays.append(projected)
        projected = np.dstack(arrays) if len(arrays) > 1 else arrays[0]
        data = np.flipud(projected)
        bounds = (extents[0], extents[2], extents[1], extents[3])
        return img.clone(data, bounds=bounds, kdims=img.kdims,
                         vdims=img.vdims, crs=proj)