interpolate.py 文件源码

def _normalize_inputs(self, xi):
        """Normalize the inputs."""
        xi = np.asarray(xi, dtype=float)
        if xi.shape[-1] != self.ndim:
            raise ValueError("The requested sample points xi have dimension %d, "
                             "but this interpolator has dimension %d" % (xi.shape[-1], self.ndim))

        xi = np.atleast_2d(xi.copy())
        for idx, (offset, scale) in enumerate(self._scale_list):
            xi[..., idx] -= offset
            xi[..., idx] /= scale

        # take extension input account.
        xi += self._ext

        return xi