ipol.py 文件源码

def __call__(self, vals, fill_value=np.nan):
        """
        Evaluate interpolator for values given at the source points.

        Parameters
        ----------
        vals : ndarray of float, shape (numsourcepoints, ...)
            Values at the source points which to interpolate
        fill_value : float
            is needed if linear interpolation fails; defaults to np.nan

        Returns
        -------
        output : ndarray of float with shape (numtargetpoints,...)

        """
        self._check_shape(vals)
        ip = LinearNDInterpolator(self.src, vals, fill_value=fill_value)
        return ip(self.trg)


# -----------------------------------------------------------------------------
# Covariance routines needed for Kriging
# -----------------------------------------------------------------------------