python - 使用 SciPy 二维插值器时出错

Question

我有以下用于 2D 插值的代码:

myInterpolator = NearestNDInterpolator(XY_product, grid_data)

当我为新数据点运行此插值器时:

new_grid_data = myInterpolator(new_XY)

我收到以下错误:

xi = self._check_call_shape(xi)
File "interpnd.pyx", line 133, in 
    scipy.interpolate.interpnd.NDInterpolatorBase._check_call_shape 
    (scipy/interpolate/interpnd.c:3261)
ValueError: number of dimensions in xi does not match x

我该如何解决这个问题？

Answer 1

这里是 xi = self._check_call_shape(xi) 的描述，说明了错误的来源:

def _check_call_shape(self, xi):
    xi = np.asanyarray(xi)
    if xi.shape[-1] != self.points.shape[1]:
        raise ValueError("number of dimensions in xi does not match x")
    return xi

这基本上意味着 xi.shape[-1] 应该等于 self.points.shape[1]。