[英]Error using SciPy 2D interpolator
I have the following piece of code for 2D
interpolation: 我有以下
2D
插值代码:
myInterpolator = NearestNDInterpolator(XY_product, grid_data)
When I run this interpolator for a new data point: 当我为新数据点运行此插值器时:
new_grid_data = myInterpolator(new_XY)
I get the following error: 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
How do I fix this? 我该如何解决?
Here is the description of xi = self._check_call_shape(xi)
which illuminates where the error is coming from: 以下是
xi = self._check_call_shape(xi)
的描述,它阐明了错误的来源:
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
This basically means that xi.shape[-1]
should be equal to self.points.shape[1]
. 这基本上意味着
xi.shape[-1]
应该等于self.points.shape[1]
。
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