我正在尝试使用Scipy中的griddata方法对一组数据执行双三次插值。但是每次我尝试时都会得到ValueError'Buffer not C contiguous'。
奇怪的是，我正在运行他们提供的示例算法，但仍然失败：
def func(x, y):
return x*(1-x)*np.cos(4*np.pi*x) * np.sin(4*np.pi*y**2)**2
def bicubic():
grid_x, grid_y = np.mgrid[0:1:100j, 0:1:200j]
points = np.random.rand(1000, 2)
values = func(points[:,0], points[:,1])
data = griddata(points, values, (grid_x, grid_y), method='cubic')
return data
堆栈跟踪是：
Traceback (most recent call last):
File "parser.py", line 135, in <module>
ZI = bicubic(xv,yv,values,gridx,gridy)
File "/Users/Velox/Dropbox/Uni/Masters Project/Data/OpenSense/bicubic.py", line 14, in bicubic
return griddata(points, values, (grid_x, grid_y), method='cubic')
File "/Library/Python/2.7/site-packages/scipy/interpolate/ndgriddata.py", line 187, in griddata
ip = CloughTocher2DInterpolator(points, values, fill_value=fill_value)
File "interpnd.pyx", line 803, in scipy.interpolate.interpnd.CloughTocher2DInterpolator.__init__ (scipy/interpolate/interpnd.c:8584)
File "interpnd.pyx", line 478, in scipy.interpolate.interpnd.estimate_gradients_2d_global (scipy/interpolate/interpnd.c:6644)
ValueError: Buffer not C contiguous.
Numpy和Scipy的版本分别为1.8.0.dev-665a00a和0.13.0.dev-61f05fe。
有没有人有任何想法出了什么问题？