ZeroDivisionError: float除以0 USING scipy.interpolate.rbf('cubic")

我试图用scipy库，特别是rbf('cubic')来插值缺失值。但我得到了以下错误。

Traceback (most recent call last):
  File "C:\Users\St\Desktop\py_magn\inter.py", line 89, in <module>
    rbfp = Rbf(xn ,yn, magn, function='cubic') #PARAMETERS
  File "C:\Users\St\AppData\Local\Programs\Python\Python38\lib\site-packages\scipy\interpolate\rbf.py", line 239, in __init__
    self.epsilon = np.power(np.prod(edges)/self.N, 1.0/edges.size)
ZeroDivisionError: float division by zero
my code is the following:
x, y, mag = df[:,0], df[:,1], df[:,3]
emptyInd = np.where(np.isnan(mag))
print(emptyInd[0])
#----------------------------------------------------------------------------------------------------
def eucl_dist(pnt,x,y,mag):
    value = []
    dist = 0.0
    typ = [('Eucli Dist', float), ('x', float), ('y', float), ('Magn', float)]
    for i in range(len(x)):
        dist = sqrt((pnt[0]-x[i])**2 + (pnt[1]-y[i])**2)
        res = [dist, x[i], y[i], mag[i]]
        value.append(res)
    value = np.vstack(value)
    return value,typ
#--------------------------------------------------------------------------------
xinter=[]
yinter=[]
magInter=[]
neigh = []
if len(emptyInd)!=0 :
    listOfEMPval = list(zip(emptyInd[0])) #, emptyInd[1]))
    for ind in listOfEMPval:
        xn=[]
        yn=[]
        magn=[]
        xinter = np.take(x,ind)
        yinter = np.take(y,ind)
        edist, typ = eucl_dist((xinter, yinter), x, y, mag)
        edist = rf.unstructured_to_structured(edist, np.dtype(typ))
        indx = np.argsort(edist, order='Eucli Dist')
        edist = np.reshape([edist[i] for i in indx],(len(edist), 1))
        sz=182
        for k in range(sz):
            if np.isnan(edist[k][0][3]):
                sz+=1
            else:
                xn = np.append(xn, edist[k][0][1])
                yn = np.append(yn, edist[k][0][2])
                magn = np.append(magn, edist[k][0][3])
        rbfp = Rbf(xn ,yn, magn, function='cubic') #PARAMETERS
        magInter = np.append(magInter, rbfp(xinter,yinter)) #INTERPOLATION
    for i in range(len(listOfEMPval)):
        np.put(mag, listOfEMPval[i], magInter[i])
正如我在 "答案 "部分所写，我解决了我的问题。唯一的想法是，是否有任何方法使它更快。