为什么会出现“只有整数标量数组才能转换为标量索引”错误？

Question

我试图处理Python2-packageanfis，作为一个实验，我使用了sklearn中的load_iris()-dataset。如果我想使用plotMF-函数，anfis代码会说，我有参数self、x和InputVar（请看这里的anfis.py-folderhttps://github.com/twmeggs/anfis）。我试图把它画出来，但问题中出现了错误。我真的不知道用什么作为x和输入变量

这是我的代码：

import anfis
from anfis.membership import membershipfunction, mfDerivs
import numpy
from sklearn.datasets import load_iris

data = load_iris()
X = data['data']
Y = data['target']
#training_data = numpy.loadtxt("training.txt", usecols=[1,2,3])
#X = training_data [:,0:2]
#Y = training_data [:,2]
# Defining the Membership Functions
mf = [[['gaussmf',{'mean':0.,'sigma':1.}],['gaussmf',{'mean':-1.,'sigma':2.}],['gaussmf',{'mean':-4.,'sigma':10.}],['gaussmf',{'mean':-7.,'sigma':7.}]], 
      [['gaussmf',{'mean':1.,'sigma':2.}],['gaussmf',{'mean':2.,'sigma':3.}],['gaussmf',{'mean':-2.,'sigma':10.}],['gaussmf',{'mean':-10.5,'sigma':5.}]],
      [['gaussmf',{'mean':0.,'sigma':1.}],['gaussmf',{'mean':-1.,'sigma':2.}],['gaussmf',{'mean':-4.,'sigma':10.}],['gaussmf',{'mean':-7.,'sigma':7.}]], 
      [['gaussmf',{'mean':1.,'sigma':2.}],['gaussmf',{'mean':2.,'sigma':3.}],['gaussmf',{'mean':-2.,'sigma':10.}],['gaussmf',{'mean':-10.5,'sigma':5.}]]]
# Updating the model with Membership Functions
mfc = membershipfunction.MemFuncs(mf)

# Creating the ANFIS Model Object
from anfis import anfis
anf = anfis.ANFIS(X, Y, mfc)
# Fitting the ANFIS Model
anf.trainHybridJangOffLine(epochs=10)

anf.plotMF(mf, X)

错误是：

TypeErrorTraceback (most recent call last)
<ipython-input-16-4dad5ff01e5b> in <module>()
----> 1 anf.plotMF(mf, X)

C:\Users\elihe\anaconda3\envs\py27\lib\site-packages\anfis\anfis.pyc in plotMF(self, x, inputVar)
    146         from skfuzzy import gaussmf, gbellmf, sigmf
    147 
--> 148         for mf in range(len(self.memFuncs[inputVar])):
    149             if self.memFuncs[inputVar][mf][0] == 'gaussmf':
    150                 y = gaussmf(x,**self.memClass.MFList[inputVar][mf][1])

TypeError: only integer scalar arrays can be converted to a scalar index