为什么会出现错误“只能将整数标量数组转换为标量索引”?

I am trying to deal with the python 2-package anfisand as an experiment I used the load_iris()-dataset from sklearn. If i want to use the plotMF-function, the anfis-Code says, that i have the arguments self,x and InputVar (take a look here in the anfis.py-folder https://github.com/twmeggs/anfis). I try to plot it, but the error in my question occurs. I don't really know what to use as x and as InputVar...

所以这是我的代码:

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
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