[Python] Fuzzy clustering on Python with Iris dataset

I am working on fuzzy c-means clustering of iris dataset, however can not visualize due to some errors.Using this tutorial I wrote the following for the iris, however it shows error called "AttributeError: shape". This is my code:

from sklearn import datasets
from sklearn.cluster import KMeans
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import sklearn.metrics as sm
import skfuzzy as fuzz

iris = datasets.load_iris()

x = pd.DataFrame(iris.data, columns=['Sepal Length', 'Sepal Width', 'Petal Length', 'Petal Width'])
y = pd.DataFrame(iris.target, columns=['Target'])
plt.figure(figsize=(6, 3))

model =fuzz.cluster.cmeans(iris,3,2,error=0.005,maxiter=1000,init=None,seed=None)
model.fit(x)
plt.show()


I assumed that passing the parameter in the variable model would be enough, however it shows above error. If possible, could you show where I make a mistake ? How to fix this ? I really appreciate your help!

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