Fellos

from pandas import read_csv
from numpy import zeros
from sklearn.model_selection import train_test_split
from matplotlib.pyplot import plot,subplot


data=read_csv("http://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data", header=None).values
NumberOfPatterns=data.shape[0]
NumberOfAttributes=data.shape[1]
mdict ={'Iris-setosa': 0, 'Iris-versicolor':1, 'Iris-virginica':0}

x =data[:,0:4]
t =zeros(NumberOfPatterns)

for ptrn in range(NumberOfPatterns):
    t[ptrn] = mdict[data[ptrn,4]]
for i in range(9):
    xtrain, xtest, ttrain, ytest = train_test_split(x,t,test_size=0.1)
    subplot(3,3,i+1)
    plot(xtrain[:,0],xtrain[:,2],'bo')
    plot(xtest[:,0],xtest[:,2],'ro')