from sklearn.datasets import load_iris
from sklearn.decomposition import PCA
import matplotlib.pyplot as plt
X = load_iris('data')[0]
p = PCA(n_components=2)
X = p.fit_transform(X)
for i in range(50):
	plt.plot(X[i][0],X[i][1],"o",color = "green")
for i in range(50,100):
	plt.plot(X[i][0],X[i][1],"o",color = "red")
for i in range(100,150):
	plt.plot(X[i][0],X[i][1],"o",color = "blue")
plt.show()