import matplotlib.pyplot as plt
from sklearn import datasets

from sklearn.feature_selection import univariate_selection
iris = datasets.load_iris()
X =iris.data[:,:2]
Y =iris.target


plt.figure(2,figsize=(8,6))
plt.clf()

plt.scatter(X[:,0],X[:,1]);
plt.show()
31621e8797f46d6bbf2caf3798615910cac29c0c
<mask token>

<mask token>
plt.figure(2, figsize=(8, 6))
plt.clf()
plt.scatter(X[:, 0], X[:, 1])
plt.show()

<mask token>
iris = datasets.load_iris()
X = iris.data[:, :2]
Y = iris.target
plt.figure(2, figsize=(8, 6))
plt.clf()
plt.scatter(X[:, 0], X[:, 1])
plt.show()

import matplotlib.pyplot as plt
from sklearn import datasets
from sklearn.feature_selection import univariate_selection
iris = datasets.load_iris()
X = iris.data[:, :2]
Y = iris.target
plt.figure(2, figsize=(8, 6))
plt.clf()
plt.scatter(X[:, 0], X[:, 1])
plt.show()

import matplotlib.pyplot as plt
from sklearn import datasets

from sklearn.feature_selection import univariate_selection
iris = datasets.load_iris()
X =iris.data[:,:2]
Y =iris.target


plt.figure(2,figsize=(8,6))
plt.clf()

plt.scatter(X[:,0],X[:,1]);
plt.show()