python-载入data_iris

from matlotlib import pyplot as plt
import numpy as np
from sklearn.datasets import load_iris

data=load_iris()
type(data)=sklearn.datasets.base.bench

features = data.data
feature_names = data.feature_names
target = data.target
target_names = data.target_names

for t in range(3):
 if t == 0:
     c = 'r'
     marker = '>'
 elif t == 1:
     c = 'g'
     marker = 'o'
 elif t == 2:
     c = 'b'
     marker = 'x'
 plt.scatter(features[target == t, 0],
            features[target == t, 1],
            marker=marker,
            c=c)

输出结果为画出数据散点图。