10.11作业

import numpy
from sklearn.datasets import load_iris    
data = load_iris()
print(‘数据类型:‘,type(data))
print(‘数据包含内容:‘,data.keys())

iris_feature = data[‘feature_names‘],data[‘data‘]
print(‘鸢尾花数据：‘,iris_feature)
iris_target = data.target,data.target_names
print(‘鸢尾花形状类型：‘,iris_target)

iris_len = numpy.array(list(len[0] for len in data[‘data‘]))#取出所有花的花萼长度(cm)的数据
print(‘所有花萼长度：‘,sepal_length)

iris_length = numpy.array(list(len[2] for len in data[‘data‘])) #取出所有花的花瓣长度(cm)+花瓣宽度(cm)的数据
iris_length.resize(5,30)
iris_width = numpy.array(list(len[3] for len in data[‘data‘]))
iris_width.resize(5,30)
iris_len_wid = (iris_length,iris_width)
print(‘所有花的花瓣长宽:‘,iris_len_wid)

print(‘第一朵花特征:‘,data[‘data‘][0]) #取出某朵花的四个特征及其类别。
print(‘第一朵花类别:‘,data[‘target‘][0])

iris_setosa = []      #定义三个新列表用于存放数据
iris_versicolor = []
iris_virginica = []

for i in range(0,150):#用for循环分类，并把target为0和1分别放入setosa类型和versicolor存放
    if  data[‘target‘][i] == 0:  
        data1 = data[‘data‘][i].tolist()
        data1.append(‘setosa‘)
        iris_setosa.append(data1)
    elif data[‘target‘][i] == 1:  
        data1 = data[‘data‘][i].tolist()
        data1.append(‘versicolor‘)
        iris_versicolor.append(data1)
    else:                          
        data1 = data[‘data‘][i].tolist()
        data1.append(‘virginica‘)
        iris_virginica.append(data1

data2 = (iris_setosa,iris_versicolor,iris_virginica)#生成新的数组，每个元素包含四个特征+类别
print(‘新数组分类结果：‘,data2)