numpy

import numpy as np
from sklearn.datasets import load_iris
data = load_iris()<br><br>print(data)
print("数据类型：",type(data))
print("数据类目：",data.keys())
iris_feature = data.feature_names,data.data
print("鸢尾花特征：",iris_feature)
print("iris_feature数据类型",type(iris_feature))
iris_target = data.target
print("鸢尾花数据类别：",iris_target)
print("iris_target数据类型：",type(iris_target))
sepal_len = np.array(list(len[0] for len in data.data))
print("花萼长度：",sepal_len)
pental_len = np.array(list(len[2] for len in data.data))
pental_len.resize(2,50) #重新分配花瓣长度内存
pental_wid = np.array(list(len[3] for len in data.data))
pental_wid.resize(2,50) #重新分配花瓣宽度内存
iris_lens = (pental_len,pental_wid)
print("花瓣长宽：",iris_lens)
print("特征：",data.data[1])
print("类别：",data.target[1])
#建立3个相应列表存放数据
iris_set = []
iris_ver = []
iris_vir = []

for i in range(0,150):
if data.target[i] == 0:
Data = data.data[i].tolist()
Data.append('setosa')
iris_set.append(Data)
elif data.target[i] ==1:
Data = data.data[i].tolist()
Data.append('versicolor')
iris_ver.append(Data)
else:
Data = data.data[i].tolist()
Data.append('virginica')
iris_vir.append(Data)
datas = (iris_set,iris_ver,iris_vir)
print("新数组：",datas)