怎么把sklearn里的iris dataset转为pandas.Dataframe的形式？

方法一：

from sklearn.datasets import load_iris
import pandas as pd
import numpy as np

iris = load_iris()
df = pd.DataFrame(iris.data, columns=iris.feature_names)

方法二：

iris数据在UCI网站上也有，可以从网站上导入

import pandas

url = "https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data"

names = ['sepal-length', 'sepal-width', 'petal-length', 'petal-width', 'class']

dataset = pandas.read_csv(url, names=names) #读取csv数据

如果你需要把y列也放进dataframe里的话

from sklearn import datasets
import pandas as pd
import numpy as np

iris = datasets.load_iris()
col_names = iris['feature_names'] + ['target']
data = pd.DataFrame(data= np.c_[iris['data'], iris['target']], columns=col_names)