如何从UCI机器学习存储库将数据集(.data和.names)直接读取到Python DataFrame中

import pandas as pd
import urllib

url_data = "https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data"
data = urllib.request.urlopen(url_data)

df = pd.DataFrame()

for line in data:
    line = line.decode("utf-8")  # 将字节数据解码为字符串
    line = line.strip()  # 去除行尾的换行符
    line_data = line.split(",")  # 将每行数据按逗号分割为列表
    df = df.append(pd.Series(line_data), ignore_index=True)  # 将列表转换为Series，并添加到DataFrame中

url_names = "https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.names"
names = urllib.request.urlopen(url_names)

feature_names = []
for line in names:
    line = line.decode("utf-8")
    if line.startswith("1."):
        feature_name = line.split(":")[0].strip()
        feature_names.append(feature_name)
df.columns = feature_names