我有这样的说明：从导入数据集https://archive.ics.uci.edu/ml/machine-learning-databases/auto-mpg/auto-mpg.data或Pandas的原始数据。使用read_csv的name参数和咨询添加列名：https://archive.ics.uci.edu/ml/machine-learning-databases/auto-mpg/auto-mpg.names。您可以检查使用sep=r"；\s+"；。
所以我下载数据集并使用sep＝r〃；\s+"：
data_auto = pd.read_csv("https://archive.ics.uci.edu/ml/machine-learning-databases/auto-mpg/auto-mpg.data-original", comment="#", sep=r"s+")
，但我不知道如何使用这个扩展名为.names的奇怪文件来设置列名。你们有主意吗？谢谢
这里有一个使用pandas.read_fwf的命题：
import pandas as pd
# --- Retrieving the columns names
cols_df = pd.read_fwf("https://archive.ics.uci.edu/ml/machine-learning-databases/auto-mpg/auto-mpg.names", header=None)
cols_df.loc[cols_df[1] == 'Attribute Information:', 0] = 'Attribute Information'
cols_df = cols_df.ffill()
cols_df.iloc[:,0] == 'Attribute Information'
cols_df['column_name'] = cols_df[1].str.split(r's* s*|s*:s*').str[1]
cols_df = cols_df[cols_df[0] == 'Attribute Information']
cols_names = cols_df['column_name'].tolist()[1:]
# --- Creating the AUTO dataframe
data_auto = pd.read_csv("https://archive.ics.uci.edu/ml/machine-learning-databases/auto-mpg/auto-mpg.data-original", header=None, comment="#", sep=r"s+", names=cols_names)
#输出：
print(data_auto.head())
mpg cylinders displacement horsepower weight acceleration model origin car
0 18.0 8.0 307.0 130.0 3504.0 12.0 70.0 1.0 chevrolet chevelle malibu
1 15.0 8.0 350.0 165.0 3693.0 11.5 70.0 1.0 buick skylark 320
2 18.0 8.0 318.0 150.0 3436.0 11.0 70.0 1.0 plymouth satellite
3 16.0 8.0 304.0 150.0 3433.0 12.0 70.0 1.0 amc rebel sst
4 17.0 8.0 302.0 140.0 3449.0 10.5 70.0 1.0 ford torino