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书中源码没有问题，请检查一下您的代码，代码中是否获取了网页地址，完整代码如下：

pandas pd
pd.set_option(, )
df=pd.DataFrame()
url_list=[]
i (1,14):
    url=+(i)
    url_list.append(url)
url url_list:
    df=df.append(pd.read_html(url),=)
(df)
df=df[[x.startswith() x df[3]]]
(df)
df.to_excel(,=[,,,],=)

pandas pd
pd.set_option(, )
df=pd.DataFrame()
url_list=[]
i (1,14):
    url=+(i)
    url_list.append(url)
url url_list:
    df=df.append(pd.read_html(url),=)
(df)
df=df[[x.startswith() x df[3]]]
(df)
df.to_excel(,=[,,,],=)

D:\pycharm_Project_数据分析\venv\Scripts\python.exe D:/pycharm_Project_数据分析/pandas学习/dataframe对象/导入HTML文件.py

D:\pycharm_Project_数据分析\pandas学习\dataframe对象\导入HTML文件.py:11: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

  df = df.append(pd.read_html(url),ignore_index=True)

D:\pycharm_Project_数据分析\pandas学习\dataframe对象\导入HTML文件.py:11: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

  df = df.append(pd.read_html(url),ignore_index=True)

D:\pycharm_Project_数据分析\pandas学习\dataframe对象\导入HTML文件.py:11: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

  df = df.append(pd.read_html(url),ignore_index=True)

D:\pycharm_Project_数据分析\pandas学习\dataframe对象\导入HTML文件.py:11: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

  df = df.append(pd.read_html(url),ignore_index=True)

D:\pycharm_Project_数据分析\pandas学习\dataframe对象\导入HTML文件.py:11: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

  df = df.append(pd.read_html(url),ignore_index=True)

D:\pycharm_Project_数据分析\pandas学习\dataframe对象\导入HTML文件.py:11: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

  df = df.append(pd.read_html(url),ignore_index=True)

D:\pycharm_Project_数据分析\pandas学习\dataframe对象\导入HTML文件.py:11: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

  df = df.append(pd.read_html(url),ignore_index=True)

D:\pycharm_Project_数据分析\pandas学习\dataframe对象\导入HTML文件.py:11: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

  df = df.append(pd.read_html(url),ignore_index=True)

D:\pycharm_Project_数据分析\pandas学习\dataframe对象\导入HTML文件.py:11: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

  df = df.append(pd.read_html(url),ignore_index=True)

D:\pycharm_Project_数据分析\pandas学习\dataframe对象\导入HTML文件.py:11: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

  df = df.append(pd.read_html(url),ignore_index=True)

       0                    1                       2            3

1     41     Jaylen Brown, SG          Boston Celtics  $26,758,928

2     42    DeMar DeRozan, SF           Chicago Bulls  $26,000,000

3     43   Draymond Green, PF   Golden State Warriors  $24,026,712

4     44    Nikola Vucevic, C           Chicago Bulls  $24,000,000

5     45     John Collins, PF           Atlanta Hawks  $23,000,000

..   ...                  ...                     ...          ...

479  476  Ryan Arcidiacono, G         New York Knicks     $546,800

480  477  DeAndre' Bembry, SG         Milwaukee Bucks     $518,021

481  478     Goran Dragic, PG           Brooklyn Nets     $460,463

482  479     Jevon Carter, PG         Milwaukee Bucks     $441,277

483  480  Trendon Watford, PF  Portland Trail Blazers     $436,482

[440 rows x 4 columns]

D:\pycharm_Project_数据分析\pandas学习\dataframe对象\导入HTML文件.py:11: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

  df = df.append(pd.read_html(url),ignore_index=True)

这个返回结果中报错信息太多了

看那段代码，似乎没有写完