带有 read_csv 的嵌套 If 语句 [重复]

Posted 2023-02-23

【中文标题】带有 read_csv 的嵌套 If 语句 [重复]

【英文标题】：Nested If statement with read_csv [duplicate]

【发布时间】：2019-10-08 07:00:49

【问题描述】：

有一个 if 语句从服务器下载文件。当它不在 if 语句中时，脚本运行良好，但是，在 if 语句中它给了我一个错误。有什么想法吗？

    leagues = 
            '1': 'Premier League',
            '2': 'Championship League',
            '3': 'League 1',
            '4': 'League 2',
            '5': 'Conference League'
        

        # Choose which league to model
        print("Please pick which league:\n")
        for ref, league in leagues.items():
            print(ref, ":", league)

        leagueChoice = input("Enter League Number: ")

        if leagueChoice == 1:
            df = pd.read_csv(
                "http://www.football- data.co.uk/mmz4281//E0.csv".format(season_year))

            england_teams = 
                '1': 'Arsenal',
            

            print(df.head)
            exit()
        elif leagueChoice == 2:
            df = pd.read_csv(
                "http://www.football-data.co.uk/mmz4281//E1.csv".format(season_year))

            england_teams = 
                '1': 'Aston Villa',
            
        elif leagueChoice == 3:
            df = pd.read_csv(
                "http://www.football-data.co.uk/mmz4281//E2.csv".format(season_year))

            england_teams = 
                '1': 'Accrington',
            
        elif leagueChoice == 4:
            df = pd.read_csv(
                "http://www.football-data.co.uk/mmz4281//E3.csv".format(season_year))

            england_teams = 
                '1': 'Bury',
            
        else:
            df = pd.read_csv(
                "http://www.football-data.co.uk/mmz4281//EC.csv".format(season_year))

            england_teams = 
                '1': 'Aldershot',
             

Traceback（最近一次调用最后一次）： 文件“pandas/_libs/parsers.pyx”，第 1169 行，在 pandas._libs.parsers.TextReader._convert_tokens 文件“pandas/_libs/parsers.pyx”，第 1299 行，在 pandas._libs.parsers.TextReader._convert_with_dtype 文件“pandas/_libs/parsers.pyx”，第 1315 行，在 pandas._libs.parsers.TextReader._string_convert 文件“pandas/_libs/parsers.pyx”，第 1553 行，在 pandas._libs.parsers._string_box_utf8 UnicodeDecodeError：“utf-8”编解码器无法解码位置 1 中的字节 0xa0：无效的起始字节

> During handling of the above exception, another exception occurred:

> Traceback (most recent call last):
  File "Soccer.py", line 794, in <module>
    main_menu()
  File "Soccer.py", line 64, in main_menu
    exec_menu(choice)
  File "Soccer.py", line 77, in exec_menu
    menu_actions[ch]()
  File "Soccer.py", line 571, in england
    "http://www.football-data.co.uk/mmz4281//EC.csv".format(season_year))
  File "/Users/user/anaconda3/lib/python3.6/site-packages/pandas/io/parsers.py", line 702, in parser_f
    return _read(filepath_or_buffer, kwds)
  File "/Users/user/anaconda3/lib/python3.6/site-packages/pandas/io/parsers.py", line 435, in _read
    data = parser.read(nrows)
  File "/Users/user/anaconda3/lib/python3.6/site-packages/pandas/io/parsers.py", line 1139, in read
    ret = self._engine.read(nrows)
  File "/Users/user/anaconda3/lib/python3.6/site-packages/pandas/io/parsers.py", line 1995, in read
    data = self._reader.read(nrows)
  File "pandas/_libs/parsers.pyx", line 899, in pandas._libs.parsers.TextReader.read
  File "pandas/_libs/parsers.pyx", line 914, in pandas._libs.parsers.TextReader._read_low_memory
  File "pandas/_libs/parsers.pyx", line 991, in pandas._libs.parsers.TextReader._read_rows
  File "pandas/_libs/parsers.pyx", line 1123, in pandas._libs.parsers.TextReader._convert_column_data
  File "pandas/_libs/parsers.pyx", line 1176, in pandas._libs.parsers.TextReader._convert_tokens
  File "pandas/_libs/parsers.pyx", line 1299, in pandas._libs.parsers.TextReader._convert_with_dtype
  File "pandas/_libs/parsers.pyx", line 1315, in pandas._libs.parsers.TextReader._string_convert
  File "pandas/_libs/parsers.pyx", line 1553, in pandas._libs.parsers._string_box_utf8
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xa0 in position 1: invalid start byte

【参考方案1】：

'utf-8' codec can't decode byte 0xa0 in position 1: invalid start byte 通常意味着它是一个无法解码为 un​​icode 字符串的字符（例如，智能引号）。因此，问题很可能出在 .csv 文档中，而不是代码本身。

要处理它，您可以将显式 encoding 参数传递给 read_csv()，如下所示：

df = pd.read_csv("<file>".format(season_year), encoding='<type>')

Here 是 Python 3 标准编码的一个很好的列表。