我正面临着我的故障csv输入文件整个阅读的问题，我可以通过添加**“error_bad_lines=False”**在我的read_csv函数中删除这些来处理。
但我需要报告这些文件，这是造成的问题，我假设我需要捕捉该异常。我尝试使用

except pd.parser.CParserError

以及

except ExceptionSubclass as exceptionsubclass:

在互联网上搜索后，在这两种情况下，我不能赶上这个异常，如果你有任何想法如何报告所有的故障文件，请让我知道。
我得到的错误：

Traceback (most recent call last):
  File "main.py", line 134, in reading_csv
    df = pd.read_csv(absolute_path_of_file, sep=',', dtype=str, keep_default_na=False)
    data = self._reader.read(nrows)
  File "pandas/_libs/parsers.pyx", line 890, in pandas._libs.parsers.TextReader.read (pandas/_libs/parsers.c:10862)
  File "pandas/_libs/parsers.pyx", line 912, in pandas._libs.parsers.TextReader._read_low_memory (pandas/_libs/parsers.c:11138)
  File "pandas/_libs/parsers.pyx", line 966, in pandas._libs.parsers.TextReader._read_rows (pandas/_libs/parsers.c:11884)
  File "pandas/_libs/parsers.pyx", line 953, in pandas._libs.parsers.TextReader._tokenize_rows (pandas/_libs/parsers.c:11755)
  File "pandas/_libs/parsers.pyx", line 2184, in pandas._libs.parsers.raise_parser_error (pandas/_libs/parsers.c:28765)
pandas.errors.ParserError: Error tokenizing data. C error: Expected 7 fields in line 22, saw 8