# pandas.errors.ParserWarning

exception `pandas.errors.``ParserWarning`

  Warning raised when reading a file that doesn’t use the default ‘c’ parser.

  Raised by pd.read_csv and pd.read_table when it is necessary to change parsers, generally from the default ‘c’ parser to ‘python’.

  It happens due to a lack of support or functionality for parsing a particular attribute of a CSV file with the requested engine.

  Currently, ‘c’ unsupported options include the following parameters:

  1. sep other than a single character (e.g. regex separators)
  2. skipfooter higher than 0
  3. sep=None with delim_whitespace=False

  The warning can be avoided by adding engine=’python’ as a parameter in pd.read_csv and pd.read_table methods.

  See also

  `pd.read_csv`
    Read CSV (comma-separated) file into DataFrame.
  `pd.read_table`
    Read general delimited file into DataFrame.

  Examples

  Using a sep in pd.read_csv other than a single character:

      >>> import io
      >>> csv = '''a;b;c
      ...           1;1,8
      ...           1;2,1'''
      >>> df = pd.read_csv(io.StringIO(csv), sep='[;,]')  # doctest: +SKIP
      ... # ParserWarning: Falling back to the 'python' engine...

  Adding engine=’python’ to pd.read_csv removes the Warning:

      >>> df = pd.read_csv(io.StringIO(csv), sep='[;,]', engine='python')

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