parameters: (*args, **kwds)
return_statement: return TextFileReader(*args, **kwds)
docstring: Converts lists of lists/tuples into DataFrames with proper type inference
      and optional (e.g. string to datetime) conversion. Also enables iterating
      lazily over chunks of large files
  
      Parameters
      ----------
      data : file-like object or list
      delimiter : separator character to use
      dialect : str or csv.Dialect instance, optional
          Ignored if delimiter is longer than 1 character
      names : sequence, default
      header : int, default 0
          Row to use to parse column labels. Defaults to the first row. Prior
          rows will be discarded
      index_col : int or list, optional
          Column or columns to use as the (possibly hierarchical) index
      has_index_names: bool, default False
          True if the cols defined in index_col have an index name and are
          not in the header.
      na_values : scalar, str, list-like, or dict, optional
          Additional strings to recognize as NA/NaN.
      keep_default_na : bool, default True
      thousands : str, optional
          Thousands separator
      comment : str, optional
          Comment out remainder of line
      parse_dates : bool, default False
      keep_date_col : bool, default False
      date_parser : function, optional
      skiprows : list of integers
          Row numbers to skip
      skipfooter : int
          Number of line at bottom of file to skip
      converters : dict, optional
          Dict of functions for converting values in certain columns. Keys can
          either be integers or column labels, values are functions that take one
          input argument, the cell (not column) content, and return the
          transformed content.
      encoding : str, optional
          Encoding to use for UTF when reading/writing (ex. 'utf-8')
      squeeze : bool, default False
          returns Series if only one column.
      infer_datetime_format: bool, default False
          If True and `parse_dates` is True for a column, try to infer the
          datetime format based on the first datetime string. If the format
          can be inferred, there often will be a large parsing speed-up.
      float_precision : str, optional
          Specifies which converter the C engine should use for floating-point
          values. The options are None for the ordinary converter,
          'high' for the high-precision converter, and 'round_trip' for the
          round-trip converter.
docstring_summary: Converts lists of lists/tuples into DataFrames with proper type inference
      and optional (e.g. string to datetime) conversion. Also enables iterating
      lazily over chunks of large files
docstring_tokens: Converts lists of lists / tuples into DataFrames with proper type inference and optional ( e . g . string to datetime ) conversion . Also enables iterating lazily over chunks of large files
function: def TextParser(*args, **kwds):
      """
      Converts lists of lists/tuples into DataFrames with proper type inference
      and optional (e.g. string to datetime) conversion. Also enables iterating
      lazily over chunks of large files
  
      Parameters
      ----------
      data : file-like object or list
      delimiter : separator character to use
      dialect : str or csv.Dialect instance, optional
          Ignored if delimiter is longer than 1 character
      names : sequence, default
      header : int, default 0
          Row to use to parse column labels. Defaults to the first row. Prior
          rows will be discarded
      index_col : int or list, optional
          Column or columns to use as the (possibly hierarchical) index
      has_index_names: bool, default False
          True if the cols defined in index_col have an index name and are
          not in the header.
      na_values : scalar, str, list-like, or dict, optional
          Additional strings to recognize as NA/NaN.
      keep_default_na : bool, default True
      thousands : str, optional
          Thousands separator
      comment : str, optional
          Comment out remainder of line
      parse_dates : bool, default False
      keep_date_col : bool, default False
      date_parser : function, optional
      skiprows : list of integers
          Row numbers to skip
      skipfooter : int
          Number of line at bottom of file to skip
      converters : dict, optional
          Dict of functions for converting values in certain columns. Keys can
          either be integers or column labels, values are functions that take one
          input argument, the cell (not column) content, and return the
          transformed content.
      encoding : str, optional
          Encoding to use for UTF when reading/writing (ex. 'utf-8')
      squeeze : bool, default False
          returns Series if only one column.
      infer_datetime_format: bool, default False
          If True and `parse_dates` is True for a column, try to infer the
          datetime format based on the first datetime string. If the format
          can be inferred, there often will be a large parsing speed-up.
      float_precision : str, optional
          Specifies which converter the C engine should use for floating-point
          values. The options are None for the ordinary converter,
          'high' for the high-precision converter, and 'round_trip' for the
          round-trip converter.
      """
      kwds["engine"] = "python"
      return TextFileReader(*args, **kwds)
function_tokens: def TextParser ( * args , * * kwds ) : kwds [ "engine" ] = "python" return TextFileReader ( * args , * * kwds )