docs: def read_csv(filepath, sep=',', header='infer', names=None, usecols=None, dtype=None, converters=None,
               skiprows=None, nrows=None):
      """Read CSV into DataFrame.
  
      Eager implementation using pandas, i.e. entire file is read at this point. Only common/relevant parameters
      available at the moment; for full list, could use pandas directly and then convert to baloo.
  
      Parameters
      ----------
      filepath : str
      sep : str, optional
          Separator used between values.
      header : 'infer' or None, optional
          Whether to infer the column names from the first row or not.
      names : list of str, optional
          List of column names to use. Overrides inferred header.
      usecols : list of (int or str), optional
          Which columns to parse.
      dtype : dict, optional
          Dict of column -> type to parse as.
      converters : dict, optional
          Dict of functions for converting values in certain columns.
      skiprows : int, optional
          Number of lines to skip at start of file.
      nrows : int, optional
          Number of rows to read.
  
      Returns
      -------
      DataFrame
  
      See Also
      --------
      pandas.read_csv : https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html
  
      """
      pd_df = pd_read_csv(filepath,
                          sep=sep,
                          header=header,
                          names=names,
                          usecols=usecols,
                          dtype=dtype,
                          converters=converters,
                          skiprows=skiprows,
                          nrows=nrows)
  
      return DataFrame.from_pandas(pd_df)