docs: def convert(*args, **kargs):
      """ Wrapper around CountryConverter.convert()
  
      Uses the same parameters. This function has the same performance as
      CountryConverter.convert for one call; for multiple calls it is better to
      instantiate a common CountryConverter (this avoid loading the source data
      file multiple times).
  
      Note
      ----
      A lot of the functionality can also be done directly in Pandas DataFrames.
      For example:
      cc = CountryConverter()
      names = ['USA', 'SWZ', 'PRI']
      cc.data[cc.data['ISO3'].isin(names)][['ISO2', 'continent']]
  
      Parameters
      ----------
      names : str or list like
          Countries in 'src' classification to convert to 'to' classification
  
      src : str, optional
          Source classification
  
      to : str, optional
          Output classification (valid str for an index of the
          country data file), default: name_short
  
      enforce_list : boolean, optional
          If True, enforces the output to be list (if only one name was passed)
          or to be a list of lists (if multiple names were passed).  If False
          (default), the output will be a string (if only one name was passed) or
          a list of str and/or lists (str if a one to one matching, list
          otherwise).
  
      not_found : str, optional
          Fill in value for not found entries. If None, keep the input value
          (default: 'not found')
  
      country_data : Pandas DataFrame or path to data file (optional)
          This is by default set to COUNTRY_DATA_FILE - the standard (tested)
          country list for coco.
  
      additional_data: (list of) Pandas DataFrames or data files (optional)
           Additional data to include for a specific analysis.
           This must be given in the same format as specified in the
           country_data_file. (utf-8 encoded tab separated data, same
           column headers as in the general country data file)
  
      Returns
      -------
      list or str, depending on enforce_list
  
      """
      init = {'country_data': COUNTRY_DATA_FILE,
              'additional_data': None,
              'only_UNmember': False,
              'include_obsolete': False}
      init.update({kk: kargs.get(kk) for kk in init.keys() if kk in kargs})
      coco = CountryConverter(**init)
      kargs = {kk: ii for kk, ii in kargs.items() if kk not in init.keys()}
      return coco.convert(*args, **kargs)