parameters: (fname, **kwargs)
return_statement: return output
docstring: Load ASCII data stored in a comma-separated file.
  
      The returned array is a record array (if ``usemask=False``, see
      `recarray`) or a masked record array (if ``usemask=True``,
      see `ma.mrecords.MaskedRecords`).
  
      Parameters
      ----------
      fname, kwargs : For a description of input parameters, see `genfromtxt`.
  
      See Also
      --------
      numpy.genfromtxt : generic function to load ASCII data.
  
      Notes
      -----
      By default, `dtype` is None, which means that the data-type of the output
      array will be determined from the data.
docstring_summary: Load ASCII data stored in a comma-separated file.
docstring_tokens: Load ASCII data stored in a comma - separated file .
function: def recfromcsv(fname, **kwargs):
      """
      Load ASCII data stored in a comma-separated file.
  
      The returned array is a record array (if ``usemask=False``, see
      `recarray`) or a masked record array (if ``usemask=True``,
      see `ma.mrecords.MaskedRecords`).
  
      Parameters
      ----------
      fname, kwargs : For a description of input parameters, see `genfromtxt`.
  
      See Also
      --------
      numpy.genfromtxt : generic function to load ASCII data.
  
      Notes
      -----
      By default, `dtype` is None, which means that the data-type of the output
      array will be determined from the data.
  
      """
      # Set default kwargs for genfromtxt as relevant to csv import.
      kwargs.setdefault("case_sensitive", "lower")
      kwargs.setdefault("names", True)
      kwargs.setdefault("delimiter", ",")
      kwargs.setdefault("dtype", None)
      output = genfromtxt(fname, **kwargs)
  
      usemask = kwargs.get("usemask", False)
      if usemask:
          from numpy.ma.mrecords import MaskedRecords
          output = output.view(MaskedRecords)
      else:
          output = output.view(np.recarray)
      return output
function_tokens: def recfromcsv ( fname , * * kwargs ) : # Set default kwargs for genfromtxt as relevant to csv import. kwargs . setdefault ( "case_sensitive" , "lower" ) kwargs . setdefault ( "names" , True ) kwargs . setdefault ( "delimiter" , "," ) kwargs . setdefault ( "dtype" , None ) output = genfromtxt ( fname , * * kwargs ) usemask = kwargs . get ( "usemask" , False ) if usemask : from numpy . ma . mrecords import MaskedRecords output = output . view ( MaskedRecords ) else : output = output . view ( np . recarray ) return output