class_docstr: The multi labels type for the constructor of DFtoVW.
class_docstr_tok: ["The","multi","labels","type","for","the","constructor","of","DFtoVW","."]
docstr: Returns the MultiLabel string representation.
  
  Args:
      df: The dataframe from which to select the column(s).
  
  Returns:
      The MultiLabel string representation.
docstr_tok: ["Returns","the","MultiLabel","string","representation",".","Args",":","df",":","The","dataframe","from","which","to","select","the","column","(","s",")",".","Returns",":","The","MultiLabel","string","representation","."]
code: def process(self, df: pd.DataFrame) -> pd.Series:
      """Returns the MultiLabel string representation.
  
      Args:
          df: The dataframe from which to select the column(s).
  
      Returns:
          The MultiLabel string representation.
      """
      labels = (
          self.label if isinstance(self.label, list) else [self.label]
      )
      for i, label in enumerate(labels):
          label_col = label.get_col(df)
          if i == 0:
              out = label_col
          else:
              out += "," + label_col
      return out
  
imports: import warnings
  import numpy
  import pandas
  from typing import Any, Hashable, List, Optional, Tuple, Type, Union
label_desc: Use image node_id 2 for calling the MultiLabel obj's underlying member method code with example usage: obj.process(df) and returns: out