class_docstr: Convert a pandas DataFrame to a suitable VW format.
  Instances of this class are built with classes such as SimpleLabel,
  MulticlassLabel, Feature or Namespace.
  
  The class also provided a convenience constructor to initialize the class
  based on the target/features column names only.
class_docstr_tok: ["Convert","a","pandas","DataFrame","to","a","suitable","VW","format",".","Instances","of","this","class","are","built","with","classes","such","as","SimpleLabel",",","MulticlassLabel",",","Feature","or","Namespace",".","The","class","also","provided","a","convenience","constructor","to","initialize","the","class","based","on","the","target\/features","column","names","only","."]
docstr: Process the label and tag into a unique column.
  
  Returns:
      A column where each row is the processed label and tag.
docstr_tok: ["Process","the","label","and","tag","into","a","unique","column",".","Returns",":","A","column","where","each","row","is","the","processed","label","and","tag","."]
code: def process_label_and_tag(self) -> pd.Series:
      """Process the label and tag into a unique column.
  
      Returns:
          A column where each row is the processed label and tag.
      """
      out = self.empty_col()
      if self.label is not None:
          out += self.label.process(self.df) + " "
      if self.tag is not None:
          out += self.tag.process(self.df)
      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 14 for calling the DFtoVW obj's underlying member method code with example usage: obj.process_label_and_tag() and returns: out