docstr: Draw a box plot to show distributions with respect to categories.
  
  Args:
      col (str | list[str] | None): The column(s) of interest
      for the box plot. Defaults to None.
      by (str | list[str] | None): The grouping variable(s)
      for the box plot. Defaults to None.
      style (str | None): The textual description of the desired
      style. Defaults to None.
  
  Returns:
      str: LLM response.
docstr_tok: ["Draw","a","box","plot","to","show","distributions","with","respect","to","categories",".","Args",":","col","(","str","|","list","[","str","]","|","None",")",":","The","column","(","s",")","of","interest","for","the","box","plot",".","Defaults","to","None",".","by","(","str","|","list","[","str","]","|","None",")",":","The","grouping","variable","(","s",")","for","the","box","plot",".","Defaults","to","None",".","style","(","str","|","None",")",":","The","textual","description","of","the","desired","style",".","Defaults","to","None",".","Returns",":","str",":","LLM","response","."]
code: def boxplot(
      self,
      col: Union[str, list[str]] = None,
      by: Union[str, list[str]] = None,
      style: str = None,
  ):
      """
      Draw a box plot to show distributions with respect to categories.
  
      Args:
          col (str | list[str] | None): The column(s) of interest
          for the box plot. Defaults to None.
          by (str | list[str] | None): The grouping variable(s)
          for the box plot. Defaults to None.
          style (str | None): The textual description of the desired
          style. Defaults to None.
  
      Returns:
          str: LLM response.
  
      """
  
      if not isinstance(col, (str, list, type(None))):
          raise TypeError(
              "The 'col' argument must be a string, a list of strings, or None."
          )
      if not isinstance(by, (str, list, type(None))):
          raise TypeError(
              "The 'by' argument must be a string, a list of strings, or None."
          )
  
      prompt = "Plot a box-and-whisker plot"
  
      if isinstance(col, str):
          prompt += f" for the variable '{col}'"
      elif isinstance(col, list):
          var_list = [f"'{v}'" for v in col]
          if len(var_list) > 1:
              variables_str = ", ".join(var_list[:-1])
              prompt += f" for the variables {variables_str} and {var_list[-1]}"
          else:
              prompt += f" for the variable {var_list[0]}"
  
      if by is not None:
          prompt += f" grouped by '{by}'"
  
      if style is not None:
          prompt += f"\nStyle: '''{style}'''"
  
      self.chat(prompt)
  
imports: from ..helpers.df_info import DataFrameType
  from typing import Union
  from abc import ABC, abstractmethod
label_desc: Use image node_id 13 for calling the Shortcuts obj's underlying member method code with example usage: obj.boxplot(col, by, style) without return types