docstr: Code Manager to execute the code generated by LLMs.
  Args:
      dfs (List): List of Dataframes
      config (Union[Config, dict]): Config
      logger (Logger): Logger
docstr_tok: ["Code","Manager","to","execute","the","code","generated","by","LLMs",".","Args",":","dfs","(","List",")",":","List","of","Dataframes","config","(","Union","[","Config",",","dict","]",")",":","Config","logger","(","Logger",")",":","Logger"]
code: def __init__(
      self,
      dfs: List,
      config: Union[Config, dict],
      logger: Logger,
  ):
      """
      Code Manager to execute the code generated by LLMs.
      Args:
          dfs (List): List of Dataframes
          config (Union[Config, dict]): Config
          logger (Logger): Logger
      """
      self._dfs = dfs
      self._config = config
      self._logger = logger
  
imports: import re
  import ast
  import uuid
  from collections import defaultdict
  import astor
  import pandas
  from pandasai.helpers.path import find_project_root
  from pandasai.helpers.skills_manager import SkillsManager
  from pandasai.helpers.sql import extract_table_names
  from .node_visitors import AssignmentVisitor, CallVisitor
  from .save_chart import add_save_chart
  from .optional import import_dependency
  from ..exceptions import BadImportError, MaliciousQueryError, NoResultFoundError, InvalidConfigError
  from ..constants import WHITELISTED_BUILTINS, WHITELISTED_LIBRARIES
  from typing import Union, List, Generator, Any
  from ..helpers.logger import Logger
  from ..schemas.df_config import Config
  import logging
  import traceback
label_desc: Use image node_id 1 to create a new CodeManager object  with example: obj = CodeManager(dfs, config, logger)