class_docstr: Executes the code generated by the prompt
class_docstr_tok: ["Executes","the","code","generated","by","the","prompt"]
code: def execute(self, input: Any, **kwargs) -> Any:
      code_exec = BaseCodeExecutor()
      logger = kwargs.get("logger")
      try:
          logger.log(f"Executing code: {input}")
          namespace = code_exec.execute(input, **kwargs)
  
          if "df" not in namespace:
              raise ValueError(f"Unable to execute code: {input}")
  
          return {"type": "dataframe", "value": namespace["df"]}
  
      except Exception:
          if logger is not None:
              logger.log("Error in executing code")
          raise
  
imports: from typing import Any
  from pandasai.pipelines.base_logic_unit import BaseLogicUnit
  from pandasai.pipelines.logic_units.code_executor import BaseCodeExecutor
label_desc: Use image node_id 1 for calling the SDFCodeExecutor obj's underlying member method code with example usage: obj.execute(input) and returns: dict