Construct a json agent from an LLM and tools.
langchain.agents.create_pandas_dataframe_agent(llm: langchain.base_language.BaseLanguageModel, df: Any, agent_type: langchain.agents.agent_types.AgentType = AgentType.ZERO_SHOT_REACT_DESCRIPTION, callback_manager: Optional[langchain.callbacks.base.BaseCallbackManager] = None, prefix: Optional[str] = None, suffix: Optional[str] = None, input_variables: Optional[List[str]] = None, verbose: bool = False, return_intermediate_steps: bool = False, max_iterations: Optional[int] = 15, max_execution_time: Optional[float] = None, early_stopping_method: str = 'force', agent_executor_kwargs: Optional[Dict[str, Any]] = None, include_df_in_prompt: Optional[bool] = True, **kwargs: Dict[str, Any]) → langchain.agents.agent.AgentExecutor[source]#
Construct a pandas agent from an LLM and dataframe.
rtdocs_stable/api.python.langchain.com/en/stable/reference/modules/agents.html