_display_aggregate_results() — langchain Function Reference

Architecture documentation for the _display_aggregate_results() function in runner_utils.py from the langchain codebase.

Function python LangChainCore Runnables calls 1 called by 1

Entity Profile

LangChainCore→ Runnables→ _display_aggregate_results() — langchain Function Reference

Dependency Diagram

graph TD
  9f2d07d1_c1f1_bf7e_d690_30c9e25f4004["_display_aggregate_results()"]
  8253c602_7d0c_9195_a7e1_3e9b19304131["runner_utils.py"]
  9f2d07d1_c1f1_bf7e_d690_30c9e25f4004 -->|defined in| 8253c602_7d0c_9195_a7e1_3e9b19304131
  f2fb82ef_40a0_07e3_1d8e_3a52a5a502ce["finish()"]
  f2fb82ef_40a0_07e3_1d8e_3a52a5a502ce -->|calls| 9f2d07d1_c1f1_bf7e_d690_30c9e25f4004
  8d744069_e975_7da0_ccb1_c99580663aed["_is_jupyter_environment()"]
  9f2d07d1_c1f1_bf7e_d690_30c9e25f4004 -->|calls| 8d744069_e975_7da0_ccb1_c99580663aed
  style 9f2d07d1_c1f1_bf7e_d690_30c9e25f4004 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/smith/evaluation/runner_utils.py lines 1306–1318

def _display_aggregate_results(aggregate_results: pd.DataFrame) -> None:
    if _is_jupyter_environment():
        from IPython.display import HTML, display

        display(HTML("<h3>Experiment Results:</h3>"))  # type: ignore[no-untyped-call]
        display(aggregate_results)  # type: ignore[no-untyped-call]
    else:
        formatted_string = aggregate_results.to_string(
            float_format=lambda x: f"{x:.2f}",
            justify="right",
        )
        print("\n Experiment Results:")  # noqa: T201
        print(formatted_string)  # noqa: T201