def fmt_metric_table()

in analysis/render.py [0:0]

• 27 lines of code
• 3 McCabe index (conditional complexity)

def fmt_metric_table(df: pd.DataFrame) -> str:
    """Format a DataFrame of metric results as a markdown table"""
    if df.empty:
        return ""

    control_variant = str(df["ControlVariant"].iloc[0])

    def fmt_control_value(row: pd.Series):
        return fmt_metric_value(row["ControlMetricValue"], row["MetricType"])

    return (
        pd.DataFrame(
            {
                "MetricId": df["MetricId"],
                "Metric": df["MetricDisplayName"],
                control_variant: df.apply(fmt_control_value, axis=1),
                "TreatmentVariant": df["TreatmentVariant"],
                "TreatmentBadge": df.apply(fmt_treatment_badge, axis=1),
            }
        )
        .pivot(
            index=["MetricId", "Metric", control_variant],
            columns="TreatmentVariant",
            values="TreatmentBadge",
        )
        .reset_index()
        .drop(columns="MetricId")
        .rename(columns=lambda x: x if x == "Metric" else x + " 💊")
        .sort_values("Metric")
        .to_markdown(index=False, colalign=("left", "right"))
    )