08 · Two series across two CI columns, then text

Each cohort has one visual row and two source records, one per CI column. The cohort display field is physically placed after the shared statistical triple and rendered after both CI columns. The series legend is placed in that trailing column’s header.

XLSX · CSV · PNG

Run the example

from forestploter import read_forest_data
from forestploter.gallery_cases import plot_two_by_two_ci_columns

df = read_forest_data("08_two_by_two_ci_columns.xlsx", sheet_name="Forest")
result = plot_two_by_two_ci_columns(df)
result.save("08_two_by_two_ci_columns.png", dpi=300)

Plot function used by the gallery and tests

def plot_two_by_two_ci_columns(df: ForestInput) -> ForestPlotResult:
    """Plot case 08: two series, two aligned CI columns, then text."""

    columns = (
        ForestColumn("outcome", "Outcome", "text", 2.4),
        ForestColumn("n", "N", "numeric", 0.6, "right"),
        ForestColumn("ci_crude", "Crude model [95% CI]", "ci", 3.4, "center"),
        ForestColumn("ci_adjusted", "Adjusted model [95% CI]", "ci", 3.4, "center"),
        ForestColumn("cohort", "Cohort", "text", 1.1),
    )
    styles = {
        "Cohort A": ForestSeriesStyle("Cohort A", "#1F4E79", marker="s"),
        "Cohort B": ForestSeriesStyle("Cohort B", "#D97706", marker="o"),
    }
    return forest(
        df,
        columns=columns,
        ref_line=1.0,
        xlim=(0.5, 1.5),
        ticks_at=(0.5, 0.75, 1.0, 1.25, 1.5),
        title="Two cohorts aligned across crude and adjusted CI columns",
        figure_width=14.5,
        series_styles=styles,
        legend=ForestLegendSpec(location="header", column_key="cohort", ncol=1),
    )