09 · Deep hierarchy and many rows

Several regions, two indentation levels, subtotals, spacer rows, and thirty visual rows exercise vertical scaling and hierarchy readability.

XLSX · CSV · PNG

Run the example

from forestploter import read_forest_data
from forestploter.gallery_cases import plot_deep_hierarchy_many_rows

df = read_forest_data("09_deep_hierarchy_many_rows.xlsx", sheet_name="Forest")
result = plot_deep_hierarchy_many_rows(df)
result.save("09_deep_hierarchy_many_rows.png", dpi=300)

Plot function used by the gallery and tests

def plot_deep_hierarchy_many_rows(df: ForestInput) -> ForestPlotResult:
    """Plot case 09: deep indentation and many rows."""

    columns = (
        ForestColumn("label", "Region / subgroup", "text", 3.0),
        ForestColumn("n", "N", "numeric", 0.7, "right"),
        ForestColumn("effect_display", "Mean difference [95% CI]", "numeric", 2.0, "right"),
        ForestColumn("ci", "Regional treatment effect", "ci", 3.5, "center"),
    )
    return forest(
        df,
        columns=columns,
        ref_line=0.0,
        xlim=(-1.0, 1.0),
        ticks_at=(-1.0, -0.5, 0.0, 0.5, 1.0),
        arrow_lab=("Favours treatment", "Favours control"),
        title="Deep hierarchy and many-row layout stress test",
        figure_width=11.8,
        row_height=0.31,
    )