11 · Boundaries and floating-point precision

Exact endpoints, zero-width intervals, very narrow intervals, and one-micro-unit overflows verify clipping decisions at numerical boundaries.

XLSX · CSV · PNG

Run the example

from forestploter import read_forest_data
from forestploter.gallery_cases import plot_boundary_precision

df = read_forest_data("11_boundary_precision.xlsx", sheet_name="Forest")
result = plot_boundary_precision(df)
result.save("11_boundary_precision.png", dpi=300)

Plot function used by the gallery and tests

def plot_boundary_precision(df: ForestInput) -> ForestPlotResult:
    """Plot case 11: exact boundaries and floating-point precision."""

    columns = (
        ForestColumn("scenario", "Numerical scenario", "text", 2.6),
        ForestColumn("position", "Expected position", "text", 1.2),
        ForestColumn("interval_display", "Estimate [95% CI]", "numeric", 2.2, "right"),
        ForestColumn("ci", "High-precision axis", "ci", 3.5, "center"),
    )
    return forest(
        df,
        columns=columns,
        ref_line=0.0,
        ideal_line=0.333333,
        xlim=(-1.0, 1.0),
        ticks_at=(-1.0, -0.333333, 0.0, 0.333333, 1.0),
        arrow_lab=("Lower", "Higher"),
        title="Exact limits, zero-width intervals, and floating-point precision",
        figure_width=12.5,
    )