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/// How multiple series are rendered within each age-group row.
#[derive(Debug, Clone, Default)]
pub enum PyramidMode {
/// Each series gets its own horizontal sub-band (stacked vertically within the row).
/// This is the default — it keeps series visually distinct and easy to compare.
#[default]
Grouped,
/// All series are drawn with transparency on top of each other.
/// Useful for a single comparison (e.g., two time points).
Overlap,
}
/// A single series (e.g., one census year) in a [`PopulationPyramid`].
#[derive(Debug, Clone)]
pub struct PyramidSeries {
/// Series label shown in the legend (e.g., `"1960"`, `"2020"`).
pub label: String,
/// `(age_label, left_value, right_value)` — one entry per age group.
pub groups: Vec<(String, f64, f64)>,
/// Explicit CSS color for this series. Falls back to `Palette::category10()`.
pub color: Option<String>,
/// Fill opacity used in [`PyramidMode::Overlap`]. Default `0.6`.
pub opacity: f64,
}
impl PyramidSeries {
pub fn new(label: impl Into<String>) -> Self {
PyramidSeries {
label: label.into(),
groups: vec![],
color: None,
opacity: 0.6,
}
}
}
/// Population pyramid — a back-to-back horizontal bar chart split by a categorical axis.
///
/// Each row is one age group; the left side shows one demographic (e.g., Male),
/// the right side shows another (e.g., Female).
///
/// **Single-series** (most common): use [`with_group`](Self::with_group) to add each row.
///
/// **Multi-series** (census comparison): use [`with_series`](Self::with_series) to add
/// named series (e.g., different years). Each series gets its own sub-band within each
/// age group in [`PyramidMode::Grouped`] (default), or overlapping bars in
/// [`PyramidMode::Overlap`].
///
/// # Examples
///
/// ```rust,no_run
/// use kuva::plot::pyramid::{PopulationPyramid, PyramidMode};
/// use kuva::render::{plots::Plot, layout::Layout, render::render_multiple};
/// use kuva::backend::svg::SvgBackend;
///
/// // Single-series pyramid
/// let plot = PopulationPyramid::new()
/// .with_left_label("Male")
/// .with_right_label("Female")
/// .with_group("0–4", 6.5, 6.2)
/// .with_group("5–9", 6.8, 6.5)
/// .with_group("10–14", 6.9, 6.6)
/// .with_group("65+", 3.1, 4.2);
///
/// let plots = vec![Plot::Pyramid(plot)];
/// let layout = Layout::auto_from_plots(&plots).with_title("Population Pyramid");
/// let svg = SvgBackend.render_scene(&render_multiple(plots, layout));
/// std::fs::write("pyramid.svg", svg).unwrap();
/// ```
#[derive(Debug, Clone)]
pub struct PopulationPyramid {
/// All data series (one for a simple pyramid, multiple for census comparison).
pub series: Vec<PyramidSeries>,
/// Label placed above the left half (e.g., `"Male"`).
pub left_label: String,
/// Label placed above the right half (e.g., `"Female"`).
pub right_label: String,
/// CSS color for the left bars in single-series mode. Default: `"#4C72B0"`.
pub left_color: String,
/// CSS color for the right bars in single-series mode. Default: `"#DD8452"`.
pub right_color: String,
/// Normalise values to percent of total population. Default `false`.
pub normalize: bool,
/// Show value labels on each bar. Default `false`.
pub show_values: bool,
/// Fraction of each row height reserved as blank space between rows.
/// Default `0.15` (15% gap).
pub group_gap: f64,
/// Additional gap between sub-bands in [`PyramidMode::Grouped`].
/// Expressed as a fraction of the row height. Default `0.04`.
pub bar_gap: f64,
/// How multiple series are displayed within each age-group row.
/// Default [`PyramidMode::Grouped`].
pub mode: PyramidMode,
/// Show a legend. Default `false`.
pub show_legend: bool,
}
impl Default for PopulationPyramid {
fn default() -> Self {
Self::new()
}
}
impl PopulationPyramid {
/// Create a [`PopulationPyramid`] with default settings.
pub fn new() -> Self {
PopulationPyramid {
series: vec![],
left_label: "Left".to_string(),
right_label: "Right".to_string(),
left_color: "#4C72B0".to_string(),
right_color: "#DD8452".to_string(),
normalize: false,
show_values: false,
group_gap: 0.15,
bar_gap: 0.04,
mode: PyramidMode::Grouped,
show_legend: false,
}
}
// ── Data builders ─────────────────────────────────────────────────────────
/// Add a single age-group row (convenience for single-series mode).
///
/// Creates an anonymous first series if none exists.
pub fn with_group(
mut self,
age_label: impl Into<String>,
left: impl Into<f64>,
right: impl Into<f64>,
) -> Self {
if self.series.is_empty() {
self.series.push(PyramidSeries::new(""));
}
self.series[0]
.groups
.push((age_label.into(), left.into(), right.into()));
self
}
/// Add a named series (multi-series / census comparison mode).
///
/// `groups` is an iterator of `(age_label, left_value, right_value)`.
pub fn with_series<S, A, L, R, I>(mut self, name: S, groups: I) -> Self
where
S: Into<String>,
A: Into<String>,
L: Into<f64>,
R: Into<f64>,
I: IntoIterator<Item = (A, L, R)>,
{
let mut s = PyramidSeries::new(name);
for (age, left, right) in groups {
s.groups.push((age.into(), left.into(), right.into()));
}
self.series.push(s);
self
}
// ── Labels ────────────────────────────────────────────────────────────────
/// Set the label for the left side (e.g., `"Male"`).
pub fn with_left_label(mut self, label: impl Into<String>) -> Self {
self.left_label = label.into();
self
}
/// Set the label for the right side (e.g., `"Female"`).
pub fn with_right_label(mut self, label: impl Into<String>) -> Self {
self.right_label = label.into();
self
}
// ── Colors ────────────────────────────────────────────────────────────────
/// Set the bar color for the left side (single-series mode).
pub fn with_left_color(mut self, color: impl Into<String>) -> Self {
self.left_color = color.into();
self
}
/// Set the bar color for the right side (single-series mode).
pub fn with_right_color(mut self, color: impl Into<String>) -> Self {
self.right_color = color.into();
self
}
/// Set an explicit CSS color for a named series (multi-series mode).
pub fn with_series_color(mut self, name: &str, color: impl Into<String>) -> Self {
if let Some(s) = self.series.iter_mut().find(|s| s.label == name) {
s.color = Some(color.into());
}
self
}
// ── Options ───────────────────────────────────────────────────────────────
/// Normalise all values to percent of total population.
pub fn with_normalize(mut self, normalize: bool) -> Self {
self.normalize = normalize;
self
}
/// Show / hide value labels on each bar.
pub fn with_show_values(mut self, show: bool) -> Self {
self.show_values = show;
self
}
/// Set the fraction of each row height occupied by bars (0–1).
///
/// `bar_width = 0.8` means bars fill 80% of the row, leaving 10% blank
/// above and below as padding. This is the complement of `group_gap`:
/// `bar_width = 1.0 - group_gap`. Default: `0.85` (i.e. `group_gap = 0.15`).
pub fn with_bar_width(mut self, width: f64) -> Self {
self.group_gap = (1.0 - width).clamp(0.0, 0.9);
self
}
/// Set the fraction of row height reserved as blank space between rows (0–0.9).
/// Equivalent to `with_bar_width(1.0 - gap)`.
pub fn with_group_gap(mut self, gap: f64) -> Self {
self.group_gap = gap.clamp(0.0, 0.9);
self
}
/// Set the additional gap between sub-bands in Grouped mode (0–0.5).
pub fn with_bar_gap(mut self, gap: f64) -> Self {
self.bar_gap = gap.clamp(0.0, 0.5);
self
}
/// Set the rendering mode (Grouped or Overlap).
pub fn with_mode(mut self, mode: PyramidMode) -> Self {
self.mode = mode;
self
}
/// Show / hide the legend.
pub fn with_legend(mut self, show: bool) -> Self {
self.show_legend = show;
self
}
// ── Internal helpers ──────────────────────────────────────────────────────
/// Age group labels taken from the first series (bottom → top order).
pub fn age_labels(&self) -> Vec<String> {
self.series
.first()
.map(|s| s.groups.iter().map(|(l, _, _)| l.clone()).collect())
.unwrap_or_default()
}
/// Total population: sum of every `left + right` across all series and groups.
/// Used as the denominator when `normalize = true`.
pub fn total_population(&self) -> f64 {
self.series
.iter()
.flat_map(|s| s.groups.iter())
.map(|(_, l, r)| l + r)
.sum()
}
/// Maximum value across all data (after normalisation if enabled).
/// This defines the half-width of the symmetric x axis.
pub fn max_value(&self) -> f64 {
if self.series.is_empty() {
return 1.0;
}
let denom = if self.normalize {
self.total_population().max(1e-10) / 100.0
} else {
1.0
};
self.series
.iter()
.flat_map(|s| s.groups.iter())
.map(|(_, l, r)| (l / denom).max(r / denom))
.fold(0.0_f64, f64::max)
}
/// Number of age groups (from the first series).
pub fn n_groups(&self) -> usize {
self.series.first().map_or(0, |s| s.groups.len())
}
}