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ggplot_rs/geom/
violin.rs

1use std::collections::HashMap;
2
3use crate::aes::Aesthetic;
4use crate::coord::Coord;
5use crate::data::DataFrame;
6use crate::position::Position;
7use crate::render::backend::{DrawBackend, LineStyle, Linetype, RectStyle};
8use crate::render::RenderError;
9use crate::scale::ScaleSet;
10use crate::stat::ydensity::StatYDensity;
11use crate::stat::Stat;
12use crate::theme::Theme;
13
14use super::{Geom, GeomParams};
15
16/// How violins are sized relative to each other (ggplot2's `scale`).
17#[derive(Clone, Copy, Debug, Default, PartialEq, Eq)]
18pub enum ViolinScale {
19    /// Every violin has the same area (ggplot2's default).
20    #[default]
21    Area,
22    /// Areas proportional to the number of observations.
23    Count,
24    /// Every violin has the same maximum width.
25    Width,
26}
27
28/// Violin geometry — mirrored density polygon per group.
29#[derive(Clone, Debug)]
30pub struct GeomViolin {
31    pub fill: (u8, u8, u8),
32    pub color: (u8, u8, u8),
33    pub alpha: f64,
34    pub line_width: f64,
35    /// Relative sizing of the violins (`scale`).
36    pub scale: ViolinScale,
37    /// Trim to the data range (`trim`, default true); passed to the stat.
38    pub trim: bool,
39    /// Fixed bandwidth (`bw`); `None` = `bw.nrd0`. Passed to the stat.
40    pub bw: Option<f64>,
41    /// Bandwidth multiplier (`adjust`). Passed to the stat.
42    pub adjust: f64,
43    /// Draw horizontal lines at these sample quantiles (`quantiles`).
44    pub quantiles: Vec<f64>,
45    /// Quantile line style (`quantile.linetype`).
46    pub quantile_linetype: Linetype,
47    /// Quantile line colour; `None` = the outline colour.
48    pub quantile_color: Option<(u8, u8, u8)>,
49}
50
51impl Default for GeomViolin {
52    fn default() -> Self {
53        GeomViolin {
54            fill: (97, 156, 255),
55            color: (50, 50, 50),
56            alpha: 0.7,
57            line_width: 0.5,
58            scale: ViolinScale::Area,
59            trim: true,
60            bw: None,
61            adjust: 1.0,
62            quantiles: Vec::new(),
63            quantile_linetype: Linetype::Solid,
64            quantile_color: None,
65        }
66    }
67}
68
69impl GeomViolin {
70    /// `scale = "area" | "count" | "width"`.
71    pub fn with_scale(mut self, scale: ViolinScale) -> Self {
72        self.scale = scale;
73        self
74    }
75
76    /// `trim = FALSE`: extend the density into the tails.
77    pub fn untrimmed(mut self) -> Self {
78        self.trim = false;
79        self
80    }
81
82    /// `bw` — a fixed kernel bandwidth.
83    pub fn with_bw(mut self, bw: f64) -> Self {
84        self.bw = Some(bw);
85        self
86    }
87
88    /// `adjust` — bandwidth multiplier.
89    pub fn with_adjust(mut self, adjust: f64) -> Self {
90        self.adjust = adjust;
91        self
92    }
93
94    /// `quantiles = c(…)` — draw lines at these sample quantiles.
95    pub fn with_quantiles(mut self, q: impl IntoIterator<Item = f64>) -> Self {
96        self.quantiles = q.into_iter().collect();
97        self
98    }
99}
100
101impl Geom for GeomViolin {
102    fn draw(
103        &self,
104        data: &DataFrame,
105        coord: &dyn Coord,
106        scales: &ScaleSet,
107        _theme: &Theme,
108        backend: &mut dyn DrawBackend,
109    ) -> Result<(), RenderError> {
110        let x_col = data
111            .column("x")
112            .ok_or(RenderError::MissingAesthetic("x".into()))?;
113        let y_col = data
114            .column("y")
115            .ok_or(RenderError::MissingAesthetic("y".into()))?;
116        let width_col = data
117            .column("violinwidth")
118            .ok_or(RenderError::MissingAesthetic("violinwidth".into()))?;
119        let fill_col = data.column("fill");
120
121        let plot_area = backend.plot_area();
122        let x_scale = scales.get(&Aesthetic::X);
123        let y_scale = scales.get(&Aesthetic::Y);
124
125        // Half-width of a group's slot, in the X scale's mapped space. Mirror the
126        // boxplot: discrete axes share the slot between all groups; continuous
127        // axes use a small fixed fraction.
128        let x_is_discrete = x_scale.map(|s| s.is_discrete()).unwrap_or(false);
129        let max_half_width = if x_is_discrete {
130            let n = x_scale.map(|s| s.breaks().len()).unwrap_or(1);
131            0.75 / (n.max(1) as f64 * 2.5)
132        } else {
133            0.03
134        };
135
136        // A dodge (the default `position_dodge`) shifts each violin within its
137        // x slot and shares the slot's width between the groups there (#404).
138        let x_mapper = super::support::XMapper::new(data, scales);
139        // `scale`: area → density / the largest density of all violins;
140        // count → each violin's own peak × n / max n; width → own peak.
141        let density_col = data.column("density");
142        let n_col = data.column("n");
143        let max_of = |c: Option<&[crate::data::Value]>| {
144            c.map(|c| c.iter().filter_map(|v| v.as_f64()).fold(0.0_f64, f64::max))
145                .unwrap_or(0.0)
146        };
147        let (max_density, max_n) = (max_of(density_col), max_of(n_col));
148        let rel_width = |i: usize| -> f64 {
149            let own = width_col[i].as_f64().unwrap_or(0.0);
150            match self.scale {
151                ViolinScale::Width => own,
152                ViolinScale::Area => match density_col.and_then(|c| c[i].as_f64()) {
153                    Some(d) if max_density > 0.0 => d / max_density,
154                    _ => own,
155                },
156                ViolinScale::Count => match n_col.and_then(|c| c[i].as_f64()) {
157                    Some(n) if max_n > 0.0 => own * n / max_n,
158                    _ => own,
159                },
160            }
161        };
162        let series: Vec<Option<String>> = (0..data.nrows())
163            .map(|i| super::series_key(data, i))
164            .collect();
165
166        // The stat vstacks one contiguous block of points per group; partition
167        // rows back into groups (keyed by x and the group / fill / colour
168        // level, so grouped violins at one x stay separate) and draw a
169        // polygon each.
170        let mut order: Vec<String> = Vec::new();
171        let mut groups: HashMap<String, Vec<usize>> = HashMap::new();
172        for (i, xv) in x_col.iter().enumerate() {
173            let key = format!("{xv:?}\u{1f}{:?}", series[i]);
174            if !groups.contains_key(&key) {
175                order.push(key.clone());
176                groups.insert(key.clone(), Vec::new());
177            }
178            groups.get_mut(&key).unwrap().push(i);
179        }
180
181        for key in &order {
182            let idxs = &groups[key];
183            let first = idxs[0];
184            let nx = if x_scale.is_some() {
185                x_mapper.map(&x_col[first], first)
186            } else {
187                0.5
188            };
189            let max_half_width = max_half_width / x_mapper.slot_n(first);
190            let fill_color = fill_col
191                .and_then(|fc| scales.map_color(&Aesthetic::Fill, &fc[first]))
192                .unwrap_or(self.fill);
193            let group = Some(super::tip_value(&x_col[first])).filter(|s| !s.is_empty());
194            super::set_mark(
195                backend,
196                group.clone(),
197                group,
198                super::series_key(data, first),
199                None,
200            );
201            super::set_mark_formatted(backend, scales, Some(&x_col[first]), &Aesthetic::Y, None);
202
203            // Right side (top→bottom) then left side reversed to close the polygon.
204            let mut right_side: Vec<(f64, f64)> = Vec::with_capacity(idxs.len());
205            let mut left_side: Vec<(f64, f64)> = Vec::with_capacity(idxs.len());
206            for &i in idxs {
207                let ny = y_scale.map(|s| s.map(&y_col[i])).unwrap_or(0.0);
208                let half = rel_width(i) * max_half_width;
209                right_side.push(coord.transform((nx + half, ny), &plot_area));
210                left_side.push(coord.transform((nx - half, ny), &plot_area));
211            }
212
213            let mut polygon = right_side;
214            left_side.reverse();
215            polygon.extend(left_side);
216
217            if polygon.len() >= 3 {
218                backend.draw_polygon(
219                    &polygon,
220                    &RectStyle {
221                        fill: Some(fill_color),
222                        stroke: Some(self.color),
223                        stroke_width: self.line_width,
224                        alpha: self.alpha,
225                        clip: true,
226                        corner_radius: 0.0,
227                    },
228                )?;
229            }
230
231            // Quantile lines across the violin at the stat's sample quantiles,
232            // as wide as the violin at that y (linear interpolation).
233            let quantiles = data
234                .column("quantiles")
235                .and_then(|c| c[first].as_str().map(str::to_string));
236            if let Some(q) = quantiles {
237                let mut profile: Vec<(f64, f64)> = idxs
238                    .iter()
239                    .filter_map(|&i| y_col[i].as_f64().map(|y| (y, rel_width(i))))
240                    .collect();
241                profile.sort_by(|a, b| a.0.total_cmp(&b.0));
242                for qy in q.split(',').filter_map(|v| v.parse::<f64>().ok()) {
243                    let Some(w) = interpolate(&profile, qy) else {
244                        continue;
245                    };
246                    let half = w * max_half_width;
247                    let ny = y_scale.map(|s| s.map(&crate::data::Value::Float(qy)));
248                    let Some(ny) = ny else { continue };
249                    backend.draw_line(
250                        &[
251                            coord.transform((nx - half, ny), &plot_area),
252                            coord.transform((nx + half, ny), &plot_area),
253                        ],
254                        &LineStyle {
255                            color: self.quantile_color.unwrap_or(self.color),
256                            width: self.line_width.max(0.5),
257                            alpha: 1.0,
258                            linetype: self.quantile_linetype.clone(),
259                            ..Default::default()
260                        },
261                    )?;
262                }
263            }
264        }
265        super::clear_mark(backend);
266
267        Ok(())
268    }
269
270    fn required_aes(&self) -> Vec<Aesthetic> {
271        vec![Aesthetic::X, Aesthetic::Y]
272    }
273
274    fn default_stat(&self) -> Box<dyn Stat> {
275        Box::new(StatYDensity {
276            trim: self.trim,
277            bw: self.bw,
278            adjust: self.adjust,
279            quantiles: self.quantiles.clone(),
280            ..Default::default()
281        })
282    }
283
284    /// ggplot2's default: grouped violins sit side by side in their x slot.
285    fn default_position(&self) -> Box<dyn Position> {
286        Box::new(crate::position::dodge::PositionDodge)
287    }
288
289    fn default_params(&self) -> GeomParams {
290        GeomParams::default()
291    }
292
293    fn name(&self) -> &str {
294        "violin"
295    }
296
297    fn apply_element_geom(&mut self, el: &crate::theme::elements::ElementGeom) {
298        if let (true, Some(ink)) = (self.color == (50, 50, 50), el.ink) {
299            self.color = ink;
300        }
301    }
302
303    fn set_series_color(&mut self, color: (u8, u8, u8)) {
304        self.fill = color;
305    }
306}
307
308/// Width of a sorted `(y, width)` profile at `y` (linear), `None` outside it.
309fn interpolate(profile: &[(f64, f64)], y: f64) -> Option<f64> {
310    let (first, last) = (profile.first()?, profile.last()?);
311    if y < first.0 || y > last.0 {
312        return None;
313    }
314    let k = profile.partition_point(|p| p.0 < y);
315    if k == 0 {
316        return Some(first.1);
317    }
318    let (a, b) = (profile[k - 1], profile.get(k).copied().unwrap_or(*last));
319    let t = if b.0 > a.0 {
320        (y - a.0) / (b.0 - a.0)
321    } else {
322        0.0
323    };
324    Some(a.1 + t * (b.1 - a.1))
325}