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deckcraft/crates/model/src/chart.rs
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//! Charts: an embedded data grid plus type and element options.
use serde::{Deserialize, Serialize};
use crate::style::{ColorRef, Fill, Line};
#[derive(Clone, Copy, Debug, Default, PartialEq, Eq, Serialize, Deserialize)]
#[serde(rename_all = "camelCase")]
pub enum ChartType {
#[default]
Column,
StackedColumn,
PercentColumn,
Bar,
StackedBar,
PercentBar,
Line,
LineMarkers,
StackedLine,
Area,
StackedArea,
Pie,
Doughnut,
Scatter,
Bubble,
Radar,
FilledRadar,
Stock,
Surface,
Histogram,
Pareto,
BoxWhisker,
Waterfall,
Funnel,
Treemap,
Sunburst,
Combo,
}
impl ChartType {
pub const MAIN: [ChartType; 12] = [
ChartType::Column,
ChartType::Bar,
ChartType::Line,
ChartType::Area,
ChartType::Pie,
ChartType::Doughnut,
ChartType::Scatter,
ChartType::Radar,
ChartType::Waterfall,
ChartType::Funnel,
ChartType::Histogram,
ChartType::Treemap,
];
pub fn label(self) -> &'static str {
match self {
ChartType::Column => "Clustered Column",
ChartType::StackedColumn => "Stacked Column",
ChartType::PercentColumn => "100% Stacked Column",
ChartType::Bar => "Clustered Bar",
ChartType::StackedBar => "Stacked Bar",
ChartType::PercentBar => "100% Stacked Bar",
ChartType::Line => "Line",
ChartType::LineMarkers => "Line with Markers",
ChartType::StackedLine => "Stacked Line",
ChartType::Area => "Area",
ChartType::StackedArea => "Stacked Area",
ChartType::Pie => "Pie",
ChartType::Doughnut => "Doughnut",
ChartType::Scatter => "Scatter",
ChartType::Bubble => "Bubble",
ChartType::Radar => "Radar",
ChartType::FilledRadar => "Filled Radar",
ChartType::Stock => "Stock",
ChartType::Surface => "Surface",
ChartType::Histogram => "Histogram",
ChartType::Pareto => "Pareto",
ChartType::BoxWhisker => "Box and Whisker",
ChartType::Waterfall => "Waterfall",
ChartType::Funnel => "Funnel",
ChartType::Treemap => "Treemap",
ChartType::Sunburst => "Sunburst",
ChartType::Combo => "Combo",
}
}
pub fn is_bar_like(self) -> bool {
matches!(
self,
ChartType::Column
| ChartType::StackedColumn
| ChartType::PercentColumn
| ChartType::Bar
| ChartType::StackedBar
| ChartType::PercentBar
| ChartType::Histogram
| ChartType::Pareto
| ChartType::Waterfall
)
}
pub fn horizontal(self) -> bool {
matches!(self, ChartType::Bar | ChartType::StackedBar | ChartType::PercentBar | ChartType::Funnel)
}
pub fn stacked(self) -> bool {
matches!(
self,
ChartType::StackedColumn
| ChartType::StackedBar
| ChartType::StackedLine
| ChartType::StackedArea
| ChartType::PercentColumn
| ChartType::PercentBar
)
}
pub fn percent(self) -> bool {
matches!(self, ChartType::PercentColumn | ChartType::PercentBar)
}
}
/// `c:trendlineType`: the six trendlines DrawingML charts store.
#[derive(Clone, Copy, Debug, Default, PartialEq, Eq, Serialize, Deserialize)]
#[serde(rename_all = "camelCase")]
pub enum TrendlineType {
Exp,
#[default]
Linear,
Log,
MovingAvg,
Poly,
Power,
}
impl TrendlineType {
pub fn xml(self) -> &'static str {
match self {
TrendlineType::Exp => "exp",
TrendlineType::Linear => "linear",
TrendlineType::Log => "log",
TrendlineType::MovingAvg => "movingAvg",
TrendlineType::Poly => "poly",
TrendlineType::Power => "power",
}
}
pub fn from_xml(s: &str) -> Option<Self> {
Some(match s {
"exp" => TrendlineType::Exp,
"linear" => TrendlineType::Linear,
"log" => TrendlineType::Log,
"movingAvg" => TrendlineType::MovingAvg,
"poly" => TrendlineType::Poly,
"power" => TrendlineType::Power,
_ => return None,
})
}
}
/// One `c:trendline` on a series. Polynomials use `order` (2–6); moving averages use `period`.
#[derive(Clone, Debug, PartialEq, Serialize, Deserialize)]
#[serde(default, rename_all = "camelCase")]
pub struct Trendline {
pub kind: TrendlineType,
/// `c:name`, when the file sets one.
#[serde(skip_serializing_if = "Option::is_none")]
pub name: Option<String>,
/// Polynomial order (`c:order`).
#[serde(skip_serializing_if = "Option::is_none")]
pub order: Option<u32>,
/// Moving-average period (`c:period`).
#[serde(skip_serializing_if = "Option::is_none")]
pub period: Option<u32>,
/// Forecast forward and backward, in category units (`c:forward`, `c:backward`).
#[serde(skip_serializing_if = "Option::is_none")]
pub forward: Option<f64>,
#[serde(skip_serializing_if = "Option::is_none")]
pub backward: Option<f64>,
/// Cross the value axis at this value (`c:intercept`).
#[serde(skip_serializing_if = "Option::is_none")]
pub intercept: Option<f64>,
/// Show the equation (`c:dispEq`).
pub disp_eq: bool,
/// Show R² (`c:dispRSqr`).
pub disp_r_sqr: bool,
}
impl Default for Trendline {
fn default() -> Self {
Trendline {
kind: TrendlineType::Linear,
name: None,
order: None,
period: None,
forward: None,
backward: None,
intercept: None,
disp_eq: false,
disp_r_sqr: false,
}
}
}
#[derive(Clone, Debug, Default, PartialEq, Serialize, Deserialize)]
#[serde(default, rename_all = "camelCase")]
pub struct Series {
pub name: String,
pub values: Vec<Option<f64>>,
/// X values for scatter/bubble.
pub x_values: Vec<Option<f64>>,
pub sizes: Vec<Option<f64>>,
pub fill: Option<Fill>,
pub line: Option<Line>,
/// Per-point fill overrides (pie slices).
pub point_fills: Vec<(usize, Fill)>,
pub data_labels: Option<bool>,
pub smooth: bool,
pub marker: Option<String>,
/// Combo charts: this series' own type.
pub kind: Option<ChartType>,
pub secondary_axis: bool,
/// The number format of the series' data labels (Excel code): the labels' own, else the
/// source data's.
#[serde(skip_serializing_if = "Option::is_none")]
pub number_format: Option<String>,
/// Trendlines (`c:trendline`), in file order.
#[serde(skip_serializing_if = "Vec::is_empty")]
pub trendlines: Vec<Trendline>,
}
#[derive(Clone, Debug, PartialEq, Serialize, Deserialize)]
#[serde(default, rename_all = "camelCase")]
pub struct Chart {
pub kind: ChartType,
pub title: Option<String>,
pub categories: Vec<String>,
pub series: Vec<Series>,
pub legend: Option<String>,
/// `c:legend/c:overlay`: the legend is drawn over the plot instead of shrinking it.
pub legend_overlay: bool,
/// Text size in points of the axis labels and legend (from their `c:txPr`, else the chart's);
/// `None`: the file gives none.
#[serde(skip_serializing_if = "Option::is_none")]
pub text_size: Option<f64>,
/// Title text size in points (its rich text or `c:txPr`).
#[serde(skip_serializing_if = "Option::is_none")]
pub title_size: Option<f64>,
pub data_labels: bool,
pub gridlines: bool,
pub axis_titles: (Option<String>, Option<String>),
/// Chart style number (1–48) and colour palette (`colorful1`, `monochrome3`…).
pub style: u32,
pub palette: String,
pub plot_fill: Option<Fill>,
pub chart_fill: Option<Fill>,
pub text_color: Option<ColorRef>,
pub hole_size: f64,
pub gap_width: f64,
pub overlap: f64,
pub vary_colors: bool,
pub y_min: Option<f64>,
pub y_max: Option<f64>,
/// The value axis' major unit, when the chart fixes it.
pub y_major: Option<f64>,
/// The value axis' number format (an Excel format code such as `#,##0` or `0.0%`).
pub y_format: Option<String>,
/// The value axis is deleted (`c:delete`): no labels, though gridlines may stay.
pub y_hidden: bool,
/// A combo chart's secondary value axis: bounds, major unit and number format.
pub y2_min: Option<f64>,
pub y2_max: Option<f64>,
pub y2_major: Option<f64>,
pub y2_format: Option<String>,
pub y2_hidden: bool,
/// The chart's language (`c:lang`, e.g. `ru-RU`): digit grouping and decimal mark.
pub lang: Option<String>,
/// Original chart XML part kept for round-trip of unmodelled options.
#[serde(skip_serializing_if = "Option::is_none")]
pub raw: Option<String>,
}
impl Default for Chart {
fn default() -> Self {
Chart {
kind: ChartType::Column,
title: Some("Chart Title".into()),
categories: vec![],
series: vec![],
legend: Some("b".into()),
legend_overlay: false,
text_size: None,
title_size: None,
data_labels: false,
gridlines: true,
axis_titles: (None, None),
style: 2,
palette: "colorful1".into(),
plot_fill: None,
chart_fill: None,
text_color: None,
hole_size: 0.5,
gap_width: 2.19,
overlap: -0.27,
vary_colors: false,
y_min: None,
y_max: None,
y_major: None,
y_format: None,
y_hidden: false,
y2_min: None,
y2_max: None,
y2_major: None,
y2_format: None,
y2_hidden: false,
lang: None,
raw: None,
}
}
}
impl Chart {
/// The sample data a new chart starts with (our own numbers).
pub fn sample(kind: ChartType) -> Self {
let cats = ["Q1", "Q2", "Q3", "Q4"];
let data = [[4.2, 2.6, 2.1], [2.8, 4.1, 2.4], [3.6, 1.9, 3.3], [4.7, 3.0, 5.1]];
let mut c = Chart { kind, categories: cats.iter().map(|s| s.to_string()).collect(), ..Default::default() };
let n_series =
if matches!(kind, ChartType::Pie | ChartType::Doughnut | ChartType::Funnel | ChartType::Waterfall | ChartType::Treemap) { 1 } else { 3 };
for s in 0..n_series {
c.series.push(Series {
name: format!("Series {}", s + 1),
values: data.iter().map(|row| row.get(s).copied()).collect(),
x_values: if kind == ChartType::Scatter { (1..=4).map(|x| Some(x as f64)).collect() } else { vec![] },
..Default::default()
});
}
c.vary_colors = n_series == 1;
c
}
/// A series' own chart type: its own in a combo chart (columns when it names none), else the
/// chart's.
pub fn series_kind(&self, s: &Series) -> ChartType {
match (self.kind, s.kind) {
(ChartType::Combo, Some(k)) if k != ChartType::Combo => k,
(ChartType::Combo, _) => ChartType::Column,
(k, _) => k,
}
}
/// Whether a series is plotted against the secondary value axis (combo charts only).
pub fn on_secondary(&self, s: &Series) -> bool {
self.kind == ChartType::Combo && s.secondary_axis
}
/// The value range of one value axis: the primary axis (`y_min`/`y_max` apply), or a combo
/// chart's secondary axis. A combo chart stacks only its stacked series. `None` when no series
/// uses that axis.
pub fn axis_range(&self, secondary: bool) -> Option<(f64, f64)> {
if self.kind != ChartType::Combo {
return (!secondary).then(|| self.value_range());
}
let (lo, hi) = self.plotted_extent(secondary)?;
let (lo, hi) = (lo.min(0.0), hi.max(0.0));
Some(if secondary { (lo, hi) } else { (self.y_min.unwrap_or(lo), self.y_max.unwrap_or(hi)) })
}
/// The smallest and largest value plotted against one value axis: plain values as they are,
/// stacked series as running sums from zero, 100 % series as 0–1. `(0, 0)` without finite
/// values; `None` when no series uses the axis.
fn plotted_extent(&self, secondary: bool) -> Option<(f64, f64)> {
let ser: Vec<&Series> = self.series.iter().filter(|s| self.on_secondary(s) == secondary).collect();
if ser.is_empty() {
return (!secondary && self.kind != ChartType::Combo).then_some((0.0, 0.0));
}
let (mut lo, mut hi) = (f64::INFINITY, f64::NEG_INFINITY);
let n = ser.iter().map(|s| s.values.len()).max().unwrap_or(0);
let mut percent = false;
for i in 0..n {
let (mut p, mut m, mut stacked) = (0.0, 0.0, false);
for s in &ser {
let k = self.series_kind(s);
let Some(v) = s.values.get(i).copied().flatten().filter(|v| v.is_finite()) else { continue };
if k.percent() {
percent = true;
} else if k.stacked() {
stacked = true;
if v >= 0.0 { p += v } else { m += v }
} else {
hi = hi.max(v);
lo = lo.min(v);
}
}
if stacked {
hi = hi.max(p);
lo = lo.min(m);
}
}
if percent {
lo = lo.min(0.0);
hi = hi.max(1.0);
}
Some(if lo <= hi { (lo, hi) } else { (0.0, 0.0) })
}
/// A value axis' scale — (min, max, major unit) — with at most `max_intervals` intervals:
/// the bounds and unit the chart fixes, else Office's automatic ones ([`axis_scale`](fn@axis_scale)).
/// `None` when no series uses the axis.
pub fn axis_scale(&self, secondary: bool, max_intervals: usize) -> Option<(f64, f64, f64)> {
let (lo, hi) = self.plotted_extent(secondary)?;
let (fmin, fmax, major) = if secondary { (self.y2_min, self.y2_max, self.y2_major) } else { (self.y_min, self.y_max, self.y_major) };
let full_percent = !secondary && self.kind.percent();
Some(axis_scale(lo, hi, fmin, fmax, major, max_intervals, !full_percent))
}
/// A value axis label in the axis' number format and the chart's language.
pub fn axis_label(&self, secondary: bool, v: f64) -> String {
let code = if secondary { &self.y2_format } else { &self.y_format };
// A 100 % stacked chart's value axis counts in percent unless the file says otherwise.
let code = match code.as_deref() {
None | Some("General") if !secondary && self.kind.percent() => "0%",
c => c.unwrap_or("General"),
};
crate::numfmt::format(code, v, self.lang.as_deref())
}
/// A data label of series `s`: its number format, else its axis', in the chart's language.
pub fn data_label(&self, s: &Series, v: f64) -> String {
let axis = if self.on_secondary(s) { &self.y2_format } else { &self.y_format };
let code = s.number_format.as_ref().or(axis.as_ref());
crate::numfmt::format(code.map_or("General", String::as_str), v, self.lang.as_deref())
}
/// Value range across series (stacked sums for stacked types).
pub fn value_range(&self) -> (f64, f64) {
let mut lo: f64 = 0.0;
let mut hi: f64 = 0.0;
let n = self.categories.len().max(self.series.iter().map(|s| s.values.len()).max().unwrap_or(0));
if self.kind.stacked() {
for i in 0..n {
let (mut p, mut m) = (0.0, 0.0);
for s in &self.series {
let v = s.values.get(i).copied().flatten().unwrap_or(0.0);
if v >= 0.0 { p += v } else { m += v }
}
hi = hi.max(p);
lo = lo.min(m);
}
} else {
for s in &self.series {
for v in s.values.iter().flatten() {
if v.is_finite() {
hi = hi.max(*v);
lo = lo.min(*v);
}
}
}
}
if self.kind.percent() {
return (0.0, 1.0);
}
(self.y_min.unwrap_or(lo), self.y_max.unwrap_or(hi))
}
}
/// The (min, max, major unit) of an axis over the data range [lo, hi]: `fmin`/`fmax`/`major`
/// where the chart fixes them; otherwise Office's automatic limits, rounded out to the smallest
/// 1-2-5 unit giving at most `max_intervals` intervals:
///
/// - **Maximum:** `hi + (hi − lo)/20` (with `headroom`), rounded up to the unit.
/// - **Minimum:** zero when every value is ≥ 0 and `lo` is below 5/6 of `hi`; otherwise
/// `lo − (hi − lo)/20`, rounded down to the unit, so values bunched high get an axis that starts
/// near them.
/// - All-negative values mirror this: the axis ends at zero when `hi` is above 5/6 of `lo`.
/// Mixed signs get headroom at both ends.
pub fn axis_scale(
lo: f64,
hi: f64,
fmin: Option<f64>,
fmax: Option<f64>,
major: Option<f64>,
max_intervals: usize,
headroom: bool,
) -> (f64, f64, f64) {
// Values past ±1e100 aren't axis values; clamping keeps the arithmetic finite.
let fin = |v: Option<f64>| v.filter(|v| v.is_finite()).map(|v| v.clamp(-1e100, 1e100));
let (fmin, fmax) = (fin(fmin), fin(fmax));
let (lo, hi) = if lo.is_finite() && hi.is_finite() { (lo.min(hi).clamp(-1e100, 1e100), lo.max(hi).clamp(-1e100, 1e100)) } else { (0.0, 1.0) };
// Office's automatic limits ("How chart axis limits are determined", as Jon Peltier
// summarises it): 5 % of the data range past the data, and zero when the values don't
// sit within the top sixth of their largest magnitude. A single value is measured from zero.
let flat = hi - lo < 1e-12;
let pad = if !headroom {
0.0
} else if flat {
hi.abs() / 20.0
} else {
(hi - lo) / 20.0
};
let auto_lo = if lo >= 0.0 && (flat || lo < hi * 5.0 / 6.0) { 0.0 } else { lo - pad };
let auto_hi = if hi <= 0.0 && (flat || hi > lo * 5.0 / 6.0) { 0.0 } else { hi + pad };
let mut lo = fmin.unwrap_or(auto_lo);
let mut hi = fmax.unwrap_or(auto_hi);
if hi - lo < 1e-12 {
// A fixed limit on the far side of the data: the automatic end gives way.
match (fmin, fmax) {
(None, Some(_)) => lo = if hi > 0.0 { 0.0 } else { hi - hi.abs().max(1.0) },
(Some(_), None) if lo < 0.0 => hi = 0.0,
_ => hi = lo + lo.abs().max(1.0),
}
}
let n = max_intervals.clamp(1, 50) as f64;
let step = match fin(major).filter(|m| *m > 0.0 && (hi - lo) / m <= 1000.0) {
Some(m) => m,
None => {
let mut step = 10f64.powf(((hi - lo) / n).log10().floor());
let mut k = 0;
// 1, 2, 5, 10, 20… × the magnitude until the intervals fit.
while ((hi / step).ceil() - (lo / step).floor()) > n && k < 30 {
step *= if matches!(k % 3, 1) { 2.5 } else { 2.0 };
k += 1;
}
step
}
};
let min = fmin.unwrap_or((lo / step + 1e-9).floor() * step);
let max = fmax.unwrap_or((hi / step - 1e-9).ceil() * step).max(min + step);
(min, max, step)
}
/// "Nice" axis scale: (min, max, major step) covering [lo, hi].
pub fn nice_scale(lo: f64, hi: f64) -> (f64, f64, f64) {
let (lo, hi) = if lo.is_finite() && hi.is_finite() { (lo.min(hi), lo.max(hi)) } else { (0.0, 1.0) };
let span = if hi - lo < 1e-12 { hi.abs().max(1.0) } else { hi - lo };
let raw = span / 5.0;
let mag = 10f64.powf(raw.log10().floor());
let norm = raw / mag;
let step = if norm <= 1.0 {
1.0
} else if norm <= 2.0 {
2.0
} else if norm <= 2.5 {
2.5
} else if norm <= 5.0 {
5.0
} else {
10.0
} * mag;
let min = (lo / step).floor() * step;
let max = (hi / step).ceil() * step;
let max = if (max - min).abs() < 1e-12 { min + step } else { max };
(min, max, step)
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn nice_scale_covers() {
let (a, b, s) = nice_scale(0.0, 5.1);
assert!(a <= 0.0 && b >= 5.1 && s > 0.0);
let (a, b, _) = nice_scale(f64::NAN, 3.0);
assert!(a.is_finite() && b.is_finite());
let (a, b, _) = nice_scale(7.0, 7.0);
assert!(b > a);
}
#[test]
fn automatic_axis_scales_like_powerpoint() {
// Weekly spend up to ~715 000 on a plot with room for 9 intervals: 0–800 000 by 100 000.
assert_eq!(axis_scale(0.0, 715_000.0, None, None, None, 9, true), (0.0, 800_000.0, 100_000.0));
// Clicks up to 6 600: 0–7 000 by 1 000.
assert_eq!(axis_scale(0.0, 6_600.0, None, None, None, 9, true), (0.0, 7_000.0, 1_000.0));
// Fewer intervals fit on a short axis.
assert_eq!(axis_scale(0.0, 6_600.0, None, None, None, 4, true), (0.0, 8_000.0, 2_000.0));
// Negative data gets room below; fixed bounds and unit are kept.
let (min, max, _) = axis_scale(-30.0, 100.0, None, None, None, 8, true);
assert!(min <= -30.0 && max >= 105.0);
assert_eq!(axis_scale(0.0, 715_000.0, Some(100_000.0), Some(750_000.0), Some(50_000.0), 9, true), (100_000.0, 750_000.0, 50_000.0));
// 100 % stacked stays at 0–1 without headroom.
assert_eq!(axis_scale(0.0, 1.0, None, None, None, 5, false), (0.0, 1.0, 0.2));
// Nonsense never loops or divides by zero.
for (lo, hi) in [(f64::NAN, 1.0), (5.0, 5.0), (0.0, 0.0), (-1e300, 1e300)] {
let (a, b, s) = axis_scale(lo, hi, None, None, Some(0.0), 0, true);
assert!(a.is_finite() && b.is_finite() && s > 0.0 && b > a, "{lo} {hi}: {a} {b} {s}");
}
}
fn column(values: &[f64]) -> Chart {
let series = Series { name: "Sales".into(), values: values.iter().map(|v| Some(*v)).collect(), ..Default::default() };
Chart { categories: (0..values.len()).map(|i| format!("C{i}")).collect(), series: vec![series], ..Default::default() }
}
/// The primary axis of a chart with room for ten intervals.
fn scale(c: &Chart) -> (f64, f64, f64) {
c.axis_scale(false, 10).unwrap_or_default()
}
/// Office's documented automatic limits (#144), with room for ten intervals.
#[test]
fn automatic_axis_matches_office() {
// #144: 42.1 / 18.7 / 6.3 → 0–45 in steps of 5, not 0–50 in steps of 10.
assert_eq!(scale(&column(&[42.1, 18.7, 6.3])), (0.0, 45.0, 5.0));
// PowerPoint's default chart data (max 5): 0–6 in steps of 1.
let mut c = column(&[4.3, 2.5, 3.5, 4.5]);
c.series.push(Series { values: [2.4, 4.4, 1.8, 2.8].map(Some).to_vec(), ..Default::default() });
c.series.push(Series { values: [2.0, 2.0, 3.0, 5.0].map(Some).to_vec(), ..Default::default() });
assert_eq!(scale(&c), (0.0, 6.0, 1.0));
// A maximum of 100 (or 10) gets 5 % headroom, which rounds up to the next major unit.
assert_eq!(scale(&column(&[100.0, 40.0])), (0.0, 120.0, 20.0));
assert_eq!(scale(&column(&[10.0, 3.0])), (0.0, 12.0, 2.0));
// Peltier's example: 2.95 + 2.95/20 ≈ 3.1 rounds up to 3.5.
assert_eq!(scale(&column(&[2.95, 0.0])), (0.0, 3.5, 0.5));
}
#[test]
fn automatic_axis_minimum() {
// Below 5/6 of the maximum the axis starts at zero; at or above it, a unit below
// min − (max − min)/20.
assert_eq!(scale(&column(&[59.0, 49.0])).0, 0.0);
assert_eq!(scale(&column(&[59.0, 50.0])), (48.0, 60.0, 2.0));
assert_eq!(scale(&column(&[85.0, 92.0, 97.0])), (84.0, 98.0, 2.0));
// All-negative data mirrors it: the axis ends at zero, or near the data.
assert_eq!(scale(&column(&[-42.1, -18.7, -6.3])), (-45.0, 0.0, 5.0));
assert_eq!(scale(&column(&[-59.0, -49.0])).1, 0.0);
assert_eq!(scale(&column(&[-59.0, -50.0])), (-60.0, -48.0, 2.0));
// Mixed signs get headroom at both ends.
assert_eq!(scale(&column(&[42.1, -18.7])), (-30.0, 50.0, 10.0));
// Stacked bars build up from zero, so their axis keeps it.
let mut s = column(&[85.0, 92.0]);
s.kind = ChartType::StackedColumn;
assert_eq!(scale(&s).0, 0.0);
// A combo chart's secondary axis follows the same rule.
let mut c = Chart::sample(ChartType::Combo);
c.series.truncate(2);
c.series[0].values = vec![Some(200_000.0), Some(310_000.0)];
c.series[1].kind = Some(ChartType::Line);
c.series[1].values = vec![Some(7_000.0), Some(7_400.0)];
c.series[1].secondary_axis = true;
assert_eq!(c.axis_scale(false, 10), Some((0.0, 350_000.0, 50_000.0)));
assert_eq!(c.axis_scale(true, 10), Some((6_950.0, 7_450.0, 50.0)));
}
#[test]
fn fixed_axis_limits_are_kept() {
let mut c = column(&[42.1, 18.7, 6.3]);
c.y_max = Some(50.0);
assert_eq!(scale(&c), (0.0, 50.0, 5.0));
c.y_min = Some(10.0);
c.y_max = None;
assert_eq!(scale(&c), (10.0, 45.0, 5.0));
// A fixed limit beyond the data: the automatic end gives way to it.
let mut c = column(&[85.0, 92.0, 97.0]);
c.y_max = Some(50.0);
assert_eq!(scale(&c), (0.0, 50.0, 5.0));
let mut c = column(&[-50.0, -48.0]);
c.y_min = Some(-10.0);
assert_eq!(scale(&c), (-10.0, 0.0, 1.0));
}
#[test]
fn percent_axis_is_zero_to_one() {
let mut p = column(&[42.1, 18.7, 6.3]);
p.kind = ChartType::PercentColumn;
assert_eq!(scale(&p), (0.0, 1.0, 0.1));
assert_eq!(p.axis_scale(false, 5), Some((0.0, 1.0, 0.2)));
}
#[test]
fn degenerate_axes_are_finite() {
for (a, b) in [(0.0, 0.0), (7.0, 7.0), (-7.0, -7.0), (f64::NAN, 3.0), (f64::INFINITY, 1.0), (-f64::MAX, f64::MAX), (0.0, 1e-320)] {
let (min, max, step) = scale(&column(&[a, b]));
assert!(min.is_finite() && max > min && step > 0.0, "{a} {b}: {min} {max} {step}");
}
let (min, max, _) = scale(&column(&[7.0, 7.0]));
assert!(min == 0.0 && max > 7.0);
assert_eq!(scale(&column(&[])), (0.0, 1.0, 0.1));
for (fmin, fmax) in [(Some(5.0), Some(5.0)), (Some(5.0), Some(1.0)), (Some(f64::NAN), Some(f64::INFINITY)), (Some(-1e300), None)] {
let (a, b, s) = axis_scale(0.0, 1.0, fmin, fmax, None, 10, true);
assert!(a.is_finite() && b.is_finite() && b > a && s > 0.0, "{fmin:?} {fmax:?}: {a} {b} {s}");
}
}
#[test]
fn general_labels_keep_every_digit_the_data_has() {
// #324: labels were rounded to one decimal ("100000.0" for 99999.99).
for kind in [ChartType::Column, ChartType::Pie, ChartType::Doughnut, ChartType::Line, ChartType::Scatter] {
let c = Chart::sample(kind);
let s = &c.series[0];
for (v, want) in
[(1220.82, "1220.82"), (99999.99, "99999.99"), (1500.05, "1500.05"), (1500.0, "1500"), (1234.567, "1234.567"), (999.99, "999.99")]
{
assert_eq!(c.data_label(s, v), want, "{kind:?}");
}
}
// Small ranges keep distinct value-axis ticks (0.123 used to give 0, 0.0, 0.1, 0.1…).
let c = Chart::sample(ChartType::Column);
let ticks: Vec<String> = (0..=5).map(|i| c.axis_label(false, f64::from(i) * 0.025)).collect();
assert_eq!(ticks, ["0", "0.025", "0.05", "0.075", "0.1", "0.125"]);
}
#[test]
fn axis_labels_use_the_format_and_language() {
let mut c = Chart::sample(ChartType::Column);
c.y_format = Some(r#"_-* #\ ##0\ "₽"_-;\-* #\ ##0\ "₽"_-;_-* "-"??\ "₽"_-;_-@_-"#.into());
c.lang = Some("ru-RU".into());
assert_eq!(c.axis_label(false, 800_000.0), "800\u{a0}000 ₽");
assert_eq!(c.axis_label(false, 0.0), "- ₽");
// No format: General.
assert_eq!(c.axis_label(true, 2.5), "2,5");
c.lang = None;
assert_eq!(c.axis_label(true, 2.5), "2.5");
// Data labels: the series' format, else the axis'.
c.lang = Some("ru-RU".into());
c.series[0].number_format = Some(r#"#,##0\ "₽""#.into());
assert_eq!(c.data_label(&c.series[0], 516_600_000.0), "516\u{a0}600\u{a0}000 ₽");
assert_eq!(c.data_label(&c.series[1], 0.0), "- ₽");
}
#[test]
fn full_percent_axes_count_in_percent() {
let mut c = Chart::sample(ChartType::PercentColumn);
assert_eq!(c.axis_label(false, 0.5), "50%");
c.y_format = Some("0.0%".into());
assert_eq!(c.axis_label(false, 0.5), "50.0%");
let c = Chart::sample(ChartType::Column);
assert_eq!(c.axis_label(false, 0.5), "0.5");
}
#[test]
fn combo_axis_ranges() {
// Spend in columns on the primary axis, clicks as a line on the secondary one.
let mut c = Chart::sample(ChartType::Combo);
c.series.truncate(2);
c.series[0].kind = Some(ChartType::Column);
c.series[0].values = vec![Some(200_000.0), Some(310_000.0)];
c.series[1].kind = Some(ChartType::Line);
c.series[1].values = vec![Some(6_000.0), Some(7_400.0)];
c.series[1].secondary_axis = true;
assert_eq!(c.axis_range(false), Some((0.0, 310_000.0)));
assert_eq!(c.axis_range(true), Some((0.0, 7_400.0)));
assert_eq!(c.series_kind(&c.series[1]), ChartType::Line);
// Without a secondary series there is no secondary axis; a non-combo chart never has one.
c.series[1].secondary_axis = false;
assert_eq!(c.axis_range(true), None);
let col = Chart::sample(ChartType::Column);
assert_eq!(col.axis_range(false), Some(col.value_range()));
assert_eq!(col.axis_range(true), None);
assert!(!col.on_secondary(&col.series[0]));
}
#[test]
fn sample_ranges() {
let c = Chart::sample(ChartType::StackedColumn);
let (_, hi) = c.value_range();
assert!(hi > 10.0);
assert_eq!(Chart::sample(ChartType::Pie).series.len(), 1);
}
}