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-rw-r--r--vendor/plotters/examples/errorbar.rs98
1 files changed, 98 insertions, 0 deletions
diff --git a/vendor/plotters/examples/errorbar.rs b/vendor/plotters/examples/errorbar.rs
new file mode 100644
index 000000000..75c5dbea0
--- /dev/null
+++ b/vendor/plotters/examples/errorbar.rs
@@ -0,0 +1,98 @@
+use plotters::prelude::*;
+
+use rand::SeedableRng;
+use rand_distr::{Distribution, Normal};
+use rand_xorshift::XorShiftRng;
+
+use itertools::Itertools;
+
+use num_traits::sign::Signed;
+
+const OUT_FILE_NAME: &'static str = "plotters-doc-data/errorbar.png";
+fn main() -> Result<(), Box<dyn std::error::Error>> {
+ let data = generate_random_data();
+ let down_sampled = down_sample(&data[..]);
+
+ let root = BitMapBackend::new(OUT_FILE_NAME, (1024, 768)).into_drawing_area();
+
+ root.fill(&WHITE)?;
+
+ let mut chart = ChartBuilder::on(&root)
+ .caption("Linear Function with Noise", ("sans-serif", 60))
+ .margin(10)
+ .set_label_area_size(LabelAreaPosition::Left, 40)
+ .set_label_area_size(LabelAreaPosition::Bottom, 40)
+ .build_cartesian_2d(-10f64..10f64, -10f64..10f64)?;
+
+ chart.configure_mesh().draw()?;
+
+ chart
+ .draw_series(LineSeries::new(data, &GREEN.mix(0.3)))?
+ .label("Raw Data")
+ .legend(|(x, y)| PathElement::new(vec![(x, y), (x + 20, y)], &GREEN));
+
+ chart.draw_series(LineSeries::new(
+ down_sampled.iter().map(|(x, _, y, _)| (*x, *y)),
+ &BLUE,
+ ))?;
+
+ chart
+ .draw_series(
+ down_sampled.iter().map(|(x, yl, ym, yh)| {
+ ErrorBar::new_vertical(*x, *yl, *ym, *yh, BLUE.filled(), 20)
+ }),
+ )?
+ .label("Down-sampled")
+ .legend(|(x, y)| PathElement::new(vec![(x, y), (x + 20, y)], &BLUE));
+
+ chart
+ .configure_series_labels()
+ .background_style(WHITE.filled())
+ .draw()?;
+
+ // To avoid the IO failure being ignored silently, we manually call the present function
+ root.present().expect("Unable to write result to file, please make sure 'plotters-doc-data' dir exists under current dir");
+ println!("Result has been saved to {}", OUT_FILE_NAME);
+
+ Ok(())
+}
+
+fn generate_random_data() -> Vec<(f64, f64)> {
+ let norm_dist = Normal::new(0.0, 1.0).unwrap();
+ let mut x_rand = XorShiftRng::from_seed(*b"MyFragileSeed123");
+ let x_iter = norm_dist.sample_iter(&mut x_rand);
+ x_iter
+ .take(20000)
+ .filter(|x| x.abs() <= 4.0)
+ .zip(-10000..10000)
+ .map(|(yn, x)| {
+ (
+ x as f64 / 1000.0,
+ x as f64 / 1000.0 + yn * x as f64 / 10000.0,
+ )
+ })
+ .collect()
+}
+
+fn down_sample(data: &[(f64, f64)]) -> Vec<(f64, f64, f64, f64)> {
+ let down_sampled: Vec<_> = data
+ .iter()
+ .group_by(|x| (x.0 * 1.0).round() / 1.0)
+ .into_iter()
+ .map(|(x, g)| {
+ let mut g: Vec<_> = g.map(|(_, y)| *y).collect();
+ g.sort_by(|a, b| a.partial_cmp(b).unwrap());
+ (
+ x,
+ g[0],
+ g.iter().sum::<f64>() / g.len() as f64,
+ g[g.len() - 1],
+ )
+ })
+ .collect();
+ down_sampled
+}
+#[test]
+fn entry_point() {
+ main().unwrap()
+}