()
| 2 | use plotlars::{Axis, CsvReader, Legend, Plot, Rgb, ScatterPlot, Shape, Text, TickDirection}; |
| 3 | |
| 4 | fn main() { |
| 5 | let dataset = CsvReader::new("data/penguins.csv") |
| 6 | .finish() |
| 7 | .unwrap() |
| 8 | .lazy() |
| 9 | .select([ |
| 10 | col("species"), |
| 11 | col("sex").alias("gender"), |
| 12 | col("flipper_length_mm").cast(DataType::Int16), |
| 13 | col("body_mass_g").cast(DataType::Int16), |
| 14 | ]) |
| 15 | .collect() |
| 16 | .unwrap(); |
| 17 | |
| 18 | let axis = Axis::new() |
| 19 | .show_line(true) |
| 20 | .tick_direction(TickDirection::OutSide) |
| 21 | .value_thousands(true); |
| 22 | |
| 23 | ScatterPlot::builder() |
| 24 | .data(&dataset) |
| 25 | .x("body_mass_g") |
| 26 | .y("flipper_length_mm") |
| 27 | .group("species") |
| 28 | .sort_groups_by(|a, b| { |
| 29 | if a.len() == b.len() { |
| 30 | a.cmp(b) |
| 31 | } else { |
| 32 | a.len().cmp(&b.len()) |
| 33 | } |
| 34 | }) |
| 35 | .opacity(0.5) |
| 36 | .size(12) |
| 37 | .colors(vec![Rgb(178, 34, 34), Rgb(65, 105, 225), Rgb(255, 140, 0)]) |
| 38 | .shapes(vec![Shape::Circle, Shape::Square, Shape::Diamond]) |
| 39 | .plot_title(Text::from("Scatter Plot").font("Arial").size(20).x(0.065)) |
| 40 | .x_title("body mass (g)") |
| 41 | .y_title("flipper length (mm)") |
| 42 | .legend_title("species") |
| 43 | .x_axis(&axis.clone().value_range(2500.0, 6500.0)) |
| 44 | .y_axis(&axis.clone().value_range(170.0, 240.0)) |
| 45 | .legend(&Legend::new().x(0.85).y(0.15)) |
| 46 | .build() |
| 47 | .plot(); |
| 48 | } |
nothing calls this directly
no test coverage detected