charton 0.4.1

A high-level, layered charting system for Rust, designed for Polars-first data workflows and multi-backend rendering.
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29

use charton::prelude::*;
use polars::prelude::*;
use std::error::Error;

fn main() -> Result<(), Box<dyn Error>> {
    let df = CsvReadOptions::default()
        .with_has_header(true)
        .try_into_reader_with_file_path(Some("./datasets/iris.csv".into()))?
        .finish()?;

    // Create a chart with window transform
    Chart::build(&df.select(["species", "sepal_length"])?)?
        .transform_window(
            WindowTransform::new(WindowFieldDef::new(
                "sepal_length",
                WindowOnlyOp::CumeDist,
                "ecdf", // This will be the output column name
            ))
            .with_groupby("species")
            .with_normalize(false),
        )?
        .mark_line()?
        .configure_line(|l| l.with_interpolation("step")) // Add step interpolation
        .encode((x("sepal_length"), y("ecdf"), color("species")))?
        .with_title("Empirical Cumulative Distribution")
        .save("docs/src/images/cumulative_frequency.svg")?;

    Ok(())
}