charton 0.4.1

A high-level, layered charting system for Rust, designed for Polars-first data workflows and multi-backend rendering.
Documentation 
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use charton::prelude::*;
use polars::prelude::*;
use std::error::Error;

#[test]
fn test_tick_1() -> Result<(), Box<dyn Error>> {
    // Create a sample DataFrame with precipitation data by category
    // Similar to Altair's seattle_weather dataset
    let df = df! {
        "category" => ["A", "B", "A", "C", "B", "A", "C", "B", "A", "C"],
        "precipitation" => [0.1, 0.5, 0.2, 0.8, 0.3, 0.15, 0.6, 0.4, 0.25, 0.7],
    }?;

    // Shows distribution of precipitation within each category
    let chart = Chart::build(&df)?
        .mark_tick()?
        .encode((x("precipitation"), y("category"), color("category")))?
        .configure_tick(|m| {
            m.with_thickness(2.0)
                .with_band_size(10.0)
                .with_color("blue")
        });
    chart.save("./tests/test_tick_1.svg")?;

    Ok(())
}

#[test]
fn test_tick_2() -> Result<(), Box<dyn Error>> {
    // Create a sample DataFrame with precipitation data by category
    // Similar to Altair's seattle_weather dataset
    let df = df! {
        "category" => [0.1, 0.2, 0.1, 0.3, 0.2, 0.1, 0.3, 0.2, 0.1, 0.3],
        "precipitation" => [0.1, 0.5, 0.2, 0.8, 0.3, 0.15, 0.6, 0.4, 0.25, 0.7],
    }?;

    // Shows distribution of precipitation within each category
    let chart = Chart::build(&df)?
        .mark_tick()?
        .encode((x("precipitation"), y("category")))?
        .coord_flip();
    chart.save("./tests/test_tick_2.svg")?;

    Ok(())
}