polars 0.53.0

DataFrame library based on Apache Arrow
Documentation 
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use polars::prelude::*;

#[test]
fn test_to_list_logical() -> PolarsResult<()> {
    let ca = StringChunked::new("a".into(), &["2021-01-01", "2021-01-02", "2021-01-03"]);
    let out = ca.as_date(None, false)?.into_series();
    let out = out.implode().unwrap();
    assert_eq!(out.len(), 1);
    let s = format!("{out:?}");
    // check if dtype is maintained all the way to formatting
    assert!(s.contains("[2021-01-01, 2021-01-02, 2021-01-03]"));

    let expl = out
        .explode(ExplodeOptions {
            empty_as_null: true,
            keep_nulls: true,
        })
        .unwrap();
    assert_eq!(expl.dtype(), &DataType::Date);
    Ok(())
}