This is my mock up of DataFrames implemented in Rust, using Apache Arrow as backend.
- cast
- take by index/ boolean mask
- Rust iterators
- append
- aggregation: min, max, sum
- arithmetic
- comparison
- find
- sorting (can be done w/ iterators)
- selection
- join: inner, left
- group by
- concat (horizontal)
- read csv
- write csv
- write json
- read json
- sorting
- null
- boolean
- u32
- i32
- i64
- f32
- f64
- utf-8
- date
- timestamp
let s0 = Series::init("days", [0, 1, 2, 3, 4].as_ref());
let s1 = Series::init("temp", [22.1, 19.9, 7., 2., 3.].as_ref());
let temp = DataFrame::new_from_columns(vec![s0, s1]).unwrap();
let s0 = Series::init("days", [1, 2].as_ref());
let s1 = Series::init("rain", [0.1, 0.2].as_ref());
let rain = DataFrame::new_from_columns(vec![s0, s1]).unwrap();
let joined = temp.left_join(&rain, "days", "days");
println!("{}", joined.unwrap()) days temp rain
i32 f64 f64
--- --- ---
0 22.1 null
1 19.9 0.1
2 7 0.2
3 2 null
4 3 nul