Combee

Combee is a strong typed data analysis library written in pure Rust inspired by pandas (python).

Installation

Run in a Rust project directory:

bash cargo add combee

Examples

1) Check the notebook using evcxr_jupyter on notebooks/analysis.ipynb to an example of analysis of dataset.

2) Below an example of loading a CSV file, filtering the dataset, and applying a function to each row:

(dataset.csv) csv name,age Daniel,26 Sergio,30 Leticia,22

(main.rs) ```rust use serde::{Serialize, Deserialize}; use combee::{read_csv, dataframe::DataFrame};

[derive(Clone, Deserialize, Serialize)]

struct Data { name: String, age: u32 }

let df = readcsv::(String::from("../tests/fixtures/basic.csv")).unwrap(); let dffiltered: DataFrame = df.filter(|row| row.age < 27); let dfmessage: DataFrame = dffiltered.apply(|row| format!("Hello {} with {} years!", row.name, row.age)); let messages = df_message.take(2);

println!("{}", messages[0]); println!("{}", messages[1]); ```

2) An example of groupby with aggregation

(main.rs) ```rust use serde::{Serialize, Deserialize}; use combee::{read_csv, functions::{mean, sum, count, all}};

[derive(Clone, Deserialize, Serialize)]

struct Data { name: String, age: u32 }

fn main() { let df = read_csv::(String::from("dataset.csv")).unwrap();

let stats = df.groupby(all).agg(|_, g|
    (count(g), mean(g, |x| x.age), sum(g, |x| x.age))
).head(1);

println("{:?}", stats);

} ```

Acknowledgments

Daniel Santana: Made with Love 💗.\ ali5h: Code to deserialize parquet row link.