rustframe 0.0.1-a.20250805

A simple dataframe and math toolkit
Documentation
# Introduction

🐙 [GitHub]https://github.com/Magnus167/rustframe | 📚 [Docs]https://magnus167.github.io/rustframe/ | 📖 [User Guide]https://magnus167.github.io/rustframe/user-guide/ | 🦀 [Crates.io]https://crates.io/crates/rustframe | 🔖 [docs.rs]https://docs.rs/rustframe/latest/rustframe/

Welcome to the **Rustframe User Guide**. Rustframe is a lightweight dataframe
and math toolkit for Rust written in 100% safe Rust. It focuses on keeping the
API approachable while offering handy features for small analytical or
educational projects.

Rustframe bundles:

- column‑labelled frames built on a fast column‑major matrix
- familiar element‑wise math and aggregation routines
- a growing `compute` module for statistics and machine learning
- utilities for dates and random numbers

```rust
# extern crate rustframe;
use rustframe::{frame::Frame, matrix::{Matrix, SeriesOps}};

let data = Matrix::from_cols(vec![vec![1.0, 2.0], vec![3.0, 4.0]]);
let frame = Frame::new(data, vec!["A", "B"], None);

// Perform column wise aggregation
assert_eq!(frame.sum_vertical(), vec![3.0, 7.0]);
```

## Resources

- [GitHub repository]https://github.com/Magnus167/rustframe
- [Crates.io]https://crates.io/crates/rustframe & [API docs]https://docs.rs/rustframe
- [Code coverage]https://codecov.io/gh/Magnus167/rustframe

This guide walks through the main building blocks of the library. Each chapter
contains runnable snippets so you can follow along:

1. [Data manipulation]./data-manipulation.md for loading and transforming data
2. [Compute features]./compute.md for statistics and analytics
3. [Machine learning]./machine-learning.md for predictive models
4. [Utilities]./utilities.md for supporting helpers and upcoming modules