Crate csv_polars_cleaner

csv_polars_cleaner

A robust Rust library for extracting and cleaning tabular data from messy CSV files using the Polars DataFrame engine.

Features

• Automatically skips metadata, comments, and blank lines.
• Detects the real data region using the mode of column counts.
• Returns a Polars DataFrame for further analysis.

Example

use csv_polars_cleaner::parse_file;
// This example will fail unless "data.csv" exists.
let df = parse_file("data.csv", b',');
match df {
    Ok(df) => println!("Headers: {:?}", df.get_column_names()),
    Err(e) => eprintln!("Failed to parse: {e}"),
}

Re-exports

pub use parser::parse_boxed_data;

Modules

detector

parser

preprocessor

Functions

parse_file

Load and parse a single malformed CSV file.

parse_folder

Parse all CSV files in a folder into a vector of Polars DataFrames.