Module polars_io::csv

This is supported on crate feature csv-file only.

(De)serializing CSV files

Maximal performance

Currently CsvReader::new has an extra copy. If you want optimal performance in CSV parsing/ reading, it is advised to use CsvReader::from_path.

Write a DataFrame to a csv file.

Example

use polars_core::prelude::*;
use polars_io::prelude::*;
use std::fs::File;

fn example(df: &mut DataFrame) -> Result<()> {
    let mut file = File::create("example.csv").expect("could not create file");

    CsvWriter::new(&mut file)
    .has_header(true)
    .with_delimiter(b',')
    .finish(df)
}

Read a csv file to a DataFrame

Example

use polars_core::prelude::*;
use polars_io::prelude::*;
use std::fs::File;

fn example() -> Result<DataFrame> {
    // always prefer `from_path` as that is fastest.
    CsvReader::from_path("iris_csv")?
            .infer_schema(None)
            .has_header(true)
            .finish()
}

Modules

write

APIs to write to CSV

Structs

CsvReader

Create a new DataFrame by reading a csv file.

CsvWriter

Write a DataFrame to csv.

Enums

CsvEncoding

NullValues