Creating a LazyFrame from CSV

This is used for reading CSV files in a lazy manner. The regular method of reading files loads the data into memory immediately, which can consume unnecessary resources if the CSV file is very large. The Lazy API defers the actual reading until the collect() method of the lazy DataFrame is called. Before calling the collect() function, you can set processing methods and computation expressions.

#![allow(unused)]
fn main() {
// Requires the polars-io feature to create a lazyframe from a CSV file
use polars::prelude::*;
let lazyreader = LazyCsvReader::new("./test.csv");
let lazyreader = LazyCsvReader::new_paths(&["./test0.csv", "./test1.csv"]); // Reading multiple files.
let lf = lazyreader.finish()?;
}

LazyCsvReader API