Struct polars::prelude::CsvReader

pub struct CsvReader<R>
where
    R: MmapBytesReader,
{ /* private fields */ }

Available on crate feature polars-io only.

Create a new DataFrame by reading a csv file.

Example

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

fn example() -> PolarsResult<DataFrame> {
    CsvReadOptions::default()
            .with_has_header(true)
            .try_into_reader_with_file_path(Some("iris.csv".into()))?
            .finish()
}

Implementations

impl<R> CsvReader<R>

where R: MmapBytesReader,

pub fn _with_predicate( self, predicate: Option<Arc<dyn PhysicalIoExpr>> ) -> CsvReader<R>

impl<R> CsvReader<R>

where R: MmapBytesReader,

pub fn batched_borrowed(&mut self) -> Result<BatchedCsvReader<'_>, PolarsError>

impl CsvReader<Box<dyn MmapBytesReader>>

pub fn batched( self, schema: Option<Arc<Schema>> ) -> Result<OwnedBatchedCsvReader, PolarsError>

Trait Implementations

impl<R> SerReader<R> for CsvReader<R>

where R: MmapBytesReader,

fn new(reader: R) -> CsvReader<R>

Create a new CsvReader from a file/stream using default read options. To use non-default read options, first construct CsvReadOptions and then use any of the (try)_into_ methods.

fn finish(self) -> Result<DataFrame, PolarsError>

Read the file and create the DataFrame.

fn set_rechunk(self, _rechunk: bool) -> Self

where Self: Sized,

Make sure that all columns are contiguous in memory by aggregating the chunks into a single array.