polars_io::csv::read

Struct CsvReader

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pub struct CsvReader<R>
where R: MmapBytesReader,
{ /* private fields */ }
Available on crate features csv or json only.
Expand description

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§

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impl<R> CsvReader<R>
where R: MmapBytesReader,

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

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impl<R: MmapBytesReader> CsvReader<R>

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pub fn batched_borrowed(&mut self) -> PolarsResult<BatchedCsvReader<'_>>

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impl CsvReader<Box<dyn MmapBytesReader>>

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pub fn batched( self, schema: Option<SchemaRef>, ) -> PolarsResult<OwnedBatchedCsvReader>

Trait Implementations§

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impl<R> SerReader<R> for CsvReader<R>
where R: MmapBytesReader,

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fn new(reader: R) -> Self

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.

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fn finish(self) -> PolarsResult<DataFrame>

Read the file and create the DataFrame.

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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.

Auto Trait Implementations§

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impl<R> Freeze for CsvReader<R>
where R: Freeze,

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impl<R> !RefUnwindSafe for CsvReader<R>

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impl<R> Send for CsvReader<R>

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impl<R> Sync for CsvReader<R>

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impl<R> Unpin for CsvReader<R>
where R: Unpin,

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impl<R> !UnwindSafe for CsvReader<R>

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impl<T> Any for T
where T: 'static + ?Sized,

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Gets the TypeId of self. Read more
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where T: ?Sized,

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Immutably borrows from an owned value. Read more
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impl<T> BorrowMut<T> for T
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