Type Alias Float32Chunked 

pub type Float32Chunked = ChunkedArray<Float32Type>;

Aliased Type

pub struct Float32Chunked { /* private fields */ }

Implementations

impl Float32Chunked

pub fn apply_as_ints<F>(&self, f: F) -> Series

where F: Fn(&Series) -> Series,

Trait Implementations

impl ChunkQuantile<f32> for Float32Chunked

fn quantile( &self, quantile: f64, method: QuantileMethod, ) -> PolarsResult<Option<f32>>

Aggregate a given quantile of the ChunkedArray. Returns None if the array is empty or only contains null values.

fn quantiles( &self, quantiles: &[f64], method: QuantileMethod, ) -> PolarsResult<Vec<Option<f32>>>

Aggregate a given set of quantiles of the ChunkedArray. Returns None if the array is empty or only contains null values.

fn median(&self) -> Option<f32>

Returns the mean value in the array. Returns None if the array is empty or only contains null values.

impl QuantileAggSeries for Float32Chunked

fn quantile_reduce( &self, quantile: f64, method: QuantileMethod, ) -> PolarsResult<Scalar>

Get the quantile of the ChunkedArray as a new Series of length 1.

fn quantiles_reduce( &self, quantiles: &[f64], method: QuantileMethod, ) -> PolarsResult<Scalar>

Get the quantiles of the ChunkedArray as a new Series of same length as quantiles

fn median_reduce(&self) -> Scalar

Get the median of the ChunkedArray as a new Series of length 1.

impl VarAggSeries for Float32Chunked

fn var_reduce(&self, ddof: u8) -> Scalar

Get the variance of the ChunkedArray as a new Series of length 1.

fn std_reduce(&self, ddof: u8) -> Scalar

Get the standard deviation of the ChunkedArray as a new Series of length 1.

impl VecHash for Float32Chunked

fn vec_hash( &self, random_state: PlSeedableRandomStateQuality, buf: &mut Vec<u64>, ) -> PolarsResult<()>

Compute the hash for all values in the array.

fn vec_hash_combine( &self, random_state: PlSeedableRandomStateQuality, hashes: &mut [u64], ) -> PolarsResult<()>