polars_core/series/implementations/
list.rsuse self::sort::arg_sort_row_fmt;
use super::*;
use crate::chunked_array::comparison::*;
#[cfg(feature = "algorithm_group_by")]
use crate::frame::group_by::*;
use crate::prelude::*;
impl private::PrivateSeries for SeriesWrap<ListChunked> {
fn compute_len(&mut self) {
self.0.compute_len()
}
fn _field(&self) -> Cow<Field> {
Cow::Borrowed(self.0.ref_field())
}
fn _dtype(&self) -> &DataType {
self.0.ref_field().dtype()
}
fn _get_flags(&self) -> StatisticsFlags {
self.0.get_flags()
}
fn _set_flags(&mut self, flags: StatisticsFlags) {
self.0.set_flags(flags)
}
unsafe fn equal_element(&self, idx_self: usize, idx_other: usize, other: &Series) -> bool {
self.0.equal_element(idx_self, idx_other, other)
}
#[cfg(feature = "zip_with")]
fn zip_with_same_type(&self, mask: &BooleanChunked, other: &Series) -> PolarsResult<Series> {
ChunkZip::zip_with(&self.0, mask, other.as_ref().as_ref()).map(|ca| ca.into_series())
}
#[cfg(feature = "algorithm_group_by")]
unsafe fn agg_list(&self, groups: &GroupsProxy) -> Series {
self.0.agg_list(groups)
}
#[cfg(feature = "algorithm_group_by")]
fn group_tuples(&self, multithreaded: bool, sorted: bool) -> PolarsResult<GroupsProxy> {
IntoGroupsProxy::group_tuples(&self.0, multithreaded, sorted)
}
fn into_total_eq_inner<'a>(&'a self) -> Box<dyn TotalEqInner + 'a> {
(&self.0).into_total_eq_inner()
}
fn into_total_ord_inner<'a>(&'a self) -> Box<dyn TotalOrdInner + 'a> {
invalid_operation_panic!(into_total_ord_inner, self)
}
fn add_to(&self, rhs: &Series) -> PolarsResult<Series> {
self.0.add_to(rhs)
}
fn subtract(&self, rhs: &Series) -> PolarsResult<Series> {
self.0.subtract(rhs)
}
fn multiply(&self, rhs: &Series) -> PolarsResult<Series> {
self.0.multiply(rhs)
}
fn divide(&self, rhs: &Series) -> PolarsResult<Series> {
self.0.divide(rhs)
}
fn remainder(&self, rhs: &Series) -> PolarsResult<Series> {
self.0.remainder(rhs)
}
}
impl SeriesTrait for SeriesWrap<ListChunked> {
fn rename(&mut self, name: PlSmallStr) {
self.0.rename(name);
}
fn chunk_lengths(&self) -> ChunkLenIter {
self.0.chunk_lengths()
}
fn name(&self) -> &PlSmallStr {
self.0.name()
}
fn chunks(&self) -> &Vec<ArrayRef> {
self.0.chunks()
}
unsafe fn chunks_mut(&mut self) -> &mut Vec<ArrayRef> {
self.0.chunks_mut()
}
fn shrink_to_fit(&mut self) {
self.0.shrink_to_fit()
}
fn sum_reduce(&self) -> PolarsResult<Scalar> {
polars_bail!(
op = "`sum`",
self.dtype(),
hint = "you may mean to call `concat_list`"
);
}
fn arg_sort(&self, options: SortOptions) -> IdxCa {
let slf = (*self).clone();
let slf = slf.into_column();
arg_sort_row_fmt(
&[slf],
options.descending,
options.nulls_last,
options.multithreaded,
)
.unwrap()
}
fn sort_with(&self, options: SortOptions) -> PolarsResult<Series> {
let idxs = self.arg_sort(options);
Ok(unsafe { self.take_unchecked(&idxs) })
}
fn slice(&self, offset: i64, length: usize) -> Series {
self.0.slice(offset, length).into_series()
}
fn split_at(&self, offset: i64) -> (Series, Series) {
let (a, b) = self.0.split_at(offset);
(a.into_series(), b.into_series())
}
fn append(&mut self, other: &Series) -> PolarsResult<()> {
polars_ensure!(self.0.dtype() == other.dtype(), append);
self.0.append(other.as_ref().as_ref())
}
fn extend(&mut self, other: &Series) -> PolarsResult<()> {
polars_ensure!(self.0.dtype() == other.dtype(), extend);
self.0.extend(other.as_ref().as_ref())
}
fn filter(&self, filter: &BooleanChunked) -> PolarsResult<Series> {
ChunkFilter::filter(&self.0, filter).map(|ca| ca.into_series())
}
fn take(&self, indices: &IdxCa) -> PolarsResult<Series> {
Ok(self.0.take(indices)?.into_series())
}
unsafe fn take_unchecked(&self, indices: &IdxCa) -> Series {
self.0.take_unchecked(indices).into_series()
}
fn take_slice(&self, indices: &[IdxSize]) -> PolarsResult<Series> {
Ok(self.0.take(indices)?.into_series())
}
unsafe fn take_slice_unchecked(&self, indices: &[IdxSize]) -> Series {
self.0.take_unchecked(indices).into_series()
}
fn len(&self) -> usize {
self.0.len()
}
fn rechunk(&self) -> Series {
self.0.rechunk().into_series()
}
fn new_from_index(&self, index: usize, length: usize) -> Series {
ChunkExpandAtIndex::new_from_index(&self.0, index, length).into_series()
}
fn cast(&self, dtype: &DataType, cast_options: CastOptions) -> PolarsResult<Series> {
self.0.cast_with_options(dtype, cast_options)
}
#[inline]
unsafe fn get_unchecked(&self, index: usize) -> AnyValue {
self.0.get_any_value_unchecked(index)
}
fn null_count(&self) -> usize {
self.0.null_count()
}
fn has_nulls(&self) -> bool {
self.0.has_nulls()
}
#[cfg(feature = "algorithm_group_by")]
fn unique(&self) -> PolarsResult<Series> {
if !self.inner_dtype().is_primitive_numeric() {
polars_bail!(opq = unique, self.dtype());
}
if self.len() < 2 {
return Ok(self.0.clone().into_series());
}
let main_thread = POOL.current_thread_index().is_none();
let groups = self.group_tuples(main_thread, false);
Ok(unsafe { self.0.clone().into_series().agg_first(&groups?) })
}
#[cfg(feature = "algorithm_group_by")]
fn n_unique(&self) -> PolarsResult<usize> {
if !self.inner_dtype().is_primitive_numeric() {
polars_bail!(opq = n_unique, self.dtype());
}
match self.len() {
0 => Ok(0),
1 => Ok(1),
_ => {
let main_thread = POOL.current_thread_index().is_none();
let groups = self.group_tuples(main_thread, false)?;
Ok(groups.len())
},
}
}
#[cfg(feature = "algorithm_group_by")]
fn arg_unique(&self) -> PolarsResult<IdxCa> {
if !self.inner_dtype().is_primitive_numeric() {
polars_bail!(opq = arg_unique, self.dtype());
}
if self.len() == 1 {
return Ok(IdxCa::new_vec(self.name().clone(), vec![0 as IdxSize]));
}
let main_thread = POOL.current_thread_index().is_none();
let groups = self.group_tuples(main_thread, true)?;
let first = groups.take_group_firsts();
Ok(IdxCa::from_vec(self.name().clone(), first))
}
fn is_null(&self) -> BooleanChunked {
self.0.is_null()
}
fn is_not_null(&self) -> BooleanChunked {
self.0.is_not_null()
}
fn reverse(&self) -> Series {
ChunkReverse::reverse(&self.0).into_series()
}
fn as_single_ptr(&mut self) -> PolarsResult<usize> {
self.0.as_single_ptr()
}
fn shift(&self, periods: i64) -> Series {
ChunkShift::shift(&self.0, periods).into_series()
}
fn clone_inner(&self) -> Arc<dyn SeriesTrait> {
Arc::new(SeriesWrap(Clone::clone(&self.0)))
}
fn as_any(&self) -> &dyn Any {
&self.0
}
fn as_any_mut(&mut self) -> &mut dyn Any {
&mut self.0
}
}