polars_core/series/implementations/
string.rs

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1use super::*;
2use crate::chunked_array::comparison::*;
3#[cfg(feature = "algorithm_group_by")]
4use crate::frame::group_by::*;
5use crate::prelude::*;
6
7impl private::PrivateSeries for SeriesWrap<StringChunked> {
8    fn compute_len(&mut self) {
9        self.0.compute_len()
10    }
11    fn _field(&self) -> Cow<Field> {
12        Cow::Borrowed(self.0.ref_field())
13    }
14    fn _dtype(&self) -> &DataType {
15        self.0.ref_field().dtype()
16    }
17
18    fn _set_flags(&mut self, flags: StatisticsFlags) {
19        self.0.set_flags(flags)
20    }
21    fn _get_flags(&self) -> StatisticsFlags {
22        self.0.get_flags()
23    }
24    unsafe fn equal_element(&self, idx_self: usize, idx_other: usize, other: &Series) -> bool {
25        self.0.equal_element(idx_self, idx_other, other)
26    }
27
28    #[cfg(feature = "zip_with")]
29    fn zip_with_same_type(&self, mask: &BooleanChunked, other: &Series) -> PolarsResult<Series> {
30        ChunkZip::zip_with(&self.0, mask, other.as_ref().as_ref()).map(|ca| ca.into_series())
31    }
32    fn into_total_eq_inner<'a>(&'a self) -> Box<dyn TotalEqInner + 'a> {
33        (&self.0).into_total_eq_inner()
34    }
35    fn into_total_ord_inner<'a>(&'a self) -> Box<dyn TotalOrdInner + 'a> {
36        (&self.0).into_total_ord_inner()
37    }
38
39    fn vec_hash(
40        &self,
41        random_state: PlSeedableRandomStateQuality,
42        buf: &mut Vec<u64>,
43    ) -> PolarsResult<()> {
44        self.0.vec_hash(random_state, buf)?;
45        Ok(())
46    }
47
48    fn vec_hash_combine(
49        &self,
50        build_hasher: PlSeedableRandomStateQuality,
51        hashes: &mut [u64],
52    ) -> PolarsResult<()> {
53        self.0.vec_hash_combine(build_hasher, hashes)?;
54        Ok(())
55    }
56
57    #[cfg(feature = "algorithm_group_by")]
58    unsafe fn agg_list(&self, groups: &GroupsType) -> Series {
59        self.0.agg_list(groups)
60    }
61
62    #[cfg(feature = "algorithm_group_by")]
63    unsafe fn agg_min(&self, groups: &GroupsType) -> Series {
64        self.0.agg_min(groups)
65    }
66
67    #[cfg(feature = "algorithm_group_by")]
68    unsafe fn agg_max(&self, groups: &GroupsType) -> Series {
69        self.0.agg_max(groups)
70    }
71
72    fn subtract(&self, rhs: &Series) -> PolarsResult<Series> {
73        NumOpsDispatch::subtract(&self.0, rhs)
74    }
75    fn add_to(&self, rhs: &Series) -> PolarsResult<Series> {
76        NumOpsDispatch::add_to(&self.0, rhs)
77    }
78    fn multiply(&self, rhs: &Series) -> PolarsResult<Series> {
79        NumOpsDispatch::multiply(&self.0, rhs)
80    }
81    fn divide(&self, rhs: &Series) -> PolarsResult<Series> {
82        NumOpsDispatch::divide(&self.0, rhs)
83    }
84    fn remainder(&self, rhs: &Series) -> PolarsResult<Series> {
85        NumOpsDispatch::remainder(&self.0, rhs)
86    }
87    #[cfg(feature = "algorithm_group_by")]
88    fn group_tuples(&self, multithreaded: bool, sorted: bool) -> PolarsResult<GroupsType> {
89        IntoGroupsType::group_tuples(&self.0, multithreaded, sorted)
90    }
91
92    fn arg_sort_multiple(
93        &self,
94        by: &[Column],
95        options: &SortMultipleOptions,
96    ) -> PolarsResult<IdxCa> {
97        self.0.arg_sort_multiple(by, options)
98    }
99}
100
101impl SeriesTrait for SeriesWrap<StringChunked> {
102    fn rename(&mut self, name: PlSmallStr) {
103        self.0.rename(name);
104    }
105
106    fn chunk_lengths(&self) -> ChunkLenIter {
107        self.0.chunk_lengths()
108    }
109    fn name(&self) -> &PlSmallStr {
110        self.0.name()
111    }
112
113    fn chunks(&self) -> &Vec<ArrayRef> {
114        self.0.chunks()
115    }
116    unsafe fn chunks_mut(&mut self) -> &mut Vec<ArrayRef> {
117        self.0.chunks_mut()
118    }
119    fn shrink_to_fit(&mut self) {
120        self.0.shrink_to_fit()
121    }
122
123    fn slice(&self, offset: i64, length: usize) -> Series {
124        self.0.slice(offset, length).into_series()
125    }
126    fn split_at(&self, offset: i64) -> (Series, Series) {
127        let (a, b) = self.0.split_at(offset);
128        (a.into_series(), b.into_series())
129    }
130
131    fn append(&mut self, other: &Series) -> PolarsResult<()> {
132        polars_ensure!(self.0.dtype() == other.dtype(), append);
133        // todo! add object
134        self.0.append(other.as_ref().as_ref())?;
135        Ok(())
136    }
137    fn append_owned(&mut self, other: Series) -> PolarsResult<()> {
138        polars_ensure!(self.0.dtype() == other.dtype(), append);
139        // todo! add object
140        self.0.append_owned(other.take_inner())
141    }
142
143    fn extend(&mut self, other: &Series) -> PolarsResult<()> {
144        polars_ensure!(
145            self.0.dtype() == other.dtype(),
146            SchemaMismatch: "cannot extend Series: data types don't match",
147        );
148        self.0.extend(other.as_ref().as_ref())?;
149        Ok(())
150    }
151
152    fn filter(&self, filter: &BooleanChunked) -> PolarsResult<Series> {
153        ChunkFilter::filter(&self.0, filter).map(|ca| ca.into_series())
154    }
155
156    fn take(&self, indices: &IdxCa) -> PolarsResult<Series> {
157        Ok(self.0.take(indices)?.into_series())
158    }
159
160    unsafe fn take_unchecked(&self, indices: &IdxCa) -> Series {
161        self.0.take_unchecked(indices).into_series()
162    }
163
164    fn take_slice(&self, indices: &[IdxSize]) -> PolarsResult<Series> {
165        Ok(self.0.take(indices)?.into_series())
166    }
167
168    unsafe fn take_slice_unchecked(&self, indices: &[IdxSize]) -> Series {
169        self.0.take_unchecked(indices).into_series()
170    }
171
172    fn len(&self) -> usize {
173        self.0.len()
174    }
175
176    fn rechunk(&self) -> Series {
177        self.0.rechunk().into_owned().into_series()
178    }
179
180    fn new_from_index(&self, index: usize, length: usize) -> Series {
181        ChunkExpandAtIndex::new_from_index(&self.0, index, length).into_series()
182    }
183
184    fn cast(&self, dtype: &DataType, cast_options: CastOptions) -> PolarsResult<Series> {
185        self.0.cast_with_options(dtype, cast_options)
186    }
187
188    #[inline]
189    unsafe fn get_unchecked(&self, index: usize) -> AnyValue {
190        self.0.get_any_value_unchecked(index)
191    }
192
193    fn sort_with(&self, options: SortOptions) -> PolarsResult<Series> {
194        Ok(ChunkSort::sort_with(&self.0, options).into_series())
195    }
196
197    fn arg_sort(&self, options: SortOptions) -> IdxCa {
198        ChunkSort::arg_sort(&self.0, options)
199    }
200
201    fn null_count(&self) -> usize {
202        self.0.null_count()
203    }
204
205    fn has_nulls(&self) -> bool {
206        self.0.has_nulls()
207    }
208
209    #[cfg(feature = "algorithm_group_by")]
210    fn unique(&self) -> PolarsResult<Series> {
211        ChunkUnique::unique(&self.0).map(|ca| ca.into_series())
212    }
213
214    #[cfg(feature = "algorithm_group_by")]
215    fn n_unique(&self) -> PolarsResult<usize> {
216        ChunkUnique::n_unique(&self.0)
217    }
218
219    #[cfg(feature = "algorithm_group_by")]
220    fn arg_unique(&self) -> PolarsResult<IdxCa> {
221        ChunkUnique::arg_unique(&self.0)
222    }
223
224    fn is_null(&self) -> BooleanChunked {
225        self.0.is_null()
226    }
227
228    fn is_not_null(&self) -> BooleanChunked {
229        self.0.is_not_null()
230    }
231
232    fn reverse(&self) -> Series {
233        ChunkReverse::reverse(&self.0).into_series()
234    }
235
236    fn as_single_ptr(&mut self) -> PolarsResult<usize> {
237        self.0.as_single_ptr()
238    }
239
240    fn shift(&self, periods: i64) -> Series {
241        ChunkShift::shift(&self.0, periods).into_series()
242    }
243
244    fn sum_reduce(&self) -> PolarsResult<Scalar> {
245        Err(polars_err!(
246            op = "`sum`",
247            DataType::String,
248            hint = "you may mean to call `str.join` or `list.join`"
249        ))
250    }
251    fn max_reduce(&self) -> PolarsResult<Scalar> {
252        Ok(ChunkAggSeries::max_reduce(&self.0))
253    }
254    fn min_reduce(&self) -> PolarsResult<Scalar> {
255        Ok(ChunkAggSeries::min_reduce(&self.0))
256    }
257
258    #[cfg(feature = "approx_unique")]
259    fn approx_n_unique(&self) -> PolarsResult<IdxSize> {
260        Ok(ChunkApproxNUnique::approx_n_unique(&self.0))
261    }
262
263    fn clone_inner(&self) -> Arc<dyn SeriesTrait> {
264        Arc::new(SeriesWrap(Clone::clone(&self.0)))
265    }
266
267    fn as_any(&self) -> &dyn Any {
268        &self.0
269    }
270
271    fn as_any_mut(&mut self) -> &mut dyn Any {
272        &mut self.0
273    }
274
275    fn as_phys_any(&self) -> &dyn Any {
276        &self.0
277    }
278
279    fn as_arc_any(self: Arc<Self>) -> Arc<dyn Any + Send + Sync> {
280        self as _
281    }
282}
polars_core/series/implementations/string.rs

polars_core/series/implementations/
string.rs
