Lpje bSSKJr SSKJrJr SSKJr \(aSSKJr "SS\\5rg)) annotations) TYPE_CHECKINGGeneric)SeriesT)NonNestedLiteralc\rSrSrSSjrSSjrSS.SSjjrSSjrSSjrSS jr SS jr SS jr SS jr SS jr SSS.SSjjrSrg)SeriesListNamespace cXlg)N_narwhals_series)selfseriess P/var/www/html/pdf-tiff/venv/lib/python3.13/site-packages/narwhals/series_list.py__init__SeriesListNamespace.__init__ s &cURRURRRR 55$)aReturn the number of elements in each list. Null values count towards the total. Examples: >>> import pyarrow as pa >>> import narwhals as nw >>> s_native = pa.chunked_array([[[1, 2], [3, 4, None], None, []]]) >>> s = nw.from_native(s_native, series_only=True) >>> s.list.len().to_native() # doctest: +ELLIPSIS [ [ 2, 3, null, 0 ] ] )r _with_compliant_compliant_serieslistlenrs rrSeriesListNamespace.lens;*$$44  ! ! 3 3 8 8 < < >  rFmaintain_ordercURRURRRR US95$)aGet the unique/distinct values in the list. Null values are included in the result. Arguments: maintain_order: Keep the same order as the input data. Notes: `maintain_order=True` is not supported by all backends: backends whose native distinct operation does not preserve order (e.g. DuckDB, Ibis) raise `NotImplementedError`. Examples: >>> import polars as pl >>> import narwhals as nw >>> s_native = pl.Series([[1, 1, 2], [3, 3, None], None, []]) >>> s = nw.from_native(s_native, series_only=True) >>> s.list.unique().to_native() # doctest: +SKIP shape: (4,) Series: '' [list[i64]] [ [1, 2] [null, 3] null [] ] r)r rrrunique)rrs rrSeriesListNamespace.unique(sF8$$44  ! ! 3 3 8 8 ? ?- @   rcURRURRRR U55$)aCheck if sublists contain the given item. Arguments: item: Item that will be checked for membership. Examples: >>> import polars as pl >>> import narwhals as nw >>> s_native = pl.Series([[1, 2], None, []]) >>> s = nw.from_native(s_native, series_only=True) >>> s.list.contains(1).to_native() # doctest: +NORMALIZE_WHITESPACE shape: (3,) Series: '' [bool] [ true null false ] )r rrrcontains)ritems rr!SeriesListNamespace.containsJs=($$44  ! ! 3 3 8 8 A A$ G  rc2[U[5(d$S[U5RS3n[ U5eUS:aSUS3n[ U5eUR RUR RRRU55$)aReturn the value by index in each list. Negative indices are not accepted. Examples: >>> import polars as pl >>> import narwhals as nw >>> s_native = pl.Series([[1, 2], [3, 4, None], [None, 5]]) >>> s = nw.from_native(s_native, series_only=True) >>> s.list.get(1).to_native() # doctest: +NORMALIZE_WHITESPACE shape: (3,) Series: '' [i64] [ 2 4 5 ] z'Index must be of type 'int'. Got type 'z ' instead.rzIndex z8 is out of bounds: should be greater than or equal to 0.) isinstanceinttype__name__ TypeError ValueErrorr rrrget)rindexmsgs rr+SeriesListNamespace.getbs&%%%9$u+:N:N9OzZ C. 195'!YZCS/ !$$44  ! ! 3 3 8 8 < >> import polars as pl >>> import narwhals as nw >>> s_native = pl.Series([[1], [3, 4, None]]) >>> s = nw.from_native(s_native, series_only=True) >>> s.list.min().to_native() # doctest: +NORMALIZE_WHITESPACE shape: (2,) Series: '' [i64] [ 1 3 ] )r rrrminrs rr0SeriesListNamespace.min; $$44  ! ! 3 3 8 8 < < >  rcURRURRRR 55$)a~Compute the max value of the lists in the array. Examples: >>> import pyarrow as pa >>> import narwhals as nw >>> s_native = pa.chunked_array([[[1], [3, 4, None]]]) >>> s = nw.from_native(s_native, series_only=True) >>> s.list.max().to_native() # doctest: +ELLIPSIS [ [ 1, 4 ] ] )r rrrmaxrs rr4SeriesListNamespace.maxs;"$$44  ! ! 3 3 8 8 < < >  rcURRURRRR 55$)auCompute the mean value of the lists in the array. Examples: >>> import polars as pl >>> import narwhals as nw >>> s_native = pl.Series([[1], [3, 4, None]]) >>> s = nw.from_native(s_native, series_only=True) >>> s.list.mean().to_native() # doctest: +NORMALIZE_WHITESPACE shape: (2,) Series: '' [f64] [ 1.0 3.5 ] )r rrrmeanrs rr7SeriesListNamespace.means; $$44  ! ! 3 3 8 8 = = ?  rcURRURRRR 55$)aCompute the median value of the lists in the array. Examples: >>> import pyarrow as pa >>> import narwhals as nw >>> s_native = pa.chunked_array([[[1], [3, 4, None]]]) >>> s = nw.from_native(s_native, series_only=True) >>> s.list.median().to_native() # doctest: +ELLIPSIS [ [ 1, 3 ] ] )r rrrmedianrs rr:SeriesListNamespace.medians;"$$44  ! ! 3 3 8 8 ? ? A  rcURRURRRR 55$)aoCompute the sum value of the lists in the array. Examples: >>> import polars as pl >>> import narwhals as nw >>> s_native = pl.Series([[1], [3, 4, None]]) >>> s = nw.from_native(s_native, series_only=True) >>> s.list.sum().to_native() # doctest: +NORMALIZE_WHITESPACE shape: (2,) Series: '' [i64] [ 1 7 ] )r rrrsumrs rr=SeriesListNamespace.sumr2r descending nulls_lastcURRURRRR XS95$)aSort the lists of the series. Arguments: descending: Sort in descending order. nulls_last: Place null values last. Examples: >>> import polars as pl >>> import narwhals as nw >>> s_native = pl.Series([[2, -1, 1], [3, -4, None]]) >>> s = nw.from_native(s_native, series_only=True) >>> s.list.sort().to_native() # doctest: +NORMALIZE_WHITESPACE shape: (2,) Series: '' [list[i64]] [ [-1, 1, 2] [null, -4, 3] ] r?)r rrrsort)rr@rAs rrCSeriesListNamespace.sortsE($$44  ! ! 3 3 8 8 = =% >   rr N)rrreturnNone)rEr)rboolrEr)r"rrEr)r,r&rEr)r@rGrArGrEr)r( __module__ __qualname____firstlineno__rrrr!r+r0r4r7r:r=rC__static_attributes__rrr r sL' 205  D 0 B ( * ( * (*/5  rr N) __future__rtypingrrnarwhals.typingrrr rLrrrPs'")#0v ''*v r