Description Polars allows concatentation of List typed columns with pl.concat_list. It would be useful to also allow concatenation of Array typed columns. Eg: df = pl.DataFrame([ pl.Series('x', [[0, 1], None, [2, 3]], dtype=pl.Array(pl.I...
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polar中的副本是自由的，因为它只增加后备内存缓冲区的引用计数，而不是复制数据本身。但是，如果内存缓冲...
我曾经收到一份20页的PDF银行对账单，需要将其中的3页转发给另一方，但我不想发送整个文件，因为有些...
例如refcount == 1，我们可以修改polars内存。了解此背景后，可以使用以下方法附加数据：...
一旦你知道去哪里找，答案就变得相当简单了，使用diagonal_concat功能，你可以解锁diag_concat_lf（以及渴望的diag_concat_df）：
shrink_type on all-null columns (#9811) don't go into streaming engine when groupby by list (#9834) fix regex + exclude (#9827) addmaintain_orderargument tosort/top_k/bottom_k(#9672) fix array concat and Series::fill_null (#9825) ...
Preserve lexical ordering on concat (#15753) Remove incorrect unsafe pointer cast for int -> enum (#15740) pass series name to apply for cut/qcut (#15715) count of null column shouldn't panic in agg context (#15710) manual cache (#15711) ...
Convert concat during IR conversion (#16016) Improve dynamic supertypes (#16009) Additionaluintdatatype support for the SQL interface (#15993) Support Decimal read from IPC (#15965) Add typed collection from par iterators (#15961) Addbyargument forExpr.top_kandExpr.bottom_k(#15468) ...
So when adding multiple columns, concat is way faster than the normal with_columns() method. Would be nice if these two methods were equally as fast. Expected behavior That these functions become equally as fast Installed versions ---Version info--- Polars: 1.12.0 Index type: UInt32 Platfor...