7 мар. 2022 г. · I have a dataframe that has many rows per combination of the 'PROGRAM', 'VERSION' and 'RELEASE_DATE' columns. I want to get a dataframe with all of the ...

7 февр. 2023 г. · 4 Answers 4 · concat_list() to create list from all (using * but can use all() instead) columns. · list.unique() to keep unique values only.

26 мая 2023 г. · Polars get unique values from List[Any] · Do you mean from the result of a .select() ? e.g. df.select(pl.col("tags").flatten().unique().implode ...

21 апр. 2024 г. · Create a column for a unique id before splitting such that I can use that id to join the split dataframes after grouping/manipulating separately.

8 июн. 2023 г. · With the groupby and agg you can create the lists with all the pokemon names per 'Type 1', which is joined to the original dataframe.

24 янв. 2024 г. · To concatenate string values from a single column across rows within each group in a Polars DataFrame in Python, you can use the agg function with pl.col to ...

29 авг. 2024 г. · The most efficient solution is to just count the unique values including the null(s), and subtract 1 if there is a null.

9 окт. 2022 г. · Given a dataframe, how do I count the number of [multi-column] unique records within a group, and return the result as a single column?

17 нояб. 2021 г. · I have +3000 CSVs with +10 columns. What I need is to get all unique values from just two of these. I am able to read unique values in polars.

12 апр. 2023 г. · This combines both into a single list, but I would want to split on the pipe and get the unique values. How can this be achieved?