28 июл. 2023 г. · I want to unnest both those columns and get a flat data frame, with the fields suffixed to disambiguate them.

1 дек. 2022 г. · This method is the most concise and intuitive means to unnest nested structs as it repeatedly unnests the frame and then checks if there are structs until ...

12 авг. 2024 г. · You can avoid unpivot by relying on schema knowledge since Polars is aware of the fields on a struct. This has the added (but not necessary) benefit of readily ...

24 янв. 2023 г. · To decompose column with Lists, you can use .explode() method (doc) df = pl.DataFrame({'a':[1,2,3], 'b':[['a','b'],['a'],['c','d']]})

7 июн. 2024 г. · I am trying to use the .unnest() method on a column in a Polars data frame. In the example attached below I generate the column "processed" as Lists of Strings.

13 мая 2024 г. · I am trying to generate arrays of varying length within a polars dataframe (ie, a list column). For each cluster_id I would like to generate a series of 0s and ...

6 окт. 2023 г. · I would like to add a prefix or suffix to the column names generated during the unnesting to resolve this, but I haven't been able to do so.

9 апр. 2024 г. · I want to "unpack" this string into new columns for each sector (eg, Technology, Financials, Health Care) with associated values or a polars struct with sector ...

7 нояб. 2023 г. · There are two ways you can do this. struct/unnest The easiest is to .list.to_struct and then unnest from string import ascii_lowercase

29 июн. 2023 г. · I would like to prefix the names of the nested columns so they do not create duplicate columns. Here is an example