Hi I want to define a polars schema.

In Python-Polars, it is easy to calculate the Sum of all the lists in an array with polars.Expr.list.sum. See the example below for the sum:

In Python-Polars, it is easy to calculate the Sum of all the lists in an array with polars.Expr.list.sum. See the example below for the sum:

I am trying to buld a function that takes a list of struct columns, extracts two fields, and perform a cross-field combination of all the values of such fields. Everything in the same context. For example, for:

I am trying to buld a function that takes a list of struct columns, extracts two fields, and perform a cross-field combination of all the values of such fields. Everything in the same context. For example, for:

The df contains 100 millions of rows, and group_by columns is like 25-30. Is there a way to speed this operation up from here? or this is the best I can get.

The df contains 100 millions of rows, and group_by columns is like 25-30. Is there a way to speed this operation up from here? or this is the best I can get.

The df contains 100 millions of rows, and group_by columns is like 25-30. Is there a way to speed this operation up from here? or this is the best I can get.

The issue may be related to https://github.com/pola-rs/polars/issues/9842 and How to process Python Polars LazyFrame in batches

The issue may be related to https://github.com/pola-rs/polars/issues/9842 and How to process Python Polars LazyFrame in batches