Now scala-polars not contain dataframe all operation

[mullerhai]

Hi,
for dataframe most important is groupby agg pivot concat split stack join , but I can not found these operation ,why ? please add these function ,then I think maybe it will popular in scala , and I will try use scala-polars will pytorch in scala

[mullerhai]

scala-polars is good rust-jni-scala project, even best rust-jni-scala framework ,please write more rust polars mirror func code to scala, thanks

[mullerhai]

use polars::*;
use polars::prelude::pivot::pivot;
use polars::prelude::group_by_windows;

add these declear import thing ,try to do some thing

[chitralverma]

Thanks for raising this! I'm currently refactoring data sources to support the cloud. This should be done by the first week of January. After that, I'll publish it to Maven, which will help users. Then, I'll start on more expressions and functionality.

[mullerhai]

Thanks for raising this! I'm currently refactoring data sources to support the cloud. This should be done by the first week of January. After that, I'll publish it to Maven, which will help users. Then, I'll start on more expressions and functionality.

wow ,thanks, very will , happy new year!

[dosubot[bot]]

Hi, @mullerhai. I'm Dosu, and I'm helping the chitralverma/scala-polars team manage their backlog and am marking this issue as stale.

Issue Summary:

• You requested adding key DataFrame operations like groupby, aggregation, pivot, concat, split, stack, and join to scala-polars to enhance its capabilities and support PyTorch integration.
• You also encouraged expanding Rust Polars mirror functions in Scala.
• The maintainer mentioned ongoing refactoring of data sources for cloud support, targeting completion by early January before adding more expressions and functionality.
• You acknowledged this update and shared holiday wishes.
• The issue remains unresolved with no recent updates.

Next Steps:

• Please let me know if this issue is still relevant with the latest version of scala-polars by commenting here to keep the discussion open.
• Otherwise, this issue will be automatically closed in 7 days.

Thank you for your understanding and contribution!