Simplify DataFrame interface?
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- Dominant language
- Kotlin
- Stars
- 1.1k
- Forks
- 83
- Avg merge
- 4d 12h
- Merged PRs (30d)
- 30
Description
DataFrame primary interface seems to be over-complicated. A lot of methods have only default implementations and could be moved to extensions. I propose to simplify it significantly like I've done here. It would allow to add and maintain features in a simpler way. For example, it would allow to addition of row-based DataFrames.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the DataFrame primary interface and comparing its default implementations with the linked dataforge-tables Table.kt example at lines 15-20. Determine which methods should move to extensions and how row-based DataFrames fit; done requires an agreed design and the corresponding interface simplification.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- kotlin
- Domain
- data
- Issue type
- Refactor
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100