lincc-frameworks / lincc-frameworks/nested-pandas
TensorColumns inside a NestedColumn (e.g. TimeSeries of images)
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 26
- Forks
- 8
- Avg merge
- 2d 2h
- Merged PRs (30d)
- 9
Description
Make sure nested column infrastructure supports tensor columns. This includes making sure the repr is usable, that getting individual nested column frames have the right extension types, and that map_rows is supported.
Contributor guide
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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 locating the nested column infrastructure and existing tests for TensorColumn, NestedColumn, and map_rows. Check how nested column frames expose extension types and how their repr is rendered; done means tensor columns work in nested structures, with usable repr output, correct extension types, and map_rows support.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- pandas, python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 52/100