Support for multi type arrays
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- Rust
- Stars
- 1.4k
- Forks
- 141
- Avg merge
- 16m
- Merged PRs (30d)
- 3
Description
It would be useful to support arrays with multiple data types like structured arrays https://numpy.org/doc/stable/user/basics.rec.html
This would be useful when dealing with for example timestamped data where you have a u64 timestamp in one column and x,y,z floats in 3 other columns.
Contributor guide
No contributing guide indexed for this repository
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
The issue names no repository files, tests, or entry points. Start by reviewing the linked NumPy structured-array documentation and the existing rust-numpy array support; done means defining and implementing multi-type arrays that can represent a u64 timestamp alongside x, y, and z floats.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- numpy, rust
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100