Error on extraneous columns
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 618
- Forks
- 21
- Avg merge
- 14h 34m
- Merged PRs (30d)
- 7
Description
Not sure if this exists, but when I do validate, it doesn't throw an error on extraneous columns. This was a feature in patito for example
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
Start at the validate entry point and inspect existing validation behavior for dataframe columns. Define the expected handling of extraneous columns, add coverage for that case, and confirm validation raises an error when such columns are present.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 55/100