Feature request: to_pandas()/to_arrow()
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Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
Research direction
The issue names no files, tests, or entry points. First inspect how query results expose column names and data types, then define a performant Pandas or PyArrow conversion API and its expected type-preservation behavior before identifying tests for the requested feature.
Written by the indexing model from the issue text.
Description
Hi, is there an easy+performant way to convert the result of a query into a Pandas or PyArrow dataframe while keeping the column names and data types?
- Dominant language
- Python
- Stars
- 2.5k
- Forks
- 443
- Avg merge
- 18h 21m
- Merged PRs (30d)
- 4
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