Additional support for time data in DataFrames
- Dominant language
- Python
- Stars
- 693
- Forks
- 112
- PR merge metrics
- No merged PRs in 30d
Description
- Support `Series.__gt__`, etc for `datetime`/`date`/`time` types
- [`at_time`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.at_time.html)
- [`between_time`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.between_time.html)
- [`first`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.first.html)
- [`last`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.last.html)
- [`to_timestamp`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to_timestamp.html)
Contributor guide
Research direction
Review the pandas API entries linked in the issue, especially at_time, between_time, first, last, and to_timestamp, along with the requested Series comparisons for datetime, date, and time values. Map these entry points to Eland's DataFrame and Series behavior, then verify that each listed operation and comparison is supported consistently.
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
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 28/100