Pandas Timestamp from Arrow Object
- Dominant language
- Python
- Stars
- 9.1k
- Forks
- 784
- PR merge metrics
- No merged PRs in 30d
Description
## Issue Description
I read #755 and thought that Arrow objects supposed to work with pandas TimeStamp object.
However, I couldn't get them to work together without accessing the property "naive".
The Arrow objects couldn't be parsed using `pd.to_datetime`
I couldn't sliced pandas Timestamp using Arrow objects as well. Is this how it's supposed to be?
I really like arrow that I can get the floor and ceiling of a frame so fast, however, it's kind of quirky to have to access .naive everytime I interact with pandas
## System Info
- 🖥 **OS name and version**: Debian Linux 11.5
- 🐍 **Python version**: 3.10.6
- 🏹 **Arrow version**: 1.2.3
Contributor guide
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Research direction
Reproduce the reported interactions between Arrow objects and pandas Timestamp, including pd.to_datetime and pandas slicing, with the versions listed in the issue. Trace how the Arrow object's naive property is currently used and determine whether conversion and slicing should work without it; done means the intended behavior is reproduced and covered by tests or clearly documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- pandas, python
- Domain
- data
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100