pandas
https://github.com/pydata/pandas
Python
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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- Issues
- BUG: Setting `index_col=False` when calling read_csv disables `on_bad_lines`
- BUG: Series(dt64_data, dtype=tzaware) vs Series(dt64_data).astype(tzaware)
- DOC: See also box should refer to same type (Series.dt.tz_convert --> Series.dt.tz_localize)
- Information for new contributors
- ENH: read_json() should work with single entry json {"refmet_name":"Citric acid","formula":"C6H8O7"}'
- BUG: When applying `Series.clip` to ordered categorical data, the outcome is different from what is expected
- ENH: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated
- API: single-level MultiIndex vs Index behavior mismatch
- BUG: result_type=expand seems to behave exactly like result_type=None
- BUG: Incorrect result for Timestamp.ceil during clock change
- Docs
- Python not yet supported