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
- ENH: support pd.NA in "category" dtype
- API: Specify the behaviour for operating on empty objects
- BUG: `pd.Grouper` creates empty groups (and in doing so is inconsistent with `groupby`) with `pd.DatetimeIndex`
- BUG: read_csv with engine pyarrow doesn't handle missing values
- ENH: Add new date_format option to_json matching datetime.isoformat exactly
- Pandas string dtype needs from NumPy - prototyping & plan of attack
- BUG: to_csv requires escapechar unnecessarily when data contains null byte \x00 (Python 3.10+ only)
- ENH: DataFrame eval will not work with '"True", "False", "inf", "Inf"
- DOC: repurpose `Styler` as a general display tool and not an HTML-CSS tool
- DOC: Add example of drop_duplicates dropping a first-level
- Docs
- Python not yet supported