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: hash_array does not produce deterministic integers
- ENH: Allow rank to return int64 for numpy types when no missing values are present
- BUG: to_json and then read_json goes wrong for categories created by the cut operation
- PERF/STY: avoid ravel
- DEPR: pd.Categorical
- ENH: Preserve column attrs when doing column selection
- BUG: pd.json_normalize outputs meta argument as list
- PERF: Optimize resample Method by Adding Precomputation and Subgroup Aggregation Option
- DEPR: read_csv keywords: keep_date_col, delim_whitespace
- ENH: Add Zstd Compression Option for Parquet Output
- Docs
- Python not yet supported