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
- PERF: typed non-boxing path for get_indexer_non_unique
- PERF: render to_csv chunks natively, bypassing csv.writer
- PERF: reduce overhead in sorted merges and safe_sort
- PERF: pool skiplist node allocations for rolling median/quantile/rank
- PERF: avoid argsort of uniques in safe_sort
- PERF: Series.isin for integer dtypes with small-range values
- PERF: avoid transpose for axis=1 reductions on single-block DataFrames (GH#51474)
- PERF: prefix bloom filters for read_csv NA-value lookups
- DOC: Fix misleading melt example in reshaping guide (#23844)
- TST: add regression test for validate='1:m' alias
- Docs
- Python not yet supported