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: Parquet roundtrip fails with numerical categorical dtype
- ENH: Support pd.json_normalize for normalizing only meta fields
- PERF: regression on mean(axis=1) compared to old pandas version
- ENH: pd.to_sql(upsert=True, upsert_on_columns=['game_id'])
- BUG: `csv.QUOTE_NOTNULL` doesn't seem to be supported by `DataFrame.to_csv()`, but there's no error and it's not documented
- TST: Make test_sql.py parallelizable
- BUG: subtle conversion issue for to_datetime
- REF: dtype_backend argument in sql module mixes lib.no_default and numpy
- BUG: spearman correlation doesn't work on non-numeric data
- DOC: v2.2 offline documentation search button not work
- Docs
- Python not yet supported