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: raise on timedelta64 multiplication / sum overflow (GH-43178)
- BUG: respect skipna=False in SparseArray.mean
- PERF: skip redundant `take()` copies in `_Unstacker.sorted_labels` when indexer is identity
- BUG: read_excel with index_col and parse_dates=True fails to create a DatetimeIndex when used with the pyarrow backend
- DOC: fix factual errors in development/internals.rst
- BUG: pandas.DataFrame.max fails on datetime64[ns, ...] columns with different time zones and NaT in the data
- BUG: Add skipna argument to SparseArray.mean
- TST: replace 5GB commented-out test_string_column_above_2GB (GH-55606)
- Cache BlockManager.get_dtypes result for repeated calls
- BUG: SparseArray.mean missing skipna argument
- Docs
- Python not yet supported