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: setting dtype='timestamp[ns][pyarrow]' removes precision from strings
- BUG: Resampling to monthly/quarterly/yearly ignores offset parameter
- BUG/API: behaviour of floordiv with `bool` operands is very inconsistent
- BUG: `DatetimeIndex.tz_convert()` has incorrcect `.freq` attribute
- BUG: Different behavior for different index types
- API: Clarify difference between agg and apply for Series / DataFrame
- BUG: Column of Lists becomes Column of ndarray after writing to feather or parquet formats
- BUG: Series read_json tries to convert all column values to dates even when using keep_default_dates=True, if one column has an na value
- PERF: Memory leak when returning subset of DataFrame and deleting the rest
- BUG: `DatetimeIndex.floor` works, but `.ceil` does not, during a DST-changeover
- Docs
- Python not yet supported