pandas
https://github.com/pandas-dev/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: reduce per-group overhead in groupby.agg with UDFs
- ENH: align timedelta fractional seconds in string repr (#57188)
- TST: Add regression test for read_parquet null batches (#55731)
- BUG: `DataFrame.agg([...], numeric_only=True)` returns `NaN` for non-numeric columns instead of excluding them
- BUG: `DataFrame.agg` with list-like funcs reintroduces filtered columns as `NaN` with `numeric_only=True`
- PERF: short-circuit array_equivalent and equals comparisons
- TST: add check_freq to assert_index_equal
- PERF: vectorize _range_from_fields and _assemble_from_unit_mappings
- PERF: pass how=left to _factorize_keys in _left_join_on_index (#65160)
- BUG: Harden lxml XMLParser to disable XXE entity resolution (#64979)
- Docs
- Python not yet supported