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: `pd.concat()` produces invalid index when inputs have `Int64Dtype` index with `NA`s
- When getting the numpy datatype, return datetime64[D] for pa.Date32 and return datetime64[ms] for pa.Date64
- BUG: indexing a MultiIndex-ed DataFrame (only) with a scalar on a level and a slice on another doesn't drop a level
- ENH: Support `pd.col` in `.loc` for Series
- BUG: (pandas 3.0rc0) `str.cat` is not retaining `index` dtype
- BUG: 3.0rc0: comparing `StringArray`s with `==` yields a `bool[pyarrow]` array with no `.sum()` method
- BUG: `.loc` slicing fails on PyArrow-backed date index
- BUG: inferred_freq is infers the wrong freq 2BQS-OCT instead of 2BQS-JAN
- Pandas 2.3.3 and rhel7 compatibility
- API: reconsider returning read-only arrays from DataFrame/Series .array/.values/__array__
- Docs
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