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
- API: select_dtypes raises on a partly specified IntervalDtype/CategoricalDtype (GH#40234)
- BUG: unstack size PerformanceWarning missed multi-level and NaN cases (GH#10582)
- PERF: avoid building _pd_timedelta on every subtraction
- DEPR: precise_float and double_precision in JSON I/O
- BUG: iloc/loc setitem broadcast a 1-D value down rows on an all-datetimelike frame
- BUG: the logical ufuncs were not rejected against datetimelike data (GH#68524)
- BUG: date_range emitted dates past end for non-Tick offsets
- BUG: datetimelike sparse reductions returned unboxed numpy scalars
- BUG: sparse cumprod/cummin/cummax read the NA gaps of an int subtype as 0 (GH#68187)
- BUG: SparseDtype stored an NA fill value verbatim on a datetimelike subtype
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