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: Inconsistency between behavior of cumsum when applied directly, and when applied within groupby.
- BUG: pd.Timedelta breaks hash invariant
- REF: Unify creation of dataframe for C and Python parser engines
- BUG/API: Inconsistent index result for groupby().rolling(on=...) between Series and DataFrame
- ENH: Warning with only one column used in `apply` causing performance issues
- BUG: dataframe.replace({np.nan: None}) failed when replaced even number of times
- API (BUG?): DatetimeArray.astype vs to_numpy behaviour differences
- BUG: Get element from series of dtypes.value_counts() by index don't work most of times
- BUG: Resampler agg cannot apply on list of functions
- BUG: `Series.map` passes `DatetimeIndex` as first argument on some series
- Docs
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