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: index `to_period` - `to_timestamp` round trip with `freq` argument fails specifically with `period-start` frequencies
- BUG: `Series.combine_first` replaces `None` with `NaN` at index not provided by `other`
- BUG: `interval_range` ignores type of `start` (regression from pandas 2.2.2)
- API/CoW: take view of underlying Block values for shallow (deep=False) copies
- Potential performance regression with "CLN: enforce deprecation of frequencies deprecated for offsets"
- BUG: Column of dtype Categorical in DataFrame encounters error when taking a row that includes nan in the column
- DOC: Searching DataFrame.eval( blocks me from the documentation
- ENH: add "right" argument to "qcut", like "cut" has
- BUG: inconsistency in the behaviour of `DatetimeIndex.is_year_start` on the frequency "BYS"
- BUG: Index containing NA behaves absolutely unpredictably when length exceeds 128
- Docs
- Python not yet supported