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
- `suffix` parameter in `Series.shift` not used in the implementation
- BUG: Series constructor incorrectly assumes that any dtype with `.kind == 'V...'` is a “compound dtype”
- TRACKER: new default String dtype (pyarrow-backed, numpy NaN semantics)
- BUG: `Timestamp.to_julian_date()` does not take into account timezone
- PERF: `mean` method works too long with object type
- BUG: reading zst compressed pickle from 1.5.3 fails
- ENH: extend pd.api.types with an is_datelike_dtype
- DEPR: values casting dt64tz, Interval, Period
- ENH: Include a parameter for repeated sampling in `df.sample`
- BUG: `pd.Timestamp()` only raises for nonexistent times when instantiated using str `ts_input`
- Docs
- Python not yet supported