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 in DataFrame.where between inplace and not inplace with na like value for StringArray
- PERF: groupby.agg() regression
- BUG: Confusing error message when `to_datetime` fails for times
- BUG: `lambda` with positional references in `apply` after `groupby` on empty dataframe errors
- ENH: Add 'observed' parameter to value_counts
- BUG: Pivot table on empty frame generates MultiIndex (regression)
- ENH: Generalize RangeIndex to support floats
- BUG: "RuntimeWarning: divide by zero encountered in log10" that does not appear with a `numpy` argument
- DEPR: deprecate pytz support
- BUG: unsuccessful value assignment of data frame with an n*2 list when using pandas loc
- Docs
- Python not yet supported