pandas
https://github.com/pandas-dev/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
- Higher Order Methods API
- BUG: Serializing sparse dataframe 15x slower than converting to dense version + serializing the dense version
- DEPR: SeriesGroupBy._aggregate_named
- BUG: able to create nonexistent Timestamp
- BUG: Errors caused by DataFrame.all(..., skipna=False, ...) in rows without na values.
- pandas concat does not match index names when concatenating two dataframes with a multiindex
- BUG: wrong output index mapping of results when groupby both scan and reduction aggregation are passed
- BUG: map nested dict on categorical Series prints a TypeError and ignores it
- BUG: boolean commutativity broken with a Series with object dtype with boolean values and None (can be returned from `.str` boolean methods)
- ENH: Memory usage of read_sql could be significantly reduced to ~25% of current memory usage
- Docs
- Python not yet supported