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
- API / BUG: How do we differentiate between -9223372036854775808 and iNaT?
- BUG: drop_duplicates() doesn't work for object dtype series containing numpy nans
- Order of Categories in unordered Categorical causes query bugs in read_hdf
- Applying on empty DataFrame returns different types
- read_sas fails due to unclear problems in SAS dataset
- qcut doesn't always properly distribute across bins
- Non-inclusive partial string indexing on DatetimeIndex
- No way with to_json to write only date out of datetime
- API: merge will cast keys to min dtype, rather than upcast for mixed (integer) dtypes
- ENH: new interpolate kwarg to skip gaps
- Docs
- Python not yet supported