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
- ENH: read_html(): large colspan values cause unreasonable memory allocations
- ENH: make read_excel dtype parameter compatible with multiple sheets (e.g sheet_name =[0,"list_of_sheets"])
- API: Is pandas.util public?
- Set up benchmarks server
- REF: Replace args/kwargs in groupby.resample with TimeGrouper arguments
- BUG: Unexpected %S strftime behaviour when using PyArrow timestamps
- BUG: pandas groupby.apply return type changes depending on number of unique groupkeys for same custom-function
- BUG: New versions of numpy breaks log/where using pandas series
- BUG: sort_values raises error about null categorical values when no categorical types are used
- DEPR: deprecate element-wise operations in (Series|DataFrame).transform
- Docs
- Python not yet supported