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: timezone-aware `Period`
- BUG: the precision of big integer in read_json
- ENH: Integration with DuckDB
- PERF: Calling df.agg([function]) is much slower than df.agg(function) when there are many columns and few rows.
- BUG: bootstrap_plot samples without replacement
- BUG: read_csv with `memory_map=True` on BytesIO object fails
- BUG: Cannot assign values to DataFrame using mask after previous multi-column `__setitem__` value assignment
- BUG: Cut fails when number of bins is more than 102 on a 32-bit machine.
- BUG: DataFrame.to_csv cannot return a binary string when not piped to file
- API: use "safe" casting by default in astype() / constructors
- Docs
- Python not yet supported