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
- ASV: docs, runtime, stability, build acceleration, PR integration?
- inconsistent float rounding in to_json
- Missing Values and Categoricals - inconsistent dtypes
- datetimeindex.to_period not behaving as expected.
- API: Allow use of keep="all" in duplicated
- Strange implicit string to datetime coercion during pd.Series comparisons
- Pandas 0.23.4 reindexing multiindexed frame with `ffill` confusing output
- pandas.cut: the 'include_lowest' argument isn't behaving as documented
- Bitwise operations have inconsistent behavior, different from numpy
- Option to change pandas.Timestamp format when printing dataframe
- Docs
- Python not yet supported