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
- BUG: categorical dtype equality for level in different type
- BUG: there is no year 0
- TST: Standardize GitHub references
- REF/API: EA formatting methods
- BUG: Inconsistent dtype behavior between read_csv and convert_dtypes with pyarrow backend for datetime
- BUG: enlarging a DataFrame by adding an extra column with a tz-aware datetime results in object dtype
- `set` allowed for `index` argument in `Series`, `index` and `columns` for `DataFrame.from_records()`
- BUG: To/read parquet with None values in partition cols fail
- TST: tests for tm.shares_memory
- ENH: Make performance warnings opt-in and more noisy
- Docs
- Python not yet supported