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
- DEPR: Some dropna behaviors in DataFrame.pivot_table
- DEPR: values_for_argsort, values_for_factorize, from_factorized
- BUG: `fillna` specify duplicated column that is MultiIndex causes RecursionError
- PERF: `pandas` takes 8-9 seconds to import in a new environment
- BUG: to_json does not preserve nanosecond precision of DatetimeIndex with time zone information
- DEPR: combine_first
- DEPR/API: combine
- BUG: `pd.read_csv(io.StringIO("a\nNone")).a[0]` is `'None'` on pandas 1 but `NaN` on pandas 2
- BUG: Inconsistent behavior in comparison operators between scalar and series with arrow types
- DEPR: allowing non-round floats in to_datetime/DatetimeIndex/Timestamp/...
- Docs
- Python not yet supported