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
- DataFrame.set_index when setting a duplicate name now raises
- Sub-nanosecond datetime support
- Cannot `remove_unused_categories` for CategoricalIndex in a MultiIndex
- `read_sql_table` fails on Geopackge SQLite file due to DATETIME field with string value
- set_index with multiindex silently converts None to NaN
- DataFrame arithmetic functions with multiindex, NaN index values, and fill_value set returns an invalid result with non-unique index.
- to_sql into MSSQL datetimeoffset column drops offset for DataFrame with one row
- NA is not included in MultiIndex.levels if we construct MI with nan
- TypeError when subtracting datetime64 and timestamp but only in eval
- Pandas date_range error when the date falls in a DST starting day.
- Docs
- Python not yet supported