pandas
https://github.com/pandas-dev/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
- Series[dt64].astype(int64) vs Series[Sparse[dt64]].astype(int64)
- BUG: Cannot parse query for df.query() with column name containing two-bytes parenthesis.
- BUG: Write and read parquet changes index type from PeriodIndex to int values of DataFrame with MultiIndex
- BUG: Column of Lists becomes Column of ndarray after writing to feather or parquet formats
- BUG: Different behavior for different index types
- BUG: Dataframe.to_excel treats decimal.Decimal as string instead of numeric type, the data in the Excel cell is formatted as a string, not a number
- BUG: `DatetimeIndex.is_year_start` returns incorrect array if `.freq == 'MS'`
- BUG/CLN: Vendored ujson Module
- API: DataFrame(list_with_ea)
- BUG: Series read_json tries to convert all column values to dates even when using keep_default_dates=True, if one column has an na value
- Docs
- Python not yet supported