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
- ENH/BUG: pd.date_range() still defaults to nanosecond resolution
- BUG: read_parquet wrongly returns empty index if asked to read empty column list
- ENH: new method `Series.struct.assign` to allow adding sub-fields to a struct
- ENH: Pandas Tensor Data Type
- BUG: Reading large CSV files with `pyarrow` when values contain newline character.
- BUG: Accessing a row with loc recasts dtype and can cause values to change depending on other columns
- PDEP-16: Consistent missing value handling
- API: timestamp resolution inference - default to one unit (if possible) instead of being data-dependent?
- BUG: `Index.difference` is returning too many values
- BUG: index `to_period` - `to_timestamp` round trip with `freq` argument fails specifically with `period-start` frequencies
- Docs
- Python not yet supported