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: wrong BACKTICK_QUOTED_STRING prefix in DataFrame.eval()
- PERF: pd.read_parquet() consistently slower than pq.read_table().to_pandas()
- BUG: Adding a random function argument to DataFrameGroupBy.aggregate changes the grouping object from Series to DataFrame.
- BUG: Different colors for NA in `df.style.background_gradient()`
- API: Inferring dtype from iterables in pandas vs numpy
- ENH: rolling mean with limited number of observations in a given period
- BUG: read_json broken for S3 URL with non-null chunksize
- BUG: Grouper: Origin param has no effect
- PERF: cut with IntervalIndex slower than cut with array of bin edges for large arrays
- BUG: `Period` and `period_range` behaviour is inconsistent.
- Docs
- Python not yet supported