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: add option to save json without escaping forward slashes
- QST: Subject: User Experience Issue - NumPy Types in DataFrame Results Breaking Readability
- BUG: numpy_nullable NaNs do not round-trip through CSV
- BUG: Implicit conversion to float64 with isin()
- ENH: Add `excel_sep_hint` parameter to `to_csv` for Excel compatibility
- ENH: Add prefix, suffix and sep arguments to shift method
- BUG: Index[Float64].insert(1, False) casts False to 0
- BUG: user expected pd.isna to be False for NaNs with Float64Dtype
- BUG: Calling dict(df.groupby(...)) raises TypeError: 'str' object is not callable despite valid inputs
- DOC: Typo within `Series.mask()` docs - alignment is done between self and cond, not cond and other
- Docs
- Python not yet supported