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: The row and column indexing mechanism of your dataframe is inefficient, leading to errors and unnecessary time consumption
- BUG: setting item to iterable with .at fails when column doesn't exist or has wrong dtype
- ENH: Add ignore_empty and ignore_all_na arguments to pd.concat
- ENH: Consistent NA handling in `unique()`, and `nunique()`
- BUG: DataFrame.min with skipna=True raises TypeError when column contains np.nan and datetime.date
- BUG: Boolean selection edge case.
- BUG: Performance issue with fillna() after merging DataFrames
- BUG: Inconsistency when converting week PeriodIndex into DatetimeIndex with astype("datetime64[ns]")
- BUG: DataFrame.dtypes.to_json OverflowError: Maximum recursion level reached
- BUG: pd.read_csv() on empty files should give an empty dataframe pd.DataFrame()
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