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: MultiIndex block assignment introduces NaNs in data
- BUG: to_sql not properly escaping column names postgresql
- BUG:df.drop(columns=["col1"]) KeyError "['col1'] not found in axis"
- BUG: read_parquet empty DataFrame with MultiIndex column fails with "AttributeError: 'dict' object has no attribute 'dtype'"
- Performance regression in reindex.Fillna.time_float_32, etc.
- pd.read_parquet causing Python to crash
- API: make CachedAccessor public in addition to register_dataframe_accessor
- BUG: ewma with time gives strange results with adjust = False vs. True, difference is too large to make sense
- BUG: Categorical dtype in MultiIndex levels is lost during set operations (difference, union, intersection,...)
- BUG: read_csv accepts bad lines when option usecols is used
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- Python not yet supported