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Pull requests: pandas-dev/pandas
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BUG: preserve categorical & sparse types when grouping / pivot & preserve dtypes on ufuncs Bug Categorical Categorical Data Type ExtensionArray Extending pandas with custom dtypes or arrays. Groupby Sparse Sparse Data Type
BUG-16807-1 SparseFrame fills with default_fill_value if data is None Bug Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate Sparse Sparse Data Type
DOC: Update is_sparse docstring Docs Sparse Sparse Data Type
#19983 by sechilds was merged Nov 13, 2018 Loading…
1 of 4 tasks
added check if categoricalDtype for issue #19278 Categorical Categorical Data Type Sparse Sparse Data Type
#20644 by xchoudhury was closed Oct 11, 2018 Loading…
2 of 4 tasks
CLN GH23123 Move SparseArray to arrays Refactor Internal refactoring of code Sparse Sparse Data Type
#23147 by JustinZhengBC was merged Oct 16, 2018 Loading…
3 of 4 tasks
BUG: Made SparseDataFrame.fillna() fill all NaNs Bug Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate Sparse Sparse Data Type
BUG: Made SparseDataFrame.fillna() fill all NaNs Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate Sparse Sparse Data Type
#16178 by keitakurita was closed Jul 12, 2017 Loading…
3 tasks done
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