2020)¶

This release includes many new features, bug fixes and performance improvements. Overall, 60 code patches were merged since the last release.

New Features and Improvements¶

Bodo is updated to use Numba 0.52 (latest)
Support for reading CSV and Parquet from Azure Data Lake Storage (ADLS)
Improved support for UDFs
- More robust user function handling
- Improved support for date/time data types in UDFs
Improved support for rolling window functions
- Support raw argument of apply()
- Support column selection from rolling objects
- Support for nullable int values
Pandas coverage:
- Support for groupby.apply
- Support for groupby rolling functions
- Improved support for dataframe indexing using df.loc/iloc
- Improve dtype handling in read_csv
- Support for Series.mask
- Improved robustness for highly skewed string data (e.g. most of string data is on a few processes due to uneven data distribution)
- Support for dataframes with repeated column names
- Support for datetime.date arrays as Index in pivot_table and as argument to pd.DatetimeIndex
- Improved error checking in Pandas implementations
- Unroll constant loops for type stability in more cases
Numpy coverage:
- Support for np.hstack
Scikit-learn:
- Support for sklearn.preprocessing.StandardScaler inside jit functions.