0.16.0 (2023-12-12)

Features

• Add ARIMAPlus.predict parameters (#264) (99598c7)
• Add DataFrame from_dict and from_records methods (#244) (8d81e24)
• Add DataFrame.select_dtypes method (#242) (1737acc)
• Add nunique method to Series/DataFrameGroupby (#256) (c8ec245)
• Support dataframe.loc with conditional columns selection (#233) (3febea9)

Bug Fixes

• Enfore pandas version requirement <2.1.4 (#265) (9dd63f6)
• Exclude pandas 2.1.4 from prerelease tests to unblock e2e tests (b02fc2c)
• Fix value_counts column label for normalize=True (#245) (d3fa6f2)
• Migrate e2e tests to bigframes-load-testing project (8766ac6)
• Ml.sql logic (#262) (68c6fdf)
• Update the llm_kmeans notebook (#247) (66d1839)

Documentation

• Add code samples for shape and head (#257) (5bdcc65)
• Add example for dataframe.melt, dataframe.pivot, dataframe.stac… (#252) (8c63697)
• Add example to dataframe.nlargest, dataframe.nsmallest, datafra… (#234) (e735412)
• Add examples for dataframe.cummin, dataframe.cummax, dataframe.cumsum, dataframe.cumprod (#243) (0523a31)
• Add examples for dataframe.nunique, dataframe.diff, dataframe.a… (#251) (77074ec)
• Correct the docs for option_context (#263) (d21c6dd)
• Correct the params rendering for ml.remote and ml.ensemble modules (#248) (c2829e3)
• Fix return annotation in API docstrings (#253) (89a1c67)