Release Notes

v0.0.5 November 11, 2020

• Enhancements

  • Add __eq__ to DataTable and DataColumn and update LogicalType equality (#318)

  • Add value_counts() method to DataTable (#342)

  • Support serialization and deserialization of DataTables via csv, pickle, or parquet (#293)

  • Add shape property to DataTable and DataColumn (#358)

  • Add iloc method to DataTable and DataColumn (#365)

  • Add numeric_categorical_threshold config value to allow inferring numeric columns as Categorical (#363)

• Fixes

  • Catch non numeric time index at validation (#332)

• Changes

  • Support logical type inference from a Dask DataFrame (#248)

  • Fix validation checks and make_index to work with Dask DataFrames (#260)

  • Skip validation of Ordinal order values for Dask DataFrames (#270)

  • Improve support for datetimes with Dask input (#286)

  • Update DataTable.describe to work with Dask input (#296)

  • Update DataTable.get_mutual_information to work with Dask input (#300)

  • Modify to_pandas function to return DataFrame with correct index (#281)

  • Rename DataColumn.to_pandas method to DataColumn.to_series (#311)

  • Rename DataTable.to_pandas method to DataTable.to_dataframe (#319)

  • Remove UserWarning when no matching columns found (#325)

  • Remove copy parameter from DataTable.to_dataframe and DataColumn.to_series (#338)

  • Allow pandas ExtensionArrays as inputs to DataColumn (#343)

  • Move warnings to a separate exceptions file and call via UserWarning subclasses (#348)

  • Make Dask an optional dependency installable with woodwork[dask] (#357)

• Documentation Changes

  • Create a guide for using Woodwork with Dask (#304)

  • Add conda install instructions (#305, #309)

  • Fix README.md badge with correct link (#314)

  • Simplify issue templates to make them easier to use (#339)

  • Remove extra output cell in Start notebook (#341)

• Testing Changes

  • Parameterize numeric time index tests (#288)

  • Add DockerHub credentials to CI testing environment (#326)

  • Fix removing files for serialization test (#350)

Thanks to the following people for contributing to this release: @ctduffy, @gsheni, @tamargrey, @thehomebrewnerd

Breaking Changes

• The DataColumn.to_pandas method was renamed to DataColumn.to_series.

• The DataTable.to_pandas method was renamed to DataTable.to_dataframe.

• copy is no longer a parameter of DataTable.to_dataframe or DataColumn.to_series.

v0.0.4 October 21, 2020

• Enhancements

  • Add optional include parameter for DataTable.describe() to filter results (#228)

  • Add make_index parameter to DataTable.__init__ to enable optional creation of a new index column (#238)

  • Add support for setting ranking order on columns with Ordinal logical type (#240)

  • Add list_semantic_tags function and CLI to get dataframe of woodwork semantic_tags (#244)

  • Add support for numeric time index on DataTable (#267)

  • Add pop method to DataTable (#289)

  • Add entry point to setup.py to run CLI commands (#285)

• Fixes

  • Allow numeric datetime time indices (#282)

• Changes

  • Remove redundant methods DataTable.select_ltypes and DataTable.select_semantic_tags (#239)

  • Make results of get_mutual_information more clear by sorting and removing self calculation (#247)

  • Lower minimum scikit-learn version to 0.21.3 (#297)

• Documentation Changes

  • Add guide for dt.describe and dt.get_mutual_information (#245)

  • Update README.md with documentation link (#261)

  • Add footer to doc pages with Alteryx Open Source (#258)

  • Add types and tags one-sentence definitions to Understanding Types and Tags guide (#271)

  • Add issue and pull request templates (#280, #284)

• Testing Changes

  • Add automated process to check latest dependencies. (#268)

  • Add test for setting a time index with specified string logical type (#279)

Thanks to the following people for contributing to this release:

@ctduffy, @gsheni, @tamargrey, @thehomebrewnerd

v0.0.3 October 9, 2020

• Enhancements

  • Implement setitem on DataTable to create/overwrite an existing DataColumn (#165)

  • Add to_pandas method to DataColumn to access the underlying series (#169)

  • Add list_logical_types function and CLI to get dataframe of woodwork LogicalTypes (#172)

  • Add describe method to DataTable to generate statistics for the underlying data (#181)

  • Add optional return_dataframe parameter to load_retail to return either DataFrame or DataTable (#189)

  • Add get_mutual_information method to DataTable to generate mutual information between columns (#203)

  • Add read_csv function to create DataTable directly from CSV file (#222)

• Fixes

  • Fix bug causing incorrect values for quartiles in DataTable.describe method (#187)

  • Fix bug in DataTable.describe that could cause an error if certain semantic tags were applied improperly (#190)

  • Fix bug with instantiated LogicalTypes breaking when used with issubclass (#231)

• Changes

  • Remove unnecessary add_standard_tags attribute from DataTable (#171)

  • Remove standard tags from index column and do not return stats for index column from DataTable.describe (#196)

  • Update DataColumn.set_semantic_tags and DataColumn.add_semantic_tags to return new objects (#205)

  • Update various DataTable methods to return new objects rather than modifying in place (#210)

  • Move datetime_format to Datetime LogicalType (#216)

  • Do not calculate mutual info with index column in DataTable.get_mutual_information (#221)

  • Move setting of underlying physical types from DataTable to DataColumn (#233)

• Documentation Changes

  • Remove unused code from sphinx conf.py, update with Github URL(#160, #163)

  • Update README and docs with new Woodwork logo, with better code snippets (#161, #159)

  • Add DataTable and DataColumn to API Reference (#162)

  • Add docstrings to LogicalType classes (#168)

  • Add Woodwork image to index, clear outputs of Jupyter notebook in docs (#173)

  • Update contributing.md, release.md with all instructions (#176)

  • Add section for setting index and time index to start notebook (#179)

  • Rename changelog to Release Notes (#193)

  • Add section for standard tags to start notebook (#188)

  • Add Understanding Types and Tags user guide (#201)

  • Add missing docstring to list_logical_types (#202)

  • Add Woodwork Global Configuration Options guide (#215)

• Testing Changes

  • Add tests that confirm dtypes are as expected after DataTable init (#152)

  • Remove unused none_df test fixture (#224)

  • Add test for LogicalType.__str__ method (#225)

Thanks to the following people for contributing to this release: @gsheni, @tamargrey, @thehomebrewnerd

v0.0.2 September 28, 2020

• Fixes

  • Fix formatting issue when printing global config variables (#138)

• Changes

  • Change add_standard_tags to use_standard_Tags to better describe behavior (#149)

  • Change access of underlying dataframe to be through to_pandas with ._dataframe field on class (#146)

  • Remove replace_none parameter to DataTables (#146)

• Documentation Changes

  • Add working code example to README and create Using Woodwork page (#103)

Thanks to the following people for contributing to this release: @gsheni, @tamargrey, @thehomebrewnerd

v0.1.0 September 24, 2020

• Add natural_language_threshold global config option used for Categorical/NaturalLanguage type inference (#135)

• Add global config options and add datetime_format option for type inference (#134)

• Fix bug with Integer and WholeNumber inference in column with pd.NA values (#133)

• Add DataTable.ltypes property to return series of logical types (#131)

• Add ability to create new datatable from specified columns with dt[[columns]] (#127)

• Handle setting and tagging of index and time index columns (#125)

• Add combined tag and ltype selection (#124)

• Add changelog, and update changelog check to CI (#123)

• Implement reset_semantic_tags (#118)

• Implement DataTable getitem (#119)

• Add remove_semantic_tags method (#117)

• Add semantic tag selection (#106)

• Add github action, rename to woodwork (#113)

• Add license to setup.py (#112)

• Reset semantic tags on logical type change (#107)

• Add standard numeric and category tags (#100)

• Change semantic_types to semantic_tags, a set of strings (#100)

• Update dataframe dtypes based on logical types (#94)

• Add select_logical_types to DataTable (#96)

• Add pygments to dev-requirements.txt (#97)

• Add replacing None with np.nan in DataTable init (#87)

• Refactor DataColumn to make semantic_types and logical_type private (#86)

• Add pandas_dtype to each Logical Type, and remove dtype attribute on DataColumn (#85)

• Add set_semantic_types methods on both DataTable and DataColumn (#75)

• Support passing camel case or snake case strings for setting logical types (#74)

• Improve flexibility when setting semantic types (#72)

• Add Whole Number Inference of Logical Types (#66)

• Add dtypes property to DataTables and repr for DataColumn (#61)

• Allow specification of semantic types during DataTable creation (#69)

• Implements set_logical_types on DataTable (#65)

• Add init files to tests to fix code coverage (#60)

• Add AutoAssign bot (#59)

• Add logical types validation in DataTables (#49)

• Fix working_directory in CI (#57)

• Add infer_logical_types for DataColumn (#45)

• Fix ReadME library name, and code coverage badge (#56, #56)

• Add code coverage (#51)

• Improve and refactor the validation checks during initialization of a DataTable (#40)

• Add dataframe attribute to DataTable (#39)

• Update ReadME with minor usage details (#37)

• Add License (#34)

• Rename from datatables to data_tables (#4)

• Add Logical Types, DataTable, DataColumn (#3)

• Add Makefile, setup.py, requirements.txt (#2)

• Initial Release (#1)

Thanks to the following people for contributing to this release: @gsheni, @tamargrey, @thehomebrewnerd

woodwork.demo.load_retail