v0.11.1

v0.11.1 Jan 4, 2022

• Changes
  • Update inference process to only check for NaturalLanguage if no other type matches are found first (#1234)
• Documentation Changes
  • Updating contributing doc with Spark installation instructions (#1232)
• Testing Changes
  • Enable auto-merge for minimum and latest dependency merge requests (#1228, #1230, #1233)

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

v0.11.0

v0.11.0 Dec 22, 2021

• Enhancements
  • Add type inference for natural language (#1210)
• Changes
  • Make public method get_subset_schema (#1218)

Thanks to the following people for contributing to this release:
@jeff-hernandez, @thehomebrewnerd, @tuethan1999

v0.10.0

v0.10.0 Nov 30, 2020

• Enhancements
  • Allow frequency inference on temporal (Datetime, Timedelta) columns of Woodwork DataFrame (#1202)
  • Update describe_dict to compute top_values for double columns that contain only integer values (#1206)
• Changes
  • Return histogram bins as a list of floats instead of a pandas.Interval object (#1207)

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

v0.9.1

v0.9.1 Nov 19, 2021

• Fixes
  • Fix bug that causes mutual_information to fail with certain index types (#1199)
• Changes
  • Update pip to 21.3.1 for test requirements (#1196)
• Documentation Changes
  • Update install page with updated minimum optional dependencies (#1193)

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

v0.9.0

v0.9.0 Nov 11, 2021

• Enhancements
  • Added read_file parameter for replacing empty string values with NaN values (#1161)
• Fixes
  • Set a maximum version for pyspark until we understand why :pr:1169 failed (#1179)
  • Require newer dask version (#1180)
• Changes
  • Make box plot low/high indices/values optional to return in box_plot_dict (#1184)
• Documentation Changes
  • Update docs dependencies (#1176)
• Testing Changes
  • Add black linting package and remove autopep8 (#1164, #1183)
  • Updated notebook standardizer to standardize python versions (#1166)

Thanks to the following people for contributing to this release:
@bchen1116, @davesque, @gsheni, @rwedge, @tamargrey, @thehomebrewnerd

v0.8.2

v0.8.2 Oct 12, 2021

• Fixes
  • Fixed an issue when inferring the format of datetime strings with day of week or meridiem placeholders (#1158)
  • Implements change in Datetime.transform to prevent initialization failure in some cases (#1162)
• Testing Changes
  • Update reviewers for minimum and latest dependency checkers (#1150)
  • Added notebook standardizer to remove executed outputs (#1153)

Thanks to the following people for contributing to this release:
@bchen1116, @davesque, @jeff-hernandez, @thehomebrewnerd

v0.8.1

v0.8.1 Sep 16, 2021

• Changes
  • Update Datetime.transform to use default nrows value when calling _infer_datetime_format (#1137)
• Documentation Changes
  • Hide spark config in Using Dask and Koalas Guide (#1139)

Thanks to the following people for contributing to this release:
@jeff-hernandez, @simha104, @thehomebrewnerd

v0.8.0

• Enhancements
  • Add support for automatically inferring the URL and IPAddress logical types (#1122, #1124)
  • Add get_valid_mi_columns method to list columns that have valid logical types for mutual information calculation (#1129)
  • Add attribute to check if column has a nullable logical type (#1127)
• Changes
  • Update get_invalid_schema_message to improve performance (#1132)
• Documentation Changes
  • Fix typo in the "Get Started" documentation (#1126)
  • Clean up the logical types guide (#1134)

Thanks to the following people for contributing to this release:
@ajaypallekonda, @davesque, @jeff-hernandez, @thehomebrewnerd

v0.7.1

v0.7.1 Aug 25, 2021

• Fixes
  • Validate schema's index if being used in partial schema init (#1115)
  • Allow falsy index, time index, and name values to be set along with partial schema at init (#1115)

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

v0.7.0

v0.7.0 Aug 25, 2021

• Enhancements
  • Add 'passthrough' and 'ignore' to tags in list_semantic_tags (#1094)
  • Add initialize with partial table schema (#1100)
  • Apply ordering specified by the Ordinal logical type to underlying series (#1097)
  • Add AgeFractional logical type (#1112)

Thanks to the following people for contributing to this release:
@davesque, @jeff-hernandez, @tamargrey, @tuethan1999

Breaking Changes

• #1100:
  The behavior for init has changed. A full schema is a
  schema that contains all of the columns of the dataframe it describes
  whereas a partial schema only contains a subset. A full schema will also
  require that the schema is valid without having to make any changes to
  the DataFrame. Before, only a full schema was permitted by the init
  method so passing a partial schema would error. Additionally, any
  parameters like logical_types would be ignored if passing in a schema.
  Now, passing a partial schema to the init method calls the
  init_with_partial_schema method instead of throwing an error.
  Information from keyword arguments will override information from the
  partial schema. For example, if column a has the Integer Logical Type
  in the partial schema, it's possible to use the logical_type argument
  to reinfer it's logical type by passing {'a': None} or force a type by
  passing in {'a': Double}. These changes mean that Woodwork init is less
  restrictive. If no type inference takes place and no changes are required
  of the DataFrame at initialization, init_with_full_schema should be
  used instead of init. init_with_full_schema maintains the same
  functionality as when a schema was passed to the old init.