Datatest version 0.9.6 is now available. Datatest helps speed up and formalize data-wrangling and data validation tasks. It repurposes software testing practices for data preparation and quality assurance projects. * Docs - https://datatest.readthedocs.io/ * PyPI - https://pypi.org/project/datatest/ * Devel - https://github.com/shawnbrown/datatest Upgrade an existing installation: pip install --upgrade datatest What's New in Datatest 0.9.6: * Cleaned up the acceptance API to make it both less verbose and more expressive: * Consolidated specific-instance and class-based acceptances into a single interface. * Added a new accepted.tolerance() method that subsumes the behavior of accepted.deviation() by supporting Missing and Extra quantities in addition to Deviation objects. * Deprecated old methods: ======================= ================================== Old Syntax New Syntax ======================= ================================== accepted.specific(...) accepted(...) accepted.missing() accepted(Missing) accepted.extra() accepted(Extra) *NO EQUIVALENT* accepted(CustomDifferenceClass) accepted.deviation(...) accepted.tolerance(...) accepted.limit(...) accepted.count(...) *NO EQUIVALENT* accepted.count(..., scope='group') ======================= ================================== Other methods--accepted.args(), accepted.keys(), etc.--remain unchanged. * Changed validation to generate Deviation objects for a broader definition of quantitative values (like datetime objects)--not just for subclasses of numbers.Number. * Changed handling for pandas.Series objects to treat them as sequences instead of mappings. * Added handling for DBAPI2 cursor objects to automatically unwrap single-value rows. * Removed acceptance classes from datatest namespace--these were inadvertently added in a previous version but were never part of the documented API. They can still be referenced via the `acceptances` module: from datatest.acceptances import ...