Releases
v0.7.1
v.0.7.1
Added documentation/tutorials/videos for onboarding and new profiling and documentation features
Added prescriptive documentation built from expectation suites
Improved index, layout, and navigation of data context HTML documentation site
Bug fix: non-Python files were not included in the package
Improved the rendering logic to gracefully deal with failed expectations
Improved the basic dataset profiler to be more resilient
Implement expect_column_values_to_be_of_type, expect_column_values_to_be_in_type_list for SparkDFDataset
Updated CLI with a new documentation command and improved profile and render commands
Expectation suites and validation results within a data context are saved in a more readable form (with indentation)
Improved compatibility between SparkDatasource and InMemoryGenerator
Optimization for Pandas column type checking
Optimization for Spark duplicate value expectation (thanks @orenovadia !)
Default run_id format no longer includes ":" and specifies UTC time
Other internal improvements and bug fixes
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