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