Comments (1)
This was added, among other useful DataFrame comparison options.
from chispa.
Related Issues (20)
- Possibly set row comparison to true by default for DataFrame comparisons
- Make it easier for conda devs to setup virtual env to work on this project
- Implement all the DataFrame comparison options for approx comparisons as well HOT 1
- Adapt "ignore_nullable" parameter to handle data types within Arrays HOT 1
- Add support for NaN equality within Arrays HOT 2
- Add allow_nan_equality option to assert_approx_df_equality HOT 3
- Dataframe equality ignoring schema HOT 4
- Implement ingore_nullability for structtypes HOT 2
- SchemasNotEqualError not show more columns in one shcema HOT 1
- DataFramesNotEqualError when dataframes appear identical HOT 6
- `ignore_column_order` param for `assert_approx_df_equality` function HOT 3
- Add parameter to enable DataFramesNotEqualError to be raised without printing the differences between the two dataframes HOT 1
- Handle nested nullability HOT 3
- Flatten dataframe HOT 2
- Highlight mismatching values
- Fix the badges in the project README HOT 1
- The it_does_not_throw_with_different_schema test exposes a bug HOT 17
- pkg_resources is deprecated, prettytable produces warning HOT 1
- Reconfigure CI to run tests on pull requests
- Run tests for multiple PySpark versions in CI HOT 5
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from chispa.