Comments (5)
@MrPowers - happy to create a stab at this and put in a PR. Let me know if it would be useful
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@calum-mcg - yea, can you please open a PR. Here's my preferred setup:
- black code formatting
- CI checks to verify the code follows black (but doesn't actually modify the code)
- Ruff linting
What do you think?
from chispa.
@MrPowers - looks good, comments:
- black code formatting
Yeah that works, it's PEP8 by default ✅
- CI checks ..
Great idea. We could add a step for running black formatter in GH actions. Failing on an error.
- Ruff linting
Do we need this if using Black Code Formatter? Not used it before
Once I have a PR up, may need some support on docstrings etc.
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Great. thank you!
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Related Issues (20)
- 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
- Font colors in error messages are bad in some terminals HOT 1
- ignore_schema in assert_df_equality removed in 9.3? HOT 6
- assert_df_equality throws SchemasNotEqualError when the dataframes are identical (except for the metadata) HOT 3
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