Issues
- 0
Adding Type Hinting to Chispa public API
#99 opened by zeotuan - 2
Use eqNullSafe instead of collect
#8 opened by rragundez - 4
Handle nested nullability
#44 opened by machielg - 1
- 0
- 2
Give user control to customize output formatting
#75 opened by MrPowers - 0
chispa 1.0 release
#93 opened by MrPowers - 1
- 0
Unit testing the code with Spark Connect
#87 opened by MrPowers - 2
- 0
assert None while ignore_metadata=True
#84 opened by w-modzo - 1
- 0
Unit tests are only run against a single version of Python on the `main` branch.
#82 opened by fpgmaas - 4
Issues on Python 3.10 due to six 1.15.0
#78 opened by fpgmaas - 6
ignore_schema in assert_df_equality removed in 9.3?
#69 opened by Hiderdk - 3
assert_df_equality throws SchemasNotEqualError when the dataframes are identical (except for the metadata)
#70 opened by fedemgp - 0
- 0
- 1
- 5
Refactor code to conform to PEP8
#65 opened by calum-mcg - 5
Run tests for multiple PySpark versions in CI
#61 opened by MrPowers - 1
- 1
- 0
Highlight mismatching values
#52 opened by richardwmcgovern - 0
Reconfigure CI to run tests on pull requests
#60 opened by MrPowers - 17
- 1
Fix the badges in the project README
#53 opened by MrPowers - 1
- 2
Flatten dataframe
#47 opened by bjornjorgensen - 1
- 1
Add parameter to enable DataFramesNotEqualError to be raised without printing the differences between the two dataframes
#43 opened by slavyolov - 3
- 2
- 0
- 4
Dataframe equality ignoring schema
#31 opened by arunvelsriram - 0
Output less code in error messages
#15 opened by MrPowers - 2
- 6
- 3
- 1
Adapt "ignore_nullable" parameter to handle data types within Arrays
#25 opened by mitches-got-glitches - 1
- 1
- 3
Allow to compare df ignoring the order
#10 opened by azachar - 0
Mutable default arguments in Python (like `[]`) are slightly dangerous. If you mutate `transforms` inside this function, the mutations will persist to the next call of the function.
#17 opened by MrPowers - 0
Restructure assert_df_equality so that `if allow_nan_equality` is checked on specific row comparisons
#18 opened by MrPowers - 4
assert_df_equality fails when comparing nan values
#14 opened by melsyt - 2
Python 2.7 Compability
#7 opened by sparkheo7 - 4
Remove the hard dependency on the pyspark
#6 opened by alexott - 2
Trying to use Chispa in a new environment with Spark 2.4 and it installs Spark 3.0. Can this behaviour be made optional or does Chispa definitely need 3.0?
#3 opened by diogomrks