Bugfix/1463 Pandas 2.2.0 FutureWarning resolution by using assignment instead of …

[derinwalters]

From #1463

Minor update to replace inplace fillna of default values with an assignment, as per FutureWarning from Pandas 2.2.0.

Please note I encountered the two issues below that existed on the master branch prior to any edits. Otherwise, all is clean.

1. "pre-commit run --all" has one mypy typing error that looks like it could be a real issue where a series is returned from category dtype check rather than bool.

pandera/engines/pandas_engine.py:1407: error: Incompatible return value type (got "Union[Series[Any], DataFrame]", expected "Union[bool, Iterable[bool]]")  [return-value]
pandera/engines/pandas_engine.py:1407: note: Error code "return-value" not covered by "type: ignore" comment

2. pytest has one fail related to Pandas grouping that I didn't fully understand the cause of.

FAILED tests/core/test_checks.py::test_check_groups - pandera.errors.SchemaError: Error while executing check function: KeyError("foo")

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Comparison is base (4df61da) 94.29% compared to head (a252248) 94.29%.

Additional details and impacted files

@@           Coverage Diff           @@
##             main    #1464   +/-   ##
=======================================
  Coverage   94.29%   94.29%           
=======================================
  Files          91       91           
  Lines        7024     7024           
=======================================
  Hits         6623     6623           
  Misses        401      401           

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[derinwalters]

@cosmicBboy Do you have any knowledge of the two issues with master branch that I mentioned above? Looks like all pull requests from the past three weeks are running into the same linter issue at least.

[cosmicBboy]

@derinwalters lemme check

[cosmicBboy]

@derinwalters do you mind rebasing on main? Just merged #1468

[derinwalters]

@cosmicBboy green means go. Thanks for the assist!

[cosmicBboy]

thanks @derinwalters! 🚀