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TYP: selection and groups type-hinting in groupby #36643
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pandas/core/groupby/grouper.py
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@@ -600,7 +600,7 @@ def _make_codes(self) -> None: | |||
self._group_index = uniques | |||
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@cache_readonly | |||
def groups(self) -> Dict[Hashable, np.ndarray]: | |||
def groups(self) -> PrettyDict[Hashable, np.ndarray]: |
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I think this should just be Dict
- while literally correct we type our API with as permissive of a type as possible for arguments, so I think should do the same on return values as well
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Agreed on arguments, especially for user-facing methods. But does that also apply to a return, where the result is known to be a PrettyDict? In general I try to be as specific with types as possible; the more specific one can be the more issues mypy can check. I also find the specificity helps with readability.
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The problem arises when users start using the return type in their own type checking, particularly when things are invariant. For all practical purposes (outside of the repr) this returns a Dict, so I think better downstream to label as such
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Thanks for the explanation, makes sense. To add to your reasons, I think PrettyDict is also not a public part of the public API. With this, it also shouldn't be leaked out via type-hints.
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Lgtm @simonjayhawkins
can you rebase and ping on green. |
…sc_groupby_typing � Conflicts: � pandas/core/base.py
…sc_groupby_typing
/azp run |
Azure Pipelines successfully started running 1 pipeline(s). |
@jreback green |
* TYP: selection and groups type-hinting in groupby * PrettyDict -> Dict * Cleanup from merge
black pandas
git diff upstream/master -u -- "*.py" | flake8 --diff