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BUG: REF: Groupby refactor #46754

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Merged
merged 5 commits into from
Apr 19, 2022
Merged

BUG: REF: Groupby refactor #46754

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f1ec0e5
TYP: Add Literal annotations to TimeGrouper
NickCrews Mar 7, 2022
f9cdbc6
TYP: Fix annotation of Grouper._set_grouper
NickCrews Mar 7, 2022
3249b43
BUG: Include "dropna" in Grouper._attributes
NickCrews Mar 7, 2022
dcdb7c7
Fixup: Move whatsnew note to the right release
NickCrews Apr 17, 2022
d1bf60a
Merge branch 'main' into groupby-refactor
NickCrews Apr 18, 2022
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2 changes: 1 addition & 1 deletion doc/source/whatsnew/v1.4.3.rst
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Expand Up @@ -24,7 +24,7 @@ Fixed regressions

Bug fixes
~~~~~~~~~
-
- Include ``dropna`` in ``__repr__`` of a :class:`Grouper` (:issue:`46754`)
-

.. ---------------------------------------------------------------------------
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7 changes: 3 additions & 4 deletions pandas/core/groupby/grouper.py
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Expand Up @@ -263,7 +263,7 @@ class Grouper:
_gpr_index: Index | None
_grouper: Index | None

_attributes: tuple[str, ...] = ("key", "level", "freq", "axis", "sort")
_attributes: tuple[str, ...] = ("key", "level", "freq", "axis", "sort", "dropna")

def __new__(cls, *args, **kwargs):
if kwargs.get("freq") is not None:
Expand All @@ -287,6 +287,7 @@ def __init__(
self.freq = freq
self.axis = axis
self.sort = sort
self.dropna = dropna

self.grouper = None
self._gpr_index = None
Expand All @@ -295,7 +296,6 @@ def __init__(
self.binner = None
self._grouper = None
self._indexer = None
self.dropna = dropna

@final
@property
Expand Down Expand Up @@ -339,7 +339,7 @@ def _get_grouper(
return self.binner, self.grouper, self.obj # type: ignore[return-value]

@final
def _set_grouper(self, obj: NDFrame, sort: bool = False):
def _set_grouper(self, obj: NDFrame, sort: bool = False) -> None:
"""
given an object and the specifications, setup the internal grouper
for this particular specification
Expand Down Expand Up @@ -413,7 +413,6 @@ def _set_grouper(self, obj: NDFrame, sort: bool = False):
# "NDFrameT", variable has type "None")
self.obj = obj # type: ignore[assignment]
self._gpr_index = ax
return self._gpr_index
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This seems okay to me; the result of this method is indeed never used and it looks cleaner to not have a return. cc @jbrockmendel

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Thanks for the review @rhshadrach! FYI we talked about this a bit at #46258 (comment) if you want a bit more context

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Marking as resolved, since I'm worried the "changes requested" label might be keeping this out of your queue.

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I don't think it being resolved or not changes its appearance in e.g. pandas/pulls or the GitHub notifications (not sure what else you might mean by queue here).

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That is what I meant (maybe you had filters for what to review next), but good to know. Thanks!


@final
@property
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9 changes: 3 additions & 6 deletions pandas/core/resample.py
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Expand Up @@ -1470,14 +1470,14 @@ def __init__(
self,
freq="Min",
closed: Literal["left", "right"] | None = None,
label: str | None = None,
label: Literal["left", "right"] | None = None,
how="mean",
axis=0,
fill_method=None,
limit=None,
loffset=None,
kind: str | None = None,
convention: str | None = None,
convention: Literal["start", "end", "e", "s"] | None = None,
base: int | None = None,
origin: str | TimestampConvertibleTypes = "start_day",
offset: TimedeltaConvertibleTypes | None = None,
Expand Down Expand Up @@ -1523,10 +1523,7 @@ def __init__(
self.closed = closed
self.label = label
self.kind = kind

self.convention = convention or "E"
self.convention = self.convention.lower()

self.convention = convention if convention is not None else "e"
self.how = how
self.fill_method = fill_method
self.limit = limit
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2 changes: 1 addition & 1 deletion pandas/tests/groupby/test_groupby.py
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Expand Up @@ -31,7 +31,7 @@
def test_repr():
# GH18203
result = repr(Grouper(key="A", level="B"))
expected = "Grouper(key='A', level='B', axis=0, sort=False)"
expected = "Grouper(key='A', level='B', axis=0, sort=False, dropna=True)"
assert result == expected


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4 changes: 2 additions & 2 deletions pandas/tests/resample/test_time_grouper.py
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Expand Up @@ -266,15 +266,15 @@ def test_repr():
# GH18203
result = repr(Grouper(key="A", freq="H"))
expected = (
"TimeGrouper(key='A', freq=<Hour>, axis=0, sort=True, "
"TimeGrouper(key='A', freq=<Hour>, axis=0, sort=True, dropna=True, "
"closed='left', label='left', how='mean', "
"convention='e', origin='start_day')"
)
assert result == expected

result = repr(Grouper(key="A", freq="H", origin="2000-01-01"))
expected = (
"TimeGrouper(key='A', freq=<Hour>, axis=0, sort=True, "
"TimeGrouper(key='A', freq=<Hour>, axis=0, sort=True, dropna=True, "
"closed='left', label='left', how='mean', "
"convention='e', origin=Timestamp('2000-01-01 00:00:00'))"
)
Expand Down