@@ -1813,8 +1813,6 @@ def _resampler_for_grouping(self) -> type[DatetimeIndexResamplerGroupby]:
18131813
18141814 def _get_binner_for_time (self ):
18151815 # this is how we are actually creating the bins
1816- if isinstance (self .ax , PeriodIndex ):
1817- return self ._timegrouper ._get_time_period_bins (self .ax )
18181816 return self ._timegrouper ._get_time_bins (self .ax )
18191817
18201818 def _downsample (self , how , ** kwargs ):
@@ -1838,17 +1836,6 @@ def _downsample(self, how, **kwargs):
18381836 assert obj .index .freq == self .freq , (obj .index .freq , self .freq )
18391837 return obj
18401838
1841- # do we have a regular frequency
1842- 1843- # error: Item "None" of "Optional[Any]" has no attribute "binlabels"
1844- if (
1845- (ax .freq is not None or ax .inferred_freq is not None )
1846- and len (self ._grouper .binlabels ) > len (ax )
1847- and how is None
1848- ):
1849- # let's do an asfreq
1850- return self .asfreq ()
1851- 18521839 # we are downsampling
18531840 # we want to call the actual grouper method here
18541841 result = obj .groupby (self ._grouper ).aggregate (how , ** kwargs )
@@ -1955,8 +1942,6 @@ def _resampler_for_grouping(self):
19551942 return PeriodIndexResamplerGroupby
19561943
19571944 def _get_binner_for_time (self ):
1958- if isinstance (self .ax , DatetimeIndex ):
1959- return super ()._get_binner_for_time ()
19601945 return self ._timegrouper ._get_period_bins (self .ax )
19611946
19621947 def _convert_obj (self , obj : NDFrameT ) -> NDFrameT :
@@ -1971,10 +1956,6 @@ def _convert_obj(self, obj: NDFrameT) -> NDFrameT:
19711956 )
19721957 raise NotImplementedError (msg )
19731958
1974- # convert to timestamp
1975- if isinstance (obj , DatetimeIndex ):
1976- obj = obj .to_timestamp (how = self .convention )
1977- 19781959 return obj
19791960
19801961 def _downsample (self , how , ** kwargs ):
@@ -1986,10 +1967,6 @@ def _downsample(self, how, **kwargs):
19861967 how : string / cython mapped function
19871968 **kwargs : kw args passed to how function
19881969 """
1989- # we may need to actually resample as if we are timestamps
1990- if isinstance (self .ax , DatetimeIndex ):
1991- return super ()._downsample (how , ** kwargs )
1992- 19931970 ax = self .ax
19941971
19951972 if is_subperiod (ax .freq , self .freq ):
@@ -2023,10 +2000,6 @@ def _upsample(self, method, limit: int | None = None, fill_value=None):
20232000 fill_value : scalar, default None
20242001 Value to use for missing values.
20252002 """
2026- # we may need to actually resample as if we are timestamps
2027- if isinstance (self .ax , DatetimeIndex ):
2028- return super ()._upsample (method , limit = limit , fill_value = fill_value )
2029- 20302003 ax = self .ax
20312004 obj = self .obj
20322005 new_index = self .binner
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