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I have checked that this issue has not already been reported.
I have confirmed this bug exists on the latest version of pandas.
I have confirmed this bug exists on the main branch of pandas.
import pandas as pd from pandas import Timestamp df = pd.DataFrame.from_dict({Timestamp('2022-03-31 01:00:00'): 1}, orient="index") df.index = df.index.astype("timestamp[ns][pyarrow]") df.resample("1min").mean()
Using resample with timestamp[ns][pyarrow] returns a TypeError
--------------------------------------------------------------------------- TypeError Traceback (most recent call last) Cell In[3], line 5 3 df = pd.DataFrame.from_dict({Timestamp('2022-03-31 01:00:00'): 1}, orient="index") 4 df.index = df.index.astype("timestamp[ns][pyarrow]") ----> 5 df.resample("1min").mean() File ~\AppData\Local\pypoetry\Cache\virtualenvs\\lib\site-packages\pandas\core\generic.py:9439, in NDFrame.resample(self, rule, axis, closed, label, convention, kind, on, level, origin, offset, group_keys) 9436 else: 9437 axis = 0 -> 9439 return get_resampler( 9440 cast("Series | DataFrame", self), 9441 freq=rule, 9442 label=label, 9443 closed=closed, 9444 axis=axis, 9445 kind=kind, 9446 convention=convention, 9447 key=on, 9448 level=level, 9449 origin=origin, 9450 offset=offset, 9451 group_keys=group_keys, 9452 ) File ~\AppData\Local\pypoetry\Cache\virtualenvs\\lib\site-packages\pandas\core\resample.py:1970, in get_resampler(obj, kind, **kwds) 1966 """ 1967 Create a TimeGrouper and return our resampler. 1968 """ 1969 tg = TimeGrouper(**kwds) -> 1970 return tg._get_resampler(obj, kind=kind) File ~\AppData\Local\pypoetry\Cache\virtualenvs\\lib\site-packages\pandas\core\resample.py:2160, in TimeGrouper._get_resampler(self, obj, kind) 2151 elif isinstance(ax, TimedeltaIndex): 2152 return TimedeltaIndexResampler( 2153 obj, 2154 timegrouper=self, (...) 2157 gpr_index=ax, 2158 ) -> 2160 raise TypeError( 2161 "Only valid with DatetimeIndex, " 2162 "TimedeltaIndex or PeriodIndex, " 2163 f"but got an instance of '{type(ax).__name__}'" 2164 ) TypeError: Only valid with DatetimeIndex, TimedeltaIndex or PeriodIndex, but got an instance of 'Index'
Commenting out the conversion to timestamp[ns][pyarrow] produces the expected behaviour.
import pandas as pd from pandas import Timestamp df = pd.DataFrame.from_dict({Timestamp('2022-03-31 01:00:00'): 1}, orient="index") #df.index = df.index.astype("timestamp[ns][pyarrow]") df.resample("1min").mean()
commit : 2a953cf python : 3.10.4.final.0 python-bits : 64 OS : Windows OS-release : 10 Version : 10.0.22621 machine : AMD64 processor : Intel64 Family 6 Model 165 Stepping 2, GenuineIntel byteorder : little LC_ALL : None LANG : None LOCALE : English_United Kingdom.1252
pandas : 2.1.3 numpy : 1.24.2 pytz : 2023.3 dateutil : 2.8.2 setuptools : 67.6.1 pip : 23.2 Cython : 3.0.2 pytest : 7.3.0 hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : None html5lib : None pymysql : None psycopg2 : None jinja2 : 3.1.2 IPython : 8.12.0 pandas_datareader : None bs4 : 4.12.2 bottleneck : None dataframe-api-compat: None fastparquet : None fsspec : 2023.10.0 gcsfs : None matplotlib : 3.7.3 numba : 0.57.1 numexpr : None odfpy : None openpyxl : None pandas_gbq : None pyarrow : 13.0.0 pyreadstat : None pyxlsb : None s3fs : None scipy : 1.10.1 sqlalchemy : 2.0.23 tables : None tabulate : 0.9.0 xarray : 2023.8.0 xlrd : None zstandard : None tzdata : 2023.3 qtpy : None pyqt5 : None
The text was updated successfully, but these errors were encountered:
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Pandas version checks
I have checked that this issue has not already been reported.
I have confirmed this bug exists on the latest version of pandas.
I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
Issue Description
Using resample with timestamp[ns][pyarrow] returns a TypeError
Expected Behavior
Commenting out the conversion to timestamp[ns][pyarrow] produces the expected behaviour.
Installed Versions
INSTALLED VERSIONS
commit : 2a953cf
python : 3.10.4.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.22621
machine : AMD64
processor : Intel64 Family 6 Model 165 Stepping 2, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : English_United Kingdom.1252
pandas : 2.1.3
numpy : 1.24.2
pytz : 2023.3
dateutil : 2.8.2
setuptools : 67.6.1
pip : 23.2
Cython : 3.0.2
pytest : 7.3.0
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.12.0
pandas_datareader : None
bs4 : 4.12.2
bottleneck : None
dataframe-api-compat: None
fastparquet : None
fsspec : 2023.10.0
gcsfs : None
matplotlib : 3.7.3
numba : 0.57.1
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 13.0.0
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.10.1
sqlalchemy : 2.0.23
tables : None
tabulate : 0.9.0
xarray : 2023.8.0
xlrd : None
zstandard : None
tzdata : 2023.3
qtpy : None
pyqt5 : None
The text was updated successfully, but these errors were encountered: