Pandas version checks
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[X] I have checked that this issue has not already been reported.
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[X] I have confirmed this bug exists on the latest version of pandas.
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[X] I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
idx = pd.date_range('0300-01-01', '2000-01-01', unit='s')
ser = Series(np.ones(len(idx)), index=idx)
ser.resample('299Y').mean() # works
ser.resample('300Y').mean() # fails
# NOTE: this requires https://github.com/pandas-dev/pandas/pull/51274 to have gone in first, else they both fail
Issue Description
fails with:
Traceback (most recent call last):
File "t.py", line 17, in <module>
print(ser.resample('300Y').mean())
File "/home/marcogorelli/pandas-dev/pandas/core/series.py", line 5671, in resample
return super().resample(
File "/home/marcogorelli/pandas-dev/pandas/core/generic.py", line 8872, in resample
return get_resampler(
File "/home/marcogorelli/pandas-dev/pandas/core/resample.py", line 1518, in get_resampler
return tg._get_resampler(obj, kind=kind)
File "/home/marcogorelli/pandas-dev/pandas/core/resample.py", line 1682, in _get_resampler
return DatetimeIndexResampler(
File "/home/marcogorelli/pandas-dev/pandas/core/resample.py", line 171, in __init__
self.binner, self.grouper = self._get_binner()
File "/home/marcogorelli/pandas-dev/pandas/core/resample.py", line 233, in _get_binner
binner, bins, binlabels = self._get_binner_for_time()
File "/home/marcogorelli/pandas-dev/pandas/core/resample.py", line 1252, in _get_binner_for_time
return self._timegrouper._get_time_bins(self.ax)
File "/home/marcogorelli/pandas-dev/pandas/core/resample.py", line 1732, in _get_time_bins
first, last = _get_timestamp_range_edges(
File "/home/marcogorelli/pandas-dev/pandas/core/resample.py", line 2035, in _get_timestamp_range_edges
first = Timestamp(first - freq)
File "pandas/_libs/tslibs/offsets.pyx", line 504, in pandas._libs.tslibs.offsets.BaseOffset.__sub__
return (-other).__add__(self)
File "pandas/_libs/tslibs/offsets.pyx", line 488, in pandas._libs.tslibs.offsets.BaseOffset.__add__
return self._apply(other)
File "pandas/_libs/tslibs/offsets.pyx", line 163, in pandas._libs.tslibs.offsets.apply_wraps.wrapper
result = func(self, other)
File "pandas/_libs/tslibs/offsets.pyx", line 2225, in pandas._libs.tslibs.offsets.YearOffset._apply
return shift_month(other, months, self._day_opt)
File "pandas/_libs/tslibs/offsets.pyx", line 4449, in pandas._libs.tslibs.offsets.shift_month
return stamp.replace(year=year, month=month, day=day)
File "pandas/_libs/tslibs/timestamps.pyx", line 2277, in pandas._libs.tslibs.timestamps.Timestamp.replace
ts_input = datetime(**kwargs)
ValueError: year 0 is out of range
Expected Behavior
both should work
Installed Versions
INSTALLED VERSIONS
------------------
commit : 21899b63d503186b506317e00778f7d82dea5452
python : 3.8.16.final.0
python-bits : 64
OS : Linux
OS-release : 5.10.102.1-microsoft-standard-WSL2
Version : #1 SMP Wed Mar 2 00:30:59 UTC 2022
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_GB.UTF-8
LOCALE : en_GB.UTF-8
pandas : 2.0.0.dev0+1498.g21899b63d5
numpy : 1.23.5
pytz : 2022.7.1
dateutil : 2.8.2
setuptools : 66.1.1
pip : 22.3.1
Cython : 0.29.32
pytest : 7.2.1
hypothesis : 6.64.0
sphinx : 5.3.0
blosc : 1.11.1
feather : None
xlsxwriter : 3.0.7
lxml.etree : 4.9.2
html5lib : 1.1
pymysql : 1.0.2
psycopg2 : 2.9.5
jinja2 : 3.1.2
IPython : 8.8.0
pandas_datareader: None
bs4 : 4.11.1
bottleneck : 1.3.6
brotli :
fastparquet : 2023.1.0
fsspec : 2022.11.0
gcsfs : 2022.11.0
matplotlib : 3.6.3
numba : 0.56.4
numexpr : 2.8.4
odfpy : None
openpyxl : 3.0.10
pandas_gbq : None
pyarrow : 10.0.1
pyreadstat : 1.2.0
pyxlsb : 1.0.10
s3fs : 2022.11.0
scipy : 1.10.0
snappy :
sqlalchemy : 1.4.45
tables : 3.8.0
tabulate : 0.9.0
xarray : 2023.1.0
xlrd : 2.0.1
zstandard : 0.19.0
tzdata : 2022.7
qtpy : None
pyqt5 : None
None
Comment From: MarcoGorelli
It's because the Python standard library's datetime is limited to years between 1 and 9999, and that's what we go through here:
https://github.com/pandas-dev/pandas/blob/b37321c7e02afba37bbef855a9096abe8771f569/pandas/_libs/tslibs/timestamps.pyx#L2263-L2277
Comment From: MarcoGorelli
simpler reproducer:
In [3]: Timestamp('0300-01-01').replace(year=0)
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Cell In[3], line 1
----> 1 Timestamp('0300-01-01').replace(year=0)
File ~/pandas-dev/pandas/_libs/tslibs/timestamps.pyx:2277, in pandas._libs.tslibs.timestamps.Timestamp.replace()
2275 "microsecond": dts.us, "tzinfo": tzobj,
2276 "fold": fold}
-> 2277 ts_input = datetime(**kwargs)
2278
2279 ts = convert_datetime_to_tsobject(
ValueError: year 0 is out of range
Comment From: MarcoGorelli
this was fixed in https://github.com/pandas-dev/pandas/pull/50348