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import pandas as pd import_date_end = pd.to_datetime("2019-01-01") import_date_end - pd.offsets.YearOffset(n=8, normalize=True, month=1)
It's because the YearOffset month is Jan and so is the given month
--------------------------------------------------------------------------- NotImplementedError Traceback (most recent call last) <ipython-input-50-1062b3c9831a> in <module> 1 import_date_end# - pd.offsets.YearOffset(n=8, normalize=True, month=1) ----> 2 pd.to_datetime("2019-01-01") - pd.offsets.YearOffset(n=8, normalize=True, month=1) pandas/_libs/tslibs/offsets.pyx in pandas._libs.tslibs.offsets.BaseOffset.__rsub__() pandas/_libs/tslibs/offsets.pyx in pandas._libs.tslibs.offsets._BaseOffset.__add__() ~\miniconda3\envs\test\lib\site-packages\pandas\tseries\offsets.py in wrapper(self, other) 110 other = other.tz_localize(None) 111 --> 112 result = func(self, other) 113 114 if self._adjust_dst: ~\miniconda3\envs\test\lib\site-packages\pandas\tseries\offsets.py in apply(self, other) 1950 @apply_wraps 1951 def apply(self, other): -> 1952 years = roll_yearday(other, self.n, self.month, self._day_opt) 1953 months = years * 12 + (self.month - other.month) 1954 return shift_month(other, months, self._day_opt) pandas/_libs/tslibs/offsets.pyx in pandas._libs.tslibs.offsets.roll_yearday() pandas/_libs/tslibs/offsets.pyx in pandas._libs.tslibs.offsets.get_day_of_month() NotImplementedError:
Timestamp('2012-01-01 00:00:00')
pd.show_versions()
commit : None python : 3.7.5.final.0 python-bits : 64 OS : Windows OS-release : 10 machine : AMD64 processor : Intel64 Family 6 Model 79 Stepping 1, GenuineIntel byteorder : little LC_ALL : None LANG : None LOCALE : None.None
pandas : 0.25.3 numpy : 1.17.3 pytz : 2019.3 dateutil : 2.8.1 pip : 19.3.1 setuptools : 41.6.0.post20191030 Cython : None pytest : None hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : 1.2.6 lxml.etree : None html5lib : None pymysql : None psycopg2 : None jinja2 : 2.10.3 IPython : 7.9.0 pandas_datareader: None bs4 : None bottleneck : None fastparquet : None gcsfs : None lxml.etree : None matplotlib : None numexpr : None odfpy : None openpyxl : None pandas_gbq : None pyarrow : None pytables : None s3fs : None scipy : None sqlalchemy : None tables : None xarray : None xlrd : 1.2.0 xlwt : None xlsxwriter : 1.2.6
The text was updated successfully, but these errors were encountered:
As the error states, this offset is not implemented.
Additionally in #7706, looks like we intend to eventually make this offset private, so I don't believe this offset is intended to work.
In the meantime, you can try to use DateOffset instead: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.tseries.offsets.DateOffset.html
DateOffset
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Code Sample, a copy-pastable example if possible
Problem description
It's because the YearOffset month is Jan and so is the given month
Expected Output
Timestamp('2012-01-01 00:00:00')
Output of
pd.show_versions()
INSTALLED VERSIONS
commit : None
python : 3.7.5.final.0
python-bits : 64
OS : Windows
OS-release : 10
machine : AMD64
processor : Intel64 Family 6 Model 79 Stepping 1, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : None.None
pandas : 0.25.3
numpy : 1.17.3
pytz : 2019.3
dateutil : 2.8.1
pip : 19.3.1
setuptools : 41.6.0.post20191030
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : 1.2.6
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 2.10.3
IPython : 7.9.0
pandas_datareader: None
bs4 : None
bottleneck : None
fastparquet : None
gcsfs : None
lxml.etree : None
matplotlib : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pytables : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
xarray : None
xlrd : 1.2.0
xlwt : None
xlsxwriter : 1.2.6
The text was updated successfully, but these errors were encountered: