Description
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I have checked that this issue has not already been reported.
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I have confirmed this bug exists on the latest version of pandas.
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(optional) I have confirmed this bug exists on the master branch of pandas.
Code Sample, a copy-pastable example
# Returns an empty Series/DataFrame when the one you pass in has length > 1 and an index with only one unique value
x = pd.Series(0, index=pd.date_range('2021-06-29', '2021-06-29')).repeat(5)
x.truncate('2021-06-28', '2021-07-01')
# If you add another unique index value, you get the expected behavior
x = pd.Series(0, index=pd.date_range('2021-06-29', '2021-06-29')).repeat(5)
y = pd.Series(0, index=pd.date_range('2021-06-01', '2021-06-01'))
x = x.append(y)
x.truncate('2021-06-28', '2021-07-01')Problem description
I would expect truncate to not do any filtering in the first case given that all index values are between before and after. The fix is trivial, so I'll submit a PR.
Expected Output
2021-06-29 0
2021-06-29 0
2021-06-29 0
2021-06-29 0
2021-06-29 0
Output of pd.show_versions()
INSTALLED VERSIONS
commit : 7c48ff4
python : 3.9.5.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.19043
machine : AMD64
processor : Intel64 Family 6 Model 142 Stepping 10, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : English_United States.1252
pandas : 1.2.5
numpy : 1.20.2
pytz : 2021.1
dateutil : 2.8.1
pip : 21.1.3
setuptools : 52.0.0.post20210125
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.0.1
IPython : 7.22.0
pandas_datareader: None
bs4 : None
bottleneck : 1.3.2
fsspec : None
fastparquet : None
gcsfs : None
matplotlib : None
numexpr : 2.7.3
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
numba : None