Description
Pandas version checks
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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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I have confirmed this bug exists on the master branch of pandas.
Reproducible Example
#44955 broke some things with greater comparisons. We should fix them before 1.4 is released or revert here.
s = pd.arrays.SparseArray([1, 2, 3, 4, np.nan, np.nan], fill_value=np.nan)
s[s>2]Issue Description
This returns
[1.0, 2.0, 3.0, 4.0]
Fill: nan
IntIndex
Indices: array([0, 1, 2, 3], dtype=int32)
Expected Behavior
This returned
[3.0, 4.0]
Fill: nan
IntIndex
Indices: array([0, 1], dtype=int32)
before which was correct.
Installed Versions
INSTALLED VERSIONS
commit : a51cd10
python : 3.8.12.final.0
python-bits : 64
OS : Linux
OS-release : 5.11.0-43-generic
Version : #47~20.04.2-Ubuntu SMP Mon Dec 13 11:06:56 UTC 2021
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.4.0.dev0+1516.ga51cd1053e
numpy : 1.21.5
pytz : 2021.1
dateutil : 2.8.2
pip : 21.3.1
setuptools : 59.8.0
Cython : 0.29.24
pytest : 6.2.5
hypothesis : 6.23.1
sphinx : 4.2.0
blosc : None
feather : None
xlsxwriter : 3.0.1
lxml.etree : 4.6.3
html5lib : 1.1
pymysql : None
psycopg2 : None
jinja2 : 3.0.1
IPython : 7.28.0
pandas_datareader: None
bs4 : 4.10.0
bottleneck : 1.3.2
fsspec : 2021.11.0
fastparquet : 0.7.1
gcsfs : 2021.05.0
matplotlib : 3.4.3
numexpr : 2.7.3
odfpy : None
openpyxl : 3.0.9
pandas_gbq : None
pyarrow : 1.0.1
pyxlsb : None
s3fs : 2021.11.0
scipy : 1.7.2
sqlalchemy : 1.4.25
tables : 3.6.1
tabulate : 0.8.9
xarray : 0.18.0
xlrd : 2.0.1
xlwt : 1.3.0
numba : 0.53.1
zstandard : None
None
Process finished with exit code 0