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 main branch of pandas.
Reproducible Example
import pandas as pd
models = pd.api.types.CategoricalDtype(categories=['name','longname','verylongname'])
df = pd.DataFrame({'modelId':['name','longname','longname'],
'value' :[1,2,3]}
).astype({'modelId':models,'value':int})
with pd.HDFStore('test.h5','w') as store:
store.append('df',df,data_columns=['modelId'])
with pd.HDFStore('test.h5','r') as store:
model = 'name'
print(store.select('df', 'modelId == model'))
model = 'longname'
print(store.select('df', 'modelId == model'))
model = 'verylongname'
print(store.select('df', 'modelId == model'))Issue Description
This seems to be the same or very similar to bug #39189 (regression?)
I encountered the same behavior under pandas 2.2.0 and 2.2.1
Expected Behavior
The DataFrame stored in the HDF store is:
>>> df
0 name 1
1 longname 2
2 longname 3
The 3 print statements give:
# Below should have matched row 0 instead of Empty
>>> model = 'name'
>>> print(store.select('df', 'modelId == model'))
Empty DataFrame
Columns: [modelId, value]
Index: []
# Below matched row 0 but should have matched rows 1 and 2
>>> model = 'longname'
>>> print(store.select('df', 'modelId == model'))
modelId value
0 name 1
# This is correct
>>> model = 'verylongname'
>>> print(store.select('df', 'modelId == model'))
Empty DataFrame
Columns: [modelId, value]
Index: []
Installed Versions
INSTALLED VERSIONS
commit : bdc79c1
python : 3.11.8.final.0
python-bits : 64
OS : Linux
OS-release : 6.1.69-gentoo-dist-hardened
Version : #1 SMP PREEMPT_DYNAMIC Thu Jan 18 22:03:57 CET 2024
machine : x86_64
processor : AMD Ryzen 5 3600X 6-Core Processor
byteorder : little
LC_ALL : en_US.UTF-8
LANG : en_BE.UTF-8
LOCALE : en_US.UTF-8
pandas : 2.2.1
numpy : 1.26.4
pytz : 2024.1
dateutil : 2.8.2
setuptools : 69.0.3
pip : None
Cython : 3.0.8
pytest : 7.4.4
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : 3.1.9
lxml.etree : 4.9.4
html5lib : 1.1
pymysql : None
psycopg2 : None
jinja2 : 3.1.3
IPython : 8.21.0
pandas_datareader : None
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.12.3
bottleneck : 1.3.7
dataframe-api-compat : None
fastparquet : None
fsspec : 2024.2.0
gcsfs : None
matplotlib : 3.8.2
numba : 0.59.0
numexpr : 2.9.0
odfpy : None
openpyxl : 3.1.2
pandas_gbq : None
pyarrow : None
pyreadstat : None
python-calamine : None
pyxlsb : None
s3fs : None
scipy : 1.12.0
sqlalchemy : 2.0.25
tables : 3.9.2
tabulate : 0.9.0
xarray : 2024.1.1
xlrd : 2.0.1
zstandard : 0.22.0
tzdata : None
qtpy : 2.4.1
pyqt5 : None