You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Unlike Pandas 2.2.2, the current main branch doesn't always return the indexers. The above example prints this output (where the right indexer surprisingly is None): Index([2, 2, 3], dtype='int64') [-1 -1 1] None
The change in behavior got introduced with #56841, which is supposed to improve performance, but not to change the behavior in other ways.
Expected Behavior
Pandas 2.2.2 prints this output, which is what I'd expect: Index([2, 2, 3], dtype='int64') [-1 -1 1] [0 1 2]
Installed Versions
INSTALLED VERSIONS
------------------
commit : 9fee6cf
python : 3.10.8.final.0
python-bits : 64
OS : Linux
OS-release : 6.5.0-28-generic
Version : #29-Ubuntu SMP PREEMPT_DYNAMIC Thu Mar 28 23:46:48 UTC 2024
machine : x86_64
processor :
byteorder : little
LC_ALL : None
LANG : C.UTF-8
LOCALE : en_US.UTF-8
Pandas version checks
I have checked that this issue has not already been reported.
I have confirmed this bug exists on the latest version of pandas.
I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
Issue Description
Unlike Pandas 2.2.2, the current main branch doesn't always return the indexers. The above example prints this output (where the right indexer surprisingly is
None
):Index([2, 2, 3], dtype='int64') [-1 -1 1] None
The change in behavior got introduced with #56841, which is supposed to improve performance, but not to change the behavior in other ways.
Expected Behavior
Pandas 2.2.2 prints this output, which is what I'd expect:
Index([2, 2, 3], dtype='int64') [-1 -1 1] [0 1 2]
Installed Versions
pandas : 3.0.0.dev0+850.g9fee6cfc59
numpy : 1.26.4
pytz : 2024.1
dateutil : 2.9.0.post0
setuptools : 63.2.0
pip : 24.0
Cython : 3.0.10
pytest : 8.2.0
hypothesis : 6.100.2
sphinx : 7.3.7
blosc : None
feather : None
xlsxwriter : 3.2.0
lxml.etree : 5.2.1
html5lib : 1.1
pymysql : 1.4.6
psycopg2 : 2.9.9
jinja2 : 3.1.3
IPython : 8.24.0
pandas_datareader : None
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.12.3
bottleneck : 1.3.8
fastparquet : 2024.2.0
fsspec : 2024.3.1
gcsfs : 2024.3.1
matplotlib : 3.8.4
numba : 0.59.1
numexpr : 2.10.0
odfpy : None
openpyxl : 3.1.2
pyarrow : 16.0.0
pyreadstat : 1.2.7
python-calamine : None
pyxlsb : 1.0.10
s3fs : 2024.3.1
scipy : 1.13.0
sqlalchemy : 2.0.29
tables : 3.9.2
tabulate : 0.9.0
xarray : 2024.3.0
xlrd : 2.0.1
zstandard : 0.22.0
tzdata : 2024.1
qtpy : None
pyqt5 : None
The text was updated successfully, but these errors were encountered: