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 numpy as np
import pandas as pd
print(np.__version__) # 2.0.2
print(pd.__version__) # 2.2.3
data = pd.Series([333, 555])
# accessing scalar via __getitem__ returns <class 'numpy.int64'>
print(type(data[0]))
# accessing scalar via iteration returns <class 'int'>
print(type(next(iter(data))))Issue Description
numpy 2.0 recently changed its representation of scalars to include type information. However, pandas produces inconsistent return types when one is accessing scalars with __getitem__ vs iterating over items, as demonstrated in the example code snippet.
This inconsistency is showing up in downstream projects like NetworkX: networkx/networkx#7763 (comment)
Expected Behavior
pandas should produce consistent return types when one is accessing scalars with __getitem__ vs iterating over items
Installed Versions
INSTALLED VERSIONS
commit : 0691c5c
python : 3.12.8
python-bits : 64
OS : Linux
OS-release : 6.8.0-50-generic
Version : #51-Ubuntu SMP PREEMPT_DYNAMIC Sat Nov 9 17:58:29 UTC 2024
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 2.2.3
numpy : 2.0.2
pytz : 2024.1
dateutil : 2.9.0.post0
pip : 24.3.1
Cython : None
sphinx : 8.1.3
IPython : 8.30.0
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.12.3
blosc : None
bottleneck : 1.4.2
dataframe-api-compat : None
fastparquet : None
fsspec : None
html5lib : None
hypothesis : None
gcsfs : None
jinja2 : 3.1.4
lxml.etree : 5.3.0
matplotlib : 3.9.3
numba : 0.60.0
numexpr : 2.10.2
odfpy : None
openpyxl : None
pandas_gbq : None
psycopg2 : None
pymysql : None
pyarrow : None
pyreadstat : None
pytest : 8.3.4
python-calamine : None
pyxlsb : None
s3fs : None
scipy : 1.14.1
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlsxwriter : None
zstandard : 0.23.0
tzdata : 2024.2
qtpy : None
pyqt5 : None