Pandas version checks
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[X] I have checked that this issue has not already been reported.
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[X] I have confirmed this bug exists on the latest version of pandas.
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[X] I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
import pandas as pd
d = {'col1': [1,3], 'col2': [4,5]}
df = pd.DataFrame(data=d)
print(df)
File ~\anaconda3\Lib\site-packages\spyder_kernels\py3compat.py:356 in compat_exec
exec(code, globals, locals)
File c:\dennis\savedennis\f\pythonstocks\code\untitled3.py:10
df = pd.DataFrame(data=d)
TypeError: 'dict' object is not callable
Issue Description
Everything worked fine until a couple of days ago
Expected Behavior
This code is exactly copied from your examples
Installed Versions
INSTALLED VERSIONS
------------------
commit : a671b5a8bf5dd13fb19f0e88edc679bc9e15c673
python : 3.11.7.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.22631
machine : AMD64
processor : Intel64 Family 6 Model 140 Stepping 2, GenuineIntel
byteorder : little
LC_ALL : None
LANG : en
LOCALE : English_United States.1252
pandas : 2.1.4
numpy : 1.26.4
pytz : 2023.3.post1
dateutil : 2.8.2
setuptools : 68.2.2
pip : 23.3.1
Cython : None
pytest : 7.4.0
hypothesis : None
sphinx : 5.0.2
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.9.3
html5lib : 1.1
pymysql : None
psycopg2 : None
jinja2 : 3.1.3
IPython : 8.20.0
pandas_datareader : None
bs4 : 4.12.2
bottleneck : 1.3.7
dataframe-api-compat: None
fastparquet : None
fsspec : 2023.10.0
gcsfs : None
matplotlib : 3.8.0
numba : 0.59.0
numexpr : 2.8.7
odfpy : None
openpyxl : 3.0.10
pandas_gbq : None
pyarrow : 14.0.2
pyreadstat : None
pyxlsb : None
s3fs : 2023.10.0
scipy : 1.11.4
sqlalchemy : 2.0.25
tables : 3.9.2
tabulate : 0.9.0
xarray : 2023.6.0
xlrd : None
zstandard : 0.19.0
tzdata : 2023.3
qtpy : 2.4.1
pyqt5 : None
Replace this line with the output of pd.show_versions()
Comment From: rhshadrach
I suspect something is wrong with your Python environment. This works fine on my end and would be extremely surprising if it did not. Can you try recreating your Python environment.
What is the output of dir(pd.DataFrame)?
Comment From: mroeschke
Closing as needing more information