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BUG: TypeError: Cannot convert numpy.ndarray to numpy.ndarray #60184
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I would have to guess this is due to an invalid installation. Please try recreating your environment from scratch. If this does not resolve it, post a full stack trace of the error that you get. |
having the same issue. |
Can you post a full stack trace? |
Yeah it resolved, actually when you install some dependencies in colab then the session should be restarted in order to make it usable |
@mohsenhariri - closing for now. If you are still having issues, post a full stack trace and we can reopen. |
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
It was working fine when I was running it about 7 Hour ago but now it won't work mean while it give me this error
TypeError: Cannot convert numpy.ndarray to numpy.ndarray
Expected Behavior
TypeError: Cannot convert numpy.ndarray to numpy.ndarray
Installed Versions
pandas : 2.2.2
numpy : 1.26.4
pytz : 2024.2
dateutil : 2.8.2
setuptools : 75.1.0
pip : 24.1.2
Cython : 3.0.11
pytest : 7.4.4
hypothesis : None
sphinx : 5.0.2
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 5.3.0
html5lib : 1.1
pymysql : None
psycopg2 : 2.9.10
jinja2 : 3.1.4
IPython : 7.34.0
pandas_datareader : 0.10.0
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.12.3
bottleneck : 1.4.2
dataframe-api-compat : None
fastparquet : None
fsspec : 2024.10.0
gcsfs : 2024.10.0
matplotlib : 3.8.0
numba : 0.60.0
numexpr : 2.10.1
odfpy : None
openpyxl : 3.1.5
pandas_gbq : 0.24.0
pyarrow : 17.0.0
pyreadstat : None
python-calamine : None
pyxlsb : None
s3fs : None
scipy : 1.13.1
sqlalchemy : 2.0.36
tables : 3.8.0
tabulate : 0.9.0
xarray : 2024.10.0
xlrd : 2.0.1
zstandard : None
tzdata : 2024.2
qtpy : None
pyqt5 : None
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