BUG: TypeError: Cannot convert numpy.ndarray to numpy.ndarray

[Ibrah-N]

Pandas version checks

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Reproducible Example

data = {"ID": [1, 2, 4], "Names" : ['k', 'X', 'y']}

df = pd.DataFrame(data)
df.head()

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

INSTALLED VERSIONS ------------------ commit : d9cdd2e python : 3.10.12.final.0 python-bits : 64 OS : Linux OS-release : 6.1.85+ Version : #1 SMP PREEMPT_DYNAMIC Thu Jun 27 21:05:47 UTC 2024 machine : x86_64 processor : x86_64 byteorder : little LC_ALL : en_US.UTF-8 LANG : en_US.UTF-8 LOCALE : en_US.UTF-8

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

[rhshadrach]

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.

[rhshadrach]

Can you post a full stack trace?

[Ibrah-N]

Yeah it resolved, actually when you install some dependencies in colab then the session should be restarted in order to make it usable

[rhshadrach]

@mohsenhariri - closing for now. If you are still having issues, post a full stack trace and we can reopen.

[Geremia]

@rhshadrach

Pandas 2.1.4 on Python 3.12.8, with Numpy 1.26.3:

import pandas as pd
data = {"ID": [1, 2, 4], "Names" : ['k', 'X', 'y']}

df = pd.DataFrame(data)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/lib64/python3.12/site-packages/pandas/core/frame.py", line 778, in __init__
    mgr = dict_to_mgr(data, index, columns, dtype=dtype, copy=copy, typ=manager)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/lib64/python3.12/site-packages/pandas/core/internals/construction.py", line 480, in dict_to_mgr
    columns = Index(keys) if keys else default_index(0)
              ^^^^^^^^^^^
  File "/usr/lib64/python3.12/site-packages/pandas/core/indexes/base.py", line 565, in __new__
    arr = sanitize_array(data, None, dtype=dtype, copy=copy)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/lib64/python3.12/site-packages/pandas/core/construction.py", line 654, in sanitize_array
    subarr = maybe_convert_platform(data)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/lib64/python3.12/site-packages/pandas/core/dtypes/cast.py", line 139, in maybe_convert_platform
    arr = lib.maybe_convert_objects(arr)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "lib.pyx", line 2538, in pandas._libs.lib.maybe_convert_objects
TypeError: Cannot convert numpy.ndarray to numpy.ndarray

[rhshadrach]

@Geremia - can you give details as to how you're running this. Is it locally? A py-file or a notebook? Also can you post the output of pd.show_versions().