Pandas version checks
-
[X] I have checked that this issue has not already been reported.
-
[X] I have confirmed this bug exists on the latest version of pandas.
-
[X] I have confirmed this bug exists on the main branch of pandas.
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
Comment From: 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.
Comment From: mohsenhariri
having the same issue.
Comment From: rhshadrach
Can you post a full stack trace?
Comment From: 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
Comment From: rhshadrach
@mohsenhariri - closing for now. If you are still having issues, post a full stack trace and we can reopen.
Comment From: 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
Comment From: 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().
Comment From: Geremia
@rhshadrach I'm running it in a python console:
$ python
Python 3.12.8 (main, Dec 4 2024, 14:07:02) [GCC 14.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> 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
>>> pd.show_versions()
INSTALLED VERSIONS
------------------
commit : d9cdd2ee5a58015ef6f4d15c7226110c9aab8140
python : 3.12.8.final.0
python-bits : 64
OS : Linux
OS-release : 6.12.6
Version : #1 SMP PREEMPT_DYNAMIC Thu Dec 19 14:44:30 CST 2024
machine : x86_64
processor : AMD Ryzen Threadripper 2990WX 32-Core Processor
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 2.2.2
numpy : 1.26.3
pytz : 2024.2
dateutil : 2.9.0
setuptools : 75.6.0
pip : 24.3.1
Cython : 3.0.11
pytest : 8.3.4
hypothesis : None
sphinx : 8.1.3
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 5.3.0
html5lib : 1.1
pymysql : None
psycopg2 : 2.9.9
jinja2 : 3.1.5
IPython : 8.18.1
pandas_datareader : None
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.12.3
bottleneck : None
dataframe-api-compat : None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : 3.8.4
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyreadstat : None
python-calamine : None
pyxlsb : None
s3fs : None
scipy : 1.12.0
sqlalchemy : 2.0.36
tables : None
tabulate : None
xarray : None
xlrd : None
zstandard : None
tzdata : 2024.2
qtpy : 2.4.2
pyqt5 : None
>>>
Comment From: rhshadrach
Can you reproduce the issue by creating your environment from scratch? If so, can you share what commands you're running to do so.
Comment From: Geremia
@rhshadrach
creating your environment from scratch
That was the issue. I had Pandas 2.2.1 superposed over Pandas 2.2.2 for some reason. I removed the stray 2.2.1 package, and now it works.
Comment From: felix1801
I solved it doing :
sudo pip uninstall pyspark sudo pip uninstall pandas sudo pip uninstall numpy sudo python3 -m pip uninstall numpy
sudo python3 -m pip install pyspark==3.5.4 sudo python3 -m pip install pandas==2.2.3