Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
[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
>>> import pandas as pd
>>> pd.__version__
'2.2.2'
>>> import numpy as np
>>> np.__version__
'2.0.0'
>>> pd.show_versions()
C:\Anaconda3\envs\pandasstubs\lib\site-packages\_distutils_hack\__init__.py:26: UserWarning: Setuptools is replacing distutils.
warnings.warn("Setuptools is replacing distutils.")
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Anaconda3\envs\pandasstubs\lib\site-packages\pandas\util\_print_versions.py", line 141, in show_versions
deps = _get_dependency_info()
File "C:\Anaconda3\envs\pandasstubs\lib\site-packages\pandas\util\_print_versions.py", line 98, in _get_dependency_info
mod = import_optional_dependency(modname, errors="ignore")
File "C:\Anaconda3\envs\pandasstubs\lib\site-packages\pandas\compat\_optional.py", line 135, in import_optional_dependency
module = importlib.import_module(name)
File "C:\Anaconda3\envs\pandasstubs\lib\importlib\__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 850, in exec_module
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "C:\Anaconda3\envs\pandasstubs\lib\site-packages\tables\__init__.py", line 72, in <module>
from .utilsextension import get_hdf5_version as _get_hdf5_version
File "tables\\utilsextension.pyx", line 1, in init tables.utilsextension
ValueError: numpy.dtype size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject
Issue Description
numpy 2.0 causes HDF support and show_versions() broken because pytables hasn't been updated
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
Issue Description
numpy 2.0 causes HDF support and
show_versions()
broken because pytables hasn't been updatedSee https://github.com/PyTables/PyTables/issues/1172
Expected Behavior
No error - or at least
show_versions()
should workInstalled Versions
Can't do this -
show_versions()
doesn't work!!pytables 3.9.2