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Description
Pandas version checks
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I have checked that this issue has not already been reported.
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I have confirmed this bug exists on the latest version of pandas.
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I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
import pandas as pd
import numpy as np
ar = np.array([((255, 0),), ((255, 1),), ((255, 2),)], dtype=[('x', [('null', 'u1'), ('val', '<i8')])])
pd.DataFrame.from_records(ar)Issue Description
Very similar to #48526
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/.local/lib/python3.11/site-packages/pandas/core/frame.py", line 1093, in __repr__
return self.to_string(**repr_params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/.local/lib/python3.11/site-packages/pandas/core/frame.py", line 1270, in to_string
return fmt.DataFrameRenderer(formatter).to_string(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/.local/lib/python3.11/site-packages/pandas/io/formats/format.py", line 1134, in to_string
string = string_formatter.to_string()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/.local/lib/python3.11/site-packages/pandas/io/formats/string.py", line 30, in to_string
text = self._get_string_representation()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/.local/lib/python3.11/site-packages/pandas/io/formats/string.py", line 45, in _get_string_representation
strcols = self._get_strcols()
^^^^^^^^^^^^^^^^^^^
File "/.local/lib/python3.11/site-packages/pandas/io/formats/string.py", line 36, in _get_strcols
strcols = self.fmt.get_strcols()
^^^^^^^^^^^^^^^^^^^^^^
File "/.local/lib/python3.11/site-packages/pandas/io/formats/format.py", line 615, in get_strcols
strcols = self._get_strcols_without_index()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/.local/lib/python3.11/site-packages/pandas/io/formats/format.py", line 881, in _get_strcols_without_index
fmt_values = self.format_col(i)
^^^^^^^^^^^^^^^^^^
File "/.local/lib/python3.11/site-packages/pandas/io/formats/format.py", line 895, in format_col
return format_array(
^^^^^^^^^^^^^
File "/.local/lib/python3.11/site-packages/pandas/io/formats/format.py", line 1330, in format_array
return fmt_obj.get_result()
^^^^^^^^^^^^^^^^^^^^
File "/.local/lib/python3.11/site-packages/pandas/io/formats/format.py", line 1363, in get_result
fmt_values = self._format_strings()
^^^^^^^^^^^^^^^^^^^^^^
File "/.local/lib/python3.11/site-packages/pandas/io/formats/format.py", line 1421, in _format_strings
& np.all(notna(vals), axis=tuple(range(1, len(vals.shape))))
^^^^^^^^^^^
File "/.local/lib/python3.11/site-packages/pandas/core/dtypes/missing.py", line 429, in notna
res = isna(obj)
^^^^^^^^^
File "/.local/lib/python3.11/site-packages/pandas/core/dtypes/missing.py", line 183, in isna
return _isna(obj)
^^^^^^^^^^
File "/.local/lib/python3.11/site-packages/pandas/core/dtypes/missing.py", line 212, in _isna
return _isna_array(obj, inf_as_na=inf_as_na)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/.local/lib/python3.11/site-packages/pandas/core/dtypes/missing.py", line 302, in _isna_array
result = np.isnan(values)
^^^^^^^^^^^^^^^^
TypeError: ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''Expected Behavior
x
0 (255, 0)
1 (255, 1)
2 (255, 2)Installed Versions
/usr/lib/python3.11/site-packages/_distutils_hack/__init__.py:33: UserWarning: Setuptools is replacing distutils.
warnings.warn("Setuptools is replacing distutils.")
INSTALLED VERSIONS
------------------
commit : 4b456e23278b2e92b13e5c2bd2a5e621a8057bd1
python : 3.11.4.final.0
python-bits : 64
OS : Linux
OS-release : 6.4.12-200.fc38.x86_64
Version : #1 SMP PREEMPT_DYNAMIC Wed Aug 23 17:46:49 UTC 2023
machine : x86_64
processor :
byteorder : little
LC_ALL : en_US.UTF-8
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 2.2.0dev0+171.g4b456e2327
numpy : 1.25.2
pytz : 2023.3.post1
dateutil : 2.8.2
setuptools : 65.5.1
pip : 23.2.1
Cython : None
pytest : 7.4.1
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.9.2
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.15.0
pandas_datareader : None
bs4 : 4.12.2
bottleneck : None
dataframe-api-compat: None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 11.0.0
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
zstandard : None
tzdata : 2023.3
qtpy : None
pyqt5 : None