BUG: TypeError when printing dataframe with numpy.record

[rvernica]

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

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