BUG: unexpected behaviour of `pandas.Series.isna` on `Float64`

[Fresh-Mint]

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

s0 = pd.Series([0.0 for _ in range(10)], dtype="Float64") / 0.0


# Unexpected behaviour
print(s0.isna())
# output
# 0    False
# 1    False
# 2    False
# 3    False
# 4    False
# 5    False
# 6    False
# 7    False
# 8    False
# 9    False
# dtype: bool

# Expected behaviour of Series.isna
print(s0.apply(pd.isna))
# output
# 0    True
# 1    True
# 2    True
# 3    True
# 4    True
# 5    True
# 6    True
# 7    True
# 8    True
# 9    True
# dtype: bool

Issue Description

pandas.Series.isna returns False on NaN resulted from Float64

Expected Behavior

Expect True to be returned on NaN resulted from Float64

Installed Versions

INSTALLED VERSIONS

commit : a60ad39
python : 3.11.6.final.0
python-bits : 64
OS : Linux
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8

pandas : 2.1.2
numpy : 1.26.1
pytz : 2023.3.post1
dateutil : 2.8.2
setuptools : 68.2.2
pip : 23.3.1
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : None
IPython : 8.17.2
pandas_datareader : None
bs4 : None
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 : None
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

[paulreece]

Occurs on main and 2.1.x.

It's because this function is expecting np.ndarray but instead receives pandas.core.arrays.floating.FloatingArray:

pandas/pandas/core/dtypes/missing.py

Lines 261 to 279 in eedf0d5

	def _isna_array(values: ArrayLike, inf_as_na: bool = False):
	"""
	Return an array indicating which values of the input array are NaN / NA.
	Parameters
	----------
	obj: ndarray or ExtensionArray
	The input array whose elements are to be checked.
	inf_as_na: bool
	Whether or not to treat infinite values as NA.
	Returns
	-------
	array-like
	Array of boolean values denoting the NA status of each element.
	"""
	dtype = values.dtype
	if not isinstance(values, np.ndarray):

[mroeschke]

Thanks for the report. The core issue is being discussed in #32265 so closing in favor of that issue