Pandas version checks
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[x] I have checked that this issue has not already been reported.
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[x] 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
df = pd.DataFrame(
{
"a": [-1., 2., 3., 4., 5.],
"b": [1., 2., 3., 4., 5.],
}, dtype=pd.Float64Dtype()
)
df = np.sqrt(df)
# Returns False
print(df.isna().any().any())
# Returns True
print(pd.isna(df.loc[0, "a"]))
Issue Description
Apply a NumPy operation that yields NaN for some value of the dataframe of type Float64Dtype. Then pandas null checking functions (isna, isnull, notna) will not detect the NaN value. However, it is detected if we index the NaN value.
Expected Behavior
Both the above print statements should be True.
Installed Versions
INSTALLED VERSIONS
------------------
commit : 2cc37625532045f4ac55b27176454bbbc9baf213
python : 3.13.5
python-bits : 64
OS : Linux
OS-release : 6.15.4-arch2-1
Version : #1 SMP PREEMPT_DYNAMIC Fri, 27 Jun 2025 16:35:07 +0000
machine : x86_64
processor :
byteorder : little
LC_ALL : None
LANG : en_GB.UTF-8
LOCALE : en_GB.UTF-8
pandas : 2.3.0
numpy : 2.1.2
pytz : 2025.2
dateutil : 2.9.0.post0
pip : None
Cython : None
sphinx : None
IPython : 9.3.0
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.13.4
blosc : None
bottleneck : None
dataframe-api-compat : None
fastparquet : None
fsspec : 2024.6.1
html5lib : None
hypothesis : None
gcsfs : None
jinja2 : 3.1.4
lxml.etree : None
matplotlib : 3.10.3
numba : 0.61.2
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
psycopg2 : None
pymysql : None
pyarrow : None
pyreadstat : None
pytest : 8.4.1
python-calamine : None
pyxlsb : None
s3fs : None
scipy : 1.15.3
sqlalchemy : 2.0.41
tables : None
tabulate : None
xarray : None
xlrd : None
xlsxwriter : None
zstandard : None
tzdata : 2025.2
qtpy : None
pyqt5 : None