BUG: Mask changing value despite of no True return #61505
Description
Pandas version checks
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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
data = {'cd_tip_fma_pgto': [pd.NA]}
df = pd.DataFrame(data, dtype='double[pyarrow]')
df['payment'] = np.nan
df['payment'] = df['payment'].mask(cond=(df['cd_tip_fma_pgto'] == 6), other='Livelo')Issue Description
Evaluating the mask method under a pd.NA, when using pyarrow, is changing the target value!
Expected Behavior
The results of the compasison should not cause any change of the target value, as you see in this example :
data = {'cd_tip_fma_pgto': [pd.NA]}
df = pd.DataFrame(data)
df['payment'] = np.nan
df['payment'] = df['payment'].mask(cond=(df['cd_tip_fma_pgto'] == 6), other='Livelo')
Installed Versions
INSTALLED VERSIONS
commit : 0691c5c
python : 3.11.0
python-bits : 64
OS : Linux
OS-release : 3.10.0-1127.19.1.el7.x86_64
Version : #1 SMP Tue Aug 25 17:23:54 UTC 2020
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : None
LOCALE : en_US.UTF-8
pandas : 2.2.3
numpy : 1.24.2
pytz : 2022.7.1
dateutil : 2.8.2
pip : 25.1.1
Cython : 0.29.33
sphinx : None
IPython : 8.10.0
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.11.2
blosc : None
bottleneck : None
dataframe-api-compat : None
fastparquet : None
fsspec : 2024.5.0
html5lib : None
hypothesis : None
gcsfs : None
jinja2 : 3.1.2
lxml.etree : 4.9.2
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : 3.1.3
pandas_gbq : None
psycopg2 : None
pymysql : None
pyarrow : 17.0.0
pyreadstat : None
pytest : 7.4.3
python-calamine : None
pyxlsb : None
s3fs : None
scipy : 1.10.1
sqlalchemy : 2.0.30
tables : None
tabulate : None
xarray : None
xlrd : None
xlsxwriter : None
zstandard : None
tzdata : 2024.1
qtpy : N/A
pyqt5 : None