BUG: Replacing pd.NA by None has no effect #45601
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
df = pd.DataFrame({"value": [42, None]}).astype({"value": "Int64"})
assert df.replace({pd.NA: None}).to_dict() == {"value": {0: 42, 1: None}}Issue Description
Since version 1.4.0 .replace({pd.NA: None}) has no effect, pd.NA is not be replaced by None anymore.
Expected Behavior
The assertion in the example shown above is fulfilled in version 1.3.5.
Installed Versions
Details
INSTALLED VERSIONS
commit : bb1f651
python : 3.10.1.final.0
python-bits : 64
OS : Linux
OS-release : 5.15.13-arch1-1
Version : #1 SMP PREEMPT Wed, 05 Jan 2022 16:20:59 +0000
machine : x86_64
processor :
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : de_DE.UTF-8
pandas : 1.4.0
numpy : 1.21.5
pytz : 2021.3
dateutil : 2.8.2
pip : 21.2.4
setuptools : 58.1.0
Cython : None
pytest : 6.2.5
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.0.3
IPython : None
pandas_datareader: None
bs4 : None
bottleneck : None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : 3.5.1
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : 1.4.29
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
zstandard : None