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
df = pd.DataFrame({"a": [1, 2]})
df.loc[[False, False]] = []This also happens for multi block DataFrames
df = pd.DataFrame({"a": [1, 2], "b": "a"})
df.loc[[False, False], "a"] = []
Issue Description
a
0 1.0
1 2.0
Expected Behavior
a
0 1
1 2
Installed Versions
INSTALLED VERSIONS
commit : 68f763e
python : 3.8.12.final.0
python-bits : 64
OS : Linux
OS-release : 5.13.0-28-generic
Version : #31~20.04.1-Ubuntu SMP Wed Jan 19 14:08:10 UTC 2022
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.5.0.dev0+348.g68f763e753
numpy : 1.22.0
pytz : 2021.1
dateutil : 2.8.2
pip : 21.3.1
setuptools : 59.8.0
Cython : 0.29.24
pytest : 6.2.5
hypothesis : 6.23.1
sphinx : 4.2.0
blosc : None
feather : None
xlsxwriter : 3.0.1
lxml.etree : 4.6.3
html5lib : 1.1
pymysql : None
psycopg2 : None
jinja2 : 3.0.1
IPython : 7.28.0
pandas_datareader: None
bs4 : 4.10.0
bottleneck : 1.3.2
fastparquet : 0.7.1
fsspec : 2021.11.0
gcsfs : 2021.05.0
matplotlib : 3.4.3
numba : 0.53.1
numexpr : 2.7.3
odfpy : None
openpyxl : 3.0.9
pandas_gbq : None
pyarrow : 3.0.0
pyreadstat : 1.1.2
pyxlsb : None
s3fs : 2021.11.0
scipy : 1.7.2
sqlalchemy : 1.4.25
tables : 3.6.1
tabulate : 0.8.9
xarray : 0.18.0
xlrd : 2.0.1
xlwt : 1.3.0
zstandard : None
None
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