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Keywords {🔍}

bug, issue, pandas, false, indexing, simonjayhawkins, sign, empty, dflocfalse, milestone, andjhall, projects, locsetitem, indexer, phofl, pddataframea, member, commented, shape, navigation, pull, requests, actions, security, casting, dtype, float, rhs, list, closed, description, version, confirmed, exists, main, added, triage, reviewed, team, related, seriesframes, indexes, removed, contributions, michaeltiemannosc, contributor, unbearable, assignment, raises, mroeschke,

Topics {✒️}

simonjayhawkins edits member personal information bug setitem casting dtype setitem modifying values simonjayhawkins removed latest version projects milestone bug exists triage issue type projects indexing result df = pd time raises mroeschke removed github milestone relationships pandas false indexer series/frames unbearable floatness unbearable lightness datetime column bug issue main branch indexing loc[[false shape mismatch assignment df false]] = [] false] loc main type shape sign skip jump float rhs checked reported confirmed reproducible dataframe reviewed indexes contributions nullability

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DiscussionForumPosting:
      context:https://schema.org
      headline:BUG: loc.setitem casting dtype to float with all false Indexer and rhs is an empty list
      articleBody:### Pandas version checks - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [X] I have confirmed this bug exists on the main branch of pandas. ### Reproducible Example ```python 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 <details> INSTALLED VERSIONS ------------------ commit : 68f763e7533e29aff51d9e8596ba178621a8adf6 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 Process finished with exit code 0 </details>
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      datePublished:2022-02-14T11:12:38.000Z
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      url:https://github.com/45981/pandas/issues/45981
      context:https://schema.org
      headline:BUG: loc.setitem casting dtype to float with all false Indexer and rhs is an empty list
      articleBody:### Pandas version checks - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [X] I have confirmed this bug exists on the main branch of pandas. ### Reproducible Example ```python 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 <details> INSTALLED VERSIONS ------------------ commit : 68f763e7533e29aff51d9e8596ba178621a8adf6 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 Process finished with exit code 0 </details>
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