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BUG: FutureWarning about 'isin' where it is not used #57028

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@workflowsguy

Description

@workflowsguy

Pandas version checks

  • I have checked that this issue has not already been reported.

  • I have confirmed this bug exists on the latest version of pandas.

  • I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

from datetime import datetime
import pandas as pd
from pandas import Timestamp

df = pd.DataFrame(
		{'Betrag': {0: '-30,60', 1: '-45,00', 2: '-582,00'},
		'Buchungsart': {0: 'Überweisung', 1: 'Überweisung', 2: 'Überweisung'},
		'Dokumentdatum': {0: Timestamp('2024-01-25 00:00:00'),
						  1: Timestamp('2024-01-01 00:00:00'),
						  2: Timestamp('2024-01-08 00:00:00')},
		'Fälligkeitsdatum': {0: Timestamp('2024-01-25 00:00:00'),
							 1: Timestamp('2024-01-31 00:00:00'),
							 2: Timestamp('2024-02-01 00:00:00')},
		'Genauigkeit Betrag': {0: 'fix', 1: 'fix', 2: 'fix'},
		'Genauigkeit Datum': {0: 'fix', 1: 'fix', 2: 'fix'},
		'Kategorie': {0: 'Kategorie1',
					  1: 'Kategorie2',
					  2: 'Kategorie3'},
		'Kontrahent': {0: 'Kontrahent1', 1: 'Kontrahent2', 2: 'Kontrahent3'},
		'Kontrahent BIC': {0: '', 1: '', 2: ''},
		'Kontrahent IBAN': {0: 'XX000000000000000001',
							1: 'XX000000000000000002',
							2: 'XX000000000000000003'},
		'Kostenträger': {0: 'Ort',
						 1: 'Person',
						 2: 'Gegenstand'},
		'Mandatsreferenz': {0: '', 1: '', 2: ''},
		'Produkt': {0: 'Produkt1',
					1: 'Produkt2',
					2: 'Produkt3'},
		'Zahlungsreferenz/SEPA Creditor Id': {0: '3276842762347',
											  1: '327684276234712',
											  2: '32768427'},
		'erledigt': {0: '', 1: '', 2: ''},
		'gesendet am': {0: Timestamp('2024-01-14 00:00:00'), 1: None, 2: None},
		'laufende Summe': {0: '1.659,09', 1: '1.614,09', 2: '1.032,09'}}
		)

aktuelles_Jahr = datetime.today().year
aktueller_Monat = datetime.today().month

df_nicht_erfasst = df.query("Fälligkeitsdatum.dt.year == @aktuelles_Jahr and "
					"Fälligkeitsdatum.dt.month == @aktueller_Monat and "
					"Buchungsart == 'Überweisung' and "
					"`gesendet am` == ''")

Issue Description

After updating to pandas 2.2, when I run a program with the last line above, there is now the following warning displayed:

FutureWarning: The behavior of 'isin' with dtype=datetime64[ns] and castable values (e.g. strings) is deprecated. In a future version, these will not be considered matching by isin. Explicitly cast to the appropriate dtype before calling isin instead.

However, the line referenced in the warning does not contain any isin function.

Also, I am unclear what I am now supposed to do to remedy this warning.

Expected Behavior

Clarification about why this is about isinand pointer to explanation + example about how to change the code

Installed Versions

/Users/guy/Library/Python/3.11/lib/python/site-packages/_distutils_hack/init.py:33: UserWarning: Setuptools is replacing distutils.
warnings.warn("Setuptools is replacing distutils.")

INSTALLED VERSIONS

commit : fd3f571
python : 3.11.7.final.0
python-bits : 64
OS : Darwin
OS-release : 17.7.0
Version : Darwin Kernel Version 17.7.0: Fri Oct 30 13:34:27 PDT 2020; root:xnu-4570.71.82.8~1/RELEASE_X86_64
machine : x86_64
processor : i386
byteorder : little
LC_ALL : de_AT.UTF-8
LANG : de_AT.UTF-8
LOCALE : de_AT.UTF-8

pandas : 2.2.0
numpy : 1.26.3
pytz : 2023.3.post1
dateutil : 2.8.2
setuptools : 69.0.3
pip : 23.3.2
Cython : 3.0.8
pytest : 7.4.4
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : 3.1.9
lxml.etree : 5.1.0
html5lib : 1.1
pymysql : 1.4.6
psycopg2 : None
jinja2 : 3.1.3
IPython : 8.20.0
pandas_datareader : None
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.12.3
bottleneck : None
dataframe-api-compat : None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : 3.1.2
pandas_gbq : None
pyarrow : 13.0.0.dev0+gb7d2f7ffc.d20231220
pyreadstat : None
python-calamine : None
pyxlsb : None
s3fs : None
scipy : 1.11.4
sqlalchemy : 2.0.25
tables : None
tabulate : 0.9.0
xarray : None
xlrd : 2.0.1
zstandard : 0.22.0
tzdata : 2023.4
qtpy : 2.4.1
pyqt5 : None

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