1 step: Create a temporary table with pyodbc into sql server for objects
2 step: Select objects from temporary table and load it into pandas dataframe
3 step: print dataframe

import codecs
import os
import io
import pandas as pd
import pyodbc as po

server = 'sql_server'
database = 'sql_database'

connection = po.connect('DRIVER={SQL Server};SERVER='+server+';DATABASE='+database+';Trusted_Connection=yes;')
cursor = connection.cursor()

query1 = """
CREATE TABLE #ttobject (object_nr varchar(6), change_date datetime)
INSERT INTO #ttobject (object_nr)
VALUES
('363964'),
('349897'),
('371966');
"""

query2 = """
SELECT *
FROM #ttobject

Drop table if exists #ttobject
"""


cursor.execute(query1)
df = pd.read_sql_query(query2, connection)
print(df)

('HY000', '[HY000] [Microsoft][ODBC SQL Server Driver]Connection is busy with results for another hstmt (0) (SQLExecDirectW)')