import pandas as pd
from pandasql import sqldf
df = pd.DataFrame({'col1': [1, 2, 3, 4], 'col2': [10, 20, 30, 40]})
query = "SELECT * FROM df WHERE col1 > 2"
result = sqldf(query, globals())
print(result)

Output exceeds the size limit. Open the full output data in a text editor
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
File ~/.virtualenvs/r-reticulate/lib64/python3.11/site-packages/sqlalchemy/engine/base.py:1410, in Connection.execute(self, statement, parameters, execution_options)
   1409 try:
-> 1410     meth = statement._execute_on_connection
   1411 except AttributeError as err:
AttributeError: 'str' object has no attribute '_execute_on_connection'
The above exception was the direct cause of the following exception:
ObjectNotExecutableError                  Traceback (most recent call last)
Cell In[1], line 11
      8 query = "SELECT * FROM df WHERE col1 > 2"
     10 # Execute the query using pandasql
---> 11 result = sqldf(query, globals())
     13 print(result)
File ~/.virtualenvs/r-reticulate/lib64/python3.11/site-packages/pandasql/sqldf.py:156, in sqldf(query, env, db_uri)
    124 def sqldf(query, env=None, db_uri='sqlite:///:memory:'):
    125     """
    126     Query pandas data frames using sql syntax
    127     This function is meant for backward compatibility only. New users are encouraged to use the PandaSQL class.
   (...)
    154     >>> sqldf("select avg(x) from df;", locals())
...
   1416         distilled_parameters,
   1417         execution_options or NO_OPTIONS,
   1418     )
ObjectNotExecutableError: Not an executable object: 'SELECT * FROM df WHERE col1 > 2'

pip install SQLAlchemy==1.4.46