pandas read_sql Imports NULLs as 0s

问题

Edit: Apparently my connection (PYODBC) is reading in the NULLs as 0s. I'd like to correct this on a "higher" level as I'll be reading in lots of SQL files. I can't find anything in the documentation to prevent this. Any suggestions?

I am importing a SQL file/query as a string and then using pd.read_sql to query my database. In SQL Server I can do calculations between NULL values which results in a NULL value, however, in Python, this errors out my script.

Query ran in SQL Server:

SELECT PurchaseOrderID, POTotalQtyVouched, NewColumn = PurchaseOrderID/POTotalQtyVouched FROM #POQtys;

Here is my desired output after running the query (which works in SQL Server):

PurchaseOrderID    POTotalQtyVouched   NewColumn
NULL               NULL                NULL
007004             8                   875.5
008017             21                  381.761904761905
008478             NULL                NULL

Running the query in Python:

query = '''
...
[Other code defining #POQTYs]
...
SELECT PurchaseOrderID, POTotalQtyVouched, NewColumn = PurchaseOrderID/POTotalQtyVouched FROM #POQtys;

'''
conn = pyodbc.connect('Driver={ODBC Driver 17 for SQL Server};'
                      'Server=MSS-SL-SQL;'
                      'Database=TRACE DB;'
                      'Trusted_Connection=yes;')

df = pd.read_sql(query, conn)

Error in Python: