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When migrating SQL logic like CASE WHEN statements into Python using PyODBC, you can either execute the SQL directly on the server or replicate the conditional logic in Python after fetching the data.
Execute CASE WHEN in SQL via PyODBC
If you want SQL Server to handle the conditional logic, embed the CASE WHEN directly in your query string and execute it through PyODBC.
Example:
import pyodbc# Connection stringconn = pyodbc.connect(r'DRIVER={ODBC Driver 18 for SQL Server};'r'SERVER=YOUR_SERVER;'r'DATABASE=YOUR_DB;'r'Trusted_Connection=yes;')cursor = conn.cursor()# SQL with CASE WHENquery = """SELECTid,name,CASEWHEN score >= 90 THEN 'A'WHEN score >= 75 THEN 'B'ELSE 'C'END AS gradeFROM Students"""cursor.execute(query)for row in cursor.fetchall():print(row.id, row.name, row.grade)Copied!✕CopyThis approach keeps computation on the database side, improving performance for large datasets.
Replicate CASE WHEN Logic in Python
If you prefer to fetch raw data and apply conditions in Python:
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