return column names from pyodbc execute() statement

Question

from pandas import DataFrame
import pyodbc

cnxn = pyodbc.connect(databasez)
cursor.execute("""SELECT ID, NAME AS Nickname, ADDRESS AS Residence FROM tablez""")
DF = DataFrame(cursor.fetchall())

This is fine to populate my pandas DataFrame. But how do I get

DF.columns = ['ID', 'Nickname', 'Residence']

straight from cursor? Is that information stored in cursor at all?

Answer 1

You can get the columns from the cursor description:

columns = [column[0] for column in cursor.description]

Answer 2

Recent pandas have a higher level read_sql functions that can do this for you

import pyodbc
import pandas as pd

cnxn = pyodbc.connect(databasez)
DF = pd.read_sql_query("SELECT ID, NAME AS Nickname, ADDRESS AS Residence FROM tablez", cnxn)

Answer 3

Improving on the previous answer, in the context of pandas, I found this does exactly what I expect:

DF.columns = DataFrame(np.matrix(cursor.description))[0]

Answer 4

In case you are experiencing the NoneType error from the code provided by Matti John, make sure to make the cursor.description call after you have retrieved data from the database. An example:

cursor = cnxn.cursor()
cursor.execute("SELECT * FROM my_table")
columns = [column[0] for column in cursor.description]

This fixed it for me.