在 Python 中从 SQL 中提取 1 列数据

Question

I have connected to a SQL database through python and am trying to extract one column of data. However, when I go to print what I extracted, it displays the following:

('A', )
('B', )
('C', )
('D', )

When I extract two columns, it prints:

('A', 'a' )
('B', 'b')
('C', 'c')
('D', 'd')

Is there a way to simply take the data in the first column without the additional , ) or even transform into a dataframe while preserving the column names from SQL? I have found a lot of guides how to extract data from SQL, but none showing ability to operate as a dataframe and preserve column names.

Code to generate:

import pyodbc
conn = pyodbc.connect(driver='{SQL Server}'
                      ,server = 'server'
                      ,database = 'db1'
                      ,trusted_connection=True
                      ,user='user')
cursor=conn.cursor()
cursor.execute(
        '''SELECT
                Column_One
                --,Column_Two
            FROM db1.table''')
for row in cursor.fetchall():
    print(row)

Answer 1

Try that

import pyodbc
conn = pyodbc.connect(driver='{SQL Server}'
                      ,server = 'server'
                      ,database = 'db1'
                      ,trusted_connection=True
                      ,user='user')
cursor=conn.cursor()
cursor.execute(
        '''SELECT
                Column_One
                --,Column_Two
            FROM db1.table''')

final_result = [list(i) for i in cursor.fetchall()]

Answer 2

from sqlalchemy import create_engine
import pymysql
def keyword_sql():
    try:
        db_connection_str = 'mysql+pymysql://user:password@server/database'
        db_connection = create_engine(db_connection_str)
        df = pd.read_sql('SELECT keyword, category FROM additional_data_dictionary', con=db_connection)
        return df
    except:
        print("mysql connection issue - ignoring the user input")
        sys.exit(1)

See if this helps, I am not using pyodbc, I am using "sqlalchemy" - this code directly returns the pandas dataframe