Answers for "SQL to DataFrame"

SQL to DataFrame

import pandas as pd
import pyodbc 
conn = pyodbc.connect('Driver={SQL Server};'
                      'Server=RON\SQLEXPRESS;'
                      'Database=TestDB;'
                      'Trusted_Connection=yes;')

cursor = conn.cursor()

sql_query = pd.read_sql_query('SELECT * FROM TestDB.dbo.Person',conn)
print(sql_query)
print(type(sql_query))

pandas sql commands

SQL_Query = pd.read_sql_query(
'''select
product_name,
product_price_per_unit,
units_ordered,
((units_ordered) * (product_price_per_unit)) AS revenue
from tracking_sales''', conn)

SQL to DataFrame

import pandas as pd
import pyodbc 
conn = pyodbc.connect('Driver={SQL Server};'
                      'Server=RON\SQLEXPRESS;'
                      'Database=TestDB;'
                      'Trusted_Connection=yes;')

cursor = conn.cursor()

sql_query = pd.read_sql_query('SELECT * FROM TestDB.dbo.Person',conn)
print(sql_query)
print(type(sql_query))

pandas sql commands

SQL_Query = pd.read_sql_query(
'''select
product_name,
product_price_per_unit,
units_ordered,
((units_ordered) * (product_price_per_unit)) AS revenue
from tracking_sales''', conn)