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)Copyright © 2021 Codeinu
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