import pandas as pd
from pandas import datetime
import seaborn as sns
from ipywidgets import interact
import matplotlib.pyplot as plt
%matplotlib inline
import pyodbc
import adodbapi
%load_ext sql
import numpy as np
# MSSQL Management Studio Connection
conn = pyodbc.connect('Driver={SQL server};'
'server=DESKTOP-DS7J579\PYTHON_DA;'
'Database=AdventureWorks2012;'
'uid=PyXXXXXXXX;'
'pwd=PyXXXXXXXX;'
'trusted_connection=yes')
cursor = conn.cursor()
# Sample SQL Data pull
df = pd.read_sql_query('select FirstName,'
'LastName,'
'City,'
'StateProvinceName '
'from Sales.vIndividualCustomer',conn)
# Display Query
df.head()
FirstName | LastName | City | StateProvinceName | |
---|---|---|---|---|
0 | Aaron | Adams | Downey | California |
1 | Adam | Adams | Newport Beach | California |
2 | Alex | Adams | Lake Oswego | Oregon |
3 | Alexandra | Adams | Burlingame | California |
4 | Allison | Adams | Roubaix | Nord |