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