{ "cells": [ { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "import pandas_datareader.data as web\n", "import datetime" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": true, "deletable": true, "editable": true }, "outputs": [], "source": [ "# We specify the timeframe and download the prices with Yahoo Finance\n", "start = datetime.datetime(2011, 1, 1)\n", "end = datetime.datetime(2014, 1, 27)\n", "coke_prices = web.DataReader(\"KO\", 'yahoo', start, end)\n", "pepsi_prices = web.DataReader(\"PEP\", 'yahoo', start, end)" ] }, { "cell_type": "markdown", "metadata": { "deletable": true, "editable": true }, "source": [ "Let us take a look at what we downloaded." ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "data": { "text/html": [ "
\n", " | Open | \n", "High | \n", "Low | \n", "Close | \n", "Volume | \n", "Adj Close | \n", "
---|---|---|---|---|---|---|
Date | \n", "\n", " | \n", " | \n", " | \n", " | \n", " | \n", " |
2011-01-03 | \n", "65.879997 | \n", "65.879997 | \n", "65.110001 | \n", "65.220001 | \n", "18945600 | \n", "27.033453 | \n", "
2011-01-04 | \n", "65.019997 | \n", "65.190002 | \n", "63.810001 | \n", "63.869999 | \n", "27940400 | \n", "26.473882 | \n", "
2011-01-05 | \n", "63.790001 | \n", "63.950001 | \n", "62.860001 | \n", "63.490002 | \n", "34379000 | \n", "26.316375 | \n", "
2011-01-06 | \n", "63.619999 | \n", "63.660000 | \n", "62.830002 | \n", "63.029999 | \n", "21712400 | \n", "26.125705 | \n", "
2011-01-07 | \n", "62.779999 | \n", "63.000000 | \n", "62.560001 | \n", "62.919998 | \n", "16592800 | \n", "26.080110 | \n", "