{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Time Series Data\n", "> Date can be set as ```index``` in Pandas. \n", "> When **index** is date, ```parse_dates=True``` allows Python to parse the index as date. " ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline\n" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "mcdon = pd.read_csv('mcdonalds.csv',index_col='Date',parse_dates=True)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", " | Adj. Close | \n", "Adj. Volume | \n", "
---|---|---|
Date | \n", "\n", " | \n", " |
1970-01-02 | \n", "0.209761 | \n", "2825604.0 | \n", "
1970-01-05 | \n", "0.213316 | \n", "2210449.5 | \n", "
1970-01-06 | \n", "0.214501 | \n", "1951168.5 | \n", "
1970-01-07 | \n", "0.213316 | \n", "2728768.5 | \n", "
1970-01-08 | \n", "0.213316 | \n", "2242404.0 | \n", "