Graphing Finance Data

import urllib2

###
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.ticker as mticker
import matplotlib.dates as mdates
import numpy as np
###





def grabQuandl(ticker):

    netIncomeAr = []
    revAr = []
    ROCAr = []
    
    
    endLink = 'sort_order=asc'

    endLink2 = 'sort_order=asc&auth_token=asdfasdfsagsvasd'
    try:
        urlAttempt = 'http://www.quandl.com/api/v1/datasets/OFDP/DMDRN_'+ticker+'_NET_INC.csv?&'+endLink2
        print urlAttempt
        netIncome = urllib2.urlopen('http://www.quandl.com/api/v1/datasets/OFDP/DMDRN_'+ticker+'_NET_INC.csv?&'+endLink2).read()
        revenue = urllib2.urlopen('http://www.quandl.com/api/v1/datasets/OFDP/DMDRN_'+ticker+'_REV_LAST.csv?&'+endLink2).read()
        ROC = urllib2.urlopen('http://www.quandl.com/api/v1/datasets/OFDP/DMDRN_'+ticker+'_ROC.csv?&'+endLink2).read()


        ####
        splitNI = netIncome.split('\n')
        print 'Net Income:'
        for eachNI in splitNI[1:-1]:
            print eachNI
            netIncomeAr.append(eachNI)
            
        print '___________'
        splitRev = revenue.split('\n')
        print 'Revenue:'
        for eachRev in splitRev[1:-1]:
            print eachRev
            revAr.append(eachRev)
            
        print '___________'
        splitROC = ROC.split('\n')
        print 'Return on Capital:'
        for eachROC in splitROC[1:-1]:
            print eachROC
            ROCAr.append(eachROC)
        ####

        incomeDate, income = np.loadtxt(netIncomeAr, delimiter=',', unpack=True,
                                        converters={ 0: mdates.strpdate2num('%Y-%m-%d')})

    
        fig = plt.figure()
        ax1 = plt.subplot2grid((6,4), (0,0), rowspan=6, colspan=4)
        ax1.plot(incomeDate,income)
        plt.show()
        


    except Exception, e:
        print 'failed the main quandl loop for reason of',str(e)

grabQuandl('YHOO')
		

The next tutorial: Finishing the Graphing