#original from http://www.traineetrader.com/importing-stock-data-from-yahoo-using-python/
#modified by http://www.neuralmarkettrends.com (NMT)

import ystockquote

#added the matplotlib (NMT)
import matplotlib.pyplot as plt

# Get Quotes 01/01/2006 - 01/01/2009

GOOG = ystockquote.get_historical_prices('GOOG', '20100101', '20101203')

# Create empty lists, quick and dirty

GOOGOpen = [ ]
GOOGClose = [ ]
GOOGDate = [ ]
GOOGHigh = [ ]
GOOGLow = [ ]
GOOGAdj = [ ]
GOOGVolume = [ ]

# Populate lists from downloaded data

for i in range(1, 225):
    GOOGDate.append(GOOG[i][0])
    GOOGOpen.append(GOOG[i][1])
    GOOGHigh.append(GOOG[i][2])
    GOOGLow.append(GOOG[i][3])
    GOOGClose.append(GOOG[i][4])
    GOOGVolume.append(GOOG[i][5])
    GOOGAdj.append(GOOG[i][6])

#adjusted the plotting functions and added plt.show() (NMT)
plt.plot(GOOGAdj)
plt.title('Google Adjusted Close')
plt.ylabel('GOOG Closing Price ($USD)')
plt.xlabel('Date')
plt.grid(True)
plt.show()