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stock.py

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+import pandas as pd
+'''import quandl
+a=quandl.get("NSE/RELIANCE", start_date="2016-06-12")
+print a.head()
+a['%_CHANGE']=(a['Close']-a['Open']) % a['Open']
+#a=a[['%_CHANGE']]
+print a '''
+import datetime
+import pandas.io.data as web
+import matplotlib.pyplot as plt
+from matplotlib import style
+style.use('fivethirtyeight')
+
+start=datetime.datetime(2012,1,1)
+end=datetime.datetime(2015,1,1)
+df =web.DataReader("XOM","yahoo",start,end)
+print df.head()
+df['Low'].plot()
+plt.legend()
+plt.show()