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stock = 'MSFT'   # Display names are stored in notebook metadata
days_back = 600


    

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import datetime

import pandas as pd
import pandas_datareader.data as webdata
from matplotlib import pyplot as plt
%matplotlib inline


    

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now = datetime.date.today()
start = now - datetime.timedelta(days=days_back)
df = webdata.get_data_yahoo(stock, start=start, end=now)['prices']


    

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df


    

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close_px = df['Adj Close']
mavg = close_px.rolling(window=30, center=False).mean()


    

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close_px.plot(label=stock)
mavg.plot(label='mavg')
plt.legend()