Web scraping stock with Python

I have case where I import from web two stock time series. In the further procedure I need to target one column in one table ...something like this

stock=["TSLA", "AAPL"]
start = dt.datetime(2015, 1, 1)
end = dt.datetime.now()
df = web.DataReader(stock, 'morningstar', start, end)

df['pct']= (df["TSLA"] ,["Close"] / df ["TSLA"] ,["Close"].shift(1))-1

Has anyone had a similar experience?