Appending results of for loop to pandas dataframe

Question

I have tried a few different methods to store the results of the 'pandas-datareader' function returning a pandas dataframe object embedded in a for loop. The output continues overwriting despite use of the df.append method. Additionally, it would be beneficial if possible to suppress headers from subsequent calls to the DataReader function and only retain the numerical output.

for e in eqy[0:5]:

  try:
        prices = web.DataReader(e, 'google', start, end)
        prices = pd.DataFrame.append(prices)
  except:
        pass

print prices

Answer 1

I found a potential solution that seems to work for my case but I am open to other answers suggesting quicker methods. I believe this current dataframe appending method is inefficient from a resource perspective.

price_new = pd.DataFrame()
for e in eqy[0:5]:

  try:
        prices = web.DataReader(e, 'google', start, end)
        prices['Ticker'] = e
        price_new = price_new.append(pd.DataFrame(prices))
  except:
        pass

print price_new