How to sort 2 indexes in python - pandas

Question

I am trying to achieve some thing like the flowing result:
date symbol Open High low close
2016-12-23 AAPL 804.6 809.9 800.5 809.1
CSCO 29.8 29.8 29.8 29.8
2016-12-27 AAPL 824.6 842.3 822.15 835.77
CSCO 29.32 29.9 29.3 29.85
Here is my code:
from datetime import datetime
from iexfinance.stocks import get_historical_data
from pandas_datareader import data
import matplotlib.pyplot as plt
import pandas as pd
start = '2014-01-01'
end = datetime.today().utcnow()
symbol = ['AAPL', 'MSFT']
out = pd.DataFrame()
datasets_test = []
for d in symbol:
data_original = data.DataReader(d, 'iex', start, end)
data_original['symbol'] = d
data_original = data_original.set_index(['symbol'], append=True)
out = pd.concat([out,data_original],axis=0)
out.sort_index()
print(out.tail(5))
and this is my outcome:
open high low close volume
date symbol
2019-02-11 MSFT 106.20 106.58 104.9650 105.25 18914123
2019-02-12 MSFT 106.14 107.14 105.4800 106.89 25056595
2019-02-13 MSFT 107.50 107.78 106.7100 106.81 18394869
2019-02-14 MSFT 106.31 107.29 105.6600 106.90 21784703
2019-02-15 MSFT 107.91 108.30 107.3624 108.22 26606886
I am trying to get a sort within the 2 indexes (date + symbol) and getting confused on the use of the sort
thanks!