I am exploring the research environment, and want to plot some graph. I just copy most of the code from docs, but there is still something wrong. 

qb = QuantBook()

es = qb.AddFuture("ES")

es.SetFilter(timedelta(0), timedelta(90))

start_date = datetime(2014, 7, 1, 9, 30)

end_date =  datetime(2014, 7, 3, 23, 59)

future_history = qb.GetFutureHistory(es.Symbol, start_date, end_date, Resolution.Minute)

future_history.GetAllData()

history = future_history.GetAllData()

# drop expiry and symbols

history.reset_index(level = 0, drop = True, inplace=True)

history.reset_index(level = 0, drop = True, inplace=True)

# consolidate to 5 min bars

close_prices = history["close"]

offset = '5T'

df_5min_ohlc = close_prices.resample(offset).ohlc()





# I copied the below code, but still have an error 



# manually update the indicator

bb = BollingerBands(30, 2)

bb_values = {'time': [], 'upperband': [], 'middleband': [], 'lowerband': []}

for row in df_5min_ohlc.itertuples():

    time = row.Index 

    close = row.close

    bb.Update(time, close)

    if bb.IsReady:

        bb_values['time'].append(time)  # Save timestamps to create index for dataframe

        bb_values['upperband'].append(bb.UpperBand.Current.Value)

        bb_values['middleband'].append(bb.MiddleBand.Current.Value)

        bb_values['lowerband'].append(bb.LowerBand.Current.Value)



consolidated_bbdf =  pd.DataFrame(bb_values, columns=['time', 'upperband', 'middleband', 'lowerband'])  

consolidated_bbdf = consolidated_bb.set_index('time')

TypeError: No method matches given arguments for Update: (<class 'pandas._libs.tslibs.timestamps.Timestamp'>, <class 'float'>)

Error related Code:

bb.Update(time, close)

So what should I pass instead?

Thx in advance