I get the correct time zone in print, but plot shows UTC. How do I get my time zone in plotting?

Adding ticker TQQQ using 15Min timeframe at 15 minutes.
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datetime :2020-11-03 06:30:00
datetime :2020-11-03 06:45:00
datetime :2020-11-03 07:00:00
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P/L: $0.0

from datetime import datetime,timezone
import backtrader as bt
import pytz
from local_settings import alpaca_paper
import alpaca_backtrader_api as alpaca

ALPACA_KEY_ID = alpaca_paper['api_key']
ALPACA_SECRET_KEY = alpaca_paper['api_secret']
ALPACA_PAPER = True

fromdate = datetime(2020,11,1)
todate = datetime(2020,11,3)
timezone = pytz.timezone('America/Los_Angeles')

tickers = ['TQQQ']
timeframes = {
    '15Min':15,

}


        
class MyAlgo(bt.Strategy):
    # list of parameters which are configurable for the strategy
    params = dict(
        pfast=5,  # period for the fast moving average
        pslow=10   # period for the slow moving average
    )

    def __init__(self):
        self.sma1 = bt.ind.SMA(self.datas[0].close,period=self.p.pfast)  # fast moving average
        self.sma2 = bt.ind.SMA(self.datas[0].close,period=self.p.pslow)  # slow moving average
       
  
    def next(self):
        # if not self.position:
        #     if self.stochrsi < 0.30:
        #         self.buy(size=100)
        # else:
        #     if self.stochrsi > 0.70 and self.position.price <= self.data.close[0]:
        #         self.sell(size=100)
        #dt_utc = datetime.fromtimestamp(self.data.datetime, timezone.utc)
        #dt_eastern = dt_utc.astimezone(pytz.timezone("US/Eastern"))
        print(f'time :{self.data.datetime.time()} ')        


cerebro = bt.Cerebro()  # create a "Cerebro" engine instance
cerebro.broker.set_cash(100_000)
cerebro.addtz(pytz.timezone('America/Los_Angeles'))
store = alpaca.AlpacaStore(
    key_id=ALPACA_KEY_ID,
    secret_key=ALPACA_SECRET_KEY,
    paper=ALPACA_PAPER
)

if not ALPACA_PAPER:
    print(f"LIVE TRADING")
    broker = store.getbroker()
    cerebro.setbroker(broker)

DataFactory = store.getdata

for ticker in tickers:
    for timeframe, minutes in timeframes.items():
        print(f'Adding ticker {ticker} using {timeframe} timeframe at {minutes} minutes.')

        data = DataFactory(
            dataname=ticker,
            tz=pytz.timezone('America/Los_Angeles'), #
            timeframe=bt.TimeFrame.Minutes,
            compression=minutes,
            fromdate=fromdate,
            todate=todate,
            historical=True)
        cerebro.adddata(data)


cerebro.addstrategy(MyAlgo)  # Add the trading strategy

cerebro.run()  # run it all
#Get final portfolio Value
portvalue = cerebro.broker.getvalue()
pnl = portvalue - 100_000

#Print out the final result
print('Final Portfolio Value: ${}'.format(portvalue))
print('P/L: ${}'.format(pnl))

cerebro.plot(style='candlestick', barup='green',volume=False, bardown='red',tz=pytz.timezone('America/Los_Angeles'))  # and plot it with a single command