Getting BokehDeprecationWarning on DatetimeFormatter running the demo in readme.md

[jenko]

Expected Behavior

(Same as what's displayed in the readme of the backtesting repo)

Actual Behavior

BokehDeprecationWarning: Passing lists of formats for DatetimeTickFormatter scales was deprecated in Bokeh 3.0. Configure a single string format for each scale
/home/jenko/.local/lib/python3.10/site-packages/bokeh/models/formatters.py:399: UserWarning: DatetimeFormatter scales now only accept a single format. Using the first prodvided: '%d %b'
  warnings.warn(f"DatetimeFormatter scales now only accept a single format. Using the first prodvided: {fmt[0]!r} ")
BokehDeprecationWarning: Passing lists of formats for DatetimeTickFormatter scales was deprecated in Bokeh 3.0. Configure a single string format for each scale
/home/jenko/.local/lib/python3.10/site-packages/bokeh/models/formatters.py:399: UserWarning: DatetimeFormatter scales now only accept a single format. Using the first prodvided: '%m/%Y'
  warnings.warn(f"DatetimeFormatter scales now only accept a single format. Using the first prodvided: {fmt[0]!r} ")

Steps to Reproduce

1. pip install backtesting
2. copy code from repo readme to demo.py
3. run code in python 3.10.6 on Ubuntu 20.04.1 LTS as "python demo.py"

from backtesting import Backtest, Strategy
from backtesting.lib import crossover

from backtesting.test import SMA, GOOG


class SmaCross(Strategy):
    def init(self):
        price = self.data.Close
        self.ma1 = self.I(SMA, price, 10)
        self.ma2 = self.I(SMA, price, 20)

    def next(self):
        if crossover(self.ma1, self.ma2):
            self.buy()
        elif crossover(self.ma2, self.ma1):
            self.sell()


bt = Backtest(GOOG, SmaCross, commission=.002,
              exclusive_orders=True)
stats = bt.run()
bt.plot()

Additional info

• Backtesting version: 0.?.?
  pip freeze | grep -i backtesting
  Backtesting==0.3.3

This error is triggered by the line

bt.plot()

if I comment it out, there are no errors.

[ShubhamBhut]

I am facing exact same issue, I think it is due to update on bokeh library. Though I haven't found any solution to this.