Hello,

I am encountering an issue while using backtesting.py for my trading strategy backtesting, specifically when attempting to plot the results of an optimization. I am receiving a TypeError along with several warnings related to Bokeh's DatetimeTickFormatter and toolbar properties. Below are the details of the issue:
Environment:

Python 3.9
Backtesting.py version: 0.3.3
Bokeh version: 2.3.3

Code Snippet:

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

class System(Strategy):
d_rsi = 30 # Daily RSI lookback periods
w_rsi = 30 # Weekly
level = 70

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

class System(Strategy):
d_rsi = 30 # Daily RSI lookback periods
w_rsi = 30 # Weekly
level = 70

def init(self):
 # Compute moving averages the strategy demands
 self.ma10 = self.I(SMA, self.data.Close, 10)
 self.ma20 = self.I(SMA, self.data.Close, 20)
 self.ma50 = self.I(SMA, self.data.Close, 50)
 self.ma100 = self.I(SMA, self.data.Close, 100)
 
 # Compute daily RSI(30)
 self.daily_rsi = self.I(RSI, self.data.Close, self.d_rsi)
 
 # To construct weekly RSI, we can use `resample_apply()`
 # helper function from the library
 self.weekly_rsi = resample_apply(
 'W-FRI', RSI, self.data.Close, self.w_rsi)
 
def next(self):
 price = self.data.Close[-1]
 
 # If we don't already have a position, and
 # if all conditions are satisfied, enter long.
 if (not self.position and
 self.daily_rsi[-1] > self.level and
 self.weekly_rsi[-1] > self.level and
 self.weekly_rsi[-1] > self.daily_rsi[-1] and
 self.ma10[-1] > self.ma20[-1] > self.ma50[-1] > self.ma100[-1] and
 price > self.ma10[-1]):
 
 # Buy at market price on next open, but do
 # set 8% fixed stop loss.
 self.buy(sl=.92 * price)
 
 # If the price closes 2% or more below 10-day MA
 # close the position, if any.
 elif price < .98 * self.ma10[-1]:
 self.position.close()

from backtesting.test import GOOG

backtest = Backtest(GOOG, System, commission=.002)
backtest.run()

backtest.optimize(d_rsi=range(10, 35, 5),
w_rsi=range(10, 35, 5),
level=range(30, 80, 10))

backtest.plot()

Error Message:

BokehDeprecationWarning: Passing lists of formats for DatetimeTickFormatter scales was deprecated in Bokeh 3.0. Configure a single string format for each scale ... UserWarning: DatetimeFormatter scales now only accept a single format. Using the first provided: '%d %b' ... UserWarning: found multiple competing values for 'toolbar.active_drag' property; using the latest value ... TypeError: bokeh.models.tools.Toolbar() got multiple values for keyword argument 'logo'
When I attempt to plot the results of a backtest optimization using the above code snippet, I encounter the aforementioned warnings and error. The warnings seem to suggest that there are deprecated usages of DatetimeTickFormatter and conflicting toolbar property values in the underlying _plotting.py of backtesting.py. The TypeError appears to be related to the 'logo' keyword argument in Bokeh's Toolbar model.

I have tried using different versions of Bokeh and backtesting.py to see if the issue persists across versions.
I have searched through existing issues in this repository and relevant forums but have not found a solution that addresses this problem.

I would greatly appreciate any guidance on how to resolve this issue, and I am happy to provide any additional information if needed. Thank you in advance for your time and assistance!