Plotting code broken after update packages

[FredYellow]

Hello all,

I had a working program running in my pipenv shell untill I updated all dependencies using

pipenv update

Now I get the following error when my code tries to plot the result of a backtest:

Traceback (most recent call last):
  File "main.py", line 942, in <module>
    cerebro.plot(b)
        # Plot Bokeh object
  File "C:\Users\Craptop\.virtualenvs\FREBT-VbURPJvn\lib\site-packages\backtrader\cerebro.py", line 991, in plot
    start=start, end=end, use=use)
  File "C:\Users\Craptop\.virtualenvs\FREBT-VbURPJvn\lib\site-packages\backtrader_plotting\bokeh\bokeh.py", line 511, in plot
    df: pd.DataFrame = self.build_strategy_data(obj, start, end)
  File "C:\Users\Craptop\.virtualenvs\FREBT-VbURPJvn\lib\site-packages\backtrader_plotting\bokeh\bokeh.py", line 473, in build_strategy_data
    for lineidx in range(obj.size()):
AttributeError: 'LinesOperation' object has no attribute 'size'

My entire code still works fine, it's just the plotting (I'm using Bokeh) that seems broken. I have been searching for a solution but can't find one. Can anyone point me in the right direction?

Regards,
Frederik

[Richard Klein]

@fredyellow I'm also having this problem. Any updates?

[Richard Klein]

@richard-klein
The following edits seem to have fixed this for me. Admittedly, probably not very robust, but it seems strategy.getindicators() was returning all line objects--not all are indicators. Used "if not hasattr(obj, 'plotinfo')" to ensure we were working with indicators.

backtrader_plotting/bokeh/label_resolver.py

def indicator2fullid(ind: bt.Indicator) -> str:
    """Returns a string listing allZ involved data feeds. Empty string if there is only a single feed in the mix"""
    names = []

    # EDITED 
    if not hasattr(ind, 'plotinfo'):
        return

    for x in ind.datas:
    
        #EDITED
        #elif isinstance(x, bt.AbstractDataBase):        
        if isinstance(x, bt.AbstractDataBase):
            return datatarget2label([x])

        elif isinstance(x, bt.LineSeriesStub):
            # indicator target is one specific line of a datafeed
            # AFAIK it's not possible to know which line it is so we only add a generic indicator "[L]"
            return datatarget2label([x._owner]) + '[L]'
        elif isinstance(x, bt.Indicator):
            names.append(indicator2label(x))
    return f"({','.join(names)})"

backtrader_plotting/bokeh/bokeh.py

    def build_strategy_data(self, strategy: bt.Strategy,
                            start: Optional[datetime.datetime] = None, end: Optional[datetime.datetime] = None,
                            num_back: Optional[int] = None,
                            startidx: int = 0):
        """startidx: index number to write into the dataframe for the index column"""
        strategydf = pd.DataFrame()

        start, end = Bokeh._get_start_end(strategy, start, end)

        strat_clk: array[float] = strategy.lines.datetime.plotrange(start, end)

        # if patches occured then we see duplicate entries in the strategie clock -> clean them
        strat_clk = np.unique(strat_clk)

        if num_back is None:
            num_back = len(strat_clk)

        strat_clk = strat_clk[-num_back:]

        # we use timezone of first data. we might see duplicated timestamps here
        dtline = [bt.num2date(x, strategy.datas[0]._tz) for x in strat_clk]

        # add an index line to use as x-axis (instead of datetime axis) to avoid datetime gaps (e.g. weekends)
        indices = list(range(startidx, startidx + len(dtline)))
        strategydf['index'] = indices

        strategydf['datetime'] = dtline

        for data in strategy.datas:
            source_id = FigureEnvelope._source_id(data)
            df_data = convert_to_pandas(strat_clk, data, start, end, source_id)

            strategydf = strategydf.join(df_data)

            df_colors = FigureEnvelope.build_color_lines(df_data, self.p.scheme, col_open=source_id + 'open', col_close=source_id + 'close', col_prefix=sourc$
            strategydf = strategydf.join(df_colors)

        for obj in itertools.chain(strategy.getindicators(), strategy.getobservers()):
            #for lineidx in range(obj.size()):

            # EDITED
            if not hasattr(obj, 'plotinfo'):
                continue
            ################

            for lineidx in range(obj.size()):
                line = obj.lines[lineidx]
                source_id = FigureEnvelope._source_id(line)
                dataline = line.plotrange(start, end)

                line_clk = get_clock_line(obj).plotrange(start, end)
                dataline = convert_by_line_clock(dataline, line_clk, strat_clk)
                strategydf[source_id] = dataline

        # apply a proper index (should be identical to 'index' column)
        if strategydf.shape[0] > 0:
            strategydf.index = indices
        return strategydf

[FredYellow]

@richard-klein That fixed it! Well done!
What could be the cause of this?

[FredYellow]

Now the Bokeh plotting works again, however it seems all of the parameters given in the object constructor are ignored:

b = Bokeh(	filename='FREBT.html',					# Bokeh plotting object constructor
                    title='FREBT',
                    style='bar', 										# Candlesticks
                    plot_mode="single",									# single / tabs
                    plot_width=1550,                                    # 
                    plot_height_data = 500,                             # See Scheme.py on Github "backtrader_plotting " for all possible params concerning Bokeh layout
                    plot_height_observer = 120,
                    plot_height_indicator = 100,
                    legend_click = "hide",								# Hides line clicked on. "Mute" disables this
                    legend_background_transparency = 0.9,
                    tools = "pan,wheel_zoom,box_zoom,reset,save")
		cerebro.plot(b)

Any ideas?

[Richard Klein]

@fredyellow
This works for me.

    b = Bokeh(style='bar',scheme=Tradimo(),output_mode='save',filename='test.html')
    cerebro.plot(b)

Maybe try editing the "Tradimo" scheme to include your parameters or create a new scheme and load your parameters via that custom scheme--scheme=custom().
backtrader_plotting/schemes/Tradimo.py