REF: Migrate plotting for Bokeh 3.0

Author: kernc

backtesting/_plotting.py

@@ -212,8 +212,8 @@ def plot(*, results: pd.Series,
     new_bokeh_figure = partial(
         _figure,
         x_axis_type='linear',
-        plot_width=plot_width,
-        plot_height=400,
+        width=plot_width,
+        height=400,
         tools="xpan,xwheel_zoom,box_zoom,undo,redo,reset,save",
         active_drag='xpan',
         active_scroll='xwheel_zoom')
@@ -269,7 +269,7 @@ def plot(*, results: pd.Series,
         ('Volume', '@Volume{0,0}')]
 
     def new_indicator_figure(**kwargs):
-        kwargs.setdefault('plot_height', 90)
+        kwargs.setdefault('height', 90)
         fig = new_bokeh_figure(x_range=fig_ohlc.x_range,
                                active_scroll='xwheel_zoom',
                                active_drag='xpan',
@@ -334,7 +334,7 @@ def _plot_equity_section(is_return=False):
         source.add(equity, source_key)
         fig = new_indicator_figure(
             y_axis_label=yaxis_label,
-            **({} if plot_drawdown else dict(plot_height=110)))
+            **({} if plot_drawdown else dict(height=110)))
 
         # High-watermark drawdown dents
         fig.patch('index', 'equity_dd',
@@ -697,8 +697,8 @@ def plot_heatmaps(heatmap: pd.Series, agg: Union[Callable, str], ncols: int,
                       y_range=level2,
                       x_axis_label=name1,
                       y_axis_label=name2,
-                      plot_width=plot_width // ncols,
-                      plot_height=plot_width // ncols,
+                      width=plot_width // ncols,
+                      height=plot_width // ncols,
                       tools='box_zoom,reset,save',
                       tooltips=[(name1, '@' + name1),
                                 (name2, '@' + name2),