@@ -549,14 +549,19 @@ def __eq__(self, other):
549549
550550 for i , value in enumerate (indicators ):
551551 value = np .atleast_2d (value )
552+ if _too_many_dims (value ):
553+ continue
552554
553555 # Use .get()! A user might have assigned a Strategy.data-evolved
554556 # _Array without Strategy.I()
555- if not value ._opts .get ('plot' ) or _too_many_dims (value ):
557+ is_overlay = value ._opts .get ('overlay' )
558+ is_scatter = value ._opts .get ('scatter' )
559+ is_muted = not value ._opts .get ('plot' )
560+ 561+ # is overlay => show muted, hide legend item. non-overlay => don't show at all
562+ if is_muted and not is_overlay :
556563 continue
557564
558- is_overlay = value ._opts ['overlay' ]
559- is_scatter = value ._opts ['scatter' ]
560565 if is_overlay :
561566 fig = fig_ohlc
562567 else :
@@ -581,30 +586,31 @@ def __eq__(self, other):
581586 arr = arr .astype (int )
582587 source .add (arr , source_name )
583588 tooltips .append (f'@{{{ source_name } )
589+ kwargs = {}
590+ if not is_muted :
591+ kwargs ['legend_label' ] = legend_labels [j ]
584592 if is_overlay :
585593 ohlc_extreme_values [source_name ] = arr
586594 if is_scatter :
587- fig .circle (
595+ r2 = fig .circle (
588596 'index' , source_name , source = source ,
589- legend_label = legend_labels [j ], color = color ,
590- line_color = 'black' , fill_alpha = .8 ,
591- radius = BAR_WIDTH / 2 * .9 )
597+ color = color , line_color = 'black' , fill_alpha = .8 ,
598+ radius = BAR_WIDTH / 2 * .9 , ** kwargs )
592599 else :
593- fig .line (
600+ r2 = fig .line (
594601 'index' , source_name , source = source ,
595- legend_label = legend_labels [j ], line_color = color ,
596- line_width = 1.3 )
602+ line_color = color , line_width = 1.4 if is_muted else 1.5 , ** kwargs )
603+ # r != r2
604+ r2 .muted = is_muted
597605 else :
598606 if is_scatter :
599607 r = fig .circle (
600608 'index' , source_name , source = source ,
601- legend_label = legend_labels [j ], color = color ,
602- radius = BAR_WIDTH / 2 * .6 )
609+ color = color , radius = BAR_WIDTH / 2 * .6 , ** kwargs )
603610 else :
604611 r = fig .line (
605612 'index' , source_name , source = source ,
606- legend_label = legend_labels [j ], line_color = color ,
607- line_width = 1.3 )
613+ line_color = color , line_width = 1.3 , ** kwargs )
608614 # Add dashed centerline just because
609615 mean = try_ (lambda : float (pd .Series (arr ).mean ()), default = np .nan )
610616 if not np .isnan (mean ) and (abs (mean ) < .1 or
0 commit comments