def show_ternary(actor: Actor):
global quantize
global scale
figure, tax = ternary.figure(scale=scale)
figure.set_size_inches(6, 6)
# Set ticks
tax.ticks(axis='lbr', linewidth=1, multiple=5, offset=0.03)
# Remove default Matplotlib Axes
tax.clear_matplotlib_ticks()
tax.get_axes().axis('off')
tax.horizontal_line(16)
tax.left_parallel_line(10, linewidth=2., color='red', linestyle="--")
tax.right_parallel_line(20, linewidth=3., color='blue')
#scale = 100
figure, tax = ternary.figure(scale=scale)
tax.boundary(linewidth=0.3)
tax.gridlines(multiple=Settings.get_quantize(), color="gray")
tax.ax.axis('off')
size = Settings.get_quantize() / scale * 150
#simulate stale
stale = [Element.location for Element in actor.Elements if Element.state == Status.STALE]
for p in stale:
q = [p.coordinates()]
tax.plot(q, marker='o', color="white", markersize=size*0.8, alpha=0.05, markeredgecolor='gray', markeredgewidth=4.0)
# simulate rejections
rejected = [Element.location for Element in actor.Elements if Element.state == Status.REJECTED]
for p in rejected:
q = [p.coordinates()]
tax.plot(q, marker='^', color="white", markersize=size, alpha=0.2 ,markeredgecolor='black', markeredgewidth=1.0 )
#simulate acceptances
accepted = [Element.location for Element in actor.Elements if Element.state == Status.ACCEPTED]
for p in accepted:
q = [p.coordinates()]
tax.plot(q, marker='*', color=p.to_color_string(), markersize=size*1.2, alpha=1.0 )
#highlight new point:
new = [Element.location for Element in actor.Elements if Element.state == Status.NEW]
for p in new:
q = [p.coordinates()]
tax.plot(q, marker='o', color=p.to_color_string(), markersize=size+4, alpha=0.9,markeredgecolor='yellow', markeredgewidth=4)
# actor owned Elements:
owned = [Element.location for Element in actor.Elements if Element.state == Status.OWNED]
for p in owned:
q = [p.coordinates()]
tax.plot(q, marker='o', color=p.to_color_string(), markersize=size, alpha=1)
# simulate recommendations
recommended = [Element.location for Element in actor.Elements if Element.state == Status.RECOMMENDED]
for p in recommended:
q = [p.coordinates()]
tax.plot(q, marker='*', color="yellow", markersize=size, alpha= 0.8)
return figure
