Allow to annotate the points of plot_tradeoff graphs (which use peeling_trajectory DataFrames) with id labels. Add the optional annotated parameter with value True to do so (by default it's False, replicating current behaviour.

This makes it easy to quickly identify points on the tradeoff graphs which look interesting. Works best with large graphs (using Figure.set_size_inches).

Example usage:

from ema_workbench.analysis import prim

x = experiments
y = outcomes["max_P"] < 0.8
prim_alg = prim.Prim(x, y, threshold=0.8)
box1 = prim_alg.find_box()
box1.peeling_trajectory["id"] = box1.peeling_trajectory["id"].astype(int).astype(str)

fig = box1.show_tradeoff(annotated=True)
fig.set_size_inches((20,10))
fig.show()