import math
import matplotlib.pyplot as plt

def plotDartBoard(values, n):
    
   
    fig = plt.figure(figsize = (12, 12))
    ax = fig.add_subplot(111,
                         xlim = (-1.05, 1.05),
                         ylim = (-1.05, 1.05))

    #Remove axes and ticks.
    for side in ['bottom', 'left', 'top', 'right']:
        ax.spines[side].set_visible(False)
    ax.set_xticks([])
    ax.set_yticks([])

    #Circles.
    db_border = plt.Circle((0,0), 0.98, color = "#595959")
    db = plt.Circle((0,0), 0.97, color = "#EEEEEE") 
    ax.add_patch(db_border)
    ax.add_patch(db)
    
    #Sectors
    for i in (list(range(0, 19)) + [-1]):
        
        #Lines.
        a = math.radians(18*i+9)
        xa = 0.975*math.cos(a)
        ya = 0.975*math.sin(a)
        plt.plot((0, xa),
                 (0, ya),
                 c = "#595959",
                 lw = 3)
        
        #Points.
        b = math.radians(18*i)
        xb = 1.03*math.cos(b)
        yb = 1.03*math.sin(b)
        plt.annotate(values[i],
                     (xb, yb),
                     c = "k",
                     fontsize = 18,
                     ha = "center",
                     va = "center")
        
        #EVs
        ev = 0.25 * values[i-1] + 0.5 * values[i]+ 0.25 * values[i+1]
        xc = 0.75*math.cos(b)
        yc = 0.75*math.sin(b)
        plt.annotate(ev,
                     (xc, yc),
                     c = "#22A844",
                     fontsize = 18,
                     ha = "center",
                     va = "center")
        
    fig.savefig("2023.01.27 Express" + str(n) + ".png")

original = [11, 14, 9, 12, 5,
            20, 1, 18, 4, 13,
            6, 10, 15, 2, 17,
            3, 19, 7, 16, 8]
        
plotDartBoard(original, 1) 

optimized = [15, 5, 17, 3, 19,
             1, 20, 2, 18, 4,
             16, 6, 14, 8, 12,
             10, 11, 9, 13, 7]

optimized = [6, 16, 4, 18, 2,
             20, 1, 19, 3, 17,
             5, 15, 7, 13, 9,
             11, 10, 12, 8, 14]

plotDartBoard(optimized, 2) 

Rohan Lewis

2023.01.29