def plot1():
fig = plt.figure()
ax = fig.add_subplot(111, title="Boosted POW 15's vs 32 Health", xlabel="ARM")
boostedhtk = hitsToKill(3)
dt = damageTable(3, 0, 30, 0, 30)
dt.expectedDamage( dmgstat(19, 16) )
POW = 15
health = 32
X2 = np.arange(15, 26, 1)
Y1 = np.array( [ dt.expectedDamage( dmgstat(x, POW) ) for x in X2] )
Y2 = np.array( [ boostedhtk.avgHitsToKill(x - POW, health) for x in X2 ] )
print X2
print Y1
print Y2
ax.scatter( 19, boostedhtk.avgHitsToKill(19 - POW, health), c='red', marker='o')
ax.scatter( 22, boostedhtk.avgHitsToKill(22 - POW, health), c='red', marker='o')
ax.plot (X2, Y1, label="Expected Damage", linewidth=2.5, c='blue')
ax.plot (X2, Y2, label="Hits to Kill", linewidth=2.5, c='red')
ax.plot ( [19, 19],[-1, boostedhtk.avgHitsToKill(19 - POW, health)] )
ax.legend(loc='upper left')
plt.show()
def plot2():
htk = hitsToKill(2)
#dt = damageTable(2)
dt = damageTable(2, 0, 30, 0, 30)
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
x = htk.PMA
y = htk.modelHealth
X, Y = np.meshgrid(x, y)
zs = np.array( [ dt.dmg(x, y) for x, y in zip(np.ravel(X), np.ravel(Y)) ])
Z = zs.reshape(X.shape)
ax.plot_surface(X,Y,Z, rstride=1, cstride=1, cmap=cm.Paired)
ax.set_xlabel('ARM')
ax.set_ylabel('POW')
ax.set_zlabel('Expected Dmg')
plt.show()