Stacking AS Source

import matplotlib.pyplot as plt


# final variables
base_AS = 0.75
rb_increment = base_AS * .06        # rb = Rageblade
rb_AS = base_AS * .1


# no rageblade scenario
attack_speed = base_AS
auto = 1
time_until_attack = 1 / attack_speed
points = []
points.append((0, 0))
for centisecond in range(3100):
    if time_until_attack < 0:
        points.append((centisecond / 100, auto))
        time_until_attack = 1 / attack_speed
        auto += 1
    time_until_attack -= 0.01

xs = [x[0] for x in points]
ys = [x[1] for x in points]
plt.plot(xs, ys, label = 'No Rageblade')


# one rageblade scenario
attack_speed = base_AS + rb_AS
auto = 1
time_until_attack = 1 / attack_speed
points = []
capped = False
points.append((0, 0))
for centisecond in range(3100):
    if attack_speed > 5:
        capped = True
        attack_speed = 5
        time_until_attack = 1 / attack_speed
    if time_until_attack < 0 and capped == False:
        points.append((centisecond / 100, auto))
        attack_speed += rb_increment
        time_until_attack = 1 / attack_speed
        auto += 1
    elif time_until_attack < 0 and capped == True:
        points.append((centisecond / 100, auto))
        time_until_attack = 1 / attack_speed
        auto += 1
    time_until_attack -= 0.01

xs = [x[0] for x in points]
ys = [x[1] for x in points]
plt.plot(xs, ys, label = '1 Rageblade')


# two rageblades scenario
attack_speed = base_AS + rb_AS * 2
auto = 1
time_until_attack = 1 / attack_speed
points = []
capped = False
points.append((0, 0))
for centisecond in range(3100):
    if attack_speed > 5:
        capped = True
        attack_speed = 5
        time_until_attack = 1 / attack_speed
    if time_until_attack < 0 and capped == False:
        points.append((centisecond / 100, auto))
        attack_speed += 2 * rb_increment
        time_until_attack = 1 / attack_speed
        auto += 1
    elif time_until_attack < 0 and capped == True:
        points.append((centisecond / 100, auto))
        time_until_attack = 1 / attack_speed
        auto += 1
    time_until_attack -= 0.01

xs = [x[0] for x in points]
ys = [x[1] for x in points]
plt.plot(xs, ys, label = '2 Rageblades')


# three rageblades scenario
attack_speed = base_AS + rb_AS * 3
auto = 1
time_until_attack = 1 / attack_speed
points = []
capped = False
points.append((0, 0))
for centisecond in range(3100):
    if attack_speed > 5:
        capped = True
        attack_speed = 5
        time_until_attack = 1 / attack_speed
    if time_until_attack < 0 and capped == False:
        points.append((centisecond / 100, auto))
        attack_speed += 3 * rb_increment
        time_until_attack = 1 / attack_speed
        auto += 1
    elif time_until_attack < 0 and capped == True:
        points.append((centisecond / 100, auto))
        time_until_attack = 1 / attack_speed
        auto += 1
    time_until_attack -= 0.01

xs = [x[0] for x in points]
ys = [x[1] for x in points]
plt.plot(xs, ys, label = '3 Rageblades')


# one rageblade and RFC scenario
attack_speed = base_AS + rb_AS + base_AS * 0.5
auto = 1
time_until_attack = 1 / attack_speed
points = []
capped = False
points.append((0, 0))
for centisecond in range(3100):
    if attack_speed > 5:
        capped = True
        attack_speed = 5
        time_until_attack = 1 / attack_speed
    if time_until_attack < 0 and capped == False:
        points.append((centisecond / 100, auto))
        attack_speed += rb_increment
        time_until_attack = 1 / attack_speed
        auto += 1
    elif time_until_attack < 0 and capped == True:
        points.append((centisecond / 100, auto))
        time_until_attack = 1 / attack_speed
        auto += 1
    time_until_attack -= 0.01

xs = [x[0] for x in points]
ys = [x[1] for x in points]
plt.plot(xs, ys, label = '1 Rageblade and RFC')


# plotting/formatting stuff
plt.xlabel('Seconds', fontsize=16)
plt.ylabel('Autos', fontsize=16)
plt.legend(loc = 'upper left')
plt.title('Total Autos based on Number of Rageblades (0.75 base AS)', fontdict={'fontsize': 18})

plt.grid(b=True, which='major', color='blue', linestyle='-', linewidth = 0.5)
plt.grid(b=True, which='minor', color='gray', linestyle='-', linewidth = 0.1)
plt.minorticks_on()
plt.yticks(fontsize=14)
plt.xticks(fontsize=14)
plt.show()