File:Inserter Efficiency Graph (Capacity Bonus 5) .png

Graph showing efficiency of different inserters at different throughputs. This version has capacity bonus 5. Intersection points are marked.

Code to recreate if needed

import matplotlib.pyplot as plt import numpy as np from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes

burner_speed = 60 / 76 yellow_speed = 60 / 70 red_speed = 60 / 50 blue_speed = 60 / 24

yellow_drain = 0.4 blue_drain = 0.5 green_drain = 1

burner_energy = 66.9 yellow_energy = 6.65 red_energy = 7 blue_energy = 8.12 green_energy = 23.2 stack_energy = 46.4

stack_size = 2 green_stack = 8 stack_stack = 12

x = np.linspace(0, blue_speed * stack_stack, 300)

yellow_count = np.trunc(x / (yellow_speed * stack_size)) + 1 red_count = np.trunc(x / (red_speed * stack_size)) + 1 blue_count = np.trunc(x / (blue_speed * stack_size)) + 1 green_count = np.trunc(x / (blue_speed * green_stack)) + 1

dynamic_stack = x / stack_size dynamic_green = x / green_stack dynamic_stacker = x / stack_stack

burner = burner_energy * dynamic_stack yellow = (yellow_energy * dynamic_stack) + (yellow_drain * yellow_count) red = (red_energy * dynamic_stack) + (yellow_drain * red_count) blue = (blue_energy * dynamic_stack) + (blue_drain * blue_count) green = (green_energy * dynamic_green) + (green_drain * green_count) stack = (stack_energy * dynamic_stacker) + green_drain

fig = plt.figure(figsize = (20, 15)) ax = plt.axes()

ax.plot(x, burner, label = "Burner", color = "black") ax.plot(x, yellow, label = "Yellow", color = "orange") ax.plot(x, red, label = "Red", color = "red") ax.plot(x, blue, label = "Blue", color = "blue") ax.plot(x, green, label = "Green", color = "green") ax.plot(x, stack, label = "Stack", color = "purple")

xlim = blue_speed * stack_stack ylim = (stack_energy / stack_stack) * xlim

ax.set_ylim(0, ylim) ax.set_xlim(0, xlim)

xtick = 1 ytick = 2

ax.set_xticks(np.arange(0, xlim + xtick, xtick)) ax.set_yticks(np.arange(0, ylim + ytick, ytick))

ax.set_title("Inserter Efficiency (Capacity Bonus 5)") ax.set_xlabel("Items / second", fontweight = "bold") ax.set_ylabel("Power Cost (kW)", fontweight = "bold")

ax.grid() ax.legend(loc = 4)

intersect4 = np.argwhere(np.diff(np.sign(stack - blue))).flatten() plt.plot(x[intersect4], stack[intersect4] , 'ro')

zax = zoomed_inset_axes(ax, 8, loc = 2, borderpad = 1) zax.yaxis.tick_right()

zax.plot(x, burner, label = "Burner", color = "black") zax.plot(x, yellow, label = "Yellow", color = "orange") zax.plot(x, red, label = "Red", color = "red") zax.plot(x, blue, label = "Blue", color = "blue") zax.plot(x, green, label = "Green", color = "green") zax.plot(x, stack, label = "Stack", color = "purple")

zxlim = 1.6 zylim = 6 zxinit = 0 zyinit = 0

zax.set_xlim(zxinit, zxlim) zax.set_ylim(zyinit, zylim)

zxtick = 0.1 zytick = 0.2

zax.set_xticks(np.arange(zxinit, zxlim + zxtick, zxtick)) zax.set_yticks(np.arange(zyinit, zylim + zytick, zytick))

zax.grid()

intersect1 = np.argwhere(np.diff(np.sign(green - blue))).flatten() plt.plot(x[intersect1], green[intersect1] , 'ro')

intersect2 = np.argwhere(np.diff(np.sign(green - red))).flatten() plt.plot(x[intersect2], green[intersect2] , 'ro')

intersect3 = np.argwhere(np.diff(np.sign(green - yellow))).flatten() plt.plot(x[intersect3], green[intersect3] , 'ro')

intersect4 = np.argwhere(np.diff(np.sign(stack - blue))).flatten() plt.plot(x[intersect4], stack[intersect4] , 'ro')

plt.show()