File:Inserter Efficiency Graph (Capacity Bonus 7).png - Revision history

Cardinal: Categorized.

2025-05-07T06:39:45Z

Categorized.

← Older revision		Revision as of 06:39, 7 May 2025
Line 1:		Line 1:
	Graph showing efficiency of different inserters at different throughputs. This version has capacity bonus 7. Intersection points have been marked.		Graph showing efficiency of different inserters at different throughputs. This version has capacity bonus 7. Intersection points have been marked.
	{{~~Screenshot~~}}		{{C\|Graphics}}

	Code to recreate graph if needed		Code to recreate graph if needed

Cardinal: Cardinal uploaded a new version of File:Inserter Efficiency Graph (Capacity Bonus 7).png

2025-05-06T06:08:14Z

Cardinal uploaded a new version of File:Inserter Efficiency Graph (Capacity Bonus 7).png

← Older revision		Revision as of 06:08, 6 May 2025
(No difference)

GregFirehawk at 05:22, 26 April 2025

2025-04-26T05:22:03Z

← Older revision		Revision as of 05:22, 26 April 2025
Line 74:		Line 74:

	ax.grid()		ax.grid()
	ax.legend(loc = ~~"best"~~)		ax.legend(loc = 4)

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

GregFirehawk: GregFirehawk uploaded a new version of File:Inserter Efficiency Graph (Capacity Bonus 7).png

2025-04-26T05:21:41Z

GregFirehawk uploaded a new version of File:Inserter Efficiency Graph (Capacity Bonus 7).png

← Older revision		Revision as of 05:21, 26 April 2025
(No difference)

GregFirehawk at 05:04, 26 April 2025

2025-04-26T05:04:22Z

← Older revision		Revision as of 05:04, 26 April 2025
Line 1:		Line 1:
	Graph showing efficiency of different inserters at different throughputs. This version has capacity bonus 7.		Graph showing efficiency of different inserters at different throughputs. This version has capacity bonus 7. Intersection points have been marked.
	{{Screenshot}}		{{Screenshot}}

			Code to recreate graph if needed

			<code>
			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 = 3
			green_stack = 12
			stack_stack = 16

			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 7)")
			ax.set_xlabel("Items / second", fontweight = "bold")
			ax.set_ylabel("Power Cost (kW)", fontweight = "bold")

			ax.grid()
			ax.legend(loc = "best")

			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 = 2.2
			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')

			plt.show()
			</code>

GregFirehawk: GregFirehawk uploaded a new version of File:Inserter Efficiency Graph (Capacity Bonus 7).png

2025-04-26T05:03:17Z

GregFirehawk uploaded a new version of File:Inserter Efficiency Graph (Capacity Bonus 7).png

← Older revision		Revision as of 05:03, 26 April 2025
(No difference)

Bilka: Categorized as screenshot

2025-03-21T18:40:54Z

Categorized as screenshot

← Older revision		Revision as of 18:40, 21 March 2025
Line 1:		Line 1:
	Graph showing efficiency of different inserters at different throughputs. This version has capacity bonus 7.		Graph showing efficiency of different inserters at different throughputs. This version has capacity bonus 7.
			{{Screenshot}}

GregFirehawk at 13:46, 9 January 2025

2025-01-09T13:46:11Z

New page

Graph showing efficiency of different inserters at different throughputs. This version has capacity bonus 7.