File:Inserter Efficiency Graph (Capacity Bonus 4).png - Revision history

Cardinal: Categorized.

2025-05-07T06:38:44Z

Categorized.

← Older revision		Revision as of 06:38, 7 May 2025
Line 1:		Line 1:
	Graph showing efficiency of different inserters at different throughputs. This version has capacity bonus 4. Worth noting is the significant overlap between stack inserters and green inserters.		Graph showing efficiency of different inserters at different throughputs. This version has capacity bonus 4. Worth noting is the significant overlap between stack inserters and green inserters.
	{{~~Screenshot~~}}		{{C\|Graphics}}

	Here is the code to reproduce the graph in python if it ever needs editing:		Here is the code to reproduce the graph in python if it ever needs editing:

Cardinal: Cardinal uploaded a new version of File:Inserter Efficiency Graph (Capacity Bonus 4).png

2025-05-06T06:06:23Z

Cardinal uploaded a new version of File:Inserter Efficiency Graph (Capacity Bonus 4).png

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

GregFirehawk: Fixed mixed up file code

2025-04-26T05:16:18Z

Fixed mixed up file code

← Older revision		Revision as of 05:16, 26 April 2025
Line 7:		Line 7:
	import matplotlib.pyplot as plt		import matplotlib.pyplot as plt
	import numpy as np		import numpy as np
			from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes

	burner_speed = 60 / 76		burner_speed = 60 / 76
Line 25:		Line 26:

	stack_size = 2		stack_size = 2
	green_stack = 4		green_stack = 6
	stack_stack = 8		stack_stack = 10

	x = np.linspace(0, blue_speed * stack_stack, 300)		x = np.linspace(0, blue_speed * stack_stack, 300)
Line 62:		Line 63:
	ax.set_xlim(0, xlim)		ax.set_xlim(0, xlim)

	xtick = ~~0.5~~		xtick = 1
	ytick = 2		ytick = 2

Line 68:		Line 69:
	ax.set_yticks(np.arange(0, ylim + ytick, ytick))		ax.set_yticks(np.arange(0, ylim + ytick, ytick))

	ax.set_title("Inserter Efficiency (Capacity Bonus 2)")		ax.set_title("Inserter Efficiency (Capacity Bonus 4)")
	ax.set_xlabel("Items / second", fontweight = "bold")		ax.set_xlabel("Items / second", fontweight = "bold")
	ax.set_ylabel("Power Cost (kW)", fontweight = "bold")		ax.set_ylabel("Power Cost (kW)", fontweight = "bold")

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

			zax = zoomed_inset_axes(ax, 6, 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 = 3.5
			zylim = 15
			zxinit = 2
			zyinit = 5

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

			zxtick = 0.1
			zytick = 0.4

			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')

	plt.show()		plt.show()
	</code>		</code>

GregFirehawk: GregFirehawk uploaded a new version of File:Inserter Efficiency Graph (Capacity Bonus 4).png

2025-04-26T05:15:12Z

GregFirehawk uploaded a new version of File:Inserter Efficiency Graph (Capacity Bonus 4).png

← Older revision		Revision as of 05:15, 26 April 2025
(No difference)

GregFirehawk: GregFirehawk uploaded a new version of File:Inserter Efficiency Graph (Capacity Bonus 4).png

2025-04-26T05:14:47Z

GregFirehawk uploaded a new version of File:Inserter Efficiency Graph (Capacity Bonus 4).png

← Older revision		Revision as of 05:14, 26 April 2025
(No difference)

GregFirehawk at 04:24, 26 April 2025

2025-04-26T04:24:24Z

← Older revision		Revision as of 04:24, 26 April 2025
Line 1:		Line 1:
	Graph showing efficiency of different inserters at different throughputs. This version has capacity bonus 4.		Graph showing efficiency of different inserters at different throughputs. This version has capacity bonus 4. Worth noting is the significant overlap between stack inserters and green inserters.
	{{Screenshot}}		{{Screenshot}}

			Here is the code to reproduce the graph in python if it ever needs editing:

			<code>
			import matplotlib.pyplot as plt
			import numpy as np

			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 = 4
			stack_stack = 8

			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 = 0.5
			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 2)")
			ax.set_xlabel("Items / second", fontweight = "bold")
			ax.set_ylabel("Power Cost (kW)", fontweight = "bold")

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

			plt.show()
			</code>

GregFirehawk: GregFirehawk uploaded a new version of File:Inserter Efficiency Graph (Capacity Bonus 4).png

2025-04-26T04:21:17Z

GregFirehawk uploaded a new version of File:Inserter Efficiency Graph (Capacity Bonus 4).png

← Older revision		Revision as of 04:21, 26 April 2025
(No difference)

Bilka: Categorized as screenshot

2025-03-21T18:40:08Z

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 4.		Graph showing efficiency of different inserters at different throughputs. This version has capacity bonus 4.
			{{Screenshot}}

GregFirehawk at 13:24, 9 January 2025

2025-01-09T13:24:10Z

New page

Graph showing efficiency of different inserters at different throughputs. This version has capacity bonus 4.