Python is my boom now since I use again as research in university.
I use English only this page to practice my skill.
in transport "economics" lecture in TokyoTech
This is lecture slide, So I show you it as possible as I can.
# -*- coding: utf-8 -*- """ Created on Sun Jan 26 14:34:11 2020 @author: aoki """ #config import numpy as np import matplotlib.pyplot as plt where=['O1','O2','Market'] x=np.linspace(0,100)#100 is reference value to draw graph #%%loop for i in where: #initialize dummy=[1,1,1] total_cost=0 #case for j in range(len(where)): if i==where[j]: dummy[j]=-1 #%%cal (100 is reference value to draw graph too cost_iron= 20*(100+x*dummy) cost_coal= 15*(100+x*dummy) cost_steel=10*(100+x*dummy) total_cost=cost_iron+cost_coal+cost_steel #%%output as graph plt.plot(x,cost_iron,label='iron') plt.plot(x,cost_coal,label='coal') plt.plot(x,cost_steel,label='steel') plt.plot(x,total_cost,label='total') plt.legend() plt.title('between '+i+' & Port (reference value)') plt.xlabel('distance x: Port to '+i) plt.ylabel('cost') plt.show()
outputs as a result
The factory should be constructed just (near) a Port.
This conclusion is near my sense and measured in fact.