我有以下代码:
import matplotlib.pyplot as plt ### imports plotting
import numpy as np
import pandas as pd
class Population:
def __init__(self,name,population):
self.name = name
self.population = population
self.conservative = self.population * 48/100
self.labour = self.population * 30/100
self.libDem = self.population * 12/100
self.green = self.population * 5/100
self.brexit = self.population * 3/100
self.others = self.population * 2/100
def distribution(self):
print(self.conservative)
print(self.labour)
print(self.libDem)
print(self.brexit)
print(self.others)
def rulingParty(self):
parties = {"Conservative":self.conservative,"Labour":self.labour,"LibDem":self.libDem,"Green":self.green,"Brexit":self.brexit,"Other":self.others}
return max(parties, key=parties.get)
def addCon(self,amount, Lab=1/5,LD=1/5,GRN=1/5,BXT=1/5,Others=1/5):
self.conservative += amount
self.labour += -amount * Lab
self.libDem += -amount * LD
self.green += -amount * GRN
self.brexit += -amount * BXT
self.others += -amount * Others
def addLab(self,amount, Con=1/5,LD=1/5,GRN=1/5,BXT=1/5,Others=1/5):
self.labour += amount
self.conservative += -amount * Con
self.libDem += -amount * LD
self.green += -amount * GRN
self.brexit += -amount * BXT
self.others += -amount * Others
def addLD(self,amount, Con=1/5,Lab=1/5,GRN=1/5,BXT=1/5,Others=1/5):
self.libDem += amount
self.conservative += -amount * Con
self.labour += -amount * Lab
self.green += -amount * GRN
self.brexit += -amount * BXT
self.others += -amount * Others
def addGRN(self,amount, Con=1/5,Lab=1/5,LD=1/5,BXT=1/5,Others=1/5):
self.green += amount
self.conservative += -amount * Con
self.labour += -amount * Lab
self.libDem += -amount * LD
self.brexit += -amount * BXT
self.others += -amount * Others
def addBXT(self,amount, Con=1/5,Lab=1/5,LD=1/5,GRN=1/5,Others=1/5):
self.brexit += amount
self.conservative += -amount * Con
self.labour += -amount * Lab
self.libDem += -amount * LD
self.green += -amount * GRN
self.others += -amount * Others
def addOthers(self,amount, Con=1/5,Lab=1/5,LD=1/5,GRN=1/5,BXT=1/5):
self.others += amount
self.conservative += -amount * Con
self.labour += -amount * Lab
self.libDem += -amount * LD
self.green += -amount * GRN
self.brexit += -amount * BXT
c = Population("UK",100000)
d = [c.conservative,c.labour,c.libDem,c.green,c.brexit,c.others]
while not c.rulingParty()=="Labour":
c.addCon(-1000)
d = np.vstack((d,[c.conservative,c.labour,c.libDem,c.green,c.brexit,c.others]))
print(d)
print(np.shape(d)[0])
应该注意的是,这只是我为提高python技能而做的一个练习,而不是任何形式的政治模拟。我的问题是,有没有办法减少addCon()、addLab()等函数中重复的行数,因为它们都有很多相同的代码
任何反馈都将不胜感激 你的
当然有,但这需要一点点额外的工作
首先,我不会将
libDem
和conservative
作为类中的字段。相反,我会让它们成为字典中的键,并作为值进行投票。有点像你在ruling_party
方法中所做的。但是将字典设置为__init__
,然后您就可以重写您的方法了实际上,您可以将它们合并到一个方法中:
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