import pickle
class nation:
       def __init__(self, name='', continent='', pop='', area='', pop_density=''):
               self._name = name
               self._continent = continent
               self._pop = pop
               self._area = area
               self._pop_density =pop_density

       def setName(self, name):
               self._name = name

       def setContinent(self, continent):
               self._continent = continent

       def setPop(self, pop):
               self._pop = pop

       def setArea(self, area):
               self._area = area

       def getName(self, name):
               return self._name

       def getContinent(self, continent):
               return self._continent

       def getPop(self, pop):
               return self._pop

       def getArea(self, area):
               return self._area

       def pop_density(self):
               return (self._pop / self._area)
       def __str__(self):
               return ("The poplation density of" + str(self._name) + "is" + str(self.pop_density()))


f = open('UN.txt')
dict = {}
for line in f:
         words = line.split(",")
         _nation=nation(continent='', pop='', area='', pop_density='')

         _nation.setName(words[0])
         _nation.setContinent(words[1])
         _nation.setPop(words[2])
         _nation.setArea(words[3])
         dict[words[0]] = _nation

outfile = open("nationsDict.dat",'wb')
pickle.dump(dict,outfile)
outfile.close()

search.py

import pickle
import nation

def getDictionary(fileName):
    infile = open(fileName, 'rb')
    nations =pickle.load(infile)
    infile.close()
    return nations

def inputNameOfNation(nations):
    nation = input("Input a name of a UN member nation: ")
    while nation not in nations:
        print("Not a member of the UN.Please try again.")
        nation = input("Input a name of a UN member nation: ")

def displayData(nations,nation):
    print("Continent:", nations[nation]['continent'])
    print("Populaton:",nations[nation]['pop'], "million people")
    print("Area:",nations[nation]['area'],"square miles")

nations = getDictionary("nationsDict.dat")
nation = inputNameOfNation(nations)
displayData(nations,nation)

sort.py

import matplotlib.pyplot as plt
import nation
import pickle
def getDictionary(fileName):
    infile = open(fileName, 'rb')
    nations =pickle.load(infile)
    infile.close()
    return nations
nations = getDictionary("nationsDict.dict")
for i in nations[i]:
    nation.pop_density()

nation.pop_density.sort

plt.bar(data['x'], data['y'])

不建议任何人直接复制此代码

如果你是哈尔滨工业大学学生，请你一定不要复制此代码。因为此代码已被输入查重系统，一旦查重率超过20%，将会被认为抄袭。

此实验会为0分

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