import csv
y=0;l=0;z=0;q=0;b=0;d=0
t=[]
day=[]
pm=[]
filename = 'pmi_days.csv'
with open(filename) as f: reader = csv.reader(f) # 创建cvs文件读取器fieldnames = next(reader) #获取数据的第一列，作为后续要转为字典的键名 生成器，next方法获取      csv_reader = csv.DictReader(f,fieldnames=fieldnames) #self._fieldnames = fieldnames # list of keys for the dict 以list的形式存放键名    for row in csv_reader:dict = {}#创建空字典，初始化字典   for key,value in row.items():#items() 以列表返回可遍历的(键, 值) 元组数组dict[key]=value #往字典里添加键的值   if(dict["质量等级"]=="优"):y+=1elif(dict["质量等级"]=="良"):l+=1elif(dict["质量等级"]=="中度污染"):z+=1  elif(dict["质量等级"]=="轻度污染"):q+=1t.append(list(dict.values()))pm.append(int(dict.get("PM2.5")))day.append(dict.get("日期"))for i in range(0,len(pm)):if pm[i]==max(pm):zd=day[i]if pm[i]==min(pm):zx=day[i]# min(dict, key=dict.get) # max(dict, key=dict.get)print("优:{}天\n良:{}天\n中度污染:{}天\n轻度污染:{}天\n".format(y,l,z,q))print("PMI2.5的最大值：{}\n日期：{}\nPMI2.5的最小值：{}\n日期：{} ".format(max(pm),zd,min(pm),zx ))

import csv
filename = '1980-2018GDP.csv'
with open(filename) as f: reader = csv.reader(f) # 创建cvs文件读取器#获取每行的数据for row in reader:print(row) # 打印每一行

import csv
list=[]
year=[]
gdp=[]
s={}
with open("1980-2018GDP.csv", 'r') as f:reader = csv.reader(f)fieldnames = next(reader)print(fieldnames)for row in reader:list.append(row)for i in range(0,len(list)):print("%-8s"%list[i][0],"\t%-10.7s"%list[i][1],"\t%-12.5s"%list[i][2],"\t%-13.5s"%list[i][3],list[i][4])
with open("1980-2018GDP.csv", 'r') as f:reader = csv.reader(f)fieldnames = next(reader)csv_reader = csv.DictReader(f, fieldnames=fieldnames)for w in csv_reader:dict = {}for key, value in w.items():dict[key] = valueif key=='GDP(亿元)':gdp.append(float(dict.get('GDP(亿元)')))dict.get('年份')year.append(int(dict.get('年份')))for i in range(0,len(list)):s[year[i]]=list[i][1:]print(s)for i in range(0,len(gdp)):if gdp[i]==max(gdp):d=list1[i]if gdp[i]==min(gdp):e=list1[i]print("PM2.5最大值:{}    日期：{}".format(max(gdp), d))print("PM2.5最小值:{}      日期：{}".format(min(gdp), e))