我有2个CSV文件。一个有城市名称,人口和湿度。在第二个城市映射到州。我希望获得州总人口和平均湿度。有人可以帮忙吗?这是一个例子:
CSV 1:
CityName,population,humidity
Austin,1000,20
Sanjose,2200,10
Sacramento,500,5
CSV 2:
State,city name
Ca,Sanjose
Ca,Sacramento
Texas,Austin
想得到输出(总和人口和州的平均湿度):
Ca,2700,7.5
Texas,1000,20
答案 0 :(得分:0)
上述解决方案不起作用,因为字典将包含一个键值。我放弃了,最后用了一个循环。下面的代码工作,提到输入
csv1
state_name,city_name
CA,sacramento
utah,saltlake
CA,san jose
Utah,provo
CA,sanfrancisco
TX,austin
TX,dallas
OR,portland
CSV2
city_name population humidity
sacramento 1000 1
saltlake 300 5
san jose 500 2
provo 100 7
sanfrancisco 700 3
austin 2000 4
dallas 2500 5
portland 300 6
def mapping_within_dataframe(self, file1,file2,file3):
self.csv1 = file1
self.csv2 = file2
self.outcsv = file3
one_state_data = 0
outfile = csv.writer(open('self.outcsv', 'w'), delimiter=',')
state_city = read_csv(self.csv1)
city_data = read_csv(self.csv2)
all_state = list(set(state_city.state_name))
for one_state in all_state:
one_state_cities = list(state_city.loc[state_city.state_name == one_state, "city_name"])
one_state_data = 0
for one_city in one_state_cities:
one_city_data = city_data.loc[city_data.city_name == one_city, "population"].sum()
one_state_data = one_state_data + one_city_data
print one_state, one_state_data
outfile.writerows(whatever)
答案 1 :(得分:-1)
def output(file1, file2):
f = lambda x: x.strip() #strips newline and white space characters
with open(file1) as cities:
with open(file2) as states:
states_dict = {}
cities_dict = {}
for line in states:
line = line.split(',')
states_dict[f(line[0])] = f(line[1])
for line in cities:
line = line.split(',')
cities_dict[f(line[0])] = (int(f(line[1])) , int(f(line[2])))
for state , city in states_dict.iteritems():
try:
print state, cities_dict[city]
except KeyError:
pass
output(CSV1,CSV2) #these are the names of the files
这提供了您想要的输出。只需确保两个文件中城市的名称在大小写方面相同。