通过节点从CSV创建JSON

Question

我有美国所有州/县的CSV。我想转成JSON这适用于以下格式：

Alabma: [ 
    { 
    "county_name":"Alabama -- Statewide", 
    "fips":1000, 
    "fips2":"'01000'", 
    }, 

但是我写这个蟒蛇产生以下

State: [{ 
    "county_name":"Baldwin County", 
    "fips":1003, 
    "fips2":"'01003'", 
    "state_name":" Alabama" 
    }, 

我想我需要一点点的方向和我可以弄明白这一点。谢谢你的帮助！这里是我的Python：

import csv 
import json 
output = { 'state':[] } 
with open('county_state.csv', 'rU') as csv_file: 
    for state_name in csv.DictReader(csv_file): 
     output['state'].append({ 
      'fips': state_name['fips2'], 
      'county': state_name['county_name'] 

     }) 

print json.dumps(output) 

从CSV文件中的一些例子行：

county_name fips fips2 state_name 
Autauga County 01001 '01001' Alabama 
Baldwin County 01003 '01003' Alabama 
Barbour County 01005 '01005' Alabama 
Putnam County 12107 '12107' Florida 
St. Johns County 12109 '12109' Florida 
St. Lucie County 12111 '12111' Florida 
Santa Rosa County 12113 '12113' Florida 
Emmet County 19063 '19063' Iowa 
Fayette County 19065 '19065' Iowa 
Floyd County 19067 '19067' Iowa 
Franklin County 19069 '19069' Iowa 
Fremont County 19071 '19071' Iowa 
Greene County 19073 '19073' Iowa 
Grundy County 19075 '19075' Iowa 
Guthrie County 19077 '19077' Iowa 
Hamilton County 19079 '19079' Iowa 
Hancock County 19081 '19081' Iowa 

Answer 1

您的数据似乎已混合的分隔符，如果你能制服的标签，例如，这应该是解决方案。

dictreader = DictReader(csvdata, delimiter='\t', quoting=QUOTE_NONE) 

output = {} 

for state in dictreader: 
    if not output.get(state['state_name']): 
     output[state['state_name']] = [] 
    output[state['state_name']].append({'county_name': state['county_name'], 'fips': state['fips'], 'fips2': state['fips2'], 'state_name': state['state_name']}) 

Answer 2

我认为你输入的CSV文件可能是由制表符而不是空格分隔的。如果是这样的话，那么这似乎你说你想要的格式生成JSON：

from collections import defaultdict, OrderedDict 
import csv 
import json 

output = defaultdict(list) 
with open('county_state.csv', 'rb') as csv_file: 
    reader = csv.DictReader(csv_file, delimiter='\t') 
    for row in reader: 
     output[row['state_name']].append(
      OrderedDict((
       (fieldname, row[fieldname]) for fieldname in reader.fieldnames 
               if fieldname != 'state_name'))) 

# sort the output by state (optional) 
output = OrderedDict(((state, counties) for state, counties in 
              sorted(output.iteritems()))) 
print json.dumps(output, indent=2) 

输出：

{ 
    "Alabama": [ 
    { 
     "county_name": "Autauga County", 
     "fips": "01001", 
     "fips2": "'01001'" 
    }, 
    { 
     "county_name": "Baldwin County", 
     "fips": "01003", 
     "fips2": "'01003'" 
    }, 
    { 
     "county_name": "Barbour County", 
     "fips": "01005", 
     "fips2": "'01005'" 
    } 
    ], 
    "Florida": [ 
    { 
     "county_name": "Putnam County", 
     "fips": "12107", 
     "fips2": "'12107'" 
    }, 
    { 
     "county_name": "St. Johns County", 
     "fips": "12109", 
     "fips2": "'12109'" 
    }, 
    { 
     "county_name": "St. Lucie County", 
     "fips": "12111", 
     "fips2": "'12111'" 
    }, 
    { 
     "county_name": "Santa Rosa County", 
     "fips": "12113", 
     "fips2": "'12113'" 
    } 
    ], 
    "Iowa": [ 
    { 
     "county_name": "Emmet County", 
     "fips": "19063", 
     "fips2": "'19063'" 
    }, 
    { 
     "county_name": "Fayette County", 
     "fips": "19065", 
     "fips2": "'19065'" 
    }, 
    { 
     "county_name": "Floyd County", 
     "fips": "19067", 
     "fips2": "'19067'" 
    }, 
    { 
     "county_name": "Franklin County", 
     "fips": "19069", 
     "fips2": "'19069'" 
    }, 
    { 
     "county_name": "Fremont County", 
     "fips": "19071", 
     "fips2": "'19071'" 
    }, 
    { 
     "county_name": "Greene County", 
     "fips": "19073", 
     "fips2": "'19073'" 
    }, 
    { 
     "county_name": "Grundy County", 
     "fips": "19075", 
     "fips2": "'19075'" 
    }, 
    { 
     "county_name": "Guthrie County", 
     "fips": "19077", 
     "fips2": "'19077'" 
    }, 
    { 
     "county_name": "Hamilton County", 
     "fips": "19079", 
     "fips2": "'19079'" 
    }, 
    { 
     "county_name": "Hancock County", 
     "fips": "19081", 
     "fips2": "'19081'" 
    } 
    ] 
}