我有一个将JSON Web服务写入地理数据库的脚本。 JSON服务最多可以有10个＆＃34;电子废物＆＃34;对象，3如下所示。我能够到达这里因为我已经知道数据是如何构建的，即指标等。
我想编写我的脚本，以便我可以循环并只写入具有值的字段到我的数据库。因此，如果有10个电子垃圾项目，我会遍历电子垃圾并在我的数据库中抓取我想要的项目，现在我通过索引获取数据。
"La311ElectronicWaste": [
{
"CollectionLocation": "Gated Community/Multifamily Dw",
"DriverFirstName": "",
"DriverLastName": "",
"ElectronicWestType": "Microwaves",
"GatedCommunityMultifamilyDwelling": "Curb",
"IllegallyDumped": "N",
"ItemCount": "3",
"MobileHomeSpace": "",
"OtherElectronicWestType": "",
"ServiceDateRendered": "",
"TruckNo": "",
"Type": "Electronic Waste",
"IllegalDumpCollectionLoc": "",
"LastUpdatedBy": "",
"Name": "021720151654176711"
},
{
"CollectionLocation": "Gated Community/Multifamily Dw",
"DriverFirstName": "",
"DriverLastName": "",
"ElectronicWestType": "Televisions (Any Size)",
"GatedCommunityMultifamilyDwelling": "Curb",
"IllegallyDumped": "N",
"ItemCount": "6",
"MobileHomeSpace": "",
"OtherElectronicWestType": "",
"ServiceDateRendered": "",
"TruckNo": "",
"Type": "Electronic Waste",
"IllegalDumpCollectionLoc": "",
"LastUpdatedBy": "",
"Name": "021720151654176722"
},
{
"CollectionLocation": "Gated Community/Multifamily Dw",
"DriverFirstName": "",
"DriverLastName": "",
"ElectronicWestType": "VCR/DVD Players",
"GatedCommunityMultifamilyDwelling": "Curb",
"IllegallyDumped": "N",
"ItemCount": "1",
"MobileHomeSpace": "",
"OtherElectronicWestType": "",
"ServiceDateRendered": "",
"TruckNo": "",
"Type": "Electronic Waste",
"IllegalDumpCollectionLoc": "",
"LastUpdatedBy": "",
"Name": "021720151654176723"
}
]
},
代码示例：
f2 = open('C:\Users\Administrator\Desktop\DetailView.json', 'r')
data2 = jsonpickle.encode( jsonpickle.decode(f2.read()) )
url2 = "myURL"
headers2 = {'Content-type': 'text/plain', 'Accept': '/'}
r2 = requests.post(url2, data=data2, headers=headers2)
decoded2 = json.loads(r2.text)
SRAddress = decoded['Response']['ListOfServiceRequest']['ServiceRequest'][0]['SRAddress']
latitude = decoded['Response']['ListOfServiceRequest']['ServiceRequest'][0]['Latitude']
longitude = decoded['Response']['ListOfServiceRequest']['ServiceRequest'][0]['Longitude']
CommodityType = decoded['Response']['ListOfServiceRequest']['ServiceRequest'][0]['ListOfLa311ElectronicWaste']['La311ElectronicWaste'][0]['Type']
ItemType = decoded['Response']['ListOfServiceRequest']['ServiceRequest'][0]['ListOfLa311ElectronicWaste']['La311ElectronicWaste'][0]['ElectronicWestType']
ItemCount_1 = decoded['Response']['ListOfServiceRequest']['ServiceRequest'][0]['ListOfLa311ElectronicWaste']['La311ElectronicWaste'][0]['ItemCount']
CommodityType1 = decoded['Response']['ListOfServiceRequest']['ServiceRequest'][0]['ListOfLa311ElectronicWaste']['La311ElectronicWaste'][1]['Type']
ItemType1 = decoded['Response']['ListOfServiceRequest']['ServiceRequest'][0]['ListOfLa311ElectronicWaste']['La311ElectronicWaste'][1]['ElectronicWestType']
ItemCount1 = decoded['Response']['ListOfServiceRequest']['ServiceRequest'][0]['ListOfLa311ElectronicWaste']['La311ElectronicWaste'][1]['ItemCount']
print SRAddress
print latitude
print longitude
print CommodityType
print ItemType
print ItemCount_1
print CommodityType1
print ItemType1
print ItemCount1
Items and Keys should maintain same order
item ={'SRAddress': SRAddress, 'CommodityType': CommodityType, 'ItemType': ItemType, 'ItemCount_1': ItemCount_1, 'longitude': longitude, 'latitude': latitude}
import numpy as np #NOTE THIS
keys = ['SRAddress','CommodityType', 'ItemType','ItemCount_1','longitude','latitude']
k1,k2,k3, k4, k5, k6 = keys
# data_line ={'SRAddress': SRAddress, 'Longitude': longitude, 'Latitude': latitude, 'CommodityType': CommodityType, 'ItemCount': ItemCount}
frmt = '\nStraight dictionary output\n Address: {} Long: {} Lat: {}'
print(frmt.format(item[k1],item[k2],item[k3], item[k4],item[k5], item[k6]))
print '\noption 1: List comprehension with unicode'
a = tuple([unicode(item[key]) for key in keys]) # list comprehension with unicode
print('{}'.format(a))
dt = np.dtype([('SRAddress','U40'),('CommodityType','U40'), ('ItemType','U40'), ('ItemCount_1','U40'),('longitude','<f8'),('latitude','<f8')])
arr = np.array(a,dtype=dt)
print'\narray unicode\n',arr
print'dtype',arr.dtype
print '\noption 2:List comprehension without unicode'
b = tuple([item[key] for key in keys])
print('{}'.format(b))
dt = np.dtype([('SRAddress','U40'),('CommodityType','S4'), ('ItemCount','U40'),('longitude','<f8'),('latitude','<f8')])
arr = np.array(b,dtype=dt)
print'\narray without unicode\n',arr
print'dtype',arr.dtype
arcpy.da.NumPyArrayToFeatureClass(arr, fc, ['longitude', 'latitude'], sr)
print json.dumps(decoded, sort_keys=True, indent=4)
答案 0 :(得分：0)
您可以随时循环键。
一个例子：
decoded = {'La311ElectronicWaste':{'SRAddress':'123 my street'},
'La31ElectronicWaste':{'ItemType':'computer',
'no data':''},
'other':'cool',
}
subdict = {}
for key in decoded:
if 'ElectronicWaste' in key:
subdict[key] = {}
for entry, item in decoded[key].items():
if item:
subdict[key][entry] = decoded[key][entry]