python字符串转float出错_值错误:无法将字符串转换为float,NumPy
我有一個腳本,其中我正在向Esri文件geodatabase寫入一個JSON web服務。我收到錯誤值錯誤:無法將字符串轉換為浮點:微波
我以前使用過完全相同的腳本,U40是所有字符串的數據類型。在
我的腳本和結果如下import json
import jsonpickle
import requests
import arcpy
import numpy
fc = "C:\MYLATesting.gdb\MYLA311"
if arcpy.Exists(fc):
arcpy.Delete_management(fc)
f = open('C:\Users\Administrator\Desktop\myla311.json', 'r')
data = jsonpickle.encode( jsonpickle.decode(f.read()) )
url = "myUrl"
headers = {'Content-type': 'text/plain', 'Accept': '/'}
r = requests.post(url, data=data, headers=headers)
sr = arcpy.SpatialReference(4326)
decoded = json.loads(r.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 = 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
print CommodityType1
print ItemType1
print ItemCount1
item ={'SRAddress': SRAddress, 'Longitude': longitude, 'Latitude': latitude, 'CommodityType': CommodityType, 'ItemType': ItemType, 'ItemCount': ItemCount}
import numpy as np #NOTE THIS
keys = ['SRAddress','Longitude','Latitude','CommodityType','ItemType', 'ItemCount']
k1,k2,k3, k4, k5, k6 = keys
data_line ={'SRAddress': SRAddress, 'Longitude': longitude, 'Latitude': latitude, 'CommodityType': CommodityType, 'ItemType': ItemType, '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','U40'),('longitude','
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','U40'), ('ItemType','U40'), ('ItemCount','U40'),('longitude','
arr = np.array(b,dtype=dt)
print'\narray without unicode\n',arr
print'dtype',arr.dtype
arcpy.da.NumPyArrayToFeatureClass(arr, fc, ['longitude', 'latitude'], sr)
結果
^{pr2}$
總結
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