在Python中加载json时出错 [英] Error while loading json in Python
本文介绍了在Python中加载json时出错的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
我正在用python解析JSON，但无法弄清楚获取数据的正确方法. 我正在从python中名为"table1" 的sql表中访问JSON数据，分析数据并将这些记录更新回" table1 "中. 这是我的sql表
I'm parsing JSON in python but couldn't figure out the correct way to get the data. I'm accessing JSON data from sql table called "table1" in python Parsing the data and updating those records back in "table1". So this is my sql table
R_GEOCODE_ID JSON Street_Numb Street_Name Route sublocality Country ...
12 <json_objects> NA NA NA NA NA ...
40 <json_objects> NA NA NA NA NA ...
30 <json_objects> NA NA NA NA NA ...
在上表中，实际的JSON数据无法累积，因此我将其分别粘贴在下面 JSON
In above table the actual JSON data could not be accumulated so I'm pasting it separately below JSON
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India","geometry":{"bounds":{"northeast":{"lat":22.028441,"lng":80.890924},"southwest":{"lat":15.6024121,"lng":72.659363}},"location":{"lat":19.7514798,"lng":75.7138884},"location_type":"APPROXIMATE","viewport":{"northeast":{"lat":22.0279091,"lng":80.890924},"southwest":{"lat":15.6024121,"lng":72.659363}}},"place_id":"ChIJ-dacnB7EzzsRtk_gS5IiLxs","types":["administrative_area_level_1","political"]},{"address_components":[{"long_name":"India","short_name":"IN","types":["country","political"]}],"formatted_address":"India","geometry":{"bounds":{"northeast":{"lat":35.5087008,"lng":97.39535869999999},"southwest":{"lat":6.4626999,"lng":68.1097}},"location":{"lat":20.593684,"lng":78.96288},"location_type":"APPROXIMATE","viewport":{"northeast":{"lat":35.5087008,"lng":97.39498069999999},"southwest":{"lat":6.7535159,"lng":68.16288519999999}}},"place_id":"ChIJkbeSa_BfYzARphNChaFPjNc","types":["country","political"]}],"status":"OK"}
所以对于表中那些值为 NA 的列，我希望它们通过从每条记录中提取JSON对象来填充.
So for those column in table whose values are NA I wanted them to fill up by extracting the JSON objects from each records.
这是我尝试的代码，
import pyodbc
import json
import numpy as np
import pandas as pd
cnxn = pyodbc.connect('DRIVER={SQL Server};SERVER=myServer;DATABASE=temp;UID=ADMIN;PWD=abc@123;autocommit=True')
cursor = cnxn.cursor()
cursor.execute("select TOP 3 ID, JSON from table1 where JSON is NOT NULL AND Country is NULL")
ID=[]
json_string=[]
for row in cursor.fetchall():
ID.append(row[0])
json_string.append(row[1])
address_fields = {
'intersection': [],
'political': [],
'country': [],
'administrative_area_level_1': [],
'administrative_area_level_2': [],
'administrative_area_level_3': [],
'administrative_area_level_4': [],
'administrative_area_level_5': [],
'colloquial_area': [],
'locality': [],
'ward': [],
'neighborhood': [],
'premise': [],
'subpremise': [],
'natural_feature': [],
'postal_code': [],
'airport': [],
'park': [],
'point_of_interest': [],
'street_address': [],
'street_number': [],
'route': [],
'sublocality': [],
}
dumpData = json.dumps(json_string)
json_all = json.loads(dumpData)
#print(json_all)
#json_all = json.loads(json_string)
id_index = 0
for json_str in json_all:
address_fields = {
'intersection': [],
'political': [],
'country': [],
'administrative_area_level_1': [],
'administrative_area_level_2': [],
'administrative_area_level_3': [],
'administrative_area_level_4': [],
'administrative_area_level_5': [],
'colloquial_area': [],
'locality': [],
'ward': [],
'neighborhood': [],
'premise': [],
'subpremise': [],
'natural_feature': [],
'postal_code': [],
'airport': [],
'park': [],
'point_of_interest': [],
'street_address': [],
'street_number': [],
'route': [],
'sublocality': [],
}
json_results = json.loads(json_str)
if not json_results or not json_results[0].get('address_components'):
id_index = id_index + 1
continue
first_address_components = json_results[0]['address_components']
for item in first_address_components:
for field_key in address_fields.keys():
if field_key in item['types']:
address_fields[field_key].append(item['long_name'])
# convert lists to single strings
address_fields = {key: ', '.join(values) for key, values in address_fields.items()}
sql = "UPDATE MST_NHB_R_GEOCODE SET intersection=?, political=?, country=?, administrative_area_level_1=?, administrative_area_level_2=?, administrative_area_level_3=?, administrative_area_level_4=?, administrative_area_level_5=?, colloquial_area=?, locality=?, ward=?, neighborhood=?, premise=?, subpremise=?, postal_code=?, natural_feature=?, airport=?, park=?, point_of_interest=?, street_address=?, Street_Number=?, Route=?, sublocality=? WHERE R_GEOCODE_ID=?"
params = (
address_fields['intersection'],
address_fields['political'],
address_fields['country'],
address_fields['administrative_area_level_1'],
address_fields['administrative_area_level_2'],
address_fields['administrative_area_level_3'],
address_fields['administrative_area_level_4'],
address_fields['administrative_area_level_5'],
address_fields['colloquial_area'],
address_fields['locality'],
address_fields['ward'],
address_fields['neighborhood'],
address_fields['premise'],
address_fields['subpremise'],
address_fields['postal_code'],
address_fields['natural_feature'],
address_fields['airport'],
address_fields['park'],
address_fields['point_of_interest'],
address_fields['street_address'],
address_fields['street_number'],
address_fields['route'],
address_fields['sublocality'],
ID[id_index]
)
cursor.execute(sql, params)
id_index = id_index + 1
cnxn.commit()
cursor.close()
cnxn.close()
但是这段代码给了我错误
But this code is giving me error
File "D:/Deepesh/testForUpdateTableJSON.py", line 34, in <module>
address_fields[field_key].append(item['long_name'])
AttributeError: 'str' object has no attribute 'append'
关于代码哪里出错的任何建议.
Any suggestions on where the code is getting wrong .
谢谢
推荐答案
我发现您这样做:
for row in cursor.fetchall():
ID.append(row[0])
json_string.append(row[1])
dumpData = json.dumps(json_string)
json_all = json.loads(dumpData)
请注意dumpData是两个级别的json.您会看到json_string是json的数组.因此，当您获得json_all [0]时，它实际上也是一个json.因此它抱怨TypeError:字符串索引必须是整数.您应该先加载.
Notice the dumpData is two level json. you see that the json_string is an array of json. so when you get the json_all[0], it is actually also a json. So It complain that TypeError: string indices must be integers. you should do loads first.
我认为您应该为每一行执行更新sql，然后应在for循环中包含update.
I think you should do the update sql for every row, Then you should include update in your for loop.
像这样修复:
id_index = 0
for json_str in json_all:
address_fields = {
'street_number': [],
'route': [],
'sublocality': [],
}
json_results = json.loads(json_str)
if isinstance(json_results,dict):
first_address_components = json_results['results'][0]['address_components']
else:
first_address_components = json_results[0]['address_components']
for item in first_address_components:
for field_key in address_fields.keys():
if field_key in item['types']:
address_fields[field_key].append(item['long_name'])
# convert lists to single strings
address_fields = {key: ', '.join(values) for key, values in address_fields.items()}
sql = "UPDATE MST_NHB_R_GEOCODE SET Street_Numb=?, Route=?, sublocality=? WHERE R_GEOCODE_ID=?"
params = (
address_fields['street_number'],
address_fields['route'],
address_fields['sublocality'],
ID[id_index]
)
cursor.execute(sql, params)
id_index = id_index + 1
这篇关于在Python中加载json时出错的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
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