如何用python处理json文件

Question

python在读取json文件时显示为N个字典的形式，字典中间没有分隔符，那么如何循环处理每个字典，以及其中的数据呢？
数据如下：
{"msgid":"8280204259419051","msgpriority":0,"msgtext":"PTV-8698|8280204259419051|function (){}|1498722414739|257|!206!3041!0!0!1!CCTV-1 综合（高清）","receiverid":"data","senderid":"8280204259419051","subjectid":"data.stb.report"}{"msgid":"0","msgpriority":0,"msgtext":"HC3100||ec-f4-bb-da-4c-e4|599925|257|1!5!501!0!0!2!CCTV-2 财经","receiverid":"data","senderid":"0","subjectid":"data.stb.report"}

如何使用pandas处理数据，分词后并保存成excel文件

Answer 1

或许你可以按行读，那每一行就是一个json了
不行的话用正则

a='''
{"msgid":"8280204259419051","msgpriority":0,"msgtext":"PTV-8698|8280204259419051|function (){}|1498722414739|257|!206!3041!0!0!1!CCTV-1 综合（高清）","receiverid":"data","senderid":"8280204259419051","subjectid":"data.stb.report"}{"msgid":"0","msgpriority":0,"msgtext":"HC3100||ec-f4-bb-da-4c-e4|599925|257|1!5!501!0!0!2!CCTV-2 财经","receiverid":"data","senderid":"0","subjectid":"data.stb.report"}
'''
import re, json
for d in re.findall("\{\".+?\"\}", a):
    print json.loads(d)