python解析json并存入到DataFrame中

# -*- coding:utf-8 -*-import pandas as pdimport json

# 解析出json中 街区和订单总量和时序
def Es_parsing():
json_file = open('Es_data.json') data = json.load(json_file) #转化成json字符串的格式 print(data) str = data['hits']['hits'] print(str)

##遍历一下 从循环中读取
##存到列表中再转到pandas里 cnt = [] block_id = [] period = [] for i in str: cnt.append(i['_source']['order_cnt']) block_id.append(i['_source']['block_id']) period.append(i['_source']['period_id'])
pd_ES = pd.DataFrame({'block_id': block_id,'cnt':cnt,'period':period})
print('DataFrame',pd_ES)def main(): Es_parsing()main()