有 我使用python从Oanda API中提取数据,并以下面的格式获取数据:,我不知道如何解压缩它,所以我可以得到一个时间序列,是否有人可以帮助我?谢谢!
{
"instrument" : "EUR_USD",
"granularity" : "M15",
"candles" : [
{
"time" : "2015-10-01T19:15:00.000000Z",
"openBid" : 1.11833,
"openAsk" : 1.11846,
"highBid" : 1.1186,
"highAsk" : 1.11874,
"lowBid" : 1.11825,
"lowAsk" : 1.1184,
"closeBid" : 1.1184,
"closeAsk" : 1.11857,
"volume" : 205,
"complete" : true
},
{
"time" : "2015-10-01T19:30:00.000000Z",
"openBid" : 1.11844,
"openAsk" : 1.1186,
"highBid" : 1.11924,
"highAsk" : 1.1194,
"lowBid" : 1.11839,
"lowAsk" : 1.11857,
"closeBid" : 1.11908,
"closeAsk" : 1.11926,
"volume" : 290,
"complete" : true
},
{
"time" : "2015-10-01T19:45:00.000000Z",
"openBid" : 1.11906,
"openAsk" : 1.11922,
"highBid" : 1.11933,
"highAsk" : 1.1195,
"lowBid" : 1.11868,
"lowAsk" : 1.11883,
"closeBid" : 1.11868,
"closeAsk" : 1.11883,
"volume" : 206,
"complete" : true
},
{
"time" : "2015-10-01T20:00:00.000000Z",
"openBid" : 1.11865,
"openAsk" : 1.11879,
"highBid" : 1.11884,
"highAsk" : 1.119,
"lowBid" : 1.11827,
"lowAsk" : 1.11844,
"closeBid" : 1.11833,
"closeAsk" : 1.11848,
"volume" : 114,
"complete" : true
}]
}
答案 0 :(得分:0)
您可以使用标准的json模块(有关如何编码和解码的详细说明,请参阅here)
import json
s = '''
your json sample
'''
d = json.loads(s)
然后您可以在d
字典
e.g。
d['instrument']
或
d['candles'][0]['lowBid']
答案 1 :(得分:0)
您正在寻找json
模块
from json import loads
mydata = """{
"instrument": "EUR_USD",
"granularity": "M15",
"candles": [
{
"time": "2015-10-01T19:15:00.000000Z",
"openBid": 1.11833,
"openAsk": 1.11846,
"highBid": 1.1186,
"highAsk": 1.11874,
"lowBid": 1.11825,
"lowAsk": 1.1184,
"closeBid": 1.1184,
"closeAsk": 1.11857,
"volume": 205,
"complete": true
}
]
}"""
jdata = json.loads(mydata)
jdata['instrument']
>>> u'EUR_USD