Python拆分unicode

时间:2016-12-30 03:14:01

标签: python dataframe unicode unicode-string

我有以下Unicode字符串:

{u'prices': [{u'ask': 1.05321, u'instrument': u'EUR_USD', u'bid': 1.05308, u'time': u'2016-12-30T02:53:26.928268Z'}]}

并希望将其转换为具有以下结构的Dataframe:

ask           1.05321          
instrument    EUR_USD
bid           1.05308
time          2016-12-30T02:53:26.928268Z
提前谢谢。

2 个答案:

答案 0 :(得分:0)

如果你的意思是pandas数据框:

myObj.waitForProps()

或使用var gcm = require('node-gcm'); var push = new gcm.Message({ data: { title: 'Your app', message: message, ledColor: [215, 138, 138, 1], //show a blinking LED with given color in ARGB format }, }); gcmSender.send(push, [token], function(err, res) { console.log(res); });

import pandas as pd

dd = {u'prices': [{u'ask': 1.05321, u'instrument': u'EUR_USD', u'bid': 1.05308, u'time': u'2016-12-30T02:53:26.928268Z'}]}

pd.Series(dd['prices'][0]).to_frame().reset_index()

#        index  0
#0         ask  1.05321
#1         bid  1.05308
#2  instrument  EUR_USD
#3        time  2016-12-30T02:53:26.928268Z

答案 1 :(得分:0)

您可以使用urlpatterns = [ url(r'$', views.index, name='index'), url(r'^signup/$', views.signup, name='signup'), url(r'^login/$', views.auth_login, name='login'), url(r'^logout/$', views.user_logout, name='logout'), ] 模块解决此问题。

pandas