如何将此JSON数据读入Python

我以JSON格式调用了世界卫生组织的一些数据，我想将其读入熊猫数据框架

我在本页中称之为：

我试过了

#Setting Up and loading JSON into object ready to turn into dataframe
url = "http://apps.who.int/gho/athena/data/GHO/WHS8_110.json?profile=simple&filter=COUNTRY:*"
response = requests.get(url)
response_json = response.content
json.loads(response_json)
whoDataSetVaccinationRate = json.loads(response_json)    

#Attempt to load JSON Data into Pandas Dataframe
whoDataSetVaccinationRateDF = pd.DataFrame(whoDataSetVaccinationRate['fact']
, columns=['COUNTRY', 'YEAR','REGION'])
whoDataSetVaccinationRateDF

看起来是这样的，但我只在国家和年份的数据框中得到NaN值：

我意识到我希望它在数据帧中的布局有所不同——我不知道该怎么称呼它。这就是我希望数据框的外观：

与以下部件一起使用：

---

这太棒了！你真是个救命恩人——这正是我想要做的。您在阅读JSON的更好方法上添加的额外信息也是非常优雅的代码-谢谢，不幸的是，您提供的代码是特定于python 3的-我仅限于python 2.7。我正在尝试使用urllib2.urlopen进行修改，但运气不太好：（也许你可以在2.7？@kiltanen-Solution from

https://stackoverflow.com/a/12965254

for python2不起作用？谢谢你-我现在正在努力解决这个问题。我会回复你的。所有问题都会有Thx堆help@kiltannen-好消息，超级！

#Setting Up and loading JSON into object ready to turn into dataframe
url = "http://apps.who.int/gho/athena/data/GHO/WHS8_110.json?profile=simple&filter=COUNTRY:*"
response = requests.get(url)
response_json = response.content
json.loads(response_json)
whoDataSetVaccinationRate = json.loads(response_json)    

#Attempt to load JSON Data into Pandas Dataframe
whoDataSetVaccinationRateDF = pd.DataFrame(whoDataSetVaccinationRate['fact']
, columns=['COUNTRY', 'YEAR','REGION'])
whoDataSetVaccinationRateDF

from pandas.io.json import json_normalize   
import urllib.request, json 

#https://stackoverflow.com/a/12965254
url = "http://apps.who.int/gho/athena/data/GHO/WHS8_110.json?profile=simple&filter=COUNTRY:*"

with urllib.request.urlopen(url) as url:
    data = json.loads(url.read().decode())

df = json_normalize(data['fact']).pivot('dim.COUNTRY','dim.YEAR','Value').astype(float)
print (df.head())

dim.YEAR     1980  1981  1982  1983  1984  1985  1986  1987  1988  1989  ...   \
dim.COUNTRY                                                              ...    
Afghanistan  11.0   NaN   8.0   9.0  14.0  14.0  14.0  31.0  34.0  22.0  ...    
Albania      90.0  90.0  93.0  96.0  96.0  96.0  96.0  96.0  96.0  96.0  ...    
Algeria       NaN   NaN   NaN   NaN   NaN  68.0  67.0  73.0  81.0  82.0  ...    
Andorra       NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...    
Angola        NaN   NaN   NaN  26.0  35.0  44.0  44.0  55.0  56.0  48.0  ...    

dim.YEAR     2007  2008  2009  2010  2011  2012  2013  2014  2015  2016  
dim.COUNTRY                                                              
Afghanistan  55.0  59.0  60.0  62.0  64.0  59.0  57.0  60.0  62.0  62.0  
Albania      97.0  98.0  97.0  99.0  99.0  98.0  99.0  98.0  97.0  96.0  
Algeria      92.0  88.0  92.0  95.0  95.0  95.0  95.0  95.0  95.0  94.0  
Andorra      94.0  98.0  98.0  99.0  99.0  98.0  95.0  96.0  96.0  97.0  
Angola       71.0  61.0  57.0  72.0  64.0  72.0  66.0  60.0  55.0  49.0  

[5 rows x 37 columns]