如何使用python将；“数据”；将此json响应的组件转换为数据帧？

如何使用python将此json响应的“数据”组件集放入数据帧中

{"data":[{"name":"samplea","val1":null,"val2":"0591","date":"2017-04-11"},{"name":"sampleb","val1":null,"val2":"1111","date":"2017-04-11"}],"result_count":2,"page_size":250,"current_page":1,"total_pages":1,"credits":1}

更新： 使用json_normalize会导致以下错误

TypeError: string indices must be integers, not str

使用：

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这就产生了一个错误，TypeError：字符串索引必须是整数，而不是str。我也用了你的例子，同样的错误。jsonData=“{”数据“：[{”名称“：”SAMADERK“，”val1“：”null，“val2“：”0591“，”日期“：”2017-04-11“}，{”名称“：”sampleb“，”val1“，”null“，”val2“：”1111“，”日期“，”结果计数“：”2，“页面大小“，”250，“当前页面“，”1，“总页面“：”1，“学分“：”1}'df=jsonData正常化（jsonData，”）

d = {"data":[{"name":"samplea","val1":None,"val2":"0591","date":"2017-04-11"},{"name":"sampleb","val1":None,"val2":"1111","date":"2017-04-11"}],"result_count":2,"page_size":250,"current_page":1,"total_pages":1,"credits":1}

from pandas.io.json import json_normalize    
df = json_normalize(d, 'data')
print (df)
         date     name  val1  val2
0  2017-04-11  samplea  None  0591
1  2017-04-11  sampleb  None  1111