Python Json转换数据帧

我有一个Jston dict类型的数据，如下所示：

{'statusCode': 200,
 'body': {'lambdaData': {'20210302': {'004565': 33010.29666478985,
    '002780': 119.79041526659631,
    '043200': 494.0269995476475, 
    '273140': 41.252622294271745,
    ...},
   'returnType': 'PAYLOAD'},
  'returnType': 'PAYLOAD'}}

我想更改如下（熊猫数据帧）：

---

谢谢你

考虑到你得到的是JSON中的输入，也就是Python中的dicts

我已经编写了一些循环来进行迭代，也许有一种更优雅的方法，但为了更好地理解代码，我会用这种方法

#import
import pandas as pd
#given json/dict in a variable
testData = { 'statusCode': 200, 'body': { 'lambdaData': { '20210302': { '004565': 33010.29666478985, '002780': 119.79041526659631, '043200': 494.0269995476475, '273140': 41.252622294271745 }, 'returnType': 'PAYLOAD' }, 'returnType': 'PAYLOAD' } }
#new empty dataframe with desired column names
Mydataframe = pd.DataFrame({'yyyymmdd': [], 'stock_code': [], 'rate': []})
#iterating through input json/dict
for key, value in testData.items():
    #if we found body which is again a dict
    if isinstance(value, dict) and key == 'body':
        #iterating through body
        for subDataKey, subDataValue in value.items():
            #if we found lambdaData which is again a dict
            if isinstance(subDataValue, dict) and subDataKey == 'lambdaData':
                #iterating through lambdaData
                for lambDataKey, lambDataValue in subDataValue.items():
                    #checking for dicts present in the lambdaData
                    if isinstance(lambDataValue, dict):
                        #iterating through that dict
                        for lambDataSubKey, lambDataSubValue in lambDataValue.items():
                            #saving values in the df
                            Mydataframe = Mydataframe.append([{'yyyymmdd':lambDataKey, 'stock_code':lambDataSubKey, 'rate':lambDataSubValue}], ignore_index=True)

将给出以下df作为答案：

   yyyymmdd stock_code          rate
0  20210302     004565  33010.296665
1  20210302     002780    119.790415
2  20210302     043200    494.027000
3  20210302     273140     41.252622

---

所有代码行都有注释以供理解。

您能分享您迄今为止的尝试吗？

   yyyymmdd stock_code          rate
0  20210302     004565  33010.296665
1  20210302     002780    119.790415
2  20210302     043200    494.027000
3  20210302     273140     41.252622