将Python JSON转换为数据帧

我正在使用Yahoo finance Python库获取会计财务数据，以进行一些基本分析。所有财务报表数据均采用JSON格式。我希望数据采用表格格式，就像我通常在Python数据帧中看到的那样。您好，数据周围有几个包装器，我不确定如何删除它们，以便将数据放入一个简单的列和行数据框中。下面是Python的外观：

{
   "incomeStatementHistory":{
      "F":[
         {
            "2019-12-31":{
               "researchDevelopment":"None",
               "effectOfAccountingCharges":"None",
               "incomeBeforeTax":-640000000,
               "minorityInterest":45000000,
               "netIncome":47000000,
               "sellingGeneralAdministrative":10218000000,
               "grossProfit":12876000000,
               "ebit":2658000000,
               "operatingIncome":2658000000,
               "otherOperatingExpenses":"None",
               "interestExpense":-1049000000,
               "extraordinaryItems":"None",

你应该用熊猫

您也可以选中此项

您应该使用熊猫

---

此外，您还可以检查此项

您没有完整的响应，因此很难判断这是否是您想要的

d = {
   "incomeStatementHistory":{
      "F":[
         {
            "2019-12-31":{
               "researchDevelopment":"None",
               "effectOfAccountingCharges":"None",
               "incomeBeforeTax":-640000000,
               "minorityInterest":45000000,
               "netIncome":47000000,
               "sellingGeneralAdministrative":10218000000,
               "grossProfit":12876000000,
               "ebit":2658000000,
               "operatingIncome":2658000000,
               "otherOperatingExpenses":"None",
               "interestExpense":-1049000000,
               "extraordinaryItems":"None",}}]}}


pd.json_normalize(d['incomeStatementHistory']['F'])

输出：

  2019-12-31.researchDevelopment 2019-12-31.effectOfAccountingCharges  2019-12-31.incomeBeforeTax  ...  2019-12-31.otherOperatingExpenses  2019-12-31.interestExpense  2019-12-31.extraordinaryItems
0                           None                                 None                  -640000000  ...                               None                 -1049000000                           None

[1 rows x 12 columns]

---

你没有完整的回答，所以很难判断这是否是你想要的

d = {
   "incomeStatementHistory":{
      "F":[
         {
            "2019-12-31":{
               "researchDevelopment":"None",
               "effectOfAccountingCharges":"None",
               "incomeBeforeTax":-640000000,
               "minorityInterest":45000000,
               "netIncome":47000000,
               "sellingGeneralAdministrative":10218000000,
               "grossProfit":12876000000,
               "ebit":2658000000,
               "operatingIncome":2658000000,
               "otherOperatingExpenses":"None",
               "interestExpense":-1049000000,
               "extraordinaryItems":"None",}}]}}


pd.json_normalize(d['incomeStatementHistory']['F'])

输出：

  2019-12-31.researchDevelopment 2019-12-31.effectOfAccountingCharges  2019-12-31.incomeBeforeTax  ...  2019-12-31.otherOperatingExpenses  2019-12-31.interestExpense  2019-12-31.extraordinaryItems
0                           None                                 None                  -640000000  ...                               None                 -1049000000                           None

[1 rows x 12 columns]

---

谢谢你的快速回复。我读了第一个，并试图实现它，但我得到了这个。我只是在打印的时候把所有的东西都放在一根长长的绳子里。谢谢。0 balanceSheetHistory[{'2019-12-31'：{'capitalSurplus'：2216500000…感谢您的快速响应。我阅读了第一个并尝试实现它，但我得到了这个。我只是在打印时一直以一个长字符串获取所有内容。谢谢。0 balanceSheetHistory[{'2019-12-31'：{'capitalSurplus'：2216500000。。。