Python 将JSON解析为数据帧

您知道如何从API规范化以下JSON输出吗

{
   "AA":{
      "country":"US",
      "currency":"USD",
      "exchange":"NEW YORK STOCK EXCHANGE, INC.",
      "finnhubIndustry":"Metals & Mining",
      "ipo":"2016-10-18",
      "logo":"",
      "marketCapitalization":4348.893,
      "name":"Alcoa Corp",
      "phone":"14123152900",
      "shareOutstanding":185.929586,
      "ticker":"AA",
      "weburl":"https://www.alcoa.com/global/en/home.asp"
   },
   "AAA":{
      
   },

使用pd.DataFrame.from_dict（json_normalize（df1），orient='columns'） 我得到：

---

但是我需要一种格式，其中AA.XXX是一行，为AAA.XXX添加了新行，您不需要调用

pd.json\u normalize

；只需使用

pd.DataFrame.from_dict

并将

orient

参数指定为

index

注意，我刚刚将您的json复制到一个新节点中，因此值是相同的

j = {
   "AA":{
      "country":"US",
      "currency":"USD",
      "exchange":"NEW YORK STOCK EXCHANGE, INC.",
      "finnhubIndustry":"Metals & Mining",
      "ipo":"2016-10-18",
      "logo":"",
      "marketCapitalization":4348.893,
      "name":"Alcoa Corp",
      "phone":"14123152900",
      "shareOutstanding":185.929586,
      "ticker":"AA",
      "weburl":"https://www.alcoa.com/global/en/home.asp"
   },
   "AAA":{
      "country":"US",
      "currency":"USD",
      "exchange":"NEW YORK STOCK EXCHANGE, INC.",
      "finnhubIndustry":"Metals & Mining",
      "ipo":"2016-10-18",
      "logo":"",
      "marketCapitalization":4348.893,
      "name":"Alcoa Corp",
      "phone":"14123152900",
      "shareOutstanding":185.929586,
      "ticker":"AA",
      "weburl":"https://www.alcoa.com/global/en/home.asp"} }

---

---

您不需要调用

pd.json\u normalize

；只需使用

pd.DataFrame.from_dict

并将

orient

参数指定为

index

注意，我刚刚将您的json复制到一个新节点中，因此值是相同的

j = {
   "AA":{
      "country":"US",
      "currency":"USD",
      "exchange":"NEW YORK STOCK EXCHANGE, INC.",
      "finnhubIndustry":"Metals & Mining",
      "ipo":"2016-10-18",
      "logo":"",
      "marketCapitalization":4348.893,
      "name":"Alcoa Corp",
      "phone":"14123152900",
      "shareOutstanding":185.929586,
      "ticker":"AA",
      "weburl":"https://www.alcoa.com/global/en/home.asp"
   },
   "AAA":{
      "country":"US",
      "currency":"USD",
      "exchange":"NEW YORK STOCK EXCHANGE, INC.",
      "finnhubIndustry":"Metals & Mining",
      "ipo":"2016-10-18",
      "logo":"",
      "marketCapitalization":4348.893,
      "name":"Alcoa Corp",
      "phone":"14123152900",
      "shareOutstanding":185.929586,
      "ticker":"AA",
      "weburl":"https://www.alcoa.com/global/en/home.asp"} }

---

---

如果您想使用

json\u normalize

，您可以通过如下方式调用数据帧：

from pandas import json_normalize

json_normalize([d for d in j.values()])

---

如果您想使用

json\u normalize

，您可以通过如下方式调用数据帧：

from pandas import json_normalize

json_normalize([d for d in j.values()])

---

我更改了json中第二个节点的几个字段值，以确保它正在做它应该做的事情：）我更改了json中第二个节点的几个字段值，以确保它正在做它应该做的事情：）