使用python從json文件中提取數據

Question

我有這個 json 文件。

{
  "entityId": "PROCESS_1234",
  "displayName": "Windows System",
  "firstSeenTms": 1619147697131,
  "lastSeenTms": 1653317760000,
  "properties": {
    "detectedName": "Windows System",
    "bitness": "32",
    "metadata": [],
    "awsNameTag": "Windows System",
    "softwareTechnologies": [
      {
        "type": "WINDOWS_SYSTEM"
      }
    ],
    "processType": "WINDOWS_SYSTEM"
    
    
  }
  
}

我需要提取 entityId": "PROCESS_1234" 和 "properties": { "detectedName": "Windows System" 作為數據框。數據框需要如下所示：

entityId        detectedName
PROCESS_1234    Windows System

我試過這個：

print(resp2['entityId']['properties'][0]['detectedName'])

我收到此錯誤：

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-6-09b87f04b95e> in <module>
----> 1 print(resp2['entityId']['properties'][0]['detectedName'])

TypeError: string indices must be integers

Answer 1

要提取entityId ，請執行以下操作：

print(resp2['entityId'])

要提取detectedName名稱，請執行以下操作：

print(resp2['properties']['detectedName'])

Answer 2

傳遞字符串值時會發生此錯誤

print(resp2[0][1]) 試試這樣。

Answer 3

該程序

import pandas as pd
data = {
  "entityId": "PROCESS_1234",
  "displayName": "Windows System",
  "firstSeenTms": 1619147697131,
  "lastSeenTms": 1653317760000,
  "properties": {
    "detectedName": "Windows System",
    "bitness": "32",
    "metadata": [],
    "awsNameTag": "Windows System",
    "softwareTechnologies": [
      {
        "type": "WINDOWS_SYSTEM"
      }
    ],
    "processType": "WINDOWS_SYSTEM"
  }
}

rows = [(data['entityId'], data['properties']['detectedName'])]
x = pd.DataFrame(data=rows, columns=['entityId', 'detectedName'])
print(x)

輸出

bash-5.1$ python3 c.py
       entityId    detectedName
0  PROCESS_1234  Windows System