python - 如何使用 python 格式化具有多个相同键的 JSON？

Question

我有一个程序，现在可以使用 powershell 脚本和 WMI 来获取温度等数据并进行加载。它将数据输出为 JSON 文件。现在让我先说这是我第一次使用 JSON，而且我对 JSON python 库不是很熟悉。这是我的程序的代码:

import subprocess
import json

p = subprocess.Popen(["C:\\WINDOWS\\system32\\WindowsPowerShell\\v1.0\\powershell.exe", ". \"./TestScript\";", "&NSV"], stdout=subprocess.PIPE)
(output, err) = p.communicate()

data = json.loads(output)

for mNull in data:
    del mNull['Scope']
    del mNull['Path']
    del mNull['Options']
    del mNull['ClassPath']
    del mNull['Properties']
    del mNull['SystemProperties']
    del mNull['Qualifiers']
    del mNull['Site']
    del mNull['Container']
    del mNull['PSComputerName']
    del mNull['__GENUS']
    del mNull['__CLASS']
    del mNull['__SUPERCLASS']
    del mNull['__DYNASTY']
    del mNull['__RELPATH']
    del mNull['__PROPERTY_COUNT']
    del mNull['__DERIVATION']
    del mNull['__SERVER']
    del mNull['__NAMESPACE']
    del mNull['__PATH']

fdata = json.dumps(data,indent=2)

print(fdata)

现在这是生成的 JSON:

[
  {
    "Name": "Memory",
    "SensorType": "Load",
    "Value": 53.3276978
  },
  {
    "Name": "CPU Core #2",
    "SensorType": "Temperature",
    "Value": 69
  },
  {
    "Name": "Used Space",
    "SensorType": "Load",
    "Value": 93.12801
  },
  {
    "Name": "CPU Core #1",
    "SensorType": "Temperature",
    "Value": 66
  },
  {
    "Name": "CPU DRAM",
    "SensorType": "Power",
    "Value": 1.05141532
  },
  {
    "Name": "CPU Core #2",
    "SensorType": "Load",
    "Value": 60.15625
  },
  {
    "Name": "CPU Package",
    "SensorType": "Power",
    "Value": 15.2162886
  },
  {
    "Name": "Bus Speed",
    "SensorType": "Clock",
    "Value": 100.000031
  },
  {
    "Name": "CPU Total",
    "SensorType": "Load",
    "Value": 57.421875
  },
  {
    "Name": "CPU Package",
    "SensorType": "Temperature",
    "Value": 69
  },
  {
    "Name": "CPU Core #2",
    "SensorType": "Clock",
    "Value": 2700.00073
  },
  {
    "Name": "Temperature",
    "SensorType": "Temperature",
    "Value": 41
  },
  {
    "Name": "Used Memory",
    "SensorType": "Data",
    "Value": 4.215393
  },
  {
    "Name": "Available Memory",
    "SensorType": "Data",
    "Value": 3.68930435
  },
  {
    "Name": "CPU Core #1",
    "SensorType": "Clock",
    "Value": 3100.001
  },
  {
    "Name": "CPU Cores",
    "SensorType": "Power",
    "Value": 13.3746643
  },
  {
    "Name": "CPU Graphics",
    "SensorType": "Power",
    "Value": 0.119861834
  },
  {
    "Name": "CPU Core #1",
    "SensorType": "Load",
    "Value": 54.6875
  }
]

如您所见，列表中的每个字典都有键 Name、SensorType 和 Value。

我想要做的是让每个列表都有一个与每个列表中的名称相同的“标签”，这样我就可以一次调用特定条目中的数据。再说一次，我是 JSON 及其库的新手，所以我什至不确定这种事情是否可能。任何帮助将不胜感激!祝你有美好的一天! :)

编辑1:下面是一个示例，使用前 2 个，我希望程序能够输出内容。

[
  "Memory":{
    "SensorType": "Load",
    "Value": 53.3276978
  },
  "CPU Core #2":{
    "SensorType": "Temperature",
    "Value": 69
  }
]

再一次，我什至不知道这是否是有效的 JSON，但我希望它至少执行类似的操作，以便我可以调用，例如 print(data["Memory"]["Value "]) 并返回，53.3276978。

编辑2:我确实想到有一些名称具有多种传感器类型，例如 “CPU Core #1” 和 “CPU Core #2” 都有 “温度”、“负载” 和 “时钟”。使用上面的示例可能会导致一些冲突，那么我们有没有办法解决这个问题？

Answer 1

假设如果键已经存在，您需要保留值:

import json
data = [
{
    "Name": "Memory",
    "SensorType": "Load",
    "Value": 53.3276978
},
{
    "Name": "CPU Core #2",
    "SensorType": "Temperature",
    "Value": 69
},
{
    "Name": "Used Space",
    "SensorType": "Load",
    "Value": 93.12801
},
{
    "Name": "CPU Core #1",
    "SensorType": "Temperature",
    "Value": 66
},
{
    "Name": "CPU DRAM",
    "SensorType": "Power",
    "Value": 1.05141532
},
{
    "Name": "CPU Core #2",
    "SensorType": "Load",
    "Value": 60.15625
},
{
    "Name": "CPU Package",
    "SensorType": "Power",
    "Value": 15.2162886
},
{
    "Name": "Bus Speed",
    "SensorType": "Clock",
    "Value": 100.000031
},
{
    "Name": "CPU Total",
    "SensorType": "Load",
    "Value": 57.421875
},
{
    "Name": "CPU Package",
    "SensorType": "Temperature",
    "Value": 69
},
{
    "Name": "CPU Core #2",
    "SensorType": "Clock",
    "Value": 2700.00073
},
{
    "Name": "Temperature",
    "SensorType": "Temperature",
    "Value": 41
},
{
    "Name": "Used Memory",
    "SensorType": "Data",
    "Value": 4.215393
},
{
    "Name": "Available Memory",
    "SensorType": "Data",
    "Value": 3.68930435
},
{
    "Name": "CPU Core #1",
    "SensorType": "Clock",
    "Value": 3100.001
},
{
    "Name": "CPU Cores",
    "SensorType": "Power",
    "Value": 13.3746643
},
{
    "Name": "CPU Graphics",
    "SensorType": "Power",
    "Value": 0.119861834
},
{
    "Name": "CPU Core #1",
    "SensorType": "Load",
    "Value": 54.6875
}
]

final_data = {}

for d in data:
    if d['Name'] not in final_data:
        final_data[d['Name']] = list()

    key = d.pop('Name')
    final_data[key].append(temp)


print json.dumps(final_data,indent=4)

会给你

{
"CPU Package": [
    {
        "SensorType": "Power",
        "Value": 15.2162886
    },
    {
        "SensorType": "Temperature",
        "Value": 69
    }
],
"Temperature": [
    {
        "SensorType": "Temperature",
        "Value": 41
    }
],
"CPU Core #2": [
    {
        "SensorType": "Temperature",
        "Value": 69
    },
    {
        "SensorType": "Load",
        "Value": 60.15625
    },
    {
        "SensorType": "Clock",
        "Value": 2700.00073
    }
],
"CPU Core #1": [
    {
        "SensorType": "Temperature",
        "Value": 66
    },
    {
        "SensorType": "Clock",
        "Value": 3100.001
    },
    {
        "SensorType": "Load",
        "Value": 54.6875
    }
],
"CPU Cores": [
    {
        "SensorType": "Power",
        "Value": 13.3746643
    }
],
"Available Memory": [
    {
        "SensorType": "Data",
        "Value": 3.68930435
    }
],
"Used Space": [
    {
        "SensorType": "Load",
        "Value": 93.12801
    }
],
"Bus Speed": [
    {
        "SensorType": "Clock",
        "Value": 100.000031
    }
],
"Memory": [
    {
        "SensorType": "Load",
        "Value": 53.3276978
    }
],
"Used Memory": [
    {
        "SensorType": "Data",
        "Value": 4.215393
    }
],
"CPU Total": [
    {
        "SensorType": "Load",
        "Value": 57.421875
    }
],
"CPU DRAM": [
    {
        "SensorType": "Power",
        "Value": 1.05141532
    }
],
"CPU Graphics": [
    {
        "SensorType": "Power",
        "Value": 0.119861834
    }
]
}

希望这有帮助