从具有多个级别的嵌套字典中获取数据

Question

我是python的新手。这是一个嵌套的JSON文件。我在Jupyter Notebook上使用python。

我想创建一个循环，以便提取unitsWattSeconds和billAmount。我无法从h12迭代到其他小时。

with open('C:\\work\\greenturn\\selvam.json') as f:
    json_data = json.load(f)
    for hour in json_data['2018-09-03']['Hourly']:
        print(json_data['2018-09-03']['Hourly']['h12'])

在这里，我不明白如何创建从h12到h13等的迭代循环。

{
  "2018-09-03" : {

    "ExtraSummary" : {
      "phantomUnitsKwh" : 855.312
    },
    "Hourly" : {
      "h12" : {
        "billAmount" : 0,
        "createdAt" : 1535957349481,
        "fromTimestamp" : 1535957349481,
        "hour" : "h12",
        "toTimestamp" : 1535957349481,
        "unitsWattSeconds" : 211044826,
        "updatedAt" : 1535957349481
      },
      "h13" : {
        "billAmount" : 0,
        "createdAt" : 1535960342711,
        "fromTimestamp" : 1535960342711,
        "hour" : "h13",
        "toTimestamp" : 1535960342711,
        "unitsWattSeconds" : 282814657,
        "updatedAt" : 1535960342711
      },
      "h14" : {
        "billAmount" : 0,
        "createdAt" : 1535963945252,
        "fromTimestamp" : 1535963945252,
        "hour" : "h14",
        "toTimestamp" : 1535963945252,
        "unitsWattSeconds" : 270476208,
        "updatedAt" : 1535963945252
      },
      "h15" : {
        "billAmount" : 0,
        "createdAt" : 1535967544013,
        "fromTimestamp" : 1535967544013,
        "hour" : "h15",
        "toTimestamp" : 1535967544013,
        "unitsWattSeconds" : 232294125,
        "updatedAt" : 1535967544013
      },
      "h16" : {
        "billAmount" : 0,
        "createdAt" : 1535971142799,
        "fromTimestamp" : 1535971142799,
        "hour" : "h16",
        "toTimestamp" : 1535971142799,
        "unitsWattSeconds" : 263890609,
        "updatedAt" : 1535971142799
      },
      "h17" : {
        "billAmount" : 0,
        "createdAt" : 1535974744637,
        "fromTimestamp" : 1535974744637,
        "hour" : "h17",
        "toTimestamp" : 1535974744637,
        "unitsWattSeconds" : 219126193,
        "updatedAt" : 1535974744637
      },
      "h18" : {
        "billAmount" : 0,
        "createdAt" : 1535978342751,
        "fromTimestamp" : 1535978342751,
        "hour" : "h18",
        "toTimestamp" : 1535978342751,
        "unitsWattSeconds" : 233109086,
        "updatedAt" : 1535978342751
      },
      "h19" : {
        "billAmount" : 0,
        "createdAt" : 1535981943846,
        "fromTimestamp" : 1535981943846,
        "hour" : "h19",
        "toTimestamp" : 1535981943846,
        "unitsWattSeconds" : 220127313,
        "updatedAt" : 1535981943846
      },
      "h20" : {
        "billAmount" : 0,
        "createdAt" : 1535985544790,
        "fromTimestamp" : 1535985544790,
        "hour" : "h20",
        "toTimestamp" : 1535985544790,
        "unitsWattSeconds" : 240706357,
        "updatedAt" : 1535985544790
      },
      "h21" : {
        "billAmount" : 0,
        "createdAt" : 1535989143882,
        "fromTimestamp" : 1535989143882,
        "hour" : "h21",
        "toTimestamp" : 1535989143882,
        "unitsWattSeconds" : 197464734,
        "updatedAt" : 1535989143882
      },
      "h22" : {
        "billAmount" : 0,
        "createdAt" : 1535992744209,
        "fromTimestamp" : 1535992744209,
        "hour" : "h22",
        "toTimestamp" : 1535992744209,
        "unitsWattSeconds" : 226102413,
        "updatedAt" : 1535992744209
      },
      "h23" : {
        "billAmount" : 0,
        "createdAt" : 1535996342258,
        "fromTimestamp" : 1535996342258,
        "hour" : "h23",
        "toTimestamp" : 1535996342258,
        "unitsWattSeconds" : 248254455,
        "updatedAt" : 1535996342258
      }
    },
    "Summary" : {
      "billAmount" : 0,
      "createdAt" : 1535957349561,
      "date" : "2018-09-03",
      "toTimestamp" : 1535957349561,
      "unitsKwh" : 788.304046,
      "updatedAt" : 1535957349561
    }
  }

Answer 1

使用.items()

例如：

for hour, value in json_data['2018-09-03']['Hourly'].items():
    print(hour, value)

输出：

('h14', {'billAmount': 0, 'hour': 'h14', 'fromTimestamp': 1535963945252L, 'toTimestamp': 1535963945252L, 'updatedAt': 1535963945252L, 'unitsWattSeconds': 270476208, 'createdAt': 1535963945252L})
('h15', {'billAmount': 0, 'hour': 'h15', 'fromTimestamp': 1535967544013L, 'toTimestamp': 1535967544013L, 'updatedAt': 1535967544013L, 'unitsWattSeconds': 232294125, 'createdAt': 1535967544013L})
('h23', {'billAmount': 0, 'hour': 'h23', 'fromTimestamp': 1535996342258L, 'toTimestamp': 1535996342258L, 'updatedAt': 1535996342258L, 'unitsWattSeconds': 248254455, 'createdAt': 1535996342258L})
('h17', {'billAmount': 0, 'hour': 'h17', 'fromTimestamp': 1535974744637L, 'toTimestamp': 1535974744637L, 'updatedAt': 1535974744637L, 'unitsWattSeconds': 219126193, 'createdAt': 1535974744637L})
('h18', {'billAmount': 0, 'hour': 'h18', 'fromTimestamp': 1535978342751L, 'toTimestamp': 1535978342751L, 'updatedAt': 1535978342751L, 'unitsWattSeconds': 233109086, 'createdAt': 1535978342751L})
('h19', {'billAmount': 0, 'hour': 'h19', 'fromTimestamp': 1535981943846L, 'toTimestamp': 1535981943846L, 'updatedAt': 1535981943846L, 'unitsWattSeconds': 220127313, 'createdAt': 1535981943846L})
('h12', {'billAmount': 0, 'hour': 'h12', 'fromTimestamp': 1535957349481L, 'toTimestamp': 1535957349481L, 'updatedAt': 1535957349481L, 'unitsWattSeconds': 211044826, 'createdAt': 1535957349481L})
('h13', {'billAmount': 0, 'hour': 'h13', 'fromTimestamp': 1535960342711L, 'toTimestamp': 1535960342711L, 'updatedAt': 1535960342711L, 'unitsWattSeconds': 282814657, 'createdAt': 1535960342711L})
('h21', {'billAmount': 0, 'hour': 'h21', 'fromTimestamp': 1535989143882L, 'toTimestamp': 1535989143882L, 'updatedAt': 1535989143882L, 'unitsWattSeconds': 197464734, 'createdAt': 1535989143882L})
('h20', {'billAmount': 0, 'hour': 'h20', 'fromTimestamp': 1535985544790L, 'toTimestamp': 1535985544790L, 'updatedAt': 1535985544790L, 'unitsWattSeconds': 240706357, 'createdAt': 1535985544790L})
('h16', {'billAmount': 0, 'hour': 'h16', 'fromTimestamp': 1535971142799L, 'toTimestamp': 1535971142799L, 'updatedAt': 1535971142799L, 'unitsWattSeconds': 263890609, 'createdAt': 1535971142799L})
('h22', {'billAmount': 0, 'hour': 'h22', 'fromTimestamp': 1535992744209L, 'toTimestamp': 1535992744209L, 'updatedAt': 1535992744209L, 'unitsWattSeconds': 226102413, 'createdAt': 1535992744209L})