Question

我有两个json提要，我将它们合并到一个文件中。事件和用户。我需要从users.json获取平均年龄，以确定访问首页（events.json）的所有不同用户的平均年龄。

示例JSON Feed事件：

  "events": [
    {
      "name": "Added item to cart",
      "timestamp": 1422119921,
      "user_id": "5a5598f2-f7db-420e-9b8e-52a9ad694bc1"
    },
    {
      "name": "Visited product page",
      "timestamp": 1409554014,
      "user_id": "4683c9b6-3c8b-4215-a401-a9bbfde833ee"
    }

示例用户供稿：

      "age": 27,
      "gender": "F",
      "device": "android"
    },
    "712ae3b5-fbf0-4d83-9324-adc06af77d3a": {
      "age": 34,
      "gender": "F",
      "device": "android"
    },

我是python的新手，我相信下面的代码是正确的，但不确定下一步该怎么做。任何其他帮助将不胜感激。

import json 
  
# Opening JSON file 
with open('combined.json') as json_file: 
    data = json.load(json_file) 
  
    # for reading nested data [0] represents 
    # the index value of the list 
    print(data['events'][0]) 
    print(data['users'][0])
      
    # for printing the key-value pair of 
    # nested dictionary for looop can be used 
    print("\nPrinting nested dicitonary as a key-value pair\n") 
    for i in data['events']: 
        print("Name:", i['name'])
  for i in data ['users']:
        print ("Age:", i['age'])

Answer 1

您处在正确的轨道上，只需将所有年龄段相加并除以用户数即可。这是这样做的一种方式：

import json 

# Opening JSON file 
with open('combined.json') as json_file: 
    data = json.load(json_file) 
 
    total_age = 0
    counter = 0
    for k, v in json.load(data['users']).items():
        # Add all the ages
        total_age += v['age']
        counter += 1
    
    print(total_age / counter)

从两个JSON数组中获取平均值

1 个答案: