Question

我有这个JSON文件

*[
  {
    "name": "Kitty",
    "species" : "cat",
    "foods": {
      "likes": ["fresh food"],
      "dislikes": ["stale food"]
    }
  },
  {
    "name": "Pupster",
    "species" : "dog",
    "foods": {
      "likes": ["tomatoes", "peas"],
      "dislikes": ["bread"]
    }
  },
  {
    "name": "Tux",
    "species" : "cat",
    "foods": {
      "likes": ["fancy dishes"],
      "dislikes": ["basic cat food"]
    }
  }
]*

我以这种方式读取该文件：

    content = requests.get("https://raw.githubusercontent.com/LearnWebCode/json-example/master/animals-3.json") 
data = json.loads(content.content)
df = pd.DataFrame(data)

但是我想要的是仅读取JSON文件头并将它们存储在列表中。我有执行类似功能的代码

 getcolumns = list(df.columns.values)

但是我只得到以下内容

名称
种类
食物

我要实现的目标如下：

名称
种类
食物
喜欢
不喜欢

我是新来的熊猫人，任何建议都可以接受

Answer 1

列表理解应该起作用：

j = [
  {
    "name": "Kitty",
    "species" : "cat",
    "foods": {
      "likes": ["fresh food"],
      "dislikes": ["stale food"]
    }
  },
  {
    "name": "Pupster",
    "species" : "dog",
    "foods": {
      "likes": ["tomatoes", "peas"],
      "dislikes": ["bread"]
    }
  },
  {
    "name": "Tux",
    "species" : "cat",
    "foods": {
      "likes": ["fancy dishes"],
      "dislikes": ["basic cat food"]
    }
  }
]

getcolumns = [x for x in j[0]] + [x for x in j[0]['foods']]
# ['name', 'species', 'foods', 'likes', 'dislikes']

或者如果您需要数据框：

from pandas.io.json import json_normalize
df = json_normalize(j)

     foods.dislikes       foods.likes     name species
0      [stale food]      [fresh food]    Kitty     cat
1           [bread]  [tomatoes, peas]  Pupster     dog
2  [basic cat food]    [fancy dishes]      Tux     cat

用熊猫识别JSON中的标题

1 个答案: