将 JSON 对象的一部分存储在 pandas df 中[重复]

我正在尝试将以下内容存储到 pandas 数据框中：

{    
"page": 1,
      "results": [
        {
          "poster_path": null,
          "adult": false,
          "overview": "Go behind the scenes during One Directions sell out \"Take Me Home\" tour and experience life on the road.",
          "release_date": "2013-08-30",
          "genre_ids": [
            99,
            10402
          ],
          "id": 164558,
          "original_title": "One Direction: This Is Us",
          "original_language": "en",
          "title": "One Direction: This Is Us",
          "backdrop_path": null,
          "popularity": 1.166982,
          "vote_count": 55,
          "video": false,
          "vote_average": 8.45
        },
        {
          "poster_path": null,
          "adult": false,
          "overview": "",
          "release_date": "1954-06-22",
          "genre_ids": [
            80,
            18
          ],
          "id": 654,
          "original_title": "On the Waterfront",
          "original_language": "en",
          "title": "On the Waterfront",
          "backdrop_path": null,
          "popularity": 1.07031,
          "vote_count": 51,
          "video": false,
          "vote_average": 8.19
         }
           etc....
           etc.....
      ],
      "total_results": 61,
      "total_pages": 4
    }

将每个结果的所有属性存储在 pandas 数据框中的最简单方法是什么？

我将 json 对象存储在 dict 变量中。我真的需要迭代存储在 dict 变量中的结果块并为每个 pandas 列定义每个字段吗？

这是我试图避免的：

columns = ['filmid', 'title'....... ]

# create dataframe 
df = pandas.DataFrame(columns=columns)


for film in films:

    df.loc[len(df)]=[film['id'],title['title']........................] 

您可能可以使用json_normalize功能。这是一个例子：

import json
from pandas.io.json import json_normalize

#Load data
with open('yourfile.json') as file:
        data = json.load(file)

flat_json_df = json_normalize(data['results'])

对我来说，当使用上面的数据时，它会产生以下数据框：

adult   backdrop_path   genre_ids   id  original_language   original_title  overview    popularity  poster_path release_date    title   video   vote_average    vote_count
0   False   None    [99, 10402] 164558  en  One Direction: This Is Us   Go behind the scenes during One Directions sel...   1.166982    None    2013-08-30  One Direction: This Is Us   False   8.45    55
1   False   None    [80, 18]    654 en  On the Waterfront       1.070310    None    1954-06-22  On the Waterfront   False   8.19    51