用Spotify API中的熊猫构建经过还原的数据帧的最佳方法

Question

我刚刚从spotify下载了一些json，并查看了pd.normalize_json（）。

但是如果我规范化数据，我的数据框内仍然会有字典。同样设置级别也无济于事。

我想在数据框中包含的数据：

{
  "collaborative": false,
  "description": "",
  "external_urls": {
    "spotify": "https://open.spotify.com/playlist/5"
  },
  "followers": {
    "href": null,
    "total": 0
  },
  "href": "https://api.spotify.com/v1/playlists/5?additional_types=track",
  "id": "5",
  "images": [
    {
      "height": 640,
      "url": "https://i.scdn.co/image/a",
      "width": 640
    }
  ],
  "name": "Another",
  "owner": {
    "display_name": "user",
    "external_urls": {
      "spotify": "https://open.spotify.com/user/user"
    },
    "href": "https://api.spotify.com/v1/users/user",
    "id": "user",
    "type": "user",
    "uri": "spotify:user:user"
  },
  "primary_color": null,
  "public": true,
  "snapshot_id": "M2QxNTcyYTkMDc2",
  "tracks": {
    "href": "https://api.spotify.com/v1/playlists/100&additional_types=track",
    "items": [
      {
        "added_at": "2020-12-13T18:34:09Z",
        "added_by": {
          "external_urls": {
            "spotify": "https://open.spotify.com/user/user"
          },
          "href": "https://api.spotify.com/v1/users/user",
          "id": "user",
          "type": "user",
          "uri": "spotify:user:user"
        },
        "is_local": false,
        "primary_color": null,
        "track": {
          "album": {
            "album_type": "album",
            "artists": [
              {
                "external_urls": {
                  "spotify": "https://open.spotify.com/artist/1dfeR4Had"
                },
                "href": "https://api.spotify.com/v1/artists/1dfDbWqFHLkxsg1d",
                "id": "1dfeR4HaWDbWqFHLkxsg1d",
                "name": "Q",
                "type": "artist",
                "uri": "spotify:artist:1dfeRqFHLkxsg1d"
              }
            ],
            "available_markets": [
              "CA",
              "US"
            ],
            "external_urls": {
              "spotify": "https://open.spotify.com/album/6wPXmlLzZ5cCa"
            },
            "href": "https://api.spotify.com/v1/albums/6wPXUJ9LzZ5cCa",
            "id": "6wPXUmYJ9zZ5cCa",
            "images": [
              {
                "height": 640,
                "url": "https://i.scdn.co/image/ab676620a47",
                "width": 640
              },
              {
                "height": 300,
                "url": "https://i.scdn.co/image/ab67616d0620a47",
                "width": 300
              },
              {
                "height": 64,
                "url": "https://i.scdn.co/image/ab603e6620a47",
                "width": 64
              }
            ],
            "name": "The (Deluxe ",
            "release_date": "1920-07-17",
            "release_date_precision": "day",
            "total_tracks": 15,
            "type": "album",
            "uri": "spotify:album:6m5cCa"
          },
          "artists": [
            {
              "external_urls": {
                "spotify": "https://open.spotify.com/artist/1dg1d"
              },
              "href": "https://api.spotify.com/v1/artists/1dsg1d",
              "id": "1dfeR4HaWDbWqFHLkxsg1d",
              "name": "Q",
              "type": "artist",
              "uri": "spotify:artist:1dxsg1d"
            }
          ],
          "available_markets": [
            "CA",
            "US"
          ],
          "disc_number": 1,
          "duration_ms": 21453,
          "episode": false,
          "explicit": false,
          "external_ids": {
            "isrc": "GBU6015"
          },
          "external_urls": {
            "spotify": "https://open.spotify.com/track/5716J"
          },
          "href": "https://api.spotify.com/v1/tracks/5716J",
          "id": "5716J",
          "is_local": false,
          "name": "Another",
          "popularity": 73,
          "preview_url": null,
          "track": true,
          "track_number": 3,
          "type": "track",
          "uri": "spotify:track:516J"
        },
        "video_thumbnail": {
          "url": null
        }
      }
    ],
    "limit": 100,
    "next": null,
    "offset": 0,
    "previous": null,
    "total": 1
  },
  "type": "playlist",
  "uri": "spotify:playlist:fek"
}

那么，将这样的嵌套数据读入熊猫的一个数据框中的最佳实践是什么？

我很高兴提供任何建议。

编辑：

所以基本上，我希望所有键都作为数据帧中的列。但是通过归一化，它会停在“ tracks.items”，如果我再次对其进行归一化，我将再次遇到递归问题。

Answer 1

取决于您要查找的信息。看一下pandas.read_json（）看看是否可以工作。您也可以这样选择数据

json_output = {"collaborative": 'false',"description": "",  "external_urls": {"spotify": "https://open.spotify.com/playlist/5"}}
df['collaborative'] = json_output['collaborative'] #set value of your df to value of returned json values