Python 将JSON文件读入数据帧

我正在尝试读取一系列JSON文件并将其转换为Pandas DataFrame，但是，我所遵循的示例中没有一个适用于读取部分

这是我拥有的JSON文件的一个示例：

{
    "created_at": "Thu Nov 02 01:09:12 +0000 2017",
    "text": "RT @coindesk: SEC: Celebrity ICO Endorsements Could Be Illegal gHoWduXOBp t.co/iyWla0Ryuk",
    "tweet_id": 925892516087558145,
    "user_id": 153962533,
    "user_name": "Christine Duhaime"
}{
    "created_at": "Thu Nov 02 01:09:44 +0000 2017",
    "text": "Cornell Professor C t.co/RuNu6UQyr9",
    "tweet_id": 925892650884108289,
    "user_id": 1255045351,
    "user_name": "Local SEO Somerset"
}

我试过：

with codecs.open('./output/streamer_20171022-2010.json', 'r+', encoding='utf-8') as data_file:
    data = json.load(data_file)

这导致了

JSONDecodeError: Extra data: line 1 column 416 (char 415)

我还试着一行一行地读……没有成功

---

有什么想法吗？

您的JSON文件格式无效。在有效的JSON中只能有一个顶级元素

尝试将顶级对象放置到阵列中

[
    { "created_at": "Thu Nov 02 01:09:12 +0000 2017", 
      "text": "RT @coindesk: SEC: Celebrity ICO Endorsements Could Be Illegal gHoWduXOBp t.co/iyWla0Ryuk",
      "tweet_id": 925892516087558145,
      "user_id": 153962533, 
      "user_name": "Christine Duhaime" 
    }, { 
      "created_at": "Thu Nov 02 01:09:44 +0000 2017",
      "text": "Cornell Professor C t.co/RuNu6UQyr9", 
      "tweet_id": 925892650884108289,
      "user_id": 1255045351,
      "user_name": "Local SEO Somerset" 
    }
]

---

嗨，Caio，我在这里有一个不同。谢谢你的提示。干杯：快乐编码