Question

我有下一个JSON文件：

{
    "_id": "2105291180380642",
    "firstKey": "1651560",
    "secondKey": "2108270",
    "thirdKey": "4725",
    "fourthKy": "5",
    "userId": "fjbcjsda",
    "subscription": "null",
    "deviceId": "android_ST25i_1264-3545",
    "appId": "1.4",
    "sample": "false",
    "auth": "null",
    "usageType": "s",
    "type": "l",
    "occurredAt": "1374781560092"
}

我可以在JSONlit.com上证明这一点并获取valid JSON。在Pandas Python中导入此文件（文件内容仅来自一行）后，尝试使用以下命令创建一些DataFrame：

import pandas as pd    
df = pd.read_json('test.json')

或

df = pd.read_json('test.json',orient='columns')

我总是得到一条错误信息：

If using all scalar values, you must must pass an index

如何使用read_json将JSON文件导入DataFrame？此命令目前还不知道有效的JSON文件。我的熊猫版本是0.13.1

Json导入到pandas DataFrame中

0 个答案: