python - How to convert my json data to dataframe pandas

Question

Hi i cannot seem to convert my json data to csv using python please help:

{
    "metadata": {
        "application": "orders-prod",
        "host": "ldn001"

    },
    "OrdID": "123",
    "EventSeq": "328",
    "EventTS": "2019-04-17T01:01:14.569000Z"

}
{
    "metadata": {
        "application": "orders-prod",
        "host": "ldn001"

    },
    "OrdID": "234",
    "EventSeq": "328",
    "EventTS": "2019-04-17T01:01:14.569000Z"

}
{
    "metadata": {
        "application": "orders-prod",
        "host": "ldn001"

    },
    "OrdID": "554",
    "EventSeq": "328",
    "EventTS": "2019-04-17T01:01:14.569000Z"

}

df=pd.read_json('smallordersl.json',lines=True)

I tried the above but it doesn't work- i get the error ValueError: Expected object or value.

标签： pythonjsonpandas

Answer 1

您的 json 文件不是您指定的每行。请参阅文档中有关读取 json 文件的以下注释。 https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_json.html

lines : boolean, default False
Read the file as a json object per line.

下面是在参数中使用lines=True 的示例

pd.read_json('{"a":1,"b":2}\n{"a":3,"b":4}', lines=True)

注意上面的 json 文件有 line1 和 line2，用换行符 (\n) 隔开