python - 如何读取 Pandas 中的大型 json？

Question

我的代码是:data_review=pd.read_json('review.json')
我有数据 review 如下:

{
    // string, 22 character unique review id
    "review_id": "zdSx_SD6obEhz9VrW9uAWA",

    // string, 22 character unique user id, maps to the user in user.json
    "user_id": "Ha3iJu77CxlrFm-vQRs_8g",

    // string, 22 character business id, maps to business in business.json
    "business_id": "tnhfDv5Il8EaGSXZGiuQGg",

    // integer, star rating
    "stars": 4,

    // string, date formatted YYYY-MM-DD
    "date": "2016-03-09",

    // string, the review itself
    "text": "Great place to hang out after work: the prices are decent, and the ambience is fun. It's a bit loud, but very lively. The staff is friendly, and the food is good. They have a good selection of drinks.",

    // integer, number of useful votes received
    "useful": 0,

    // integer, number of funny votes received
    "funny": 0,

    // integer, number of cool votes received
    "cool": 0
}

但是我得到了以下错误:

    333             fh, handles = _get_handle(filepath_or_buffer, 'r',
    334                                       encoding=encoding)
--> 335             json = fh.read()
    336             fh.close()
    337         else:

OSError: [Errno 22] Invalid argument

我的json文件不包含任何注释和3.8G!我只是从这里下载文件来练习link

当我使用下面的代码时，抛出同样的错误:

import json
with open('review.json') as json_file:
    data = json.load(json_file)

Answer 1

如果您不想使用 for 循环，以下应该可以解决问题:

import pandas as pd

df = pd.read_json("foo.json", lines=True)

这将处理您的 json 文件看起来与此类似的情况:

{"foo": "bar"}
{"foo": "baz"}
{"foo": "qux"}

并将其转换为由单列 foo 和三行组成的 DataFrame。

您可以在 Panda 的 docs 阅读更多内容