将包含多行JSON的文件加载到Pandas中

我正在尝试将JSON文件读入Python熊猫(0.14.0)数据帧中。这是JSON文件的第一行:

{"votes": {"funny": 0, "useful": 0, "cool": 0}, "user_id": "P_Mk0ygOilLJo4_WEvabAA", "review_id": "OeT5kgUOe3vcN7H6ImVmZQ", "stars": 3, "date": "2005-08-26", "text": "This is a pretty typical cafe.  The sandwiches and wraps are good but a little overpriced and the food items are the same.  The chicken caesar salad wrap is my favorite here but everything else is pretty much par for the course.", "type": "review", "business_id": "Jp9svt7sRT4zwdbzQ8KQmw"}

我正在尝试执行以下操作:df = pd.read_json(path)

我收到以下错误(具有完整的追溯):

Traceback (most recent call last):

File "<stdin>", line 1, in <module>

File "/Users/d/anaconda/lib/python2.7/site-packages/pandas/io/json.py", line 198, in read_json

date_unit).parse()

File "/Users/d/anaconda/lib/python2.7/site-packages/pandas/io/json.py", line 266, in parse

self._parse_no_numpy()

File "/Users/d/anaconda/lib/python2.7/site-packages/pandas/io/json.py", line 483, in _parse_no_numpy

loads(json, precise_float=self.precise_float), dtype=None)

ValueError: Trailing data

有什么Trailing data错误?如何将其读入数据框?

遵循一些建议,以下是.json文件的几行:

{"votes": {"funny": 0, "useful": 0, "cool": 0}, "user_id": "P_Mk0ygOilLJo4_WEvabAA", "review_id": "OeT5kgUOe3vcN7H6ImVmZQ", "stars": 3, "date": "2005-08-26", "text": "This is a pretty typical cafe.  The sandwiches and wraps are good but a little overpriced and the food items are the same.  The chicken caesar salad wrap is my favorite here but everything else is pretty much par for the course.", "type": "review", "business_id": "Jp9svt7sRT4zwdbzQ8KQmw"}

{"votes": {"funny": 0, "useful": 0, "cool": 0}, "user_id": "TNJRTBrl0yjtpAACr1Bthg", "review_id": "qq3zF2dDUh3EjMDuKBqhEA", "stars": 3, "date": "2005-11-23", "text": "I agree with other reviewers - this is a pretty typical financial district cafe. However, they have fantastic pies. I ordered three pies for an office event (apple, pumpkin cheesecake, and pecan) - all were delicious, particularly the cheesecake. The sucker weighed in about 4 pounds - no joke.\n\nNo surprises on the cafe side - great pies and cakes from the catering business.", "type": "review", "business_id": "Jp9svt7sRT4zwdbzQ8KQmw"}

{"votes": {"funny": 0, "useful": 0, "cool": 0}, "user_id": "H_mngeK3DmjlOu595zZMsA", "review_id": "i3eQTINJXe3WUmyIpvhE9w", "stars": 3, "date": "2005-11-23", "text": "Decent enough food, but very overpriced. Just a large soup is almost $5. Their specials are $6.50, and with an overpriced soda or juice, it's approaching $10. A bit much for a cafe lunch!", "type": "review", "business_id": "Jp9svt7sRT4zwdbzQ8KQmw"}

根据规范,我正在使用的.json文件每行包含一个JSON对象。

我按照建议尝试了jsonlint.com网站,它给出了以下错误:

Parse error on line 14:

...t7sRT4zwdbzQ8KQmw"}{ "votes": {

----------------------^

Expecting 'EOF', '}', ',', ']'

回答:

从Pandas的0.19.0版开始,您可以使用lines参数,如下所示:

import pandas as pd

data = pd.read_json('/path/to/file.json', lines=True)

以上是 将包含多行JSON的文件加载到Pandas中 的全部内容, 来源链接: utcz.com/qa/401579.html

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