python读取多⾏json_python–将包含多⾏JSON的⽂件加载到
Pandas中
我试图在JSON⽂件中读⼊Python pandas(0.14.0)数据帧.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(完全追溯)：
Traceback (most recent call last):
File "", line 1, in
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
什么是尾随数据错误？如何将其读⼊数据框？
根据⼀些建议，这⾥有⼏⾏.json⽂件：
{"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"}
我使⽤的这个.json⽂件按照规范在每⼀⾏中包含⼀个JSON对象.
我按照建议尝试了jsonlint⽹站，它给出了以下错误：
Parse error on line 14:
...t7sRT4zwdbzQ8KQmw"}{ "votes": {
----------------------^
Expecting 'EOF', '}', ',', ']'
解决⽅法:
从Pandas版本0.19.0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)python怎么读取json文件
标签：python,pandas,json,python-2-7

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