无法使用 Json.load 在 Python 中读取文件

Question

我正在尝试将存储在我的工作目录中的 .json 文件读入一个 jupyter 笔记本，最终将其放入 pandas 数据框以清理它，但我在使用 json.load 函数时遇到了困难。

数据是结构化的：

{
"URL":"http://www.just-eat.co.uk/restaurants-cn-chinese-cardiff/menu",    
"_id":{"$oid":"55f14312c7447c3da7051b26"},
"address":"228 City Road",
"address line 2":"Cardiff",
"name":".CN Chinese",
"outcode":"CF24",
"postcode":"3JH",
"rating":5,
"type_of_food":"Chinese"
}

我已经手动输入了两行数据来测试它工作正常

data = [{"URL":"http://www.just-eat.co.uk/restaurants-cn-chinese-cardiff/menu","_id":{"$oid":"55f14312c7447c3da7051b26"},"address":"228 City Road","address line 2":"Cardiff","name":".CN Chinese","outcode":"CF24","postcode":"3JH","rating":5,"type_of_food":"Chinese"}, {"URL":"http://www.just-eat.co.uk/restaurants-atthai-ss9/menu","_id":{"$oid":"55f14312c7447c3da7051b27"},"address":"376 Rayleigh Road","address line 2":"Essex","name":"@ Thai","outcode":"SS9","postcode":"5PT","rating":5.5,"type_of_food":"Thai"}]
df = pd.DataFrame.from_dict(data, orient='columns')
df

URL     _id     address     address line 2  name    outcode     postcode    rating  type_of_food
0   http://www.just-eat.co.uk/restaurants-cn-chine...   {u'$oid': u'55f14312c7447c3da7051b26'}  228 City Road   Cardiff     .CN Chinese     CF24    3JH     5.0     Chinese
1   http://www.just-eat.co.uk/restaurants-atthai-s...   {u'$oid': u'55f14312c7447c3da7051b27'}  376 Rayleigh Road   Essex   @ Thai  SS9     5PT     5.5     Thai

import json

​

但是当我尝试使用 2 种不同的 json.load 方法读取整个文件时，我收到相同的错误消息：

import json

with open('restaurant.json') as file:
    data = json.load(file)

或

import json

filename= 'restaurant.json'
Jdata= open(filename, 'r+')
print(json.load(Jdata))

我收到以下错误

ValueError                                Traceback (most recent call last)
<ipython-input-47-128297096a2b> in <module>()
      3 filename= 'restaurant.json'
      4 Jdata= open(filename, 'r+')
----> 5 print(json.load(Jdata))

/home/bdtech/anaconda2/lib/python2.7/json/__init__.pyc in load(fp, encoding, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)
    289         parse_float=parse_float, parse_int=parse_int,
    290         parse_constant=parse_constant, object_pairs_hook=object_pairs_hook,
--> 291         **kw)
    292 
    293 

/home/bdtech/anaconda2/lib/python2.7/json/__init__.pyc in loads(s, encoding, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)
    337             parse_int is None and parse_float is None and
    338             parse_constant is None and object_pairs_hook is None and not kw):
--> 339         return _default_decoder.decode(s)
    340     if cls is None:
    341         cls = JSONDecoder

/home/bdtech/anaconda2/lib/python2.7/json/decoder.pyc in decode(self, s, _w)
    365         end = _w(s, end).end()
    366         if end != len(s):
--> 367             raise ValueError(errmsg("Extra data", s, end, len(s)))
    368         return obj
    369 

ValueError: Extra data: line 2 column 1 - line 2549 column 1 (char 258 - 681632)

谢谢！

Answer 1

已修复 - 额外数据错误是因为它只读取一行

data = []
with open('restaurant.json') as f:
    for line in f:
        data.append(json.loads(line))

df = pd.DataFrame.from_dict(data, orient='columns')

根据需要将文件中的所有数据读入数据框