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2025-03-15 08:00:06

Python json。loads显示ValueError:额外数据

我正在从JSON文件“new”中获取一些数据。json”，我想过滤一些数据，并将其存储到一个新的json文件。这是我的代码:

import json
with open('new.json') as infile:
    data = json.load(infile)
for item in data:
    iden = item.get["id"]
    a = item.get["a"]
    b = item.get["b"]
    c = item.get["c"]
    if c == 'XYZ' or  "XYZ" in data["text"]:
        filename = 'abc.json'
    try:
        outfile = open(filename,'ab')
    except:
        outfile = open(filename,'wb')
    obj_json={}
    obj_json["ID"] = iden
    obj_json["VAL_A"] = a
    obj_json["VAL_B"] = b

我得到一个错误，跟踪是:

  File "rtfav.py", line 3, in <module>
    data = json.load(infile)
  File "/usr/lib64/python2.7/json/__init__.py", line 278, in load
    **kw)
  File "/usr/lib64/python2.7/json/__init__.py", line 326, in loads
    return _default_decoder.decode(s)
  File "/usr/lib64/python2.7/json/decoder.py", line 369, in decode
    raise ValueError(errmsg("Extra data", s, end, len(s)))
ValueError: Extra data: line 88 column 2 - line 50607 column 2 (char 3077 - 1868399)

下面是new中的数据示例。Json，文件中还有大约1500个这样的字典

{
    "contributors": null, 
    "truncated": false, 
    "text": "@HomeShop18 #DreamJob to professional rafter", 
    "in_reply_to_status_id": null, 
    "id": 421584490452893696, 
    "favorite_count": 0, 
    "source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Mobile Web (M2)</a>", 
    "retweeted": false, 
    "coordinates": null, 
    "entities": {
        "symbols": [], 
        "user_mentions": [
            {
                "id": 183093247, 
                "indices": [
                    0, 
                    11
                ], 
                "id_str": "183093247", 
                "screen_name": "HomeShop18", 
                "name": "HomeShop18"
            }
        ], 
        "hashtags": [
            {
                "indices": [
                    12, 
                    21
                ], 
                "text": "DreamJob"
            }
        ], 
        "urls": []
    }, 
    "in_reply_to_screen_name": "HomeShop18", 
    "id_str": "421584490452893696", 
    "retweet_count": 0, 
    "in_reply_to_user_id": 183093247, 
    "favorited": false, 
    "user": {
        "follow_request_sent": null, 
        "profile_use_background_image": true, 
        "default_profile_image": false, 
        "id": 2254546045, 
        "verified": false, 
        "profile_image_url_https": "https://pbs.twimg.com/profile_images/413952088880594944/rcdr59OY_normal.jpeg", 
        "profile_sidebar_fill_color": "171106", 
        "profile_text_color": "8A7302", 
        "followers_count": 87, 
        "profile_sidebar_border_color": "BCB302", 
        "id_str": "2254546045", 
        "profile_background_color": "0F0A02", 
        "listed_count": 1, 
        "profile_background_image_url_https": "https://abs.twimg.com/images/themes/theme1/bg.png", 
        "utc_offset": null, 
        "statuses_count": 9793, 
        "description": "Rafter. Rafting is what I do. Me aur mera Tablet.  Technocrat of Future", 
        "friends_count": 231, 
        "location": "", 
        "profile_link_color": "473623", 
        "profile_image_url": "http://pbs.twimg.com/profile_images/413952088880594944/rcdr59OY_normal.jpeg", 
        "following": null, 
        "geo_enabled": false, 
        "profile_banner_url": "https://pbs.twimg.com/profile_banners/2254546045/1388065343", 
        "profile_background_image_url": "http://abs.twimg.com/images/themes/theme1/bg.png", 
        "name": "Jayy", 
        "lang": "en", 
        "profile_background_tile": false, 
        "favourites_count": 41, 
        "screen_name": "JzayyPsingh", 
        "notifications": null, 
        "url": null, 
        "created_at": "Fri Dec 20 05:46:00 +0000 2013", 
        "contributors_enabled": false, 
        "time_zone": null, 
        "protected": false, 
        "default_profile": false, 
        "is_translator": false
    }, 
    "geo": null, 
    "in_reply_to_user_id_str": "183093247", 
    "lang": "en", 
    "created_at": "Fri Jan 10 10:09:09 +0000 2014", 
    "filter_level": "medium", 
    "in_reply_to_status_id_str": null, 
    "place": null
}

当前回答

如果您的数据来自您无法控制的源，请使用此方法

def load_multi_json(line: str) -> [dict]:
    """
    Fix some files with multiple objects on one line
    """
    try:
        return [json.loads(line)]
    except JSONDecodeError as err:
        if err.msg == 'Extra data':
            head = [json.loads(line[0:err.pos])]
            tail = FrontFile.load_multi_json(line[err.pos:])
            return head + tail
        else:
            raise err
2022-07-13 02:13:07

其他回答

正如你在下面的例子中看到的，json。Loads(和json.load)不解码多个json对象。

>>> json.loads('{}')
{}
>>> json.loads('{}{}') # == json.loads(json.dumps({}) + json.dumps({}))
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\Python27\lib\json\__init__.py", line 338, in loads
    return _default_decoder.decode(s)
  File "C:\Python27\lib\json\decoder.py", line 368, in decode
    raise ValueError(errmsg("Extra data", s, end, len(s)))
ValueError: Extra data: line 1 column 3 - line 1 column 5 (char 2 - 4)

如果要转储多个字典，请将它们包装在一个列表中，转储列表(而不是多次转储字典)

>>> dict1 = {}
>>> dict2 = {}
>>> json.dumps([dict1, dict2])
'[{}, {}]'
>>> json.loads(json.dumps([dict1, dict2]))
[{}, {}]
2014-01-11 05:39:19

遍历文件，在循环中以JSON格式加载每一行:

tweets = []
for line in open('tweets.json', 'r'):
    tweets.append(json.loads(line))

这避免了存储中间的python对象。只要每次append()调用都写一个完整的tweet，这就可以工作。

2015-03-28 01:27:37

如果您的数据来自您无法控制的源，请使用此方法

def load_multi_json(line: str) -> [dict]:
    """
    Fix some files with multiple objects on one line
    """
    try:
        return [json.loads(line)]
    except JSONDecodeError as err:
        if err.msg == 'Extra data':
            head = [json.loads(line[0:err.pos])]
            tail = FrontFile.load_multi_json(line[err.pos:])
            return head + tail
        else:
            raise err
2022-07-13 02:13:07

我认为将字典保存在列表中并不是@falsetru提出的理想解决方案。

更好的方法是，遍历字典，并通过添加新行将它们保存到.json。

我们的两本词典是

d1 = {'a':1}

d2 = {'b':2}

你可以将它们写入.json

import json
with open('sample.json','a') as sample:
    for dict in [d1,d2]:
        sample.write('{}\n'.format(json.dumps(dict)))

你可以读取json文件没有任何问题

with open('sample.json','r') as sample:
    for line in sample:
        line = json.loads(line.strip())

简单高效

2019-03-08 15:06:33

我的json文件的格式完全是问题中的一个，但没有一个解决方案在这里工作。最后，我在另一个Stackoverflow线程上找到了一个变通办法。因为这篇文章是谷歌搜索的第一个链接，我把答案放在这里，这样以后来这篇文章的人会更容易找到它。

如上所述，有效的json文件需要在文件的开头“[”和在文件的末尾“]”。此外，每个json项后面必须有一个“}”，而不是“}”。所有括号不含引号!这段代码只是将格式错误的json文件修改为正确的格式。

https://stackoverflow.com/a/51919788/2772087

2020-08-15 12:00:41

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