Python json.loads显示ValueError:额外数据

问题:Python json.loads显示ValueError:额外数据

我正在从JSON文件“ new.json”中获取一些数据,我想过滤一些数据并将其存储到新的JSON文件中。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

我收到一个错误,回溯是:

  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)

有人能帮我吗?

这是new.json中数据的示例,文件中还有约1500种这样的词典

{
    "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
} 

I am getting some data from a JSON file “new.json”, and I want to filter some data and store it into a new JSON file. Here is my code:

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

and I am getting an error, the traceback is:

  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)

Can someone help me?

Here is a sample of the data in new.json, there are about 1500 more such dictionaries in the file

{
    "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
} 

回答 0

如以下示例所示,json.loads(和json.load)不会解码多个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,请将它们包装在列表中,然后转储列表(而不是多次转储字典)

>>> dict1 = {}
>>> dict2 = {}
>>> json.dumps([dict1, dict2])
'[{}, {}]'
>>> json.loads(json.dumps([dict1, dict2]))
[{}, {}]

As you can see in the following example, json.loads (and json.load) does not decode multiple json object.

>>> 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)

If you want to dump multiple dictionaries, wrap them in a list, dump the list (instead of dumping dictionaries multiple times)

>>> dict1 = {}
>>> dict2 = {}
>>> json.dumps([dict1, dict2])
'[{}, {}]'
>>> json.loads(json.dumps([dict1, dict2]))
[{}, {}]

回答 1

您可以从文件中jsonifying逐行读取:

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

这样可以避免存储中间的python对象。只要您在每次append()通话中写一条完整的推文,它就可以工作。

You can just read from a file, jsonifying each line as you go:

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

This avoids storing intermediate python objects. As long as your write one full tweet per append() call, this should work.


回答 2

我碰到这个是因为我试图加载从MongoDB转储的JSON文件。这给我一个错误

JSONDecodeError: Extra data: line 2 column 1

MongoDB JSON转储每行有一个对象,因此对我有用的是:

import json
data = [json.loads(line) for line in open('data.json', 'r')]

I came across this because I was trying to load a JSON file dumped from MongoDB. It was giving me an error

JSONDecodeError: Extra data: line 2 column 1

The MongoDB JSON dump has one object per line, so what worked for me is:

import json
data = [json.loads(line) for line in open('data.json', 'r')]

回答 3

如果您的JSON文件不只是1个JSON记录,也会发生这种情况。JSON记录如下所示:

[{"some data": value, "next key": "another value"}]

它用方括号[]打开和关闭,方括号内是括号{}。可以有许多对括号,但它们的结尾都带有一个括号[]。如果您的json文件包含多个以下文件之一:

[{"some data": value, "next key": "another value"}]
[{"2nd record data": value, "2nd record key": "another value"}]

然后load()将失败。

我用自己的失败文件验证了这一点。

import json

guestFile = open("1_guests.json",'r')
guestData = guestFile.read()
guestFile.close()
gdfJson = json.loads(guestData)

之所以有效,是因为1_guests.json有一条记录[]。我正在使用all_guests.json的原始文件有6条记录,以换行符分隔。我删除了5条记录(我已经检查了它们是否包含在方括号中)并以新名称保存了该文件。然后,loads语句起作用了。

错误原为

   raise ValueError(errmsg("Extra data", s, end, len(s)))
ValueError: Extra data: line 2 column 1 - line 10 column 1 (char 261900 - 6964758)

PS。我使用记录一词,但这不是官方名称。另外,如果您的文件包含像我这样的换行符,则可以遍历整个文件,一次将一条记录加载到json变量中。

This may also happen if your JSON file is not just 1 JSON record. A JSON record looks like this:

[{"some data": value, "next key": "another value"}]

It opens and closes with a bracket [ ], within the brackets are the braces { }. There can be many pairs of braces, but it all ends with a close bracket ]. If your json file contains more than one of those:

[{"some data": value, "next key": "another value"}]
[{"2nd record data": value, "2nd record key": "another value"}]

then loads() will fail.

I verified this with my own file that was failing.

import json

guestFile = open("1_guests.json",'r')
guestData = guestFile.read()
guestFile.close()
gdfJson = json.loads(guestData)

This works because 1_guests.json has one record []. The original file I was using all_guests.json had 6 records separated by newline. I deleted 5 records, (which I already checked to be bookended by brackets) and saved the file under a new name. Then the loads statement worked.

Error was

   raise ValueError(errmsg("Extra data", s, end, len(s)))
ValueError: Extra data: line 2 column 1 - line 10 column 1 (char 261900 - 6964758)

PS. I use the word record, but that’s not the official name. Also, if your file has newline characters like mine, you can loop through it to loads() one record at a time into a json variable.


回答 4

好吧,这可能会对某人有所帮助。我的json文件像这样时我只是遇到了相同的错误

{"id":"1101010","city_id":"1101","name":"TEUPAH SELATAN"}
{"id":"1101020","city_id":"1101","name":"SIMEULUE TIMUR"}

我发现它的格式不正确,所以我将其更改为

{
  "datas":[
    {"id":"1101010","city_id":"1101","name":"TEUPAH SELATAN"},
    {"id":"1101020","city_id":"1101","name":"SIMEULUE TIMUR"}
  ]
}

Well , it might help someone. i just got the same error while my json file is like this

{"id":"1101010","city_id":"1101","name":"TEUPAH SELATAN"}
{"id":"1101020","city_id":"1101","name":"SIMEULUE TIMUR"}

and i found it malformed, so i changed it into somekind of

{
  "datas":[
    {"id":"1101010","city_id":"1101","name":"TEUPAH SELATAN"},
    {"id":"1101020","city_id":"1101","name":"SIMEULUE TIMUR"}
  ]
}

回答 5

一线解决您的问题:

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

One-liner for your problem:

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

回答 6

如果您想用两种方法解决它,可以这样做:

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

If you want to solve it in a two-liner you can do it like this:

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

回答 7

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其保存到.json。

我们的2本字典是

d1 = {'a':1}

d2 = {'b':2}

您可以将它们写入.json

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

而且您可以读取json文件而没有任何问题

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

简单高效

I think saving dicts in a list is not an ideal solution here proposed by @falsetru.

Better way is, iterating through dicts and saving them to .json by adding a new line.

our 2 dictionaries are

d1 = {'a':1}

d2 = {'b':2}

you can write them to .json

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

and you can read json file without any issues

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

simple and efficient