I am new to JSON. I am doing a project for Vehicle Number Plate Detection.
I have a dataset of the form:

我是JSON的新手。我正在做一个车牌检测的项目。我有一个表格的数据集：

{"content": "http://com.dataturks.a96-i23.open.s3.amazonaws.com/2c9fafb0646e9cf9016473f1a561002a/77d1f81a-bee6-487c-aff2-0efa31a9925c____bd7f7862-d727-11e7-ad30-e18a56154311.jpg.jpeg","annotation":[{"label":["number_plate"],"notes":"","points":[{"x":0.7220843672456576,"y":0.5879828326180258},{"x":0.8684863523573201,"y":0.6888412017167382}],"imageWidth":806,"imageHeight":466}],"extras":null},
{"content": "http://com.dataturks.a96-i23.open.s3.amazonaws.com/2c9fafb0646e9cf9016473f1a561002a/4eb236a3-6547-4103-b46f-3756d21128a9___06-Sanjay-Dutt.jpg.jpeg","annotation":[{"label":["number_plate"],"notes":"","points":[{"x":0.16194331983805668,"y":0.8507795100222717},{"x":0.582995951417004,"y":1}],"imageWidth":494,"imageHeight":449}],"extras":null},

There are in total 240 blocks of data.
I want to do two things with the above dataset.
Firstly,I need to download all the images from each block and secondly,need to get the values of "points" column to a text file.

总共有240个数据块。我想用上面的数据集做两件事。首先，我需要从每个块下载所有的图像，其次，需要获得“Points”列的值到一个文本文件。

I am getting problem while getting the values for the columns.

我在获取列的值时遇到了问题。

import json
jsonFile = open('Indian_Number_plates.json', 'r')
x = json.load(jsonFile)
for criteria in x['annotation']:
    for key, value in criteria.iteritems():
        print(key, 'is:', value)
    print('')

I have written the above code to get all the values under the "annotation".
But,getting the following error

我已经编写了上面的代码来获取“注解”下的所有值。但是，得到以下错误

Traceback (most recent call last):
  File "prac.py", line 13, in <module>
    x = json.load(jsonFile)
  File "C:\python364\Lib\json\__init__.py", line 299, in load
    parse_constant=parse_constant, object_pairs_hook=object_pairs_hook, **kw)
  File "C:\python364\Lib\json\__init__.py", line 354, in loads
    return _default_decoder.decode(s)
  File "C:\python364\Lib\json\decoder.py", line 342, in decode
    raise JSONDecodeError("Extra data", s, end)
json.decoder.JSONDecodeError: Extra data: line 1 column 394 (char 393)

Please help me for getting the values for "points" column and also for downloading the images from the link in the "content" section.

请帮助我获得“积分”栏的值，并从“内容”部分的链接下载图像。

i found this answer while searching. Essentially, you can read an object, catch the exception when JSON sees an unexpected object, and then seek/reparse and build a list of objects.

我在搜索的过程中找到了这个答案。从本质上讲，您可以读取对象，在JSON看到意外对象时捕获异常，然后查找/重新解析并构建对象列表。

in Java, i'd just tell you to use Jackson and their SAX style streaming interface, as i've done that to read a list of objects formatted like this - if JSON in python has a streaming api, i'd use that instead of the exception handler workaround

在Java中，我只会告诉您使用Jackson和他们的SAX样式的流接口，因为我已经这样做了，以读取如下格式的对象列表--如果Python中的JSON有流API，我会使用它而不是异常处理解决方法

the error comes because your file contains two records or more :

出现错误是因为您的文件包含两条或更多记录：

{"content": "http://com.dataturks.a96- } ..... {"content": .....

to solve this you should reformat your json so that all the records are contained in an array :

要解决这个问题，您应该重新格式化您的json，以便所有记录都包含在一个数组中：

{ "data" :  [ {"content": "http://com.dataturks.a96- .... },{"content":... }]}

to download the images, extract the image names and urls and use requests :

要下载图像，请提取图像名称和URL并使用请求：

import requests

with open(image_name, 'wb') as handle:
        response = requests.get(pic_url, stream=True)

        if not response.ok:
            print response

        for block in response.iter_content(1024):
            if not block:
                break

            handle.write(block)

Use this piece of code to read the JSON file with lines=True flag and then delete the extra:

使用这段代码读取带有Line=True标志的JSON文件，然后删除多余的：

df = pd.read_json(local_path,lines=True)
pd.set_option('display.max_colwidth', -1)
# delete the extras column
del df['extras']
# check the data dataframe
df.head()