json.load()和json.loads()函数有什么区别

问题:json.load()和json.loads()函数有什么区别

在Python中,json.load()和之间有什么区别json.loads()

我猜想load()函数必须与文件对象一起使用(因此,我需要使用上下文管理器),而load()函数将文件路径作为字符串。这有点令人困惑。

字母“ sjson.loads()代表字符串吗?

非常感谢你的回答!

In Python, what is the difference between json.load() and json.loads()?

I guess that the load() function must be used with a file object (I need thus to use a context manager) while the loads() function take the path to the file as a string. It is a bit confusing.

Does the letter “s” in json.loads() stand for string?

Thanks a lot for your answers!


回答 0

是的,s代表字符串。该json.loads函数不采用文件路径,而是将文件内容作为字符串。查看位于https://docs.python.org/2/library/json.html的文档!

Yes, s stands for string. The json.loads function does not take the file path, but the file contents as a string. Look at the documentation at https://docs.python.org/2/library/json.html!


回答 1

只是在每个人的解释中添加一个简单的例子,

json.load()

json.load可以反序列化文件本身,即它接受一个file对象,例如,

# open a json file for reading and print content using json.load
with open("/xyz/json_data.json", "r") as content:
  print(json.load(content))

将输出

{u'event': {u'id': u'5206c7e2-da67-42da-9341-6ea403c632c7', u'name': u'Sufiyan Ghori'}}

如果我改用json.loads打开文件,

# you cannot use json.loads on file object
with open("json_data.json", "r") as content:
  print(json.loads(content))

我会收到此错误:

TypeError:预期的字符串或缓冲区

json.loads()

json.loads() 反串化字符串。

因此,要使用json.loads该文件read(),我将不得不使用函数传递文件的内容,例如,

content.read()json.loads()文件的返回内容一起使用,

with open("json_data.json", "r") as content:
  print(json.loads(content.read()))

输出,

{u'event': {u'id': u'5206c7e2-da67-42da-9341-6ea403c632c7', u'name': u'Sufiyan Ghori'}}

那是因为类型content.read()是字符串,即<type 'str'>

如果json.load()与配合使用content.read(),则会出现错误,

with open("json_data.json", "r") as content:
  print(json.load(content.read()))

给,

AttributeError:’str’对象没有属性’read’

因此,现在您知道json.load反序列化文件并json.loads反序列化一个字符串。

另一个例子,

sys.stdin返回file对象,所以如果我这样做print(json.load(sys.stdin)),我将获得实际的json数据,

cat json_data.json | ./test.py

{u'event': {u'id': u'5206c7e2-da67-42da-9341-6ea403c632c7', u'name': u'Sufiyan Ghori'}}

如果要使用json.loads(),我会print(json.loads(sys.stdin.read()))改为使用。

Just going to add a simple example to what everyone has explained,

json.load()

json.load can deserialize a file itself i.e. it accepts a file object, for example,

# open a json file for reading and print content using json.load
with open("/xyz/json_data.json", "r") as content:
  print(json.load(content))

will output,

{u'event': {u'id': u'5206c7e2-da67-42da-9341-6ea403c632c7', u'name': u'Sufiyan Ghori'}}

If I use json.loads to open a file instead,

# you cannot use json.loads on file object
with open("json_data.json", "r") as content:
  print(json.loads(content))

I would get this error:

TypeError: expected string or buffer

json.loads()

json.loads() deserialize string.

So in order to use json.loads I will have to pass the content of the file using read() function, for example,

using content.read() with json.loads() return content of the file,

with open("json_data.json", "r") as content:
  print(json.loads(content.read()))

Output,

{u'event': {u'id': u'5206c7e2-da67-42da-9341-6ea403c632c7', u'name': u'Sufiyan Ghori'}}

That’s because type of content.read() is string, i.e. <type 'str'>

If I use json.load() with content.read(), I will get error,

with open("json_data.json", "r") as content:
  print(json.load(content.read()))

Gives,

AttributeError: ‘str’ object has no attribute ‘read’

So, now you know json.load deserialze file and json.loads deserialize a string.

Another example,

sys.stdin return file object, so if i do print(json.load(sys.stdin)), I will get actual json data,

cat json_data.json | ./test.py

{u'event': {u'id': u'5206c7e2-da67-42da-9341-6ea403c632c7', u'name': u'Sufiyan Ghori'}}

If I want to use json.loads(), I would do print(json.loads(sys.stdin.read())) instead.


回答 2

文档非常清晰:https//docs.python.org/2/library/json.html

json.load(fp[, encoding[, cls[, object_hook[, parse_float[, parse_int[, parse_constant[, object_pairs_hook[, **kw]]]]]]]])

使用此转换表将fp(支持.read()的包含JSON文档的类似文件的对象)反序列化为Python对象。

json.loads(s[, encoding[, cls[, object_hook[, parse_float[, parse_int[, parse_constant[, object_pairs_hook[, **kw]]]]]]]])

使用此转换表将s(包含JSON文档的str或unicode实例)反序列化为Python对象。

所以load是一个文件,loads一个string

Documentation is quite clear: https://docs.python.org/2/library/json.html

json.load(fp[, encoding[, cls[, object_hook[, parse_float[, parse_int[, parse_constant[, object_pairs_hook[, **kw]]]]]]]])

Deserialize fp (a .read()-supporting file-like object containing a JSON document) to a Python object using this conversion table.

json.loads(s[, encoding[, cls[, object_hook[, parse_float[, parse_int[, parse_constant[, object_pairs_hook[, **kw]]]]]]]])

Deserialize s (a str or unicode instance containing a JSON document) to a Python object using this conversion table.

So load is for a file, loads for a string


回答 3

快速解答(非常简化!)

json.load()需要一个文件

json.load()需要一个文件(文件对象),例如,您在文件路径(如)给定之前打开的文件'files/example.json'


json.loads()需要一个STRING

json.loads()需要一个(有效)JSON字符串-即 {"foo": "bar"}


例子

假设您有一个文件example.json,其内容如下:{“ key_1”:1,1,“ key_2”:“ foo”,“ Key_3”:null}

>>> import json
>>> file = open("example.json")

>>> type(file)
<class '_io.TextIOWrapper'>

>>> file
<_io.TextIOWrapper name='example.json' mode='r' encoding='UTF-8'>

>>> json.load(file)
{'key_1': 1, 'key_2': 'foo', 'Key_3': None}

>>> json.loads(file)
Traceback (most recent call last):
  File "/usr/local/python/Versions/3.7/lib/python3.7/json/__init__.py", line 341, in loads
TypeError: the JSON object must be str, bytes or bytearray, not TextIOWrapper


>>> string = '{"foo": "bar"}'

>>> type(string)
<class 'str'>

>>> string
'{"foo": "bar"}'

>>> json.loads(string)
{'foo': 'bar'}

>>> json.load(string)
Traceback (most recent call last):
  File "/usr/local/python/Versions/3.7/lib/python3.7/json/__init__.py", line 293, in load
    return loads(fp.read(),
AttributeError: 'str' object has no attribute 'read'

QUICK ANSWER (very simplified!)

json.load() takes a FILE

json.load() expects a file (file object) – e.g. a file you opened before given by filepath like 'files/example.json'.


json.loads() takes a STRING

json.loads() expects a (valid) JSON string – i.e. {"foo": "bar"}


EXAMPLES

Assuming you have a file example.json with this content: { “key_1”: 1, “key_2”: “foo”, “Key_3”: null }

>>> import json
>>> file = open("example.json")

>>> type(file)
<class '_io.TextIOWrapper'>

>>> file
<_io.TextIOWrapper name='example.json' mode='r' encoding='UTF-8'>

>>> json.load(file)
{'key_1': 1, 'key_2': 'foo', 'Key_3': None}

>>> json.loads(file)
Traceback (most recent call last):
  File "/usr/local/python/Versions/3.7/lib/python3.7/json/__init__.py", line 341, in loads
TypeError: the JSON object must be str, bytes or bytearray, not TextIOWrapper


>>> string = '{"foo": "bar"}'

>>> type(string)
<class 'str'>

>>> string
'{"foo": "bar"}'

>>> json.loads(string)
{'foo': 'bar'}

>>> json.load(string)
Traceback (most recent call last):
  File "/usr/local/python/Versions/3.7/lib/python3.7/json/__init__.py", line 293, in load
    return loads(fp.read(),
AttributeError: 'str' object has no attribute 'read'

回答 4

所述json.load()方法(无“S”中的“负荷”)可直接读取的文件:

import json
with open('strings.json') as f:
    d = json.load(f)
    print(d)

json.loads()方法,仅用于字符串参数。

import json

person = '{"name": "Bob", "languages": ["English", "Fench"]}'
print(type(person))
# Output : <type 'str'>

person_dict = json.loads(person)
print( person_dict)
# Output: {'name': 'Bob', 'languages': ['English', 'Fench']}

print(type(person_dict))
# Output : <type 'dict'>

在这里,我们可以看到在使用load()将字符串(type(str))作为输入并返回字典之后

The json.load() method (without “s” in “load”) can read a file directly:

import json
with open('strings.json') as f:
    d = json.load(f)
    print(d)

json.loads() method, which is used for string arguments only.

import json

person = '{"name": "Bob", "languages": ["English", "Fench"]}'
print(type(person))
# Output : <type 'str'>

person_dict = json.loads(person)
print( person_dict)
# Output: {'name': 'Bob', 'languages': ['English', 'Fench']}

print(type(person_dict))
# Output : <type 'dict'>

Here , we can see after using loads() takes a string ( type(str) ) as a input and return dictionary.


回答 5

在python3.7.7中,根据cpython源代码,json.load的定义如下:

def load(fp, *, cls=None, object_hook=None, parse_float=None,
        parse_int=None, parse_constant=None, object_pairs_hook=None, **kw):

    return loads(fp.read(),
        cls=cls, object_hook=object_hook,
        parse_float=parse_float, parse_int=parse_int,
        parse_constant=parse_constant, object_pairs_hook=object_pairs_hook, **kw)

json.load实际上调用json.loads并fp.read()用作第一个参数。

因此,如果您的代码是:

with open (file) as fp:
    s = fp.read()
    json.loads(s)

这样做是一样的:

with open (file) as fp:
    json.load(fp)

但是,如果您需要指定从文件中读取的字节,例如,fp.read(10)或者您要反序列化的字符串/字节不是从文件中读取,则应使用json.loads()

至于json.loads(),它不仅反序列化字符串,而且还反序列化字节。如果s为bytes或bytearray,则将其首先解码为字符串。您也可以在源代码中找到它。

def loads(s, *, encoding=None, cls=None, object_hook=None, parse_float=None,
        parse_int=None, parse_constant=None, object_pairs_hook=None, **kw):
    """Deserialize ``s`` (a ``str``, ``bytes`` or ``bytearray`` instance
    containing a JSON document) to a Python object.

    ...

    """
    if isinstance(s, str):
        if s.startswith('\ufeff'):
            raise JSONDecodeError("Unexpected UTF-8 BOM (decode using utf-8-sig)",
                                  s, 0)
    else:
        if not isinstance(s, (bytes, bytearray)):
            raise TypeError(f'the JSON object must be str, bytes or bytearray, '
                            f'not {s.__class__.__name__}')
        s = s.decode(detect_encoding(s), 'surrogatepass')

In python3.7.7, the definition of json.load is as below according to cpython source code:

def load(fp, *, cls=None, object_hook=None, parse_float=None,
        parse_int=None, parse_constant=None, object_pairs_hook=None, **kw):

    return loads(fp.read(),
        cls=cls, object_hook=object_hook,
        parse_float=parse_float, parse_int=parse_int,
        parse_constant=parse_constant, object_pairs_hook=object_pairs_hook, **kw)

json.load actually calls json.loads and use fp.read() as the first argument.

So if your code is:

with open (file) as fp:
    s = fp.read()
    json.loads(s)

It’s the same to do this:

with open (file) as fp:
    json.load(fp)

But if you need to specify the bytes reading from the file as like fp.read(10) or the string/bytes you want to deserialize is not from file, you should use json.loads()

As for json.loads(), it not only deserialize string but also bytes. If s is bytes or bytearray, it will be decoded to string first. You can also find it in the source code.

def loads(s, *, encoding=None, cls=None, object_hook=None, parse_float=None,
        parse_int=None, parse_constant=None, object_pairs_hook=None, **kw):
    """Deserialize ``s`` (a ``str``, ``bytes`` or ``bytearray`` instance
    containing a JSON document) to a Python object.

    ...

    """
    if isinstance(s, str):
        if s.startswith('\ufeff'):
            raise JSONDecodeError("Unexpected UTF-8 BOM (decode using utf-8-sig)",
                                  s, 0)
    else:
        if not isinstance(s, (bytes, bytearray)):
            raise TypeError(f'the JSON object must be str, bytes or bytearray, '
                            f'not {s.__class__.__name__}')
        s = s.decode(detect_encoding(s), 'surrogatepass')