python读写json文件
什么是 JSON 格式？
JSON (英文缩写： JavaScript Object Notation ) 是一种轻量级的数据交换格式。
它基于ECMAScript的一个子集。 JSON采用完全独立于语言的文本格式，但是也使用了类似于C语言家族的习惯
(包括C、C++、Java、JavaScript、Perl、Python等)。这些特性使JSON成为理想的数据交换语言。易于人
阅读和编写，同时也易于机器解析和生成(一般用于提升网络传输速率)。优缺点
-
优点
- 数据格式比较简单, 易于读写, 格式都是压缩的, 占用带宽小
- 易于解析这种语言, 客户端JavaScript可以简单的通过eval_r()进行JSON数据的读取
- 支持多种语言, 包括ActionScript, C, C#, ColdFusion, Java, JavaScript, Perl, PHP, Python, Ruby等语言服务器端语言, 便于服务器端的解析
- 在PHP世界, 已经有PHP-JSON和JSON-PHP出现了, 便于PHP序列化后的程序直接调用. PHP服务器端的对象、数组等能够直接生JSON格式, 便于客户端的访问提取.
- 因为JSON格式能够直接为服务器端代码使用, 大大简化了服务器端和客户端的代码开发量, 但是完成的任务不变, 且易于维护
- 缺点
- 没有XML格式这么推广的深入人心和使用广泛, 没有XML那么通用性
- JSON格式目前在Web Service中推广还属于初级阶段
python读取json格式文件
- 导入 json
import json- json 方法
- 序列化和反序列化
- 序列化encoding : 把一个Python对象转化成json字符串
- 反序列化decoding: 把json字符串转化成python
- 常用的方法：
- json.dumps():将一个Python数据类型转换为json数据类型
- json.loads()：将json数据类型转换为python数据类型
- json.dump()：将数据以json的数据类型写入文件中
- json.load() ： 以json数据类型的方式读取文件
- 例子
- json.dump() 以json数据类型来存储这组数据
import json user_info = [ { "name": 'hf', "age": 20, "gender": '男' }, { "name": "lmx", "age": 20, "gender": "女" } ] with open("student_info.json", 'w') as f_obj: json.dump(user_info, f_obj, indent=4, sort_keys=True, ensure_ascii=False) - json.load() 以json数据来加载存储数据
import json with open('student_info.json') as f_obj: username = json.load(f_obj) print(username) - json.jumps()将python数据类型转换为json数据类型
hero_info = { 'name': 'super man', 'age': 100 } with open('student_info.json', "a", encoding="utf-8") as f: f.write(json.dumps(list(user_info), ensure_ascii=False, indent=4)) f.write("\n") - json.loads() 将json数据转换为python数据类型
json_str = '[{"name": "hf", "age": "19"},{"name": "lmx", "age": "18"}]' user_list = json.loads(json_str) print(type(user_list)) # 输出
- -help message
FUNCTIONS
dump(obj, fp, *, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, cls=None, indent=None, separators=None, default=None, sort_keys=False, **kw)
Serialize ``obj`` as a JSON formatted stream to ``fp`` (a
``.write()``-supporting file-like object).
If ``skipkeys`` is true then ``dict`` keys that are not basic types
(``str``, ``int``, ``float``, ``bool``, ``None``) will be skipped
instead of raising a ``TypeError``.
If ``ensure_ascii`` is false, then the strings written to ``fp`` can
contain non-ASCII characters if they appear in strings contained in
``obj``. Otherwise, all such characters are escaped in JSON strings.
If ``check_circular`` is false, then the circular reference check
for container types will be skipped and a circular reference will
result in an ``OverflowError`` (or worse).
If ``allow_nan`` is false, then it will be a ``ValueError`` to
serialize out of range ``float`` values (``nan``, ``inf``, ``-inf``)
in strict compliance of the JSON specification, instead of using the
JavaScript equivalents (``NaN``, ``Infinity``, ``-Infinity``).
If ``indent`` is a non-negative integer, then JSON array elements and
object members will be pretty-printed with that indent level. An indent
level of 0 will only insert newlines. ``None`` is the most compact
representation.
If specified, ``separators`` should be an ``(item_separator, key_separator)``
tuple. The default is ``(', ', ': ')`` if *indent* is ``None`` and
``(',', ': ')`` otherwise. To get the most compact JSON representation,
you should specify ``(',', ':')`` to eliminate whitespace.
``default(obj)`` is a function that should return a serializable version
of obj or raise TypeError. The default simply raises TypeError.
If *sort_keys* is true (default: ``False``), then the output of
dictionaries will be sorted by key.
To use a custom ``JSONEncoder`` subclass (e.g. one that overrides the
``.default()`` method to serialize additional types), specify it with
the ``cls`` kwarg; otherwise ``JSONEncoder`` is used.
dumps(obj, *, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, cls=None, indent=None, separators=None, default=None, sort_keys=False, **kw)
Serialize ``obj`` to a JSON formatted ``str``.
If ``skipkeys`` is true then ``dict`` keys that are not basic types
(``str``, ``int``, ``float``, ``bool``, ``None``) will be skipped
instead of raising a ``TypeError``.
If ``ensure_ascii`` is false, then the return value can contain non-ASCII
characters if they appear in strings contained in ``obj``. Otherwise, all
such characters are escaped in JSON strings.
If ``check_circular`` is false, then the circular reference check
for container types will be skipped and a circular reference will
result in an ``OverflowError`` (or worse).
If ``allow_nan`` is false, then it will be a ``ValueError`` to
serialize out of range ``float`` values (``nan``, ``inf``, ``-inf``) in
strict compliance of the JSON specification, instead of using the
JavaScript equivalents (``NaN``, ``Infinity``, ``-Infinity``).
If ``indent`` is a non-negative integer, then JSON array elements and
object members will be pretty-printed with that indent level. An indent
level of 0 will only insert newlines. ``None`` is the most compact
representation.
If specified, ``separators`` should be an ``(item_separator, key_separator)``
tuple. The default is ``(', ', ': ')`` if *indent* is ``None`` and
``(',', ': ')`` otherwise. To get the most compact JSON representation,
you should specify ``(',', ':')`` to eliminate whitespace.
``default(obj)`` is a function that should return a serializable version
of obj or raise TypeError. The default simply raises TypeError.
If *sort_keys* is true (default: ``False``), then the output of
dictionaries will be sorted by key.
To use a custom ``JSONEncoder`` subclass (e.g. one that overrides the
``.default()`` method to serialize additional types), specify it with
the ``cls`` kwarg; otherwise ``JSONEncoder`` is used.
load(fp, *, cls=None, object_hook=None, parse_float=None, parse_int=None, parse_constant=None, object_pairs_hook=None, **kw)
Deserialize ``fp`` (a ``.read()``-supporting file-like object containing
a JSON document) to a Python object.
``object_hook`` is an optional function that will be called with the
result of any object literal decode (a ``dict``). The return value of
``object_hook`` will be used instead of the ``dict``. This feature
can be used to implement custom decoders (e.g. JSON-RPC class hinting).
``object_pairs_hook`` is an optional function that will be called with the
result of any object literal decoded with an ordered list of pairs. The
return value of ``object_pairs_hook`` will be used instead of the ``dict``.
This feature can be used to implement custom decoders that rely on the
order that the key and value pairs are decoded (for example,
collections.OrderedDict will remember the order of insertion). If
``object_hook`` is also defined, the ``object_pairs_hook`` takes priority.
To use a custom ``JSONDecoder`` subclass, specify it with the ``cls``
kwarg; otherwise ``JSONDecoder`` is used.
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.
``object_hook`` is an optional function that will be called with the
result of any object literal decode (a ``dict``). The return value of
``object_hook`` will be used instead of the ``dict``. This feature
can be used to implement custom decoders (e.g. JSON-RPC class hinting).
``object_pairs_hook`` is an optional function that will be called with the
result of any object literal decoded with an ordered list of pairs. The
return value of ``object_pairs_hook`` will be used instead of the ``dict``.
This feature can be used to implement custom decoders that rely on the
order that the key and value pairs are decoded (for example,
collections.OrderedDict will remember the order of insertion). If
``object_hook`` is also defined, the ``object_pairs_hook`` takes priority.
``parse_float``, if specified, will be called with the string
of every JSON float to be decoded. By default this is equivalent to
float(num_str). This can be used to use another datatype or parser
for JSON floats (e.g. decimal.Decimal).
``parse_int``, if specified, will be called with the string
of every JSON int to be decoded. By default this is equivalent to
int(num_str). This can be used to use another datatype or parser
for JSON integers (e.g. float).
``parse_constant``, if specified, will be called with one of the
following strings: -Infinity, Infinity, NaN.
This can be used to raise an exception if invalid JSON numbers
are encountered.
To use a custom ``JSONDecoder`` subclass, specify it with the ``cls``
kwarg; otherwise ``JSONDecoder`` is used.
The ``encoding`` argument is ignored and deprecated.