簡介
JSON(JavaScript Object Notation)是一種輕量級的數據交換格式。它是基於 ECMAScript(歐洲計算機協會制定的 js 規範)的一個子集，採用完全獨立於編程語言的文本格式來存儲和表示數據。json 主要的優點有：
- 層次結構簡潔清晰
- 易於閱讀和編寫
- 易於機器解析和生成
- 網絡傳輸效率高
JSON 數據格式
- 對象：以‘{’開始，以‘}’結束，和 python 中的字典類似
- 數組：以‘[’開始，以‘]’結束，和 python 中的列表類似
- 整型、浮點型、布爾類型和 NULL
- 字符串類型：以‘“’開始，以‘”’結束
多個數據之間使用逗號分隔。
從 python 到 JSON
import json
students = [
{'name':'zhangsan','num':'100'},
{'name':'lisi','num':'101'}
]
print(students)
stu_json = json.dumps(students)
print(type(stu_json))
print(stu_json)
結果爲：
[{'name': 'zhangsan', 'num': '100'}, {'name': 'lisi', 'num': '101'}]
<class 'str'>
[{"name": "zhangsan", "num": "100"}, {"name": "lisi", "num": "101"}]
使用 dumps 進行的數據轉換返回的結果爲 str 類型，同時可以看到 python 中的單引號被轉換爲了雙引號。
dumps
def 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.
"""
# cached encoder
if (not skipkeys and ensure_ascii and
check_circular and allow_nan and
cls is None and indent is None and separators is None and
default is None and not sort_keys and not kw):
return _default_encoder.encode(obj)
if cls is None:
cls = JSONEncoder
return cls(
skipkeys=skipkeys, ensure_ascii=ensure_ascii,
check_circular=check_circular, allow_nan=allow_nan, indent=indent,
separators=separators, default=default, sort_keys=sort_keys,
**kw).encode(obj)
將 json 數據寫入文件
使用 dumps 可以將原始數據轉換爲 json 格式的 str，而使用 dumps 則可以將轉換後的 json 數據寫入到文件中。
import json
students = [
{'name':'zhangsan','num':'100'},
{'name':'lisi','num':'101'}
]
with open('js.json','w') as fp:
json.dump(students,fp)
fp.close()
這樣就將轉換後的 json 數據寫入了 js.json 文件。
dump
def 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.
"""
# cached encoder
if (not skipkeys and ensure_ascii and
check_circular and allow_nan and
cls is None and indent is None and separators is None and
default is None and not sort_keys and not kw):
iterable = _default_encoder.iterencode(obj)
else:
if cls is None:
cls = JSONEncoder
iterable = cls(skipkeys=skipkeys, ensure_ascii=ensure_ascii,
check_circular=check_circular, allow_nan=allow_nan, indent=indent,
separators=separators,
default=default, sort_keys=sort_keys, **kw).iterencode(obj)
# could accelerate with writelines in some versions of Python, at
# a debuggability cost
for chunk in iterable:
fp.write(chunk)
從 JSON 到 python
將 json 字符串轉換爲 python 對象
import json
json_data = """
[
{"name": "zhangsan", "num": "100"},
{"name": "lisi", "num": "101"}
]
"""
data = json.loads(json_data,encoding='utf-8')
print(type(data))
print(data)
結果爲：
<class 'list'>
[{'name': 'zhangsan', 'num': '100'}, {'name': 'lisi', 'num': '101'}]
可知，上邊的代碼段使用 loads 將字符串轉換爲了 python 中的 list。可以看出 JSON 的實質是字符串。
loads
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.
``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.
"""
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('the JSON object must be str, bytes or bytearray, '
'not {!r}'.format(s.__class__.__name__))
s = s.decode(detect_encoding(s), 'surrogatepass')
if (cls is None and object_hook is None and
parse_int is None and parse_float is None and
parse_constant is None and object_pairs_hook is None and not kw):
return _default_decoder.decode(s)
if cls is None:
cls = JSONDecoder
if object_hook is not None:
kw['object_hook'] = object_hook
if object_pairs_hook is not None:
kw['object_pairs_hook'] = object_pairs_hook
if parse_float is not None:
kw['parse_float'] = parse_float
if parse_int is not None:
kw['parse_int'] = parse_int
if parse_constant is not None:
kw['parse_constant'] = parse_constant
return cls(**kw).decode(s)
從文件中讀取 json
之前使用 loads 將 json 字符串轉換爲了 python 對象，而同樣使用 load 則可以從文件中讀取 json。
import json
with open('js.json','r',encoding='utf-8') as fp:
json_data = json.load(fp)
print(type(json_data))
print(json_data)
fp.close()
結果爲：
<class 'list'>
[{'name': 'zhangsan', 'num': '100'}, {'name': 'lisi', 'num': '101'}]
load
def 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.
"""
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)