json
— JSON encoder and decoder¶
Source code: Lib/json/__init__.py
JSON (JavaScript Object Notation), specified by RFC 7159 (which obsoletes RFC 4627) and by ECMA-404, is a lightweight data interchange format inspired by JavaScript object literal syntax (although it is not a strict subset of JavaScript [1] ).
Ostrzeżenie
Be cautious when parsing JSON data from untrusted sources. A malicious JSON string may cause the decoder to consume considerable CPU and memory resources. Limiting the size of data to be parsed is recommended.
json
exposes an API familiar to users of the standard library
marshal
and pickle
modules.
Encoding basic Python object hierarchies:
>>> import json
>>> json.dumps(['foo', {'bar': ('baz', None, 1.0, 2)}])
'["foo", {"bar": ["baz", null, 1.0, 2]}]'
>>> print(json.dumps("\"foo\bar"))
"\"foo\bar"
>>> print(json.dumps('\u1234'))
"\u1234"
>>> print(json.dumps('\\'))
"\\"
>>> print(json.dumps({"c": 0, "b": 0, "a": 0}, sort_keys=True))
{"a": 0, "b": 0, "c": 0}
>>> from io import StringIO
>>> io = StringIO()
>>> json.dump(['streaming API'], io)
>>> io.getvalue()
'["streaming API"]'
Compact encoding:
>>> import json
>>> json.dumps([1, 2, 3, {'4': 5, '6': 7}], separators=(',', ':'))
'[1,2,3,{"4":5,"6":7}]'
Pretty printing:
>>> import json
>>> print(json.dumps({'6': 7, '4': 5}, sort_keys=True, indent=4))
{
"4": 5,
"6": 7
}
Specializing JSON object encoding:
>>> import json
>>> def custom_json(obj):
... if isinstance(obj, complex):
... return {'__complex__': True, 'real': obj.real, 'imag': obj.imag}
... raise TypeError(f'Cannot serialize object of {type(obj)}')
...
>>> json.dumps(1 + 2j, default=custom_json)
'{"__complex__": true, "real": 1.0, "imag": 2.0}'
Decoding JSON:
>>> import json
>>> json.loads('["foo", {"bar":["baz", null, 1.0, 2]}]')
['foo', {'bar': ['baz', None, 1.0, 2]}]
>>> json.loads('"\\"foo\\bar"')
'"foo\x08ar'
>>> from io import StringIO
>>> io = StringIO('["streaming API"]')
>>> json.load(io)
['streaming API']
Specializing JSON object decoding:
>>> import json
>>> def as_complex(dct):
... if '__complex__' in dct:
... return complex(dct['real'], dct['imag'])
... return dct
...
>>> json.loads('{"__complex__": true, "real": 1, "imag": 2}',
... object_hook=as_complex)
(1+2j)
>>> import decimal
>>> json.loads('1.1', parse_float=decimal.Decimal)
Decimal('1.1')
Extending JSONEncoder
:
>>> import json
>>> class ComplexEncoder(json.JSONEncoder):
... def default(self, obj):
... if isinstance(obj, complex):
... return [obj.real, obj.imag]
... # Let the base class default method raise the TypeError
... return super().default(obj)
...
>>> json.dumps(2 + 1j, cls=ComplexEncoder)
'[2.0, 1.0]'
>>> ComplexEncoder().encode(2 + 1j)
'[2.0, 1.0]'
>>> list(ComplexEncoder().iterencode(2 + 1j))
['[2.0', ', 1.0', ']']
Using json.tool
from the shell to validate and pretty-print:
$ echo '{"json":"obj"}' | python -m json.tool
{
"json": "obj"
}
$ echo '{1.2:3.4}' | python -m json.tool
Expecting property name enclosed in double quotes: line 1 column 2 (char 1)
See Interfejs linii komend for detailed documentation.
Informacja
JSON is a subset of YAML 1.2. The JSON produced by this module’s default settings (in particular, the default separators value) is also a subset of YAML 1.0 and 1.1. This module can thus also be used as a YAML serializer.
Informacja
This module’s encoders and decoders preserve input and output order by default. Order is only lost if the underlying containers are unordered.
Basic Usage¶
- json.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) using this conversion table.If skipkeys is true (default:
False
), then dict keys that are not of a basic type (str
,int
,float
,bool
,None
) will be skipped instead of raising aTypeError
.The
json
module always producesstr
objects, notbytes
objects. Therefore,fp.write()
must supportstr
input.If ensure_ascii is true (the default), the output is guaranteed to have all incoming non-ASCII characters escaped. If ensure_ascii is false, these characters will be output as-is.
If check_circular is false (default:
True
), then the circular reference check for container types will be skipped and a circular reference will result in aRecursionError
(or worse).If allow_nan is false (default:
True
), then it will be aValueError
to serialize out of rangefloat
values (nan
,inf
,-inf
) in strict compliance of the JSON specification. If allow_nan is true, their JavaScript equivalents (NaN
,Infinity
,-Infinity
) will be used.If indent is a non-negative integer or string, then JSON array elements and object members will be pretty-printed with that indent level. An indent level of 0, negative, or
""
will only insert newlines.None
(the default) selects the most compact representation. Using a positive integer indent indents that many spaces per level. If indent is a string (such as"\t"
), that string is used to indent each level.Zmienione w wersji 3.2: Allow strings for indent in addition to integers.
If specified, separators should be an
(item_separator, key_separator)
tuple. The default is(', ', ': ')
if indent isNone
and(',', ': ')
otherwise. To get the most compact JSON representation, you should specify(',', ':')
to eliminate whitespace.Zmienione w wersji 3.4: Use
(',', ': ')
as default if indent is notNone
.If specified, default should be a function that gets called for objects that can’t otherwise be serialized. It should return a JSON encodable version of the object or raise a
TypeError
. If not specified,TypeError
is raised.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 thedefault()
method to serialize additional types), specify it with the cls kwarg; otherwiseJSONEncoder
is used.Zmienione w wersji 3.6: All optional parameters are now keyword-only.
- json.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
using this conversion table. The arguments have the same meaning as indump()
.Informacja
Keys in key/value pairs of JSON are always of the type
str
. When a dictionary is converted into JSON, all the keys of the dictionary are coerced to strings. As a result of this, if a dictionary is converted into JSON and then back into a dictionary, the dictionary may not equal the original one. That is,loads(dumps(x)) != x
if x has non-string keys.
- json.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 text file or binary file containing a JSON document) to a Python object using this conversion table.object_hook is an optional function that will be called with the result of any object literal decoded (a
dict
). The return value of object_hook will be used instead of thedict
. 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. If object_hook is also defined, the object_pairs_hook takes priority.Zmienione w wersji 3.1: Added support for object_pairs_hook.
parse_float is an optional function that 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 is an optional function that 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
).Zmienione w wersji 3.11: The default parse_int of
int()
now limits the maximum length of the integer string via the interpreter’s integer string conversion length limitation to help avoid denial of service attacks.parse_constant is an optional function that 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.Zmienione w wersji 3.1: parse_constant doesn’t get called on «null», «true», «false» anymore.
To use a custom
JSONDecoder
subclass, specify it with thecls
kwarg; otherwiseJSONDecoder
is used. Additional keyword arguments will be passed to the constructor of the class.If the data being deserialized is not a valid JSON document, a
JSONDecodeError
will be raised.Zmienione w wersji 3.6: All optional parameters are now keyword-only.
Zmienione w wersji 3.6: fp can now be a binary file. The input encoding should be UTF-8, UTF-16 or UTF-32.
- json.loads(s, *, cls=None, object_hook=None, parse_float=None, parse_int=None, parse_constant=None, object_pairs_hook=None, **kw)¶
Deserialize s (a
str
,bytes
orbytearray
instance containing a JSON document) to a Python object using this conversion table.The other arguments have the same meaning as in
load()
.If the data being deserialized is not a valid JSON document, a
JSONDecodeError
will be raised.Zmienione w wersji 3.6: s can now be of type
bytes
orbytearray
. The input encoding should be UTF-8, UTF-16 or UTF-32.Zmienione w wersji 3.9: The keyword argument encoding has been removed.
Encoders and Decoders¶
- class json.JSONDecoder(*, object_hook=None, parse_float=None, parse_int=None, parse_constant=None, strict=True, object_pairs_hook=None)¶
Simple JSON decoder.
Performs the following translations in decoding by default:
JSON
Python
obiekt
dict
array
list
string
str
number (int)
int
number (real)
typ (float) zmiennoprzecinkowy pojedynczej precyzji
true
True
false
False
null
None
It also understands
NaN
,Infinity
, and-Infinity
as their correspondingfloat
values, which is outside the JSON spec.object_hook is an optional function that will be called with the result of every JSON object decoded and its return value will be used in place of the given
dict
. This can be used to provide custom deserializations (e.g. to support JSON-RPC class hinting).object_pairs_hook is an optional function that will be called with the result of every JSON object 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. If object_hook is also defined, the object_pairs_hook takes priority.Zmienione w wersji 3.1: Added support for object_pairs_hook.
parse_float is an optional function that 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 is an optional function that 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 is an optional function that 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.If strict is false (
True
is the default), then control characters will be allowed inside strings. Control characters in this context are those with character codes in the 0–31 range, including'\t'
(tab),'\n'
,'\r'
and'\0'
.If the data being deserialized is not a valid JSON document, a
JSONDecodeError
will be raised.Zmienione w wersji 3.6: All parameters are now keyword-only.
- decode(s)¶
Return the Python representation of s (a
str
instance containing a JSON document).JSONDecodeError
will be raised if the given JSON document is not valid.
- class json.JSONEncoder(*, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, sort_keys=False, indent=None, separators=None, default=None)¶
Extensible JSON encoder for Python data structures.
Supports the following objects and types by default:
Python
JSON
dict
obiekt
list, tuple
array
str
string
int, float, int- & float-derived Enums
number
True
true
False
false
None
null
Zmienione w wersji 3.4: Added support for int- and float-derived Enum classes.
To extend this to recognize other objects, subclass and implement a
default()
method with another method that returns a serializable object foro
if possible, otherwise it should call the superclass implementation (to raiseTypeError
).If skipkeys is false (the default), a
TypeError
will be raised when trying to encode keys that are notstr
,int
,float
orNone
. If skipkeys is true, such items are simply skipped.If ensure_ascii is true (the default), the output is guaranteed to have all incoming non-ASCII characters escaped. If ensure_ascii is false, these characters will be output as-is.
If check_circular is true (the default), then lists, dicts, and custom encoded objects will be checked for circular references during encoding to prevent an infinite recursion (which would cause a
RecursionError
). Otherwise, no such check takes place.If allow_nan is true (the default), then
NaN
,Infinity
, and-Infinity
will be encoded as such. This behavior is not JSON specification compliant, but is consistent with most JavaScript based encoders and decoders. Otherwise, it will be aValueError
to encode such floats.If sort_keys is true (default:
False
), then the output of dictionaries will be sorted by key; this is useful for regression tests to ensure that JSON serializations can be compared on a day-to-day basis.If indent is a non-negative integer or string, then JSON array elements and object members will be pretty-printed with that indent level. An indent level of 0, negative, or
""
will only insert newlines.None
(the default) selects the most compact representation. Using a positive integer indent indents that many spaces per level. If indent is a string (such as"\t"
), that string is used to indent each level.Zmienione w wersji 3.2: Allow strings for indent in addition to integers.
If specified, separators should be an
(item_separator, key_separator)
tuple. The default is(', ', ': ')
if indent isNone
and(',', ': ')
otherwise. To get the most compact JSON representation, you should specify(',', ':')
to eliminate whitespace.Zmienione w wersji 3.4: Use
(',', ': ')
as default if indent is notNone
.If specified, default should be a function that gets called for objects that can’t otherwise be serialized. It should return a JSON encodable version of the object or raise a
TypeError
. If not specified,TypeError
is raised.Zmienione w wersji 3.6: All parameters are now keyword-only.
- default(o)¶
Implement this method in a subclass such that it returns a serializable object for o, or calls the base implementation (to raise a
TypeError
).For example, to support arbitrary iterators, you could implement
default()
like this:def default(self, o): try: iterable = iter(o) except TypeError: pass else: return list(iterable) # Let the base class default method raise the TypeError return super().default(o)
- encode(o)¶
Return a JSON string representation of a Python data structure, o. For example:
>>> json.JSONEncoder().encode({"foo": ["bar", "baz"]}) '{"foo": ["bar", "baz"]}'
- iterencode(o)¶
Encode the given object, o, and yield each string representation as available. For example:
for chunk in json.JSONEncoder().iterencode(bigobject): mysocket.write(chunk)
Wyjątki¶
- exception json.JSONDecodeError(msg, doc, pos)¶
Subclass of
ValueError
with the following additional attributes:- msg¶
The unformatted error message.
- doc¶
The JSON document being parsed.
- pos¶
The start index of doc where parsing failed.
- lineno¶
The line corresponding to pos.
- colno¶
The column corresponding to pos.
Added in version 3.5.
Standard Compliance and Interoperability¶
The JSON format is specified by RFC 7159 and by
ECMA-404.
This section details this module’s level of compliance with the RFC.
For simplicity, JSONEncoder
and JSONDecoder
subclasses, and
parameters other than those explicitly mentioned, are not considered.
This module does not comply with the RFC in a strict fashion, implementing some extensions that are valid JavaScript but not valid JSON. In particular:
Infinite and NaN number values are accepted and output;
Repeated names within an object are accepted, and only the value of the last name-value pair is used.
Since the RFC permits RFC-compliant parsers to accept input texts that are not RFC-compliant, this module’s deserializer is technically RFC-compliant under default settings.
Character Encodings¶
The RFC requires that JSON be represented using either UTF-8, UTF-16, or UTF-32, with UTF-8 being the recommended default for maximum interoperability.
As permitted, though not required, by the RFC, this module’s serializer sets ensure_ascii=True by default, thus escaping the output so that the resulting strings only contain ASCII characters.
Other than the ensure_ascii parameter, this module is defined strictly in
terms of conversion between Python objects and
Unicode strings
, and thus does not otherwise directly address
the issue of character encodings.
The RFC prohibits adding a byte order mark (BOM) to the start of a JSON text,
and this module’s serializer does not add a BOM to its output.
The RFC permits, but does not require, JSON deserializers to ignore an initial
BOM in their input. This module’s deserializer raises a ValueError
when an initial BOM is present.
The RFC does not explicitly forbid JSON strings which contain byte sequences
that don’t correspond to valid Unicode characters (e.g. unpaired UTF-16
surrogates), but it does note that they may cause interoperability problems.
By default, this module accepts and outputs (when present in the original
str
) code points for such sequences.
Infinite and NaN Number Values¶
The RFC does not permit the representation of infinite or NaN number values.
Despite that, by default, this module accepts and outputs Infinity
,
-Infinity
, and NaN
as if they were valid JSON number literal values:
>>> # Neither of these calls raises an exception, but the results are not valid JSON
>>> json.dumps(float('-inf'))
'-Infinity'
>>> json.dumps(float('nan'))
'NaN'
>>> # Same when deserializing
>>> json.loads('-Infinity')
-inf
>>> json.loads('NaN')
nan
In the serializer, the allow_nan parameter can be used to alter this behavior. In the deserializer, the parse_constant parameter can be used to alter this behavior.
Repeated Names Within an Object¶
The RFC specifies that the names within a JSON object should be unique, but does not mandate how repeated names in JSON objects should be handled. By default, this module does not raise an exception; instead, it ignores all but the last name-value pair for a given name:
>>> weird_json = '{"x": 1, "x": 2, "x": 3}'
>>> json.loads(weird_json)
{'x': 3}
The object_pairs_hook parameter can be used to alter this behavior.
Top-level Non-Object, Non-Array Values¶
The old version of JSON specified by the obsolete RFC 4627 required that
the top-level value of a JSON text must be either a JSON object or array
(Python dict
or list
), and could not be a JSON null,
boolean, number, or string value. RFC 7159 removed that restriction, and
this module does not and has never implemented that restriction in either its
serializer or its deserializer.
Regardless, for maximum interoperability, you may wish to voluntarily adhere to the restriction yourself.
Implementation Limitations¶
Some JSON deserializer implementations may set limits on:
the size of accepted JSON texts
the maximum level of nesting of JSON objects and arrays
the range and precision of JSON numbers
the content and maximum length of JSON strings
This module does not impose any such limits beyond those of the relevant Python datatypes themselves or the Python interpreter itself.
When serializing to JSON, beware any such limitations in applications that may
consume your JSON. In particular, it is common for JSON numbers to be
deserialized into IEEE 754 double precision numbers and thus subject to that
representation’s range and precision limitations. This is especially relevant
when serializing Python int
values of extremely large magnitude, or
when serializing instances of „exotic” numerical types such as
decimal.Decimal
.
Interfejs linii komend¶
Source code: Lib/json/tool.py
The json.tool
module provides a simple command line interface to validate
and pretty-print JSON objects.
If the optional infile
and outfile
arguments are not
specified, sys.stdin
and sys.stdout
will be used respectively:
$ echo '{"json": "obj"}' | python -m json.tool
{
"json": "obj"
}
$ echo '{1.2:3.4}' | python -m json.tool
Expecting property name enclosed in double quotes: line 1 column 2 (char 1)
Zmienione w wersji 3.5: The output is now in the same order as the input. Use the
--sort-keys
option to sort the output of dictionaries
alphabetically by key.
Opcje wiersza poleceń¶
- infile¶
The JSON file to be validated or pretty-printed:
$ python -m json.tool mp_films.json [ { "title": "And Now for Something Completely Different", "year": 1971 }, { "title": "Monty Python and the Holy Grail", "year": 1975 } ]
If infile is not specified, read from
sys.stdin
.
- outfile¶
Write the output of the infile to the given outfile. Otherwise, write it to
sys.stdout
.
- --sort-keys¶
Sort the output of dictionaries alphabetically by key.
Added in version 3.5.
- --no-ensure-ascii¶
Disable escaping of non-ascii characters, see
json.dumps()
for more information.Added in version 3.9.
- --json-lines¶
Parse every input line as separate JSON object.
Added in version 3.8.
- --indent, --tab, --no-indent, --compact¶
Mutually exclusive options for whitespace control.
Added in version 3.9.
- -h, --help¶
Pokaż komunikat pomocy.
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