Python json格式化打印实现过程解析

Daisy ·
更新时间:2024-11-10
· 859 次阅读

编写python脚本,调试的时候需要打印json格式报文,直接打印看不出层次,可以使用json.dumps格式化打印

import json import requests def test_json(): r=requests.get('https://home.testing-studio.com/categories.json') print(r.json()) print(json.dumps(r.json(), indent=2,ensure_ascii=False)) # r.json()是json对象,indent表示缩进,ensure_ascii设置编码 格式化打印前:

格式化打印前:

格式化打印后:

json.dumps方法源码:

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) 您可能感兴趣的文章:把JSON数据格式转换为Python的类对象方法详解(两种方法)python3 json数据格式的转换(dumps/loads的使用、dict to str/str to dict、json字符串/字典的相互转换)Python JSON格式数据的提取和保存的实现对python requests发送json格式数据的实例详解Python中xml和json格式相互转换操作示例Python基于pandas实现json格式转换成dataframe的方法利用python将json数据转换为csv格式的方法python判断字符串是否是json格式方法分享



json格式化 json格式 JSON Python

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