print(pretty_json_str) 1. 运行以上代码,就能够将格式化的JSON字符串输出到控制台。 示例代码 下面是完整的示例代码: importjson# 定义一个字典data={"name":"Alice","age":20,"city":"New York"}# 将字典转换为JSON字符串json_str=json.dumps(data)# 将JSON字符串转换为Python对象python_obj=json.loads...
string unicode number (int) int, long number (real) float true True false False null None 特别注意:转换的时候,python的None会变成null,True和False转换后首字母都会变成小写噢!他们的json格式在python中是无法被识别的,会被当成变量处理。 更多的相关内容,可以查阅python的官方文档:https://docs....
json string pretty 1 : { "key1":"value1", "key2":"value2" } json string pretty 2 : { "key1"="value1", "key2"="value2" } 3. 按 Key 排序输出 JSON 字符串 sort_keys=True按 key 排序 import json d_dis_order = {"name" : "peter", "age": 18, "gender" : "men"} json...
1. Python Pretty Print JSON String We can use thedumps()method to get the pretty formatted JSON string. importjson json_data='[{"ID":10,"Name":"Pankaj","Role":"CEO"},'\'{"ID":20,"Name":"David Lee","Role":"Editor"}]'json_object=json.loads(json_data)json_formatted_str=json....
{"a": 23,"b": 42,"c": 12648430}#Note this only works with dicts containing#primitive types (check out the "pprint" module):>>> json.dumps({all:'yup'}) TypeError: keys must be a string In most cases I'd stick to the built-in "pprint" module though :-)...
1importjson23person_string ='{"name": "Bob", "languages": "English", "numbers": [2, 1.6, null]}'45#Getting dictionary6person_dict =json.loads(person_string)78#Pretty Printing JSON string back9print(json.dumps(person_dict, indent = 4, sort_keys=True)) ...
Python从字符串解析json 您可以手动修复不一致性(添加缺少的大括号),并使用json模块解析: data = json.loads('{' + x + '}') 然后,您可以将解析的数据转换为所需的表示形式: [{item[0]: item[1]} for item in data.items()]#[{'1': {'name': 'item one', 'code': '1'}}, # {'2': ...
DeepDiff(t1='Hello', t2='heLLO', ignore_string_case=True) >> {} view DeepDiff支持对比结果选择text视图和tree视图展示。主要区别在于,tree视图具有遍历对象的功能,可以看到哪些对象与哪些其他对象进行了比较。 虽然视图选项决定了输出的格式,但无论你选择哪种视图,你都可以通过使用pretty()方法得到一个更适合...
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 ...
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 ...