file_path="/Users/nikpi/Desktop/sample.json"withopen(file=file_path,mode='r')asread_file:object=json.load(read_file)pretty_object=json.dumps(object,indent=4)print(pretty_object)# Returns:# {# "activity": "Plan a trip to another country",# "type": "recreational",# "participants": 1,...
Python中,有多种方法可以对JSON数据进行美化,其中最常用的是使用json库中的dumps方法。dumps方法可以将JSON对象转换为字符串,同时我们可以通过设置indent参数来指定缩进量,从而实现美化效果。 代码示例 importjson data={"name":"Alice","age":30,"city":"New York"}# 将JSON对象转换为字符串并美化输出pretty_data...
{'b': 42,'c': 12648430.'a': 23}#😞#The "json" module can do a much better job:>>>importjson>>>print(json.dumps(my_mapping, indent=4, sort_keys=True)) {"a": 23,"b": 42,"c": 12648430}#Note this only works with dicts containing#primitive types (check out the "pprint" ...
# -*- coding:utf-8 -*- import json json_dic = {"token":"dasgdhasdas", "status":0, "data":{"name":"隔壁老王", "password":123456}, "author":None} json_str = json.dumps(json_dic) json_str_str = str(json_dic) print("===转之前===") print("type(json_dic)", type(json...
importjsonwithopen('Cars.json','r')asjson_file:json_object=json.load(json_file)print(json_object)print(json.dumps(json_object))print(json.dumps(json_object,indent=1)) Copy Output: [{'Car Name':'Honda City','Car Model':'City','Car Maker':'Honda','Car Price':'20,000USD'},{'Car...
import json data = [{'a': 1, 'b': 2, 'c': 3}] data2 = json.dumps(data) # 将python对象转换成json字符串 print(data2) print(type(data2)) print("---还可以使用参数格式化输出json格式---") print(json.dumps(data, sort_keys=True, indent=4, separators=(',', ': '))) jsonData...
importjson dic= {'k1':'v1','k2':'v2','k3':'v3'} str_dic= json.dumps(dic)#序列化:将一个字典转换成一个字符串print(type(str_dic),str_dic)#<class 'str'> {"k3": "v3", "k1": "v1", "k2": "v2"}#注意,json转换完的字符串类型的字典中的字符串是由""表示的dic2= json.lo...
简介:Python json中一直搞不清的load、loads、dump、dumps、eval 做接口测试的时候,有时候需要对字符串、json串进行一些转换,可是总是得花费一些时间,本质来说还是有可能是这几个方法的使用没有弄清楚。 1、json.loads() 源码: defloads(s, *, encoding=None, cls=None, object_hook=None, parse_float=None...
dump() –将数据转换为JSON文件dumps() –将数据转换为JSON字符串load() –将JSON文件转换为Python对象loads()–将JSON字符串的对象转换为Python对象 漂亮的印刷: Pretty Printing负责代码对齐并使其以人类可读的格式进行。让我们看下面的示例,其中我传递了两个参数'sort_keys',这些参数始终返回布尔True值和'indent...
Example 5: Python pretty print JSON importjson person_string ='{"name": "Bob", "languages": "English", "numbers": [2, 1.6, null]}'# Getting dictionaryperson_dict = json.loads(person_string)# Pretty Printing JSON string backprint(json.dumps(person_dict, indent =4, sort_keys=True)) ...