代码语言:python 代码运行次数:0 运行 AI代码解释 defperson_decoder(obj):if"name"inobjand"age"inobj:returnPerson(name=obj["name"],age=obj["age"])returnobj# 反序列化JSON字符串loaded_person=json.loads(json_string_custom,object_hook=person_decoder)print(loaded_person.__dict__) 这样,我们就实现...
JSON in Python Python has a built-in package calledjson, which can be used to work with JSON data. Example Import the json module: importjson Parse JSON - Convert from JSON to Python If you have a JSON string, you can parse it by using thejson.loads()method....
proxy.getPort()),newUsernamePasswordCredentials("16YUN","16IP"));// 创建HTTP客户端CloseableHttpClient httpClient=HttpClientBuilder.create().setProxy(proxy).setDefaultCredentialsProvider(credentialsProvider).build();// 创建HTTP请求HttpGet httpGet=newHttp...
shelve模块比pickle模块简单,只有一个open函数,返回类似字典的对象,可读可写,key必须为字符串,而值可以是Python所支持的数据类型 importshelve f=shelve.open(r'sheve.txt') f['stu1_info']={'name':'egon','age':18,'hobby':['piao','smoking','drinking']} ...
1. json.dumps把 python数据类型 转换成 Json字符串 import json # example 1: 将python数据类型(e.g. 字典)转为 json 字符串 data1 = { 'no': 1, 'name': 'Runoob', 'utl': 'http://www.runoob.com' } data1_json = json.dumps(data1) ...
从上面的运行可以看出,request 不是必须的,我们可以直接调用python内置函数print 去打印一些内容了。 2.2 一个简单的 http 请求 以http://www.example.com/ get 请求示例 test_get_demo.yml config: name: get teststeps: - name: get request: method: GET url: http://httpbin.org/get validate: - eq:...
Fix an example to catch an exception by reference. #4331 Fix example for JSON Pointer usage. #4255 Fix using a wrong function in documentation. #4472 Fix for incorrect function name in a documentation example. #4342 #4334 Fix typos. #4345 #4412 #4565 #4679 #4723 Fix style warnings. #45...
std::ifstream f("example.json"); json data = json::parse(f); Creating json objects from JSON literals Assume you want to create hard-code this literal JSON value in a file, as a json object: { "pi": 3.141, "happy": true } There are various options: // Using (raw) string liter...
importjson# 假设json_data是上述JSON结构json_data={"employees":[{"name":"John Doe","email":"johndoe@example.com"},{"name":"Jane Doe","email":"janedoe@example.com"}]}# 遍历员工数组foremployeeinjson_data["employees"]:print(f"Name: {employee['name']}, Email: {employee['email']}")...
访问reader对象中的值的最直接的方法是通过将它传递给list()➍ 来将其转换成普通的 Python 列表。在这个reader对象上使用list()会返回一个列表列表,您可以将它存储在一个类似exampleData的变量中。在 Shell 中输入exampleData显示列表列表 ➎。 现在您已经将 CSV 文件作为一个列表列表,您可以使用表达式exampleData...