def search_json(key, json_obj): results = [] if isinstance(json_obj, dict): for k, v in json_obj.items(): if k == key: results.append(v) elif isinstance(v, (dict, list)): results.extend(search_json(key, v)) elif isinstance(json_obj, list): for item in json_obj: results...
import json def search_json(file_path, target_value): with open(file_path, 'r', encoding='utf-8') as file: data = json.load(file) results = [] def search_dict(d, target): for key, value in d.items(): if value == target: results.append((key, value)) elif isinstance(value,...
1.利用python内部的json解析JSON数据: import json json_str='{"name":"tai","age":23}'#json内用双引号,则外部用单引号表示strstudent=json.loads(json_str)print(type(student))print(student)print(student['name'])print(student['age'])#<class 'dict'> #解析出来是字典#{'name': 'tai', 'age'...
DeepDiff:该模块通过递归方式比较两个字典、可迭代对象、字符串和其他对象的深度差异。 DeepSearch:该模支持在对象中搜索对象。 Extract:该模块可以根据值抽取其Key的路径;反过来根据Key路径提取其值。 命令行:安装DeepDiff,你也可以在终端通过命令行本地的两个文件的异同。支持主流的文件格式如csv、tsv、 json、yaml等...
1.1 JSON介绍 json简单说就是javascript中的对象和数组,所以这两种结构就是对象和数组两种结构,通过这两种结构可以表示各种复杂的结构。 1. 对象:对象在js中表示为{ }括起来的内容,数据结构为 { key:value, key:value, ... }的键值对的结构,在面向对象的语言中,key为对象的属性,value为对应的属性值,所以很容...
importjsonimportre data=''' { "name": "John", "age": 30, "city": "New York" } '''json_data=json.loads(data)pattern=r"na"forkey,valueinjson_data.items():ifre.search(pattern,key):print(f"Key:{key}, Value:{value}")
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(expect_string默认值为None),如果send_command()从回显内容中读到了expect_string参数指定的内容,则send_command()依然返回完整的回显内容,如果没读到expect_string参数指定的内容,则netmiko同样会返回一个OSError: Search pattern never detected in send_command: xxxxx的异常,关于expect_string参数的用法会在稍后的...
Click on the "Try it Yourself" button to see how it works. Python File Handling In our File Handling section you will learn how to open, read, write, and delete files. Python File Handling Python Database Handling In our database section you will learn how to access and work with MySQL...
When json data have nested objects, JsonSearch allows you to find specific elements in json data easily. Take the program above as an example, if you want to get the first'title'value in data, you don't need to usetest_data['store']['book'][0]['title']anymore, you can just use...