import json# 读取文件内容到字符串中with open('data.json', 'r', encoding='utf-8') as file:json_str = file.read()# 使用json.loads()方法解析JSON字符串data = json.loads(json_str)# 打印解析后的Python对象print(data)print(data['name']) # 提取name字段的值 三、使用pandas库的read_json()...
import json with open('myJson.json') as data_file: data = json.load(data_file) df = pd.json_normalize(data, 'locations', ['date', 'number', 'name'], record_prefix='locations_') print (df) locations_arrTime locations_arrTimeDiffMin locations_depTime \ 0 06:32 1 06:37 ...
import json # 写入 JSON 文件 data = {'name': 'Alice', 'age': 25} with open('data.json...
Learn to read a JSON file in Python with the help of json.load() method which reads the data into a Python object. For quick reference, below is the code which reads a JSON file to a Python object. 1. json.load() Method The json.load() deserializes a given JSON file …...
在读写JSON文件之前,我们首先需要打开文件。使用open()函数可以打开一个文件,并返回一个文件对象。 # 打开JSON文件withopen('data.json','r')asfile:json_data=file.read() 1. 2. 3. 代码解释: 使用open('data.json', 'r')打开名为data.json的文件,使用只读模式'r'。如果文件不存在,将会抛出FileNotFo...
首先,读取JSON文件内容到字符串中: import json # 读取文件内容到字符串中 with open('data.json', 'r', encoding='utf-8') as file: json_str = file.read() # 使用json.loads()方法解析JSON字符串 data = json.loads(json_str) # 打印解析后的Python对象 ...
要读取JSON文件,你可以使用json模块。importjson# 打开文件withopen('example.json','r')asfile:# ...
with open('data.json', 'r') as file: json_data = file.read() # 解析JSON数据 data = json.loads(json_data) # 输出解析后的数据 print(data) 在上面的示例中,我们首先使用open()函数打开JSON文件,并将其读取为字符串。然后,我们使用json.loads()函数将字符串解析为Python对象。最后,我们可以访问和...
How can I parse (read) and use JSON in Python? (6 answers) Closed last year. A simple looking, easy statement is throwing some errors in my face. I have a JSON file called strings.json like this: "strings": [{"-name": "city", "#text": "City"}, {"-name": "phone", "#...
2.字典类型和JSON数据互相转换。load and dump defread_json_dict2json(path): json_dict=None with open(path,'r', encoding='utf_8') as fp: json_dict=json.load(fp)print(type(json_dict))foriteminjson_dict:print(item)print(json_dict[item])#append new data and write into a file.new_dat...