目录

一、将字典写入json文件

二、json文件中读取字典

三、将字典写入TXT文件中

四、从TXT中读取字典

五、解决字典含数组存入json文件失败的方法

1、存入前将数组变成列表

2、扩展类方法

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一、将字典写入json文件

import jsontest_dict = {'version': "1.0",'explain': {'used': True,'details': "this is for josn test",}
}#将字典转换为字符串形式
json_str = json.dumps(test_dict, indent=4)#注意这个indent参数，可以保存字典的缩进格式，否则为一行with open('test_data.json', 'w') as json_file:json_file.write(json_str)

二、json文件中读取字典

with open('test_data.json', 'r') as json_file:dic = json.load(json_file)

三、将字典写入TXT文件中

import jsondic = {  'andy':{  'age': 23,  'city': 'beijing',  'skill': 'python'  },  'william': {  'age': 25,  'city': 'shanghai',  'skill': 'js'  }  
}  js = json.dumps(dic)   
file = open('test.txt', 'w')  
file.write(js)  
file.close()  

四、从TXT中读取字典

import jsonfile = open('test.txt', 'r') 
js = file.read()
dic = json.loads(js)   
print(dic) 
file.close() 

五、解决字典含数组存入json文件失败的方法

因为json无法序列化

1、存入前将数组变成列表

array.tolist()

2、扩展类方法

class NpEncoder(json.JSONEncoder):def default(self, obj):if isinstance(obj, np.integer):return int(obj)elif isinstance(obj, np.floating):return float(obj)elif isinstance(obj, np.ndarray):return obj.tolist()else:return super(NpEncoder, self).default(obj)

将上述代码添加到你的代码中，然后改成json.dumps(data, cls=NpEncoder) 

TypeError: Object of type 'ndarray' is not JSON serializable

from collections import defaultdict
import json
import numpy as npclass NpEncoder(json.JSONEncoder):def default(self, obj):if isinstance(obj, np.integer):return int(obj)elif isinstance(obj, np.floating):return float(obj)elif isinstance(obj, np.ndarray):return obj.tolist()else:return super(NpEncoder, self).default(obj)video = defaultdict(list)
video["label"].append("haha")
video["data"].append(234)
video["score"].append(0.3)
video["label"].append("xixi")
video["data"].append(123)
video["score"].append(0.7)test_dict = {'version': "1.0",'results': (np.zeros((2,3))),'explain': {'used': True,'details': "this is for josn test",}
}
print(test_dict)
json_str = json.dumps(test_dict, indent=4,cls=NpEncoder)#注意这个indent参数
with open('test_data.json', 'w') as json_file:json_file.write(json_str)with open('test_data.json', 'r') as json_file:dic = json.load(json_file)
print(type(dic))

参考：

https://blog.csdn.net/li532331251/article/details/78203438

https://blog.csdn.net/BobChill/article/details/83864285