目錄
一、將字典寫入json文件
二、json文件中讀取字典
三、將字典寫入TXT文件中
四、從TXT中讀取字典
五、解決字典含數組存入json文件失敗的方法
1、存入前將數組變成列表
2、擴展類方法
?
一、將字典寫入json文件
import jsontest_dict = {'version': "1.0",'explain': {'used': True,'details': "this is for josn test",}
}#將字典轉換為字符串形式
json_str = json.dumps(test_dict, indent=4)#注意這個indent參數,可以保存字典的縮進格式,否則為一行with open('test_data.json', 'w') as json_file:json_file.write(json_str)
二、json文件中讀取字典
with open('test_data.json', 'r') as json_file:dic = json.load(json_file)
三、將字典寫入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、從TXT中讀取字典
import jsonfile = open('test.txt', 'r')
js = file.read()
dic = json.loads(js)
print(dic)
file.close()
五、解決字典含數組存入json文件失敗的方法
因為json無法序列化
1、存入前將數組變成列表
array.tolist()
2、擴展類方法
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)
將上述代碼添加到你的代碼中,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)#注意這個indent參數
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))
參考:
https://blog.csdn.net/li532331251/article/details/78203438
https://blog.csdn.net/BobChill/article/details/83864285