错误场景：在使用json.dumps时，出现问题： TypeError: Object of type int64 is not JSON serializable

问题分析：

    python3中没有int64这个数据类型，所有的整型都是int
    报错里的int64指的是<class ‘numpy.int64’>，所以很有迷惑性
    同样的还会出现 TypeError: Object of type float32/float64 is not JSON serializable

解决方案1：

TypeError: Object of type int64 is not JSON serializable
 
def default_dump(obj):
    """Convert numpy classes to JSON serializable objects."""
    if isinstance(obj, (np.integer, np.floating, np.bool_)):
        return obj.item()
    elif isinstance(obj, np.ndarray):
        return obj.tolist()
    else:
        return obj
        
json.dumps(new_config,ensure_ascii=False, default=default_dump)

解决方案2：

import json
 
class JsonEncoder(json.JSONEncoder):
    """Convert numpy classes to JSON serializable objects."""
 
    def default(self, obj):
        if isinstance(obj, (np.integer, np.floating, np.bool_)):
            return obj.item()
        elif isinstance(obj, np.ndarray):
            return obj.tolist()
        else:
            return super(JsonEncoder, self).default(obj)
        
json.dumps(new_config,ensure_ascii=False, cls=JsonEncoder)

  

问题延伸：针对flask jsonify() 序列化错误：

import datatime
from flask import Flask as _Flask
from flask.json import JSONEncoder as _JSONEncoder
 
class FlaskJSONEncoder(_JSONEncoder):
    """重载flask的json encoder, 确保jsonfy()能解析numpy的json"""
 
    def default(self, obj):
        if isinstance(obj, (np.integer, np.floating, np.bool_)):
            return obj.item()
        elif isinstance(obj, np.ndarray):
            return obj.tolist()
        elif isinstance(obj, (datetime.datetime, datetime.timedelta)):
            return obj.__str__()
        else:
            return super(FlaskJSONEncoder, self).default(obj)
 
class Flask(_Flask):
    """重载flask的jsonencoder, 确保能解析numpy的json"""
    json_encoder = FlaskJSONEncoder
    
app = Flask(__name__)

 

————————————————
转自：「我是一只程序⚪」的原创文章，
原文链接：https://blog.csdn.net/weixin_39561473/article/details/123227500