这里有一个简单的解决方案来克服“datetime不可JSON序列化” 问题。

enco = lambda obj: (
    obj.isoformat()
    if isinstance(obj, datetime.datetime)
    or isinstance(obj, datetime.date)
    else None
)

json.dumps({'date': datetime.datetime.now()}, default=enco)

输出:-> {"date": "2015-12-16T04:48:20.024609"}

我的解决方案是……

from datetime import datetime
import json

from pytz import timezone
import pytz


def json_dt_serializer(obj):
    """JSON serializer, by macm.
    """
    rsp = dict()
    if isinstance(obj, datetime):
        rsp['day'] = obj.day
        rsp['hour'] = obj.hour
        rsp['microsecond'] = obj.microsecond
        rsp['minute'] = obj.minute
        rsp['month'] = obj.month
        rsp['second'] = obj.second
        rsp['year'] = obj.year
        rsp['tzinfo'] = str(obj.tzinfo)
        return rsp
    raise TypeError("Type not serializable")


def json_dt_deserialize(obj):
    """JSON deserialize from json_dt_serializer, by macm.
    """
    if isinstance(obj, str):
        obj = json.loads(obj)
    tzone = timezone(obj['tzinfo'])
    tmp_dt = datetime(obj['year'],
                      obj['month'],
                      obj['day'],
                      hour=obj['hour'],
                      minute=obj['minute'],
                      second=obj['second'],
                      microsecond=obj['microsecond'])
    loc_dt = tzone.localize(tmp_dt)
    deserialize = loc_dt.astimezone(tzone)
    return deserialize    

好，现在来做一些测试。

# Tests
now = datetime.now(pytz.utc)

# Using this solution
rsp = json_dt_serializer(now)
tmp = json_dt_deserialize(rsp)
assert tmp == now
assert isinstance(tmp, datetime) == True
assert isinstance(now, datetime) == True

# using default from json.dumps
tmp = json.dumps(datetime.now(pytz.utc), default=json_dt_serializer)
rsp = json_dt_deserialize(tmp)
assert isinstance(rsp, datetime) == True

# Lets try another timezone
eastern = timezone('US/Eastern')
now = datetime.now(eastern)
rsp = json_dt_serializer(now)
tmp = json_dt_deserialize(rsp)

print(tmp)
# 2015-10-22 09:18:33.169302-04:00

print(now)
# 2015-10-22 09:18:33.169302-04:00

# Wow, Works!
assert tmp == now

这里有一个简单的解决方案来克服“datetime不可JSON序列化” 问题。

enco = lambda obj: (
    obj.isoformat()
    if isinstance(obj, datetime.datetime)
    or isinstance(obj, datetime.date)
    else None
)

json.dumps({'date': datetime.datetime.now()}, default=enco)

输出:-> {"date": "2015-12-16T04:48:20.024609"}

根据@jjmontes的回答，我使用了以下方法。 适用于flask和flask-rest用户

# get json string
jsonStr = json.dumps(my_dictionary, indent=1, sort_keys=True, default=str)
# then covert json string to json object
return json.loads(jsonStr)

这是我的完整的解决方案转换datetime JSON和回来..

import calendar, datetime, json

def outputJSON(obj):
    """Default JSON serializer."""

    if isinstance(obj, datetime.datetime):
        if obj.utcoffset() is not None:
            obj = obj - obj.utcoffset()

        return obj.strftime('%Y-%m-%d %H:%M:%S.%f')
    return str(obj)

def inputJSON(obj):
    newDic = {}

    for key in obj:
        try:
            if float(key) == int(float(key)):
                newKey = int(key)
            else:
                newKey = float(key)

            newDic[newKey] = obj[key]
            continue
        except ValueError:
            pass

        try:
            newDic[str(key)] = datetime.datetime.strptime(obj[key], '%Y-%m-%d %H:%M:%S.%f')
            continue
        except TypeError:
            pass

        newDic[str(key)] = obj[key]

    return newDic

x = {'Date': datetime.datetime.utcnow(), 34: 89.9, 12.3: 90, 45: 67, 'Extra': 6}

print x

with open('my_dict.json', 'w') as fp:
    json.dump(x, fp, default=outputJSON)

with open('my_dict.json') as f:
    my_dict = json.load(f, object_hook=inputJSON)

print my_dict

输出

{'Date': datetime.datetime(2013, 11, 8, 2, 30, 56, 479727), 34: 89.9, 45: 67, 12.3: 90, 'Extra': 6}
{'Date': datetime.datetime(2013, 11, 8, 2, 30, 56, 479727), 34: 89.9, 45: 67, 12.3: 90, 'Extra': 6}

JSON文件

{"Date": "2013-11-08 02:30:56.479727", "34": 89.9, "45": 67, "12.3": 90, "Extra": 6}

这使我能够导入和导出字符串，int，浮点和datetime对象。 扩展到其他类型应该不难。

您应该在.datetime.now()方法上应用.strftime()方法，使其成为一个可序列化的方法。

这里有一个例子:

from datetime import datetime

time_dict = {'time': datetime.now().strftime('%Y-%m-%dT%H:%M:%S')}
sample_dict = {'a': 1, 'b': 2}
sample_dict.update(time_dict)
sample_dict

输出:

Out[0]: {'a': 1, 'b': 2, 'time': '2017-10-31T15:16:30'}

(更新):

在Python3.7及以后版本中，你可以简单地使用.isoformat()方法:

from datetime import datetime

datetime.now().isoformat()