python datetime以毫秒精度浮动 [英] python datetime to float with millisecond precision

问题描述

用毫秒精度在python浮点数中存储日期和时间信息的经典方法是什么?我正在使用python 2.7

What is a classy way to store date and time information in a float in python with millisecond precision? I'm using python 2.7

我一起破解了以下内容:

I've hacked together the following:

DT = datetime.datetime(2016,01,30,15,16,19,234000) #trailing zeros are required
DN = (DT - datetime.datetime(2000,1,1)).total_seconds()
print repr(DN)

输出:

507482179.234

然后恢复为日期时间:

DT2 = datetime.datetime(2000,1,1) + datetime.timedelta(0, DN)
print DT2

输出:

2016-01-30 15:16:19.234000

但是我真的在寻找一些更经典，更坚固的东西.

But I'm really looking for something a little more classy and robust.

在matlab中，我将使用 datenum 和 datetime 函数:

In matlab I would use the datenum and datetime functions:

DN = datenum(datetime(2016,01,30,15,16,19.234))

并返回:

DT = datetime(DN,'ConvertFrom','datenum')

推荐答案

Python 2:

def datetime_to_float(d):
    epoch = datetime.datetime.utcfromtimestamp(0)
    total_seconds =  (d - epoch).total_seconds()
    # total_seconds will be in decimals (millisecond precision)
    return total_seconds

def float_to_datetime(fl):
    return datetime.datetime.fromtimestamp(fl)

---

Python 3:

---

Python 3:

def datetime_to_float(d):
    return d.timestamp()

float_to_datetime 的python 3版本与上面的python 2版本没有什么不同.

The python 3 version of float_to_datetime will be no different from the python 2 version above.

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