python datetime以毫秒精度浮动
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python datetime to float with millisecond precision
提问by Swier
What is a classy way to store date and time information in a float in python with millisecond precision? Edit: I'm using python 2.7
在python中以毫秒精度将日期和时间信息存储在浮点数中的经典方法是什么？编辑：我正在使用 python 2.7
I've hacked together the following:
我已经破解了以下内容：
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)
Output:
输出：
507482179.234
And then to revert back to datetime:
然后恢复到日期时间：
DT2 = datetime.datetime(2000,1,1) + datetime.timedelta(0, DN)
print DT2
Output:
输出：
2016-01-30 15:16:19.234000
But I'm really looking for something a little more classy and robust.
但我真的在寻找更优雅和更强大的东西。
In matlab I would use the datenumand datetimefunctions:
在 matlab 中，我会使用datenum和datetime函数：
DN = datenum(datetime(2016,01,30,15,16,19.234))
And to revert back:
并恢复：
DT = datetime(DN,'ConvertFrom','datenum')
采纳答案by jatinderjit
Python 2:
蟒蛇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:
蟒蛇3：
def datetime_to_float(d):
return d.timestamp()
The python 3 version of float_to_datetimewill be no different from the python 2 version above.
python 3 版本float_to_datetime将与上面的 python 2 版本没有区别。
回答by second
Maybe timestamp(and fromtimestamp)
也许timestamp（和fromtimestamp）
>>> from datetime import datetime
>>> now = datetime.now()
>>> now.timestamp()
1455188621.063099
>>> ts = now.timestamp()
>>> datetime.fromtimestamp(ts)
datetime.datetime(2016, 2, 11, 11, 3, 41, 63098)
