matlab date time,MATLAB datenum日期转换为Python日期

摘要

MATLAB datenum时间格式参数众多，本文只简单关注 units 参数，即基准年份和计时度量(天、小时)。

命令行演示在 ipython 和 Octave 中进行。

示例1：小时制，基准年份1800-1-1

Time Attributes:

units = 'hours since 1800-1-1 00:00:0.0'

long_name = 'Time'

axis = 'T'

standard_name = 'time'

coordinate_defines = 'start'

delta_t = '0000-00-01 00:00:00'

actual_range = [1.74e+06 1.75e+06]

avg_period = '0000-00-01 00:00:00'

time(1:5):

1744392

1744416

1744440

1744464

1744488

#来源： 参考1

# python

import numpy as np

origin = np.datetime64('1800-01-01', 'D')

date1 = 1744392/24 * np.timedelta64(1, 'D') + origin # '1999-01-01'

示例2：一天制，基准年份1800-1-1

time {

String units "days since 1800-1-1 00:00:00";

String long_name "Time";

Float64 actual_range 19723.00000000000, 76214.00000000000;

String delta_t "0000-01-00 00:00:00";

String avg_period "0000-01-00 00:00:00";

String prev_avg_period "0000-00-07 00:00:00";

String standard_name "time";

String axis "t";

}

#来源： 参考2

# python

import numpy as np

origin = np.datetime64('1800-01-01', 'D')

date2 = 19723 * np.timedelta64(1, 'D') + origin # '1854-01-01'

示例3：时间列表转换

import numpy as np

import pandas as pd

datenums = np.array([730990, 733301, 729159, 734471, 736858, 731204]) # 来源：参考7

timestamps = pd.to_datetime(datenums-719529, unit='D')

'''

DatetimeIndex(['2001-05-19', '2007-09-16', '1996-05-14',

'2010-11-29', '2017-06-12', '2001-12-19'],

dtype='datetime64[ns]', freq=None)

'''

截图(仅供参考)

验证：

参考

来源：oschina

链接：https://my.oschina.net/u/4299068/blog/3380762