Sir*_* S. 3 arrays datetime numpy pandas
考虑下面的numpy数组:
import numpy as np
t = np.array(['2016-07-28', '2016-08-25', '2016-09-29', '2016-10-27', '2016-11-17'], dtype='datetime64[D]')
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如何为每个数组元素生成前一天和第二天?我想要的输出如下:
array(['2016-07-27', '2016-07-28', '2016-07-29', ..., '2016-11-16',
'2016-11-17', '2016-11-18'], dtype='datetime64[D]')
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我目前的方法是分别生成三个数组(上一个,一天,下一个),然后将它们组合如下:
tt = np.sort(np.append(t1,(t,t2)))
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Broadcast 这里也!
(t[:,None] + np.arange(-1,2)).ravel()
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紧凑版 -
(t[:,None] + [-1,0,1]).ravel()
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样品运行 -
In [191]: t
Out[191]: array(['2016-07-28', '2016-08-25', '2016-09-29', '2016-10-27', '2016-11-17'], dtype='datetime64[D]')
In [192]: (t[:,None] + np.arange(-1,2)).ravel()
Out[192]:
array(['2016-07-27', '2016-07-28', '2016-07-29', '2016-08-24',
'2016-08-25', '2016-08-26', '2016-09-28', '2016-09-29',
'2016-09-30', '2016-10-26', '2016-10-27', '2016-10-28',
'2016-11-16', '2016-11-17', '2016-11-18'], dtype='datetime64[D]')
In [193]: (t[:,None] + [-1,0,1]).ravel()
Out[193]:
array(['2016-07-27', '2016-07-28', '2016-07-29', '2016-08-24',
'2016-08-25', '2016-08-26', '2016-09-28', '2016-09-29',
'2016-09-30', '2016-10-26', '2016-10-27', '2016-10-28',
'2016-11-16', '2016-11-17', '2016-11-18'], dtype='datetime64[D]')
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