我有三个阵列
lat=[15,15.25,15.75,16,....30]
long=[91,91.25,91.75,92....102]
data=
array([[ 0. , 0. , 0. , ..., 0. , 0. , 0. ],
[ 0. , 0. , 0. , ..., 0. , 0. , 0. ],
[ 0. , 0. , 0. , ..., 0. , 0. , 0. ],
...,
[-99.9, -99.9, -99.9, ..., 0. , 0. , 0. ],
[-99.9, -99.9, -99.9, ..., 0. , 0. , 0. ],
[-99.9, -99.9, -99.9, ..., 0. , 0. , 0. ]])
它的[44 cols和60行]与long x …
我在pandas数据帧中有1分钟时间步数据.此数据不会连续记录,现在我想根据以下条件将所有数据拆分为单独的事件:如果连续数据记录5分钟或更长时间,则仅将其视为事件,并且对于此类事件数据需要单独提取.有没有办法在pandas数据帧中实现它.
我的数据看起来像这样(结果是Event列):
Date X Event
2017-06-06 01:08:00 0.019 1
2017-06-06 01:09:00 0.005 1
2017-06-06 01:10:00 0.03 1
2017-06-06 01:11:00 0.005 1
2017-06-06 01:12:00 0.003 1
2017-06-06 01:13:00 0.001 1
2017-06-06 01:14:00 0.039 1
2017-06-06 01:15:00 0.003 1
2017-06-06 01:17:00 0.001 nan
2017-06-06 01:25:00 0.006 nan
2017-06-06 01:26:00 0.006 nan
2017-06-06 01:27:00 0.032 nan
2017-06-06 01:29:00 0.013 2
2017-06-06 01:30:00 0.065 2
2017-06-06 01:31:00 0.013 2
2017-06-06 01:32:00 0.001 2
2017-06-06 01:33:00 0.02 2
2017-06-06 01:38:00 0.05 nan
2017-06-06 01:40:00 0.025 …