时间序列解析 - PI 数据答案

【问题标题】：Time Series parsing - PI Data时间序列解析 - PI 数据
【发布时间】：2015-04-11 02:49:36
【问题描述】：

我有一个非常大的时间序列数据集，格式如下。

"Tag.1","1/22/2015 11:59:54 PM","570.29895",
"Tag.1","1/22/2015 11:59:56 PM","570.29895",
"Tag.1","1/22/2015 11:59:58 PM","570.29895",
"Tag.1","1/23/2015 12:00:00 AM","649.67133",
"Tag.2","1/22/2015 12:00:02 AM","1.21",
"Tag.2","1/22/2015 12:00:04 AM","1.21",
"Tag.2","1/22/2015 12:00:06 AM","1.21",
"Tag.2","1/22/2015 12:00:08 AM","1.21",
"Tag.2","1/22/2015 12:00:10 AM","1.21",
"Tag.2","1/22/2015 12:00:12 AM","1.21",

我想将其分成一个数据框，其中一个公共列用于时间戳，一个列用于标签。

Date.Time, Tag.1, Tag.2, Tag.3...    
1/22/2015 11:59:54 PM,570.29895,

任何建议将不胜感激！

【问题讨论】：

标签： r time-series large-data

【解决方案1】：

也许是这样的： cast(df,V2~V1,mean,value='V3') V2 Tag.1 Tag.2 1 1/22/2015 11:59:54 PM 570.2989 NaN 2 1/22/2015 11:59:56 PM 570.2989 NaN 3 1/22/2015 11:59:58 PM 570.2989 NaN 4 1/22/2015 12:00:02 AM NaN 1.21 5 1/22/2015 12:00:04 AM NaN 1.21 6 1/22/2015 12:00:06 AM NaN 1.21 7 1/22/2015 12:00:08 AM NaN 1.21 8 1/22/2015 12:00:10 AM NaN 1.21 9 1/22/2015 12:00:12 AM NaN 1.21 10 1/23/2015 12:00:00 AM 649.6713 NaN

cast 是 reshape 包的一部分最好的， ZP

【讨论】：