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r - 使用 R 对时间线进行数据操作/插补

转载 作者:行者123 更新时间:2023-12-01 03:08:47 24 4
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我正在尝试使用 vistime 创建时间线包在 R 中。我遇到的问题是创建数据不存在的行,以获得连续的时间线。

手动执行此操作可能非常乏味,我想找到一种方法来自动填充缺少数据期间的默认标签的过程。

以下是数据和电流输出的示例:

library(vistime)

syst <- data.frame(Position = rep(c( "DOWN"), each= 5),
Name = c("SYS2", "SYS2","SYS4","SYS4","SYS6"),
start = c("2018-10-16","2018-12-06","2018-10-24","2018-12-05","2018-11-09"),
end = c("2018-11-26","2018-12-31","2018-11-23","2018-12-31","2018-12-31"),
color = rep(c('#FF0000'), each=5),
fontcolor = rep(c('white'), each=5))

vistime(syst, events = "Position", groups = "Name")

actual

期望的输出:
syst2 <- data.frame(Position = rep(c( "UP","DOWN"), 5),
Name = rep(c("SYS2", "SYS2","SYS4","SYS4","SYS6"), each=2),
start = c("2018-10-01","2018-10-16","2018-11-26","2018-12-06","2018-10-01","2018-10-24","2018-11-23","2018-12-05","2018-10-01","2018-11-09"),
end = c("2018-10-16","2018-11-26","2018-12-06","2018-12-31","2018-10-24","2018-11-23","2018-12-05","2018-12-31","2018-11-09","2018-12-31"),
color = rep(c("#008000",'#FF0000'), 5),
fontcolor = rep(c('white'), 10))


vistime(syst2, events = "Position", groups = "Name")

expected

最佳答案

我们可以这样做。先让

rng <- c("2018-10-01", "2018-12-31")

是您考虑的开始日期和结束日期的向量。另外,我添加了 stringsAsFactors = FALSEsyst 的定义以避免在添加新日期时出现问题。

然后我们有
library(tidyverse)
syst2 <- syst %>% group_by(Name) %>%
do({bind_rows(., data.frame(Position = "UP", Name = .$Name[1],
start = c(rng[1], .$end),
end = c(.$start, rng[2]),
color = "#008000",
fontcolor = "white",
stringsAsFactors = FALSE))}) %>%
filter(start != end)
vistime(syst2, events = "Position", groups = "Name")

因此,我们按 Name 分组,对于每个组,我们将现有行与一个新数据框绑定(bind),其中所有内容都按预期指定,唯一的技巧是使用 startend .最后,我过滤掉开始日期和结束日期重合的那些行。

enter image description here

关于r - 使用 R 对时间线进行数据操作/插补,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/54031343/

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