我正在使用R处理Twitter数据,并且具有日期和时间列,例如“ 10/19/2018 23:00”,“ 10/19/2018 23:01”,“ 10/19/2018” 23:02“,” 10/19/2018 19:45“。 我想将格式更改为不带日期,也将时间更改为不带分钟,例如23小时内的任何时间,我需要将其设置为仅23个不带分钟。 这是该列的示例:
created
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:29
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 23:28
10/19/2018 15:32
10/19/2018 15:32
10/19/2018 15:32
10/19/2018 15:32
10/19/2018 15:32
10/19/2018 15:32
10/19/2018 15:32
10/19/2018 15:32
我需要像这样 15:00 23:00 16:00
希望你了解我 你能帮我做吗,谢谢你。
答案 0 :(得分:0)
我们可以使用sub
sub('.*\\s(.{2}).*', '\\1:00', df1$created)
#[1] "23:00" "23:00" "23:00" "23:00"
或转换为DateTime
类,然后使用format
提取组件
format(as.POSIXct(df1$created, format = "%m/%d/%Y %H:%M"), "%H:00")
#[1] "23:00" "23:00" "23:00" "23:00"
df1 <- data.frame(created = c('10/19/2018 23:29',
'10/19/2018 23:29', '10/19/2018 23:29',
'10/19/2018 23:29'), stringsAsFactors = FALSE)
答案 1 :(得分:0)
x<-
c("10/19/2018 23:29", "10/19/2018 23:29", "10/19/2018 23:29", "10/19/2018 23:29")
paste0(unlist(regmatches(x, gregexpr("(?<=\\s)\\d{2}(?=:\\d{2})", x, perl = T))), ":00")
#[1] "23:00" "23:00" "23:00" "23:00"