我有这些时间dd-mm-yyyy hh:mm
date
1 14-02-2020 21:02
2 30-04-2019 10:46
3 26-01-2019 10:10
4 26-04-2018 13:38
5 13-07-2017 10:24
6 03-02-2020 13:38
7 16-09-2020 19:35
8 10-02-2020 04:46
9 08-09-2017 13:34
10 08-09-2017 13:34
我想格式化为 dd-mm-yyyy
。我试过了
p %>% mutate(new = format(as.Date(times, "%d-%m-%Y hh:mm"), "%d%m%y"))
但这没有用
p <- structure(list(times = c("14-02-2020 21:02", "30-04-2019 10:46",
"26-01-2019 10:10", "26-04-2018 13:38", "13-07-2017 10:24", "03-02-2020 13:38",
"16-09-2020 19:35", "10-02-2020 04:46", "08-09-2017 13:34", "08-09-2017 13:34"
)), row.names = c(NA, 10L), class = "data.frame")
答案 0 :(得分:2)
根据您的 dput,p$dates 变量采用日期和时间格式。使用 as.Date()
解析时,排除小时/分钟/秒信号。
p %>% mutate(dmy_date = as.Date(times, format = "%d-%m-%Y"))
times dmy_date
1 14-02-2020 21:02 2020-02-14
2 30-04-2019 10:46 2019-04-30
3 26-01-2019 10:10 2019-01-26
4 26-04-2018 13:38 2018-04-26
5 13-07-2017 10:24 2017-07-13
6 03-02-2020 13:38 2020-02-03
7 16-09-2020 19:35 2020-09-16
8 10-02-2020 04:46 2020-02-10
9 08-09-2017 13:34 2017-09-08
10 08-09-2017 13:34 2017-09-08
答案 1 :(得分:1)
有很多方法可以做到。我喜欢第一次约会。但是如果你只是想从字符向量中剥离一些东西,你可以这样做
p$times <- substr(p$times,1,10)
> p
times
1 14-02-2020
2 30-04-2019
3 26-01-2019
4 26-04-2018
5 13-07-2017
6 03-02-2020
7 16-09-2020
8 10-02-2020
9 08-09-2017
10 08-09-2017
答案 2 :(得分:0)
带有 sub
的选项
sub("\\s+.*", "", p$times)