Reputation: 1444
Want to change the class for Time to POSIXlt and extract only the hours minutes and seconds
str(df3$Time)
chr [1:2075259] "17:24:00" "17:25:00" "17:26:00" "17:27:00" ...
Used the strptime function
df33$Time <- strptime(df3$Time, format = "%H:%M:%S")
This gives the date/time appended
> str(df3$Time)
POSIXlt[1:2075259], format: "2015-08-07 17:24:00" "2015-08-07 17:25:00" "2015-08-07 17:26:00" ...
Wanted to extract just the time without changing the POSIXlt class. using the strftime function
df3$Time <- strftime(df3$Time, format = "%H:%M:%S")
but this converts the class back to "char" -
> class(df3$Time)
[1] "character"
How can I just extract the time with class set to POSIX or numeric...
Upvotes: 28
Views: 56415
Reputation: 2335
A "modern" tidyverse
answer to this is to use hms::as_hms()
For example
library(tidyverse)
library(hms)
as_hms(1)
#> 00:00:01
as_hms("12:34:56")
#> 12:34:56
or, with your example data:
x <- as.POSIXlt(c("17:24:00", "17:25:00", "17:26:00", "17:27:00"), format = "%H:%M:%S")
x
#>[1] "2021-04-10 17:24:00 EDT" "2021-04-10 17:25:00 EDT" "2021-04-10 17:26:00 EDT" "2021-04-10 17:27:00 EDT"
as_hms(x)
# 17:24:00
# 17:25:00
# 17:26:00
# 17:27:00
See also docs here: https://hms.tidyverse.org/reference/hms.html
Upvotes: 9
Reputation: 3329
This is my idiom for getting just the timepart from a datetime object. I use floor_date()
from lubridate to get midnight of the timestamp and take the difference of the timestamp and midnight of that day. I create and store a hms
object provided with lubridate
(I believe) in dataframes because the class has formatting of hh:mm:ss
that is easy to read, but the underlying value is a numeric value of seconds. Here is my code:
library(tidyverse)
library(lubridate)
#>
#> Attaching package: 'lubridate'
#> The following object is masked from 'package:base':
#>
#> date
# Create timestamps
#
# Get timepart by subtacting the timestamp from it's floor'ed date, make sure
# you convert to seconds, and then cast to a time object provided by the
# `hms` package.
# See: https://www.rdocumentation.org/packages/hms/versions/0.4.2/topics/hms
dt <- tibble(dt=c("2019-02-15T13:15:00", "2019-02-19T01:10:33") %>% ymd_hms()) %>%
mutate(timepart = hms::hms(as.numeric(dt - floor_date(dt, "1 day"), unit="secs")))
# Look at result
print(dt)
#> # A tibble: 2 x 2
#> dt timepart
#> <dttm> <time>
#> 1 2019-02-15 13:15:00 13:15
#> 2 2019-02-19 01:10:33 01:10
# `hms` object is really a `difftime` object from documentation, but is made into a `hms`
# object that defaults to always store data in seconds.
dt %>% pluck("timepart") %>% str()
#> 'hms' num [1:2] 13:15:00 01:10:33
#> - attr(*, "units")= chr "secs"
# Pull off just the timepart column
dt %>% pluck("timepart")
#> 13:15:00
#> 01:10:33
# Get numeric part. From documentation, `hms` object always stores in seconds.
dt %>% pluck("timepart") %>% as.numeric()
#> [1] 47700 4233
Created on 2019-02-15 by the reprex package (v0.2.1)
Upvotes: 7
Reputation: 71
You can also use the chron
package to extract just times of the day:
library(chron)
# current date/time in POSIXt format as an example
timenow <- Sys.time()
# create chron object "times"
onlytime <- times(strftime(timenow,"%H:%M:%S"))
> onlytime
[1] 14:18:00
> onlytime+1/24
[1] 15:18:00
> class(onlytime)
[1] "times"
Upvotes: 7
Reputation: 2989
If your data is
a <- "17:24:00"
b <- strptime(a, format = "%H:%M:%S")
you can use lubridate
in order to have a result of class integer
library(lubridate)
hour(b)
minute(b)
# > hour(b)
# [1] 17
# > minute(b)
# [1] 24
# > class(minute(b))
# [1] "integer"
and you can combine them using
# character
paste(hour(b),minute(b), sep=":")
# numeric
hour(b) + minute(b)/60
for instance.
I would not advise to do that if you want to do any further operations on your data. However, it might be convenient to do that if you want to plot the results.
Upvotes: 29
Reputation: 1082
If you want it in POSIX format, the only way would be to leave it as it is, and extract just the "time" part everytime you display it. But internally it will always be date + time anyway. If you want it in numeric, however, you can simply convert it into a number. For example, to get time as number of seconds passed since the beginning of the day:
df3$Time=df3$Time$sec + df3$Time$min*60 + df3$Time$hour*3600
Upvotes: 2
Reputation: 368181
A datetime object contains date and time; you cannot extract 'just time'. So you have to think throught what you want:
Neither one omits the Date part. Once you have a valid object, you can choose to display only the time. But you cannot make the Date part disappear from the representation.
Upvotes: 13