Thanks.
On 10/10/24 16:13, Jeff Newmiller wrote:
POSIXt vectors do not support different time zones element-to-element.
> I complained about this on this list a couple of decades ago, and was
chastised for it. Evidently handling timezones per element was
considered to be too impractically slow to be a standard feature.
This is where it is unclear to me what the purpose is of the `zone`
element of the POSIXlt object. It does allow for registering a time zone
per element. It just seems to be ignored.
If you want to keep track of timezones per element, you have to create a vector
of timestamps (I would recommend POSIXct using UTC) and a parallel vector of
timezone strings. How you manipulate these depends on your use cases, but from
R's perspective you will have to manipulate them element-by-element.
As I mentioned, fortunately, I only have local time and GMT and it would
be fine to convert them to a single time zone if that is what it takes
to work with them in R. So, I guess, I could split the vector in two,
convert local time to GMT and combine them again (respecting the
original order).
Jan
On October 10, 2024 6:46:19 AM PDT, Jan van der Laan <rh...@eoos.dds.nl> wrote:
It is not completely clear to me how time zones work with POSIXlt objects. For
POSIXct, I can understand what happens: time is always stored in GMT, the
`tzone` attribute only affects how the times are displayed. All computations
etc. are done in GMT.
POSIXlt objects have both a `tzone` attribute and a `zone` field. It seems that
the `zone` field is largely ignored. It only seems to be used for displaying
the times, but does not seem to play a role when doing arithmetic and
conversions of the times.
For example below, we have the same times in two different time zones. The
following seems to do what I expect: when we subtract the two times we get the
difference in time between the two time zones:
t1 <- as.POSIXlt(c("2024-01-01 12:30", "2024-01-01 12:30"), tz = "GMT")
t1$zone
# [1] "GMT" "GMT"
t2 <- as.POSIXlt(c("2024-01-01 12:30", "2024-01-01 12:30"))
t2$zone
# [1] "CET" "CET"
t1 - t2
# Time differences in hours
# [1] 1 1
When I change the `tzone` attribute of t1 to that of t2:
attr(t1, "tzone") <- attr(t2, "tzone")
t1
#[1] "2024-01-01 12:30:00 GMT" "2024-01-01 12:30:00 GMT"
The times are still displayed as being in GMT, however when I take the
difference:
t1 - t2
#Time differences in secs
#[1] 0 0
We get a difference of 0. So it seems that the difference is only based on the
`tzone` attribute. The value of `zone` is completely ignored.
I am aware of the following remark in ?POSIXlt on arithmetic operations
| Be aware that ‘"POSIXlt"’ objects will be interpreted as being in
| the current time zone for these operations unless a time zone has
| been specified.
but this does not explain this, I think.
One of the reasons, I ask, is that I have (potentially) times in different time
zones. Using POXIXlt objects seems like they could store/support this. But
working with this seems unpractical as the `zone` field does not seem to do
anything:
t1$zone <- c("CET", "GMT")
t1 - t2
#Time differences in secs
#[1] 0 0
Also the `gmtoff` field does not seem to do anything. For what/where is this
field used?
t1$gmtoff <- c(3600, 0)
t1
#[1] "2024-01-01 12:30:00 CET" "2024-01-01 12:30:00 GMT"
t1 - t2
#Time differences in secs
#[1] 0 0
as.POSIXct(t1)
#[1] "2024-01-01 12:30:00 CET" "2024-01-01 12:30:00 CET"
So, I am not sure what purpose the zone and gmtoff fields have. Do they have a
purpose? Am I using them wrong? The reason I am asking, is that I have some
times in potentially different time zones. The data I get is something like:
times <- list(
year = c(2024L, 2024L),
month = c(1L, 1L),
day = c(1L, 1L),
hour = c(12L, 12L),
minutes = c(30L, 30L),
seconds = c(0, 0),
timezone = c("", "GMT")
)
I am looking for ways to convert this into a practical date format for working
with in R. Possible time zones are only local time or UTC/GMT. I would be fine
with either converting local time to GMT. What would be a good way to convert
these to a format R can work with?
Thanks for the help.
Jan
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