I need a simple way to format dates by different country formats. In the ideal case make one setup and use it everywhere in the code.
Let's say for EN and FR formats it should be: YYYY-MM-DD (England) and DD-MM-YYYY (France)
# This requires extra work. Each time ask wrapper
format_date <- function(date_obs, country_code) {
if(country_code == "en") result <- format(date_obs, format = "%Y-%m-%d")
if(country_code == "fr") result <- format(date_obs, format = "%d-%m-%Y")
result
}
format_date(today(), "en")
format_date(today(), "fr")
# I need this kind of solution
Sys.setlocale(date_format = '%d-%m-%Y')
print(today()) # <<- should be in French format
Thanks!
There are AFAIK no explicity ways to get the preferred date format of a country in R. The only thing you can do is to retrieve it yourself.
Using data from here, you can convert the date format in R strptime format, and then use it format your dates:
read.csv("https://gist.githubusercontent.com/mlconnor/1887156/raw/014a026f00d0a0a1f5646a91780d26a90781a169/country_date_formats.csv")
date_format <-
date_format %>%
mutate(Date.Format = str_replace_all(Date.Format, c("yyyy" = "%Y",
"MM" = "%m",
"(?<!M|%)M(?!M)" = "%-m",
"dd" = "%d",
"(?<!d|%)d(?!d)" = "%a"))) %>%
select(country = ISO639.2.Country.Code, date_format = Date.Format)
format_to_locale <- function(date, locale) format(date, date_format[date_format$country == locale, "date_format"])
format_to_locale(today(), "FR")
#[1] "07/02/2023"
format_to_locale(today(), "US")
#[1] "02/ 7/2023"
This has probably some limitations, but this is a starting point.
Related
I have a column of text dates in the format of Feb20, Mar20, ... Feb21, I would like to create a new column with properly formatted dates as in Feb/20, Mar/20... etc. What is the easiest way doing this? I need this to create my ggplot.
thank you in advance!
if locale-setting is an issue, try
mystr <- c("Feb20", "Mar20")
#store current locale, en change
orig_locale <- Sys.getlocale("LC_TIME")
Sys.setlocale("LC_TIME", "C")
#create dates
ans <- as.POSIXct( paste0( "01", mystr), format = "%d%b%y" )
#set locale top previous
Sys.setlocale("LC_TIME", orig_locale)
#format datse to whatever you like
format(ans, format = "%b/%y")
I am trying to format a string column to a date-time serie.
The row in the column are like this example: "2019-02-27T19:08:29+000"
(dateTime is the column, the variable)
mutate(df,dateTime=as.Date(dateTime, format = "%Y-%m-%dT%H:%M:%S+0000"))
But the results is:
2019-02-27
What about the hours, minutes and seconds ?
I need it to apply a filter by date-time
Your code is almost correct. Just the extra 0 and the as.Date command were wrong:
library("dplyr")
df <- data.frame(dateTime = "2019-02-27T19:08:29+000",
stringsAsFactors = FALSE)
mutate(df, dateTime = as.POSIXct(dateTime, format = "%Y-%m-%dT%H:%M:%S+000"))
Strptime seems to be missing something in this scenario:
aDateInPOSIXct <- strptime("2018-12-31", format = "%Y-%m-%d")
someText <- "asdf"
df <- data.frame(aDateInPOSIXct, someText, stringsAsFactors = FALSE)
bDateInPOSIXct <- strptime("2019-01-01", format = "%Y-%m-%d")
df[1,1] <- bDateInPOSIXct
Assignment of bDate to the dataframe fails with:
Error in as.POSIXct.numeric(value) : 'origin' must be supplied
And a warning:
provided 11 variables to replace 1 variables
I want to use both POSIXct dates and POSIXct date-times to compare this and that. It's way less work than manipulating character strings -- and POSIX takes care of the time zone issues. Unfortunately, I'm missing something.
You only need to cast your calls to strptime to POSIXct explicitly:
aDateInPOSIXct <- as.POSIXct(strptime("2018-12-31", format = "%Y-%m-%d"))
someText <- "asdf"
df <- data.frame(aDateInPOSIXct, someText, stringsAsFactors = FALSE)
bDateInPOSIXct <- as.POSIXct(strptime("2019-01-01", format = "%Y-%m-%d"))
df[1,1] <- bDateInPOSIXct
Check the R documentation which says:
Character input is first converted to class "POSIXlt" by strptime: numeric input is first converted to "POSIXct".
I am reading in a .csv of dates and gps positions. I need to convert the date column to a date class.
I am using:
data = data.frame(rbind(c('2016/07/19 17:52:00',3674.64416424279,354.266660979476),
c('2016/07/19 17:54:00',3674.65121597935,354.246972537617),
c('2016/07/19 17:55:00',3674.65474186293,354.237128326737),
c('2016/07/19 17:56:00',3674.65826775671,354.227284122559)))
colnames(data) = (c('GMT_DateTime','northing','easting'))
data$GMT_DateTime<-as.POSIXct(data$GMT_DateTime, tz="GMT", format = "%Y/%m/%d %H:%M:%S")
Sometimes the date in the .csv to be read is formatted as "%Y/%m/%d %H:%M:%S" and sometimes as "%m/%d/%Y %H:%M"
Is there a way to feed in two possible formats to as.POSIXct() to try both possible formats? I imagine something like this:
data$GMT_DateTime<-as.POSIXct(data$GMT_DateTime, tz="GMT", format = "%m/%d/%Y %H:%M" or "%Y/%m/%d %H:%M:%S")
Thank you!
In what follows I will use package lubridate.
I have added two extra rows to the example dataset, with date/time values in the "%m/%d/%Y %H:%M" format. Note that that column is of class character, if it is of class factor it will probably throw an error.
As for the warnings, don't worry, they are just lubridate telling you that it found several formats and cannot process them all in one go.
tmp <- data$GMT_DateTime # work on a copy
na <- is.na(ymd_hms(tmp))
data$GMT_DateTime[!na] <- ymd_hms(tmp)[!na]
data$GMT_DateTime[na] <- mdy_hm(tmp)[na]
data$GMT_DateTime <- as.POSIXct(as.numeric(data$GMT_DateTime),
format = "%Y-%m-%d",
origin = "1970-01-01", tz = "GMT")
rm(tmp) # final clean up
Data in dput() format.
data <-
structure(list(GMT_DateTime = c("2016/07/19 17:52:00", "2016/07/19 17:54:00",
"2016/07/19 17:55:00", "2016/07/19 17:56:00", "07/22/2016 17:02",
"07/23/2016 17:15"), northing = c(3674.64416424279, 3674.65121597935,
3674.65474186293, 3674.65826775671, 3674.662, 3674.665), easting = c(354.266660979476,
354.246972537617, 354.237128326737, 354.227284122559, 354.2702,
354.3123)), row.names = c(NA, -6L), class = "data.frame")
I have an instrument that exports data in an unruly time format. I need to combine the date and time vectors into a new datetime vector in the following POSIXct format: %Y-%m-%d %H:%M:%S. Out of curiosity, I attempted to do this in three different ways, using as.POSIXct(), strftime(), and strptime(). When using my example data below, only the as.POSIXct() and strftime() functions work, but I am curious as to why strptime() is producing NAs? Also, I cannot convert the strftime() output into a POSIXct object using as.POSIXct()...
When trying these same functions on my real data (of which I've only provided you with the first for rows), I am running into an entirely different problem. Only the strftime() function is working. For some reason the as.POSIXct() function is also producing NAs, which is the only command I actually need for converting my datetime into a POSIXct object...
It seems like there are subtle differences between these functions, and I want to know how to use them more effectively. Thanks!
Reproducible Example:
## Creating dataframe:
date <- c("2017-04-14", "2017-04-14","2017-04-14","2017-04-14")
time <- c("14:24:24.992000","14:24:25.491000","14:24:26.005000","14:24:26.511000")
value <- c("4.106e-06","4.106e-06","4.106e-06","4.106e-06")
data <- data.frame(date, time)
data <- data.frame(data, value) ## I'm sure there is a better way to combine three vectors...
head(data)
## Creating 3 different datetime vectors:
## This works in my example code, but not with my real data...
data$datetime1 <- as.POSIXct(paste(data$date, data$time), format = "%Y-%m-%d %H:%M:%S",tz="UTC")
class(data$datetime1)
## This is producing NAs, and I'm not sure why:
data$datetime2 <- strptime(paste(data$date, data$time), format = "%Y-%m-%d %H:%M%:%S", tz = "UTC")
class(data$datetime2)
## This is working just fine
data$datetime3 <- strftime(paste(data$date, data$time), format = "%Y-%m-%d %H:%M%:%S", tz = "UTC")
class(data$datetime3)
head(data)
## Since I cannot get the as.POSIXct() function to work with my real data, I tried this workaround. Unfortunately I am running into trouble...
data$datetime4 <- as.POSIXct(x$datetime3, format = "%Y-%m-%d %H:%M%:%S", tz = "UTC")
Link to real data:
here
Example using real_data.txt:
## Reading in the file:
fpath <- "~/real_data.txt"
x <- read.csv(fpath, skip = 1, header = FALSE, sep = "", stringsAsFactors = FALSE)
names(x) <- c("date","time","bscat","scat_coef","pressure_mbar","temp_K","CH1","CH2") ## This is data from a Radiance Research Integrating Nephelometer Model M903 for anyone who is interested!
## If anyone could get this to work that would be awesome!
x$datetime1 <- as.POSIXct(paste(x$date, x$time), format = "%Y-%m-%d %H:%M%:%S", tz = "UTC")
## This still doesn't work...
x$datetime2 <- strptime(paste(x$date, x$time), format = "%Y-%m-%d %H:%M%:%S", tz = "UTC")
## This works:
x$datetime3 <- strftime(paste(x$date, x$time), format = "%Y-%m-%d %H:%M%:%S", tz = "UTC")
## But I cannot convert from strftime character to POSIXct object, so it doesn't help me at all...
x$datetime4 <- as.POSIXct(x$datetime3, format = "%Y-%m-%d %H:%M%:%S", tz = "UTC")
head(x)
Solution:
I was not providing the as.POSIXct() function with the correct format string. Once I changed %Y-%m-%d %H:%M%:%S to %Y-%m-%d %H:%M:%S, the data$datetime2, data$datetime4, x$datetime1 and x$datetime2 were working properly! Big thanks to PhilC for debugging!
For your real data issue replace the %m% with %m:
## Reading in the file:
fpath <- "c:/r/data/real_data.txt"
x <- read.csv(fpath, skip = 1, header = FALSE, sep = "", stringsAsFactors = FALSE)
names(x) <- c("date","time","bscat","scat_coef","pressure_mbar","temp_K","CH1","CH2") ## This is data from a Radiance Research Integrating Nephelometer Model M903 for anyone who is interested!
## issue was the %m% - fixed
x$datetime1 <- as.POSIXct(paste(x$date, x$time), format = "%Y-%m-%d %H:%M:%S", tz = "UTC")
## Here too - fixed
x$datetime2 <- strptime(paste(x$date, x$time), format = "%Y-%m-%d %H:%M:%S", tz = "UTC")
head(x)
There was a format string error causing the NAs; try this:
## This is no longer producing NAs:
data$datetime2 <- strptime(paste(data$date, data$time), format = "%Y-%m-%d %H:%M:%S",tz="UTC")
class(data$datetime2)
Formatting to "%Y-%m-%d %H:%M:%OS" is a generic view. To make the fractional seconds to a specific number of decimals call the option for degits.sec, e.g.:
options(digits.secs=6) # This will take care of seconds up to 6 decimal points
data$datetime1 <- lubridate::parse_date_time(data$datetime, "%Y-%m-%d %H:%M:%OS")