This question already has answers here:
Extract month and year from a zoo::yearmon object
(7 answers)
Extract Month and Year From Date in R
(5 answers)
Closed 2 years ago.
I need help to convert the first column of datetime in 3 letter month and year.
DF<-
Datetime ID Name
2020-01-01 10:12:14 I-1 Rnad
2020-01-01 16:32:43 I-2 Rnxa
Required output
Datetime ID Name Month
2020-01-01 10:12:14 I-1 Rnad Jan-20
2020-01-01 16:32:43 I-2 Rnxa Jan-20
You can use the format function with strptime abbreviations.
my_df$Month <- format(my_df$Datetime, format = "%b-%y")
Try this Sophia:
#Code
df$Month <- format(as.POSIXct(df$Datetime,format='%Y-%m-%d %H:%M:%S',
tz = 'GMT'),"%b-%y")
Output:
df
Datetime ID Name Month
1 2020-01-01 10:12:14 I-1 Rnad Jan-20
2 2020-01-01 16:32:43 I-2 Rnxa Jan-20
Some data used:
#Data
df <- structure(list(Datetime = c("2020-01-01 10:12:14", "2020-01-01 16:32:43"
), ID = c("I-1", "I-2"), Name = c("Rnad", "Rnxa")), row.names = c(NA,
-2L), class = "data.frame")
Related
I have a dataframe with dates from April 2020 to today, right now they are labelled 1 to 492 with 1 being the first date I have data on. I also have a list of dates in the format I want. How can I tell R that date 1 is april 12 2020, date 2 is april 13, 2020, and so on for each date? I'm ok either replacing the values in the column or creating a new column called real_date next to it.
Update:
Sorry I didn't describe this very well. I ended up making a look-up table with the date number and real date, and I used the inner_join function to add the real date to my dataframe.
library(tidyverse)
library(lubridate)
#Creating a sample data.frame
df <-
tibble(
dates = seq.Date(dmy("01/04/20"),today(),by = "1 day")
)
df %>%
#Format date, where: %B = month as string, %d numeric day and %y numeric year
mutate(
new_date = format(dates,"%B %d %Y")
)
*Abril is April in portuguese.
If I have understood the question correctly, you have a dataframe which has numbers from 1 to 492, now you want to change them to dates where number 1 is 12th April 2020, number 2 is 13th April 2020 and so on.
You can use as.Date to convert these numbers to date and pass the origin as 11th April.
df <- data.frame(date = 1:492)
df$real_date <- as.Date(df$date, origin = '2020-04-11')
head(df)
# date real_date
#1 1 2020-04-12
#2 2 2020-04-13
#3 3 2020-04-14
#4 4 2020-04-15
#5 5 2020-04-16
#6 6 2020-04-17
Just create a sequence of dates
data.frame(date = seq(as.Date('2020-04-12'), length.out = 492,
by = '1 day'), code = 1:492)
I have a column in my large data set called Date. How do I extract both the year and month from it? I would like to create a column Month where the month goes from 1-12 and year where the year goes from the first year in my data set to the last year in my data set.
Thanks.
> typeof(data$Date)
[1] "character
> head(data$Date)
[1] "2/06/2020 11:23" "12/06/2020 7:56" "12/06/2020 7:56" "29/06/2020 16:54" "3/06/2020 15:09" "25/06/2020 17:11"
dplyr and lubridate -
library(dplyr)
library(lubridate)
data <- data %>%
mutate(Date = dmy_hm(Date),
month = month(Date),
year = year(Date))
# Date month year
#1 2020-06-02 11:23:00 6 2020
#2 2020-06-12 07:56:00 6 2020
#3 2020-06-12 07:56:00 6 2020
#4 2020-06-29 16:54:00 6 2020
#5 2020-06-03 15:09:00 6 2020
#6 2020-06-25 17:11:00 6 2020
Base R -
data$Date <- as.POSIXct(data$Date, tz = 'UTC', format = '%d/%m/%Y %H:%M')
data <- transform(data, Month = format(Date, '%m'), Year = format(Date, '%Y'))
data
data <- structure(list(Date = c("2/06/2020 11:23", "12/06/2020 7:56",
"12/06/2020 7:56", "29/06/2020 16:54", "3/06/2020 15:09", "25/06/2020 17:11"
)), class = "data.frame", row.names = c(NA, -6L))
I have date's in a dataframe with corresponding sampling date as presented by the sample dataframe:
Date Temp
2016-06-11 5
2017-08-19 12
2018-01-21 13
2019-04-28 7
The date column is in numeric format currently. I want to convert the numeric month (i.e. 06) into its full name (i.e. June) but am having trouble with the conversion.
I did check the converting dates to names question but was confused by the select DATENAME.
You may simply use months(). Example:
d <- transform(d, date.m=months(v))
d
# date x date.m
# 1 2020-10-01 -1.1390886 October
# 2 2020-11-01 -0.6872151 November
# 3 2020-12-01 1.0632769 December
# 4 2021-01-01 1.7351265 January
Note: If your date is not of class "date" you also need to wrap as.Date:
d <- transform(d, date.m=months(as.Date(v)))
Data:
d <- structure(list(date = structure(c(18536, 18567, 18597, 18628), class = "Date"),
x = c(-1.13908860117162, -0.687215137639502, 1.06327693201579,
1.73512650928455)), class = "data.frame", row.names = c(NA,
-4L))
I have a data frame with dates and the time in it.
Now I want to convert each date into the correct month. How can I do this?
Now it looks like this:
1 01.01.2019 00:00:20.747000
2 21.04.2019 00:00:21.362000
3 31.08.2019 00:00:21.422000
I need it in a format like this:
1 01.01.2019
2 21.04.2019
3 31.08.2019
or eventually like this:
1 January
2 April
3 August
With base R, you can do the following.
First, I wasn't sure if initial data frame was in POSIXct format. I converted it for my example.
Then you can use format to extract the month number or month name.
lubridate is a great package to use for various date manipulations as well and has month function.
df$datetime <- as.POSIXct(df$datetime, format = "%d.%m.%Y %H:%M:%OS")
df$date_only <- as.Date(df$datetime)
df$month_num <- format(df$datetime, "%m")
df$month <- format(df$datetime, "%B")
df
Output
datetime date_only month_num month
1 2019-01-01 00:00:20 2019-01-01 01 January
2 2019-04-21 00:00:21 2019-04-21 04 April
3 2019-08-31 00:00:21 2019-08-31 08 August
Data
df <- structure(list(datetime = c("01.01.2019 00:00:20.747000", "21.04.2019 00:00:21.362000",
"31.08.2019 00:00:21.422000")), class = "data.frame", row.names = c(NA,
-3L))
Try:
df$date <- lubridate::dmy_hms(df$date)
df$date <- format(df$date, "%d.%m.%Y")
data:
df: structure(list(date = c("01.01.2019", "21.04.2019", "31.08.2019"
)), row.names = c(NA, -3L), class = "data.frame")
I have an issue when I use as.Date(as.yearqtr(test[,1],format ="%qQ%Y"),frac =1), but it returns an error,and quater-year didn't change to date. The error is:
error in as.yearqtr(as.numeric(x)) (list) object cannot be coerced to type 'double'
This is my dataframe in R.
TIME VALUE
1Q2019 1
2Q2019 2
3Q2019 3
4Q2019 4
The ideal output is
TIME VALUE
2019-03-31 1
2019-06-30 2
2019-09-30 3
2019-12-31 4
We can convert to Date with zoo and get the last date of the quarter with frac. We use some RegEx to rearrange in zoo's suitable format:
df$TIME=as.Date(as.yearqtr(gsub("(\\d)(Q)(\\d{1,})","\\3 Q\\1",df$TIME)),frac = 1)
df
TIME VALUE
1 2019-03-31 1
2 2019-06-30 2
3 2019-09-30 3
4 2019-12-31 4
Data:
df <-structure(list(TIME = structure(1:4, .Label = c("1Q2019", "2Q2019",
"3Q2019", "4Q2019"), class = "factor"), VALUE = 1:4), class = "data.frame", row.names = c(NA,
-4L))
Here is a function that will return a vector of dates, given an input vector in the form of 1Q2019...
dateStrings <- c("1Q2019","2Q2019","3Q2019","4Q2019","1Q2020")
lastDayOfQuarter <- function(x){
require(lubridate)
result <- NULL
months <-c(3,6,9,12)
days <- c(31,30,30,31)
for(i in 1:length(x)) {
qtr <- as.numeric(substr(x[i],1,1))
result[i] <- mdy(paste(months[qtr],days[qtr],(substr(x[i],3,6)),sep="-"))
}
as.Date(result)
}
lastDayOfQuarter(dateStrings)
and the output:
>lastDayOfQuarter(dateStrings)
[1] "2019-03-31" "2019-06-30" "2019-09-30" "2019-12-31" "2020-03-31"
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