在R中将日期格式化为年月 [英] Format Date to Year-Month in R
本文介绍了在R中将日期格式化为年月的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我想将年月格式的当前日期列保留为日期.目前,它已转换为chr格式.我尝试了as_datetime,但将所有值强制为NA. 我正在寻找的格式是:"2017-01"
I would like to retain my current date column in year-month format as date. It currently gets converted to chr format. I have tried as_datetime but it coerces all values to NA. The format I am looking for is: "2017-01"
library(lubridate)
df<- data.frame(Date=c("2017-01-01","2017-01-02","2017-01-03","2017-01-04",
"2018-01-01","2018-01-02","2018-02-01","2018-03-02"),
N=c(24,10,13,12,10,10,33,45))
df$Date <- as_datetime(df$Date)
df$Date <- ymd(df$Date)
df$Date <- strftime(df$Date,format="%Y-%m")
提前谢谢!
推荐答案
lubridate
仅处理日期,并且日期为天.但是,就像alistaire所说的那样,您可以按每月要工作的月份对它们进行铺垫:
lubridate
only handle dates, and dates have days. However, as alistaire mentions, you can floor them by month of you want work monthly:
library(tidyverse)
df_month <-
df %>%
mutate(Date = floor_date(as_date(Date), "month"))
例如想要按月汇总,只需group_by()
和summarize()
.
If you e.g. want to aggregate by month, just group_by()
and summarize()
.
df_month %>%
group_by(Date) %>%
summarize(N = sum(N)) %>%
ungroup()
#> # A tibble: 4 x 2
#> Date N
#> <date> <dbl>
#>1 2017-01-01 59
#>2 2018-01-01 20
#>3 2018-02-01 33
#>4 2018-03-01 45
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