本文介绍了从日期序列中删除leap日的处理方法,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
我正在尝试从日期序列中删除leap日,但是,我遇到了错误.请帮忙.
I am trying to remove leap day from my date sequence, however, I am getting error. Please help.
Dates=as.data.frame(seq(as.Date("1979-01-01"), to=as.Date("2016-12-31"),by="days"))
names(Dates)= "Dates"
Dates$year=as.numeric(format(Dates$Dates, "%Y"))
Dates$month=as.numeric(format(Dates$Dates, "%m"))
Dates$day=as.numeric(format(Dates$Dates, "%d"))
if [(Dates$month == 2 & Dates$day == 29)]
Dates=Dates[]
没有leap日的日期序列
Date sequence with no leap day
推荐答案
使用各种软件包,您将在这里得到很多答案,但是您可以使用base R和 format()
>功能.您提取月份和日期,然后使用否定来排除leap日:
You'll get plenty of answers here with a variety of packages, but you can do this with base R and the format()
function. You extract the month and day and then use negation to exclude the leap dates:
myDates <- myDates[!(format(myDates$Dates,"%m") == "02" & format(myDates$Dates, "%d") == "29"), , drop = FALSE]
format()
返回字符,因此我们需要在引号中加上"02"
和"29"
.
format()
returns characters, so thus we need to put "02"
and "29"
in quotes.
在评论中解决问题
上面的代码完全符合您的要求:
The code above does precisely what you are asking:
myDates=data.frame(seq(as.Date("1979-01-01"), to=as.Date("2016-12-31"),by="days"))
names(myDates)= "Dates"
nrow(myDates)
#> [1] 13880
myDates <- myDates[!(format(myDates$Dates,"%m") == "02" & format(myDates$Dates, "%d") == "29"), ,drop = FALSE]
nrow(myDates)
#> [1] 13870
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