本文介绍了R-如何将一个空的POSIXct列添加到已经存在的data.frame / tibble中?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
我可以使用以下代码用POSIXct列初始化数据帧:
I can initialize a data frame with a POSIXct column with code like this:
df <- data.frame(a=numeric(), b=character(), c=as.POSIXct(character()))
但是,如果我尝试将一个空的POSIXct列添加到已经存在的data.frame或tibble中,则该列将转换为数字类型/类。
However, if I try to add an empty POSIXct column to a data.frame or tibble which already exists, the column is transformed to numeric type/class.
> df <- tibble("Index"=numeric(10))
> df[,"date"] <- as.POSIXct(character())
> df[,"date"] %>% pull %>% class()
[1] "numeric
是否有一种方法可以解决此问题?
Is there a method to overcome this problem?
推荐答案
将为您完成这项工作(大多数情况下是做什么的) eipi10在)
would this work for you (most doing what eipi10 suggest in his comment)
library(tibble) # install.packages(c("dplyr"), dependencies = TRUE)
df <- tibble(a = 1:3, b = letters[a], c = as.POSIXct(NA))
df
#> # A tibble: 3 x 3
#> a b c
#> <int> <chr> <dttm>
#> 1 1 a NA
#> 2 2 b NA
#> 3 3 c NA
str(df)
#> Classes ‘tbl_df’, ‘tbl’ and 'data.frame':
#> 3 obs. of 3 variables:
#> $ a: int 1 2 3
#> $ b: chr "a" "b" "c"
#> $ c: POSIXct, format: NA NA ...
或者也许
df <- tibble(a = numeric(), b = character(), c = as.POSIXct(NA))
str(df)
#> Classes ‘tbl_df’, ‘tbl’ and 'data.frame':
#> 0 obs. of 3 variables:
#> $ a: num
#> $ b: chr
#> $ c:Classes 'POSIXct', 'POSIXt' num(0)
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