问题
I use mainly tables in the tibble fromat from tidyverse
, but for some steps, I use the data.table
package. I want to see what is the best way of converting a data.table back to tibble?
I understand that data.table
has some clever function setDT and setDF function, that convert from data.frame to data.table (and vice-versa) by reference, i.e. without making a copy.
But what if I wanted to convert back to tibble? Am I copying the data using as_tibble
on the data.frame resulting from setDT()
? Is there a clever way to use this, maybe using the setattr()
from data.table
?
library(data.table)
library(tidyverse)
iris_tib <- as_tibble(iris)
## some data.table operation
setDT(iris_tib)
setkey(iris_tib, Species)
iris_tib[, Sepal.Length.Mean := mean(Sepal.Length), by = Species]
## How to convert back to tibble efficiently?
setDF(iris_tib)
iris_tib_back <- as_tibble(iris_tib)
## it looks like we were able to update by reference? Only rownames were (shallow) copied?
changes(iris_tib, iris_tib_back)
回答1:
As @Frank mentioned, this was discussed in a post here. One possibility is to use the setattr()
function, which set attributes by reference. Precisely:
setattr(x, "class", c("tbl", "tbl_df", "data.frame"))
And if there's a doubt about the original class:
old_class <- class(iris_tib)
setDT(iris_tib)
.... # bunch of data.table operatios
setDF(iris_tib)
setattr(iris_tib, "class", old_class)
This seems to do the necessary job converting back to a tibble.
来源:https://stackoverflow.com/questions/52431288/r-data-table-how-to-go-from-tibble-to-data-table-to-tibble-back