data.frame의 두 열 사이에 열 추가 (삽입)
열 a, b 및 c가있는 데이터 프레임이 있습니다. b와 c 사이에 새 열 d를 추가하고 싶습니다.
cbind 를 사용하여 끝에 d를 추가 할 수 있다는 것을 알고 있지만 두 열 사이에 어떻게 삽입 할 수 있습니까?
난 당신이 기능을 사용하는 것이 좋습니다 것입니다 add_column()
으로부터 tibble
패키지로 제공된다.
library(tibble)
dataset <- data.frame(a = 1:5, b = 2:6, c=3:7)
add_column(dataset, d = 4:8, .after = 2)
열 인덱스 대신 열 이름을 사용할 수 있습니다.
add_column(dataset, d = 4:8, .after = "b")
또는 더 편리한 경우 .before
대신 인수 를 사용하십시오 .after
.
add_column(dataset, d = 4:8, .before = "c")
새 열에 추가하십시오.
df$d <- list/data
그런 다음 다시 정렬 할 수 있습니다.
df <- df[, c("a", "b", "d", "c")]
[를 사용하여 열을 재정렬하거나 원하는 순서로 열을 표시 할 수 있습니다.
d <- data.frame(a=1:4, b=5:8, c=9:12)
target <- which(names(d) == 'b')[1]
cbind(d[,1:target,drop=F], data.frame(d=12:15), d[,(target+1):length(d),drop=F])
a b d c
1 1 5 12 9
2 2 6 13 10
3 3 7 14 11
4 4 8 15 12
c
항상 바로 뒤에 오는 것으로 가정하면 b
이 코드는 data.frame의 b
위치 b
에 관계없이 뒤에 열을 추가합니다 .
> test <- data.frame(a=1,b=1,c=1)
> test
a b c
1 1 1 1
> bspot <- which(names(test)=="b")
> data.frame(test[1:bspot],d=2,test[(bspot+1):ncol(test)])
a b d c
1 1 1 2 1
또는 더 자연스럽게 :
data.frame(append(test, list(d=2), after=match("b", names(test))))
예제 data.frame을 만들고 여기에 열을 추가합니다.
df = data.frame(a = seq(1, 3), b = seq(4,6), c = seq(7,9))
df['d'] <- seq(10,12)
df
a b c d
1 1 4 7 10
2 2 5 8 11
3 3 6 9 12
열 인덱스로 재정렬
df[, colnames(df)[c(1:2,4,3)]]
또는 열 이름으로
df[, c('a', 'b', 'd', 'c')]
결과는
a b d c
1 1 4 10 7
2 2 5 11 8
3 3 6 12 9
열 x 및 y로 정의 된 이전 데이터 프레임 (old.df)에 z 열을 추가하려고합니다.
z = rbinom(1000, 5, 0.25)
old.df <- data.frame(x = c(1:1000), y = rnorm(1:1000))
head(old.df)
new.df라는 새 데이터 프레임을 정의하십시오.
new.df <- data.frame(x = old.df[,1], z, y = old.df[,2])
head(new.df)
그만한 가치를 위해 다음과 같은 함수를 작성했습니다.
[삭제됨]
이제이 함수를 before
및 after
기능으로 업데이트 하고 기본값 place
을 1로 설정했습니다. 또한 데이터 테이블 호환성이 있습니다.
#####
# FUNCTION: InsertDFCol(colName, colData, data, place = 1, before, after)
# DESCRIPTION: Takes in a data, a vector of data, a name for that vector and a place to insert this vector into
# the data frame as a new column. If you put place = 3, the new column will be in the 3rd position and push the current
# 3rd column up one (and each subsuquent column up one). All arguments must be set. Adding a before and after
# argument that will allow the user to say where to add the new column, before or after a particular column.
# Please note that if before or after is input, it WILL override the place argument if place is given as well. Also, place
# defaults to adding the new column to the front.
#####
InsertDFCol <- function(colName, colData, data, place = 1, before, after) {
# A check on the place argument.
if (length(names(data)) < place) stop("The place argument exceeds the number of columns in the data for the InsertDFCol function. Please check your place number")
if (place <= 0 & (!missing(before) | !(missing(after)))) stop("You cannot put a column into the 0th or less than 0th position. Check your place argument.")
if (place %% 1 != 0 & (!missing(before) | !(missing(after)))) stop("Your place value was not an integer.")
if (!(missing(before)) & !missing(after)) stop("You cannot designate a before AND an after argument in the same function call. Please use only one or the other.")
# Data Table compatability.
dClass <- class(data)
data <- as.data.frame(data)
# Creating booleans to define whether before or after is given.
useBefore <- !missing(before)
useAfter <- !missing(after)
# If either of these are true, then we are using the before or after argument, run the following code.
if (useBefore | useAfter) {
# Checking the before/after argument if given. Also adding regular expressions.
if (useBefore) { CheckChoice(before, names(data)) ; before <- paste0("^", before, "$") }
if (useAfter) { CheckChoice(after, names(data)) ; after <- paste0("^", after, "$") }
# If before or after is given, replace "place" with the appropriate number.
if (useBefore) { newPlace <- grep(before, names(data)) ; if (length(newPlace) > 1) { stop("Your before argument matched with more than one column name. Do you have duplicate column names?!") }}
if (useAfter) { newPlace <- grep(after, names(data)) ; if (length(newPlace) > 1) { stop("Your after argument matched with more than one column name. Do you have duplicate column names?!") }}
if (useBefore) place <- newPlace # Overriding place.
if (useAfter) place <- newPlace + 1 # Overriding place.
}
# Making the new column.
data[, colName] <- colData
# Finding out how to reorder this.
# The if statement handles the case where place = 1.
currentPlace <- length(names(data)) # Getting the place of our data (which should have been just added at the end).
if (place == 1) {
colOrder <- c(currentPlace, 1:(currentPlace - 1))
} else if (place == currentPlace) { # If the place to add the new data was just at the end of the data. Which is stupid...but we'll add support anyway.
colOrder <- 1:currentPlace
} else { # Every other case.
firstHalf <- 1:(place - 1) # Finding the first half on columns that come before the insertion.
secondHalf <- place:(currentPlace - 1) # Getting the second half, which comes after the insertion.
colOrder <- c(firstHalf, currentPlace, secondHalf) # Putting that order together.
}
# Reordering the data.
data <- subset(data, select = colOrder)
# Data Table compatability.
if (dClass[1] == "data.table") data <- as.data.table(data)
# Returning.
return(data)
}
CheckChoice도 포함하지 않았 음을 깨달았습니다.
#####
# FUNCTION: CheckChoice(names, dataNames, firstWord == "Oops" message = TRUE)
# DESCRIPTION: Takes the column names of a data frame and checks to make sure whatever "choice" you made (be it
# your choice of dummies or your choice of chops) is actually in the data frame columns. Makes troubleshooting easier.
# This function is also important in prechecking names to make sure the formula ends up being right. Use it after
# adding in new data to check the "choose" options. Set firstWord to the first word you want said before an exclamation point.
# The warn argument (previously message) can be set to TRUE if you only want to
#####
CheckChoice <- function(names, dataNames, firstWord = "Oops", warn = FALSE) {
for (name in names) {
if (warn == TRUE) { if(!(name %in% dataNames)) { warning(paste0(firstWord, "! The column/value/argument, ", name, ", was not valid OR not in your data! Check your input! This is a warning message of that!")) } }
if (warn == FALSE) { if(!(name %in% dataNames)) { stop(paste0(firstWord, "! The column/value/argument, " , name, ", was not valid OR not in your data! Check your input!")) } }
}
}
다음은 데이터 프레임의 특정 위치에 열을 삽입하는 빠르고 더러운 방법입니다. 내 경우, 나는 원래 데이터 프레임에서 5 열이 : c1, c2, c3, c4, c5
나는 새 열을 삽입합니다 c2b
사이 c2
와 c3
.
1) 먼저 테스트 데이터 프레임을 만듭니다.
> dataset <- data.frame(c1 = 1:5, c2 = 2:6, c3=3:7, c4=4:8, c5=5:9)
> dataset
c1 c2 c3 c4 c5
1 1 2 3 4 5
2 2 3 4 5 6
3 3 4 5 6 7
4 4 5 6 7 8
5 5 6 7 8 9
2) Add the new column c2b
at the end of our data frame:
> dataset$c2b <- 10:14
> dataset
c1 c2 c3 c4 c5 c2b
1 1 2 3 4 5 10
2 2 3 4 5 6 11
3 3 4 5 6 7 12
4 4 5 6 7 8 13
5 5 6 7 8 9 14
3) Reorder the data frame based on column indexes. In my case, I want to insert the new column (6) between existing columns 2 and 3. I do that by addressing the columns on my data frame using the vector c(1:2, 6, 3:5)
which is equivalent to c(1, 2, 6, 3, 4, 5)
.
> dataset <- dataset[,c(1:2, 6, 3:5)]
> dataset
c1 c2 c2b c3 c4 c5
1 1 2 10 3 4 5
2 2 3 11 4 5 6
3 3 4 12 5 6 7
4 4 5 13 6 7 8
5 5 6 14 7 8 9
There!
This function inserts one zero column between all pre-existent columns in a data frame.
insertaCols<-function(dad){
nueva<-as.data.frame(matrix(rep(0,nrow(daf)*ncol(daf)*2 ),ncol=ncol(daf)*2))
for(k in 1:ncol(daf)){
nueva[,(k*2)-1]=daf[,k]
colnames(nueva)[(k*2)-1]=colnames(daf)[k]
}
return(nueva)
}
Here is a an example of how to move a column from last to first position. It combines [
with ncol
. I thought it would be useful to have a very short answer here for the busy reader:
d = mtcars
d[, c(ncol(d), 1:(ncol(d)-1))]
You can use the append()
function to insert items into vectors or lists (dataframes are lists). Simply:
df <- data.frame(a=c(1,2), b=c(3,4), c=c(5,6))
df <- as.data.frame(append(df, list(d=df$b+df$c), after=2))
Or, if you want to specify the position by name use which
:
df <- as.data.frame(append(df, list(d=df$b+df$c), after=which(names(df)=="b")))
`
data1 <- data.frame(col1=1:4, col2=5:8, col3=9:12)
row.names(data1) <- c("row1","row2","row3","row4")
data1
data2 <- data.frame(col1=21:24, col2=25:28, col3=29:32)
row.names(data2) <- c("row1","row2","row3","row4")
data2
insertPosition = 2
leftBlock <- unlist(data1[,1:(insertPosition-1)])
insertBlock <- unlist(data2[,1:length(data2[1,])])
rightBlock <- unlist(data1[,insertPosition:length(data1[1,])])
newData <- matrix(c(leftBlock, insertBlock, rightBlock), nrow=length(data1[,1]), byrow=FALSE)
newData
`
R has no functionality to specify where a new column is added. E.g., mtcars$mycol<-'foo'
. It always is added as last column. Using other means (e.g., dplyr's select()
) you can move the mycol to a desired position. This is not ideal and R may want to try to change that in the future.
You can do it like below -
df <- data.frame(a=1:4, b=5:8, c=9:12)
df['d'] <- seq(10,13)
df <- df[,c('a','b','d','c')]
Easy solution. In a data frame with 5 columns, If you want insert another column between 3 and 4...
tmp <- data[, 1:3]
tmp$example <- NA # or any value.
data <- cbind(tmp, data[, 4:5]
df <- data.frame(a=c(1,2), b=c(3,4), c=c(5,6))
df %>%
mutate(d= a/2) %>%
select(a, b, d, c)
results
a b d c
1 1 3 0.5 5
2 2 4 1.0 6
I suggest to use dplyr::select
after dplyr::mutate
. It has many helpers to select/de-select subset of columns.
In the context of this question the order by which you select will be reflected in the output data.frame.
참고URL : https://stackoverflow.com/questions/13502601/add-insert-a-column-between-two-columns-in-a-data-frame
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