how to remove multiple columns in r dataframe?

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I am trying to remove some columns in a dataframe. I want to know why it worked for a single column but not with multible columns e.g. this works

album2[,5]<- NULL

this doesn't work

album2[,c(5:7)]<- NULL
Error in `[<-.data.frame`(`*tmp*`, , 5:7, value = NULL) : 
replacement has 0 items, need 600

This also doesn't work

for (i in 5: (length(album2)-1)){
 album2[,i]<- NULL
}
Error in `[<-.data.frame`(`*tmp*`, , i, value = NULL) : 
new columns would leave holes after existing columns

Basic subsetting:

album2 <- album2[, -5] #delete column 5
album2 <- album2[, -c(5:7)] # delete columns 5 through 7

R : Keep / Drop Columns from Data Frame, Method I :​​ The most easiest way to drop columns is by using subset() function. In the code below, we are telling R to drop variables x and z. The '-' sign indicates dropping variables. Make sure the variable names would NOT be specified in quotes when using subset() function. Delete Multiple Columns By Index. In similar to deleting a column of a data frame, to delete multiple columns of a data frame, we simply need to put all desired column into a vector and set them to NULL, for example, to delete the 2nd, 4th columns of the above data frame: children [c (2, 4)] <- list (NULL) 1.

Adding answer as this was the top hit when searching for "drop multiple columns in r":

The general version of the single column removal, e.g df$column1 <- NULL, is to use list(NULL):

df[ ,c('column1', 'column2')] <- list(NULL)

This also works for position index as well:

df[ ,c(1,2)] <- list(NULL)

This is a more general drop and as some comments have mentioned, removing by indices isn't recommended. Plus the familiar negative subset (used in other answers) doesn't work for columns given as strings:

> iris[ ,-c("Species")]
Error in -"Species" : invalid argument to unary operator

How can I drop columns by name in a data frame ?, How do I remove columns from a Dataframe in R? # delete multiple columns in r # delete column in R by mapping Null value to them dataset$firstcol <- dataset$nextcol <- dataset$anothercol <- NULL This can be used for removing columns in R, especially if you need to run “drop columns” on three to five at a time.

If you only want to remove columns 5 and 7 but not 6 try:

album2 <- album2[,-c(5,7)] #deletes columns 5 and 7

Examples of How To Add and Delete Columns From an R Dataframe, How do I remove a column by name in R? The most easiest way to drop columns is by using subset () function. In the code below, we are telling R to drop variables x and z. The '-' sign indicates dropping variables. Make sure the variable names would NOT be specified in quotes when using subset () function.

@Ahmed Elmahy following approach should help you out, when you have got a vector of column names you want to remove from your dataframe:

test_df <- data.frame(col1 = c("a", "b", "c", "d", "e"), col2 = seq(1, 5), col3 = rep(3, 5))
rm_col <- c("col2")
test_df[, !(colnames(test_df) %in% rm_col), drop = FALSE]

All the best, ExploreR

R Drop Columns in Dataframe - Dataframe Subsetting, If you needed to remove several columns from a data frame, consider using the following snippet. # delete multiple columns in r # delete column in R by mapping​  Hi there, I'm trying to remove multiple columns by name from a data.frame. As a result I need to get back the modified data.frame without the removed columns. My columns I want to delete are listed in a vector called "delete".

x <-dplyr::select(dataset_df, -c('coloumn1', 'column2'))

This works for me.

How to Remove a Column in R using dplyr (by name and index), In this tutorial, we will learn how to delete or drop a column or multiple columns from a dataframe in R programming with examples. You cannot actually delete a​  Where, as you can see, we have surgically removed observation 578 from the sample. How to Remove Rows in R (Multiple Rows) For larger data removals, it is generally easier to use the methods recommended for selecting a subset.

R help - remove multiple columns by name from dataframe, In conclusion, removing a column in R we have deleted multiple columns by name, and indexes. Furthermore, we have removed columns in R dataframes  In the second example on how to remove multiple columns, we are going to drop the columns from dataframe, in R, by indexes. Again, we use the c () function and put in the indexes we want to remove from the dataframe. code class="lang-r">select (starwars, -c (1, 2, 3)) Note, above code drops 1st, 2nd, and 3rd columns from the R dataframe.

Selecting and removing columns from R dataframes, remove multiple columns by name from dataframe. Hi there, I'm trying to remove multiple columns by name from a data.frame. As a result I need  In pandas, drop () function is used to remove column (s). axis=1 tells Python that you want to apply function on columns instead of rows. df.drop (['A'], axis=1) Column A has been removed. See the output shown below.

[R] remove multiple columns by name from dataframe, Selecting and removing columns from R dataframes. Richard Webster. Loading Unsubscribe Duration: 10:44 Posted: Apr 23, 2015 Notice that R starts with the first column name, and simply renames as many columns as you provide it with. In this example, since there are 11 column names and we only provided 4 column names, only the first 4 columns were renamed. To rename all 11 columns, we would need to provide a vector of 11 column names. Renaming Columns by Name Using Base R

Comments
  • Try album2[,5:7]<- list(NULL)
  • It would be great if you could supply a minimal reproducible example to go along with your question. Something we can work from and use to show you how it might be possible to answer your question. That way others can also befit form your question, and the accompanying answer, in the future. You can have a look at this SO post on how to make a great reproducible example in R.
  • @EricFail especially as, as far as I can tell, the first example "e.g. this works" doesn't actually work.
  • @doctorG using "list(NULL)" made it work with multiple columns , using NULL with a single column worked.i will take care of reproducibility in the future .
  • See my question here.
  • drop columns by their position is not recommended, at least for me.
  • Yes, and no. The OP was posed in context of specifying column positions. If you know the desired positions, then this is fine. For others to know if your comment is useful/relevant to them, could you add why you would not recommend it?
  • well, what if one adds a new column to his/her data then column position changed? I agree that your answer is correct, but it's neither safe nor efficient.
  • It's implicit you're at the point of knowing what column numbers you want. Getting to that point is up to you. Considering whether you're doing it interactively or programmatically (and thus what conditions you need to cope with) is also up to you.
  • Can you please explain why list(NULL) and not just NULL?