Drop multiple columns by using the column name
We can remove a column with select() method by its column name
Syntax:
select(dataframe,-c(column_name1,column_name2,.,column_name n)
Where, dataframe is the input dataframe and -c(column_names) is the collection of names of the column to be removed.
Example: R program to remove multiple columns by column name
R
# load the library library (dplyr) # create dataframe with 3 columns id, # name and address data1= data.frame (id= c (1,2,3,4,5,6,7,1,4,2), name= c ( 'sravan' , 'ojaswi' , 'bobby' , 'gnanesh' , 'rohith' , 'pinkey' , 'dhanush' , 'sravan' , 'gnanesh' , 'ojaswi' ), address= c ( 'hyd' , 'hyd' , 'ponnur' , 'tenali' , 'vijayawada' , 'vijayawada' , 'guntur' , 'hyd' , 'tenali' , 'hyd' )) # remove name and id column print ( select (data1,- c (id,name))) # remove name and address column print ( select (data1,- c (address,name))) # remove all column print ( select (data1,- c (address,name,id))) |
Output:
Drop multiple columns using Dplyr package in R
In this article, we will discuss how to drop multiple columns using dplyr package in R programming language.
Dataset in use: