Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
How to remove line numbers from data.table object in R?
To remove line numbers from data.table object in R, we can set row.names to FALSE and print the data.table object.
For Example, if we have a data.table object called DT then we can remove line numbers from DT by using the command given below −
print(DT,row.names=FALSE)
Example 1
To load data.table object and create an object use the following snippet to create a data frame −
library(data.table) x1<-rnorm(20) x2<-rnorm(20) DT1<-data.table(x1,x2) DT1
The following dataframe is created
x1 x2 1: -0.02658483 0.169448948 2: -1.43115388 -0.864877686 3: -0.50281119 -0.700596497 4: 1.38780360 -1.897366568 5: 0.35763631 0.478451912 6: -0.35764002 0.214175540 7: -0.20389025 -0.169978581 8: 1.57441418 -1.869871317 9: -0.55489836 0.619942102 10: -2.00224453 -0.915234113 11: -0.75488901 0.533122831 12: -0.78726955 0.905360849 13: 0.12579643 -0.938330049 14: -0.63961706 -0.239780606 15: -1.94153891 0.001229949 16: -0.19457437 0.376066187 17: 1.59071927 0.348293746 18: 0.12191501 0.857503511 19: -0.67102720 0.799023371 20: -0.04910786 0.450912525
To remove row numbers from DT1 add the following code to the above snippet −
library(data.table) x1<-rnorm(20) x2<-rnorm(20) DT1<-data.table(x1,x2) print(DT1,row.names=FALSE)
Output
If you execute all the above given snippets as a single program, it generates the following Output −
x1 x2 -0.02658483 0.169448948 -1.43115388 -0.864877686 -0.50281119 -0.700596497 1.38780360 -1.897366568 0.35763631 0.478451912 -0.35764002 0.214175540 -0.20389025 -0.169978581 1.57441418 -1.869871317 -0.55489836 0.619942102 -2.00224453 -0.915234113 -0.75488901 0.533122831 -0.78726955 0.905360849 0.12579643 -0.938330049 -0.63961706 -0.239780606 -1.94153891 0.001229949 -0.19457437 0.376066187 1.59071927 0.348293746 0.12191501 0.857503511 -0.67102720 0.799023371 -0.04910786 0.450912525
Example 2
Following snippet creates a sample data frame −
y1<-rpois(20,1) y2<-rpois(20,5) y3<-rpois(20,2) DT2<-data.table(y1,y2,y3) DT2
The following dataframe is created
y1 y2 y3 1: 1 1 2 2: 1 9 4 3: 2 8 1 4: 3 6 0 5: 1 5 2 6: 1 5 2 7: 0 3 1 8: 1 6 4 9: 0 1 4 10: 0 8 5 11: 1 9 1 12: 0 1 2 13: 0 7 2 14: 1 9 2 15: 1 6 3 16: 0 5 3 17: 0 9 2 18: 0 3 0 19: 1 4 0 20: 1 3 3
To remove row numbers from DT2 on the above created data frame, add the following code to the above snippet −
y1<-rpois(20,1) y2<-rpois(20,5) y3<-rpois(20,2) DT2<-data.table(y1,y2,y3) print(DT2,row.names=FALSE)
Output
If you execute all the above given snippets as a single program, it generates the following Output −
y1 y2 y3 1 1 2 1 9 4 2 8 1 3 6 0 1 5 2 1 5 2 0 3 1 1 6 4 0 1 4 0 8 5 1 9 1 0 1 2 0 7 2 1 9 2 1 6 3 0 5 3 0 9 2 0 3 0 1 4 0 1 3 3
2K+ Views
