Insert multiple rows in R DataFrame (original) (raw)

Last Updated : 8 Oct, 2021

In this article, we are going to see how to insert multiple rows in the dataframe in R Programming Language. First, let's create a DataFrame

To create a data frame we need to use vectors. We need to create vectors with some values and pass the vectors into data.frame() function as parameter. Thus, a data frame is created. Let us see an example that demonstrates the above statement.

Example 1:

R `

here num and branches are the vectors, ans those

are passed into data.frame() as parameters .

dataframe = data.frame(num=c(1:3),branches=c("IT","CSE","ECE"))

In this example we created vectors inside the

data frame() function and assigned values to vectors.

print(dataframe)

`

Output:

In the above example, we have created a data frame with vectors directly as parameters. We can create data frames with already created vectors. Let us see an example.

Steps to insert multiple rows into a data frame

1. Create a dataframe.
2. Create a vector that contains rows to be added to the dataframe.
3. Use the below method to add rows to the data frame.

Implementation :

The predefined function used to add multiple rows is rbind(). We have to pass a data frame and a vector having rows of data. So, let see the example code.

Indexing for a dataframe in R:

variable = df([ row,column ])

If we want to extract multiple rows we can put row numbers in a vector and pass that vector as a row or column. If we want to extract 3 rows and all columns we can put row numbers in a vector and leave the column empty. The below example demonstrates the above statement.

Example :

a = df1([ c(1,2,3) , ]) # here we left column as empty which means we want extract all columns

If we want to extract specific columns then we can put column numbers in a vector and pass as a parameter. The below example demonstrates the above statement.

Example :

b = df1( [ c(1,2,3) , c(1,2) ] )

This is how indexing works. Let us see rbind() function introduction and implementation for inserting multiple rows into a dataframe.

rbind() method: rbind means row bind. Joining multiple rows with dataframe.

Syntax: rbind(a, b)

Parameters:

• a = data frame
• b = data to be binded with data frame

Example 1 :

R `

creating a data frame

df1 = data.frame(num = c( 1 : 3), branch = c("IT", "CSE", "ECE"))

creating another data frame

df2 = data.frame(num = c( 4 : 6), branch = c("EEE", "Mechanical", "civil"))

selecting 1-2 rows , all columns from df1

new_row = df2[c(1, 2, 3),]

we can access data from a data frame through indexing .

since it is a 2 dimensional one we can access data

by row number and column number .

here c(1,2,3) represents row numbers and we left column

numbers as empty . then all columns are accessed .

new_row is appended to the df1

df1 = rbind(df1, new_row)

#printing updated data frame print(df1)

`

Output:

Example 2: Adding rows from 3 dataframe.

R `

creating one data frame

df1 = data.frame(num = c( 1 : 3 ), branch = c("IT", "CSE", "ECE"))

creating another data frame

df2=data.frame(num = c( 4 : 6 ), branch = c("Chemical", "Petroleum", "Food Technology"))

df3=data.frame(num = c( 7 : 9 ), branch = c("EEE", "Mechanical", "Civil"))

here we accessing 1-3 rows and all columns

from df2 and storing in new_row variable

new_row=df2[c(1, 2, 3),]

here also we are accessing 1-3 rows and all

columns and storing in new_row2 variable

new_row2=df3[c(1, 2, 3),]

passing data frame1 i.e., df1 and the new_row .

df1=rbind(df1, new_row)

passing data frame1 i.e., df1 and new_row2

df1=rbind(df1, new_row2)

Here values in new_row will be appended with df1 .

if we pass df2,new_row ,

the data in the nw_row will be appended with df2

print(df1) # printing df1

`

Output: