Skip to content
Related Articles

Related Articles

Improve Article

List of Dataframes in R

  • Last Updated : 01 Jul, 2021

DataFrames are generic data objects of R which are used to store the tabular data. They are two-dimensional, heterogeneous data structures. A list in R, however, comprises of elements, vectors, data frames, variables, or lists that may belong to different data types. In this article, we will study how to create a list consisting of data frames as its components and how to access, modify, and delete these data frames to lists. list() function in R creates a list of the specified arguments. The data frames specified as arguments in this function may have different lengths.
Operations that can be performed on a list of DataFrames are:
 

  • Creating a list of Dataframes
  • Accessing components of a list of Dataframes
  • Modifying components of a list of Dataframes
  • Concatenation of lists of Dataframes
  • Deleting components of a list of Dataframes

 

Creating a list of Dataframes

To create a list of Dataframes we use the list() function in R and then pass each of the data frame you have created as arguments to the function.
Example: 
 

Python3




# R program to create list of data frames
 
# Create dataframe
df1 = data.frame(
  y1 = c(1, 2, 3),
  y2 = c(4, 5, 6)
)
 
# Create another dataframe
df2 = data.frame(
  y1 = c(7, 8, 9),
  y2 = c(1, 4, 6)
)
 
# Create list of data frame using list()
listOfDataframe = list(df1, df2)
print(listOfDataframe)

Output: 
 



  [[1]]
  y1 y2
1  1  4
2  2  5
3  3  6

[[2]]
  y1 y2
1  7  1
2  8  4
3  9  6

 

Accessing components of a list of Dataframes

We can access components of a list of data frames in two ways.
 

  • Access components by names: All the components of a list of data frames can be named and we can use those names to access the components of the list using the dollar command. 
    Example: 
     

Python3




# R program to access components
# of a list of data frames
 
# Create dataframe
df1 = data.frame(
  y1 = c(1, 2, 3),
  y2 = c(4, 5, 6)
)
 
# Create another dataframe
df2 = data.frame(
  y1 = c(7, 8, 9),
  y2 = c(1, 4, 6)
)
 
# Creating a list of data frames
# by naming all its components
listOfDataframe = list(
  "Dataframe1" = df1,
  "Dataframe2" = df2
)
print(listOfDataframe)
 
# Accessing components by names
cat("Accessing Dataframe2 using $ command\n")
print(listOfDataframe$Dataframe2)
  • Output: 
     
$Dataframe1
  y1 y2
1  1  4
2  2  5
3  3  6

$Dataframe2
  y1 y2
1  7  1
2  8  4
3  9  6

Accessing Dataframe2 using $ command
  y1 y2
1  7  1
2  8  4
3  9  6
  •  
  • Access components by indices: We can also access the components of the list of data frames using indices. To access the top-level components of a list of data frames we have to use a double slicing operator “[[ ]]” which is two square brackets and if we want to access the lower or inner level components of a list we have to use another square bracket “[ ]” along with the double slicing operator “[[ ]]”. 
    Example: 
     

Python3




# R program to access components
# of a list of data frames
 
# Create dataframe
df1 = data.frame(
  y1 = c(1, 2, 3),
  y2 = c(4, 5, 6)
)
 
# Create another dataframe
df2 = data.frame(
  y1 = c(7, 8, 9),
  y2 = c(1, 4, 6)
)
 
# Creating a list of data frames
# by naming all its components
listOfDataframe = list(
  "Dataframe1" = df1,
  "Dataframe2" = df2
)
print(listOfDataframe)
 
# Accessing a top level components by indices
cat("Accessing Dataframe2 using indices\n")
print(listOfDataframe[[2]])
 
# Accessing a inner level components by indices
cat("Accessing second column from Dataframe1 using indices\n")
print(listOfDataframe[[1]][2])
 
# Accessing another inner level components by indices
cat("Accessing 4 from Dataframe2 using indices\n")
# Here [2, 2] represents that I want
# to access element from second row and second column i.e 4 here
print(listOfDataframe[[2]][2, 2])
  • Output: 
     
$Dataframe1
  y1 y2
1  1  4
2  2  5
3  3  6

$Dataframe2
  y1 y2
1  7  1
2  8  4
3  9  6

Accessing Dataframe2 using indices
  y1 y2
1  7  1
2  8  4
3  9  6

Accessing second column from Dataframe1 using indices
  y2
1  4
2  5
3  6

Accessing 4 from Dataframe2 using indices
[1] 4
  •  

 

Modifying components of a list of Dataframes

A list of data frames can also be modified by accessing the components and replacing them with the ones which you want. 
Example: 
 

Python3




# R program to modify components
# of a list of data frames
 
# Create dataframe
df1 = data.frame(
  y1 = c(1, 2, 3),
  y2 = c(4, 5, 6)
)
 
# Create another dataframe
df2 = data.frame(
  y1 = c(7, 8, 9),
  y2 = c(1, 4, 6)
)
 
# Creating a list of data frames
# by naming all its components
listOfDataframe = list(
  "Dataframe1" = df1,
  "Dataframe2" = df2
)
cat("Before modifying the list of data frame\n")
print(listOfDataframe)
 
 
# Modifying the dataframe2
listOfDataframe$Dataframe2 = data.frame(
  y1 = c(70, 80, 9),
  y2 = c(14, 41, 63)
)
 
# Modifying second column from Dataframe1
listOfDataframe[[1]][2] = c(23, 45, 67)
 
# Modifying element 2 from dataframe1
listOfDataframe[[1]][2, 1] = 15
 
cat("After modified the list of data frame\n")
print(listOfDataframe)

Output: 
 



Before modifying the list of data frame
$Dataframe1
  y1 y2
1  1  4
2  2  5
3  3  6

$Dataframe2
  y1 y2
1  7  1
2  8  4
3  9  6

After modified the list of data frame
$Dataframe1
  y1 y2
1  1 23
2 15 45
3  3 67

$Dataframe2
  y1 y2
1 70 14
2 80 41
3  9 63

 

Concatenation of lists of Dataframes

Two lists of data frames can be concatenated using the concatenation function. So, when we want to concatenate two lists of data frames we have to use the concatenation operator. 
Syntax: 
 

list = c(list, list1)
list = the original list of the data frame 
list1 = the new list of the data frame
 

Example: 
 

Python3




# R program concatenation 
# of lists of data frames
 
# Create dataframe
df1 = data.frame(
  y1 = c(1, 2, 3),
  y2 = c(4, 5, 6)
)
 
# Create another dataframe
df2 = data.frame(
  y1 = c(7, 8, 9),
  y2 = c(1, 4, 6)
)
 
# Creating a list of data frames
# by naming all its components
listOfDataframe = list(
  "Dataframe1" = df1,
  "Dataframe2" = df2
)
cat("Before concatenation of the new list of data frame\n")
print(listOfDataframe)
 
# Creating another one list of data frame
df3 = data.frame(
  y1 = c(7, 8, 98),
  y2 = c(10, 44, 6)
)
newListOfDataframe = list(
  "Dataframe3" = df3
  )
 
# Concatenation of list of data frames
# using concatenation operator
listOfDataframe = c(listOfDataframe, newListOfDataframe)
 
cat("After concatenation of the new list of data frame\n")
print(listOfDataframe)

Output: 
 

Before concatenation of the new list of data frame
$Dataframe1
  y1 y2
1  1  4
2  2  5
3  3  6

$Dataframe2
  y1 y2
1  7  1
2  8  4
3  9  6

After concatenation of the new list of data frame
$Dataframe1
  y1 y2
1  1  4
2  2  5
3  3  6

$Dataframe2
  y1 y2
1  7  1
2  8  4
3  9  6

$Dataframe3
  y1 y2
1  7 10
2  8 44
3 98  6

 

Deleting components from a list of Dataframes

To delete components of a list of data frames, first of all, we need to access those components and then insert a negative sign before those components. It indicates that we had to delete that component. 
Example: 
 

Python3




# R program to delete components 
# of a list of data frames
 
# Create dataframe
df1 = data.frame(
  y1 = c(1, 2, 3),
  y2 = c(4, 5, 6)
)
 
# Create another dataframe
df2 = data.frame(
  y1 = c(7, 8, 9),
  y2 = c(1, 4, 6)
)
 
# Creating a list of data frames
# by naming all its components
listOfDataframe = list(
  "Dataframe1" = df1,
  "Dataframe2" = df2
)
cat("Before deletion the list is\n")
print(listOfDataframe)
 
# Deleting a top level components
cat("After Deleting Dataframe1\n")
print(listOfDataframe[[-1]])
 
# Deleting a inner level components
cat("After Deleting first column from Dataframe2\n")
print(listOfDataframe[[2]][-1])

Output: 
 

Before deletion the list is
$Dataframe1
  y1 y2
1  1  4
2  2  5
3  3  6

$Dataframe2
  y1 y2
1  7  1
2  8  4
3  9  6

After Deleting Dataframe1
  y1 y2
1  7  1
2  8  4
3  9  6
After Deleting first column from Dataframe2
  y2
1  1
2  4
3  6

 




My Personal Notes arrow_drop_up
Recommended Articles
Page :