Apply Function to each Row in R DataFrame
In this article, we will discuss how to apply a function to each row in a data frame in R Programming Language. Let’s take an example for better understanding.
Example:
Suppose we have a dummy dataset with A, B, C as column names and some numeric value as rows.
| A | B | C |
---|---|---|---|
1. | 5 | 6 | 1 |
2. | 6 | 4 | 2 |
3. | 7 | 3 | 3 |
4. | 5 | 4 | 7 |
5. | 6 | 2 | 8 |
6. | 9 | 6 | 9 |
And we want to apply a function that will return the product of each row values, then the resultant data frame should look like this:
| A | B | C | product |
---|---|---|---|---|
1. | 5 | 6 | 1 | 60 |
2. | 6 | 4 | 2 | 48 |
3. | 7 | 3 | 3 | 63 |
4. | 5 | 4 | 7 | 140 |
5. | 6 | 2 | 8 | 96 |
6. | 9 | 6 | 9 | 486 |
Apply function to each row in R Data frame:
Approach: Using apply function
apply() is used to compute a function on a data frame or matrix. The purpose of using apply() function is to avoid the use of looping. apply() function returns output as a vector.
Syntax: apply(x, margin, func)
Parameters:
x: Array or matrix
margin: dimension on which operation is to be applied
func: operation to be applied
Stepwise implementation:
Step 1: Create a dummy dataset.
R
# Apply function to each row in r Dataframe # Creating dataset # creating firs column x <- c (5, 6, 7, 5, 6, 9) # creating second column y <- c (6, 4, 3, 4, 2, 6) # creating third column z <- c (1, 2, 3, 7, 8, 9) # creating dataframe df <- data.frame (A = x, B = y, C = z) display (df) |
Output:
A B C 1 5 6 1 2 6 4 2 3 7 3 3 4 5 4 7 5 6 2 8 6 9 6 9
Step 2: Create a custom function for calculating products.
R
# creating function to computer product product = function (x, output){ # accessing elements from first column A = x[1] # accessing elements from second column B=x[2] # accessing elements from third column C= x[3] # return product return (A*B*C) } |
Note: Here we are just defining the function for computing product and not calling, so there will be no output until we call this function.
Step 3: Use apply the function to compute the product of each row.
Syntax: (data_frame, 1, function,…)
Now we are calling the newly created product function and returns the product using apply function.
R
# apply(X,MARGIN,FUN,...) apply (df,1,product ) |
Output:
[1] 30 48 63 140 96 486
Note: apply() return product as a vector list. So we have to add it to the data frame using cbind (column bind).
Step 4: Append product list to the data frame.
R
# apply(X,MARGIN,FUN,...) single <- apply (df,1,product ) # adding product vector to dataframe cbind (df,product = single) |
Output:
Below is the full implementation:
Python3
# Apply function to each row in r Dataframe # Creating dataset # creating firs column x < - c( 5 , 6 , 7 , 5 , 6 , 9 ) # creating second column y < - c( 6 , 4 , 3 , 4 , 2 , 6 ) # creating third column z < - c( 1 , 2 , 3 , 7 , 8 , 9 ) # creating dataframe df < - data.frame(A = x,B = y,C = z) # creating function to computer product product = function(x,output){ # accessing elements from first column A = x[ 1 ] # accessing elements from second column B = x[ 2 ] # accessing elements from third column C = x[ 3 ] # return product return (A * B * C) } # apply(X,MARGIN,FUN,...) apply (df, 1 ,product ) # apply(X,MARGIN,FUN,...) single < - apply (df, 1 ,product ) # adding product vector to dataframe cbind(df,product = single) |
Output: