Assume you have dataframe and the result for swapping last two rows,
Before swapping Name Age Maths Science English 0 David 13 98 75 79 1 Adam 12 59 96 45 2 Bob 12 66 55 70 3 Alex 13 95 49 60 4 Serina 12 70 78 80 After swapping Name Age Maths Science English 0 David 13 98 75 79 1 Adam 12 59 96 45 2 Bob 12 66 55 70 3 Serina 12 70 78 80 4 Alex 13 95 49 60
Solution
To solve this, we will follow the approach given below −
Define a dataframe
Create temp data to store last row. It is defined below,
temp = df.iloc[-1]
Swap second row values to first row and assign temp data to second row. It is defined below,
df.iloc[-1] = df.iloc[-2] df.iloc[-2] = temp
Example
Let’s see the below implementation to get better understanding −
import pandas as pd
data = {'Name': ['David', 'Adam', 'Bob', 'Alex', 'Serina'],
'Age' : [13,12,12,13,12],
'Maths': [98, 59, 66, 95, 70],
'Science': [75, 96, 55, 49, 78],
'English': [79, 45, 70, 60, 80]}
df = pd.DataFrame(data)
print("Before swapping\n",df)
temp = df.iloc[-1]
df.iloc[-1] = df.iloc[-2]
df.iloc[-2] = temp
print("After swapping\n",df)Output
Before swapping Name Age Maths Science English 0 David 13 98 75 79 1 Adam 12 59 96 45 2 Bob 12 66 55 70 3 Alex 13 95 49 60 4 Serina 12 70 78 80 After swapping Name Age Maths Science English 0 David 13 98 75 79 1 Adam 12 59 96 45 2 Bob 12 66 55 70 3 Serina 12 70 78 80 4 Alex 13 95 49 60