How to Get the Last N Rows of a DataFrame in Pandas

 Dataframe tail method return last n rows of the dataframe.

 

Example

df.tail()

 

If you do not pass any argument to the tail method, then it return last 5 row.

 

df.tail(3)

Above snippet return last 3 rows.

 

For negative values of `n`, this function returns all rows except the first `n` rows.

except_first_2_rows = df.tail(-2)

 

Find the below working application.

 

last_n_rows.py

import pandas as pd

# Create a sample DataFrame
data = {'Name': ['Krishna', 'Ram', 'Joel', 'Gopi', 'Jitendra', "Raj"],
        'Age': [34, 25, 29, 41, 52, 23],
        'City': ['Bangalore', 'Chennai', 'Hyderabad', 'Hyderabad', 'Bangalore', 'Chennai']}

df = pd.DataFrame(data)

last_5_rows = df.tail()
print("last_5_rows : \n", last_5_rows)

last_3_rows = df.tail(3)
print("\nlast_3_rows : \n", last_3_rows)

except_first_2_rows = df.tail(-2)
print("\nexcept_first_2_rows : \n", except_first_2_rows)

 

Output

last_5_rows : 
        Name  Age       City
1       Ram   25    Chennai
2      Joel   29  Hyderabad
3      Gopi   41  Hyderabad
4  Jitendra   52  Bangalore
5       Raj   23    Chennai

last_3_rows : 
        Name  Age       City
3      Gopi   41  Hyderabad
4  Jitendra   52  Bangalore
5       Raj   23    Chennai

except_first_2_rows : 
        Name  Age       City
2      Joel   29  Hyderabad
3      Gopi   41  Hyderabad
4  Jitendra   52  Bangalore
5       Raj   23    Chennai

 

  

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