Pandas: Remove last n rows of a given DataFrame

Last update on May 01 2025 12:54:26 (UTC/GMT +8 hours)

63. Remove Last n Rows

Write a Pandas program to remove last n rows of a given DataFrame.

Sample Solution :

Python Code :

import pandas as pd
d = {'col1': [1, 2, 3, 4, 7, 11], 'col2': [4, 5, 6, 9, 5, 0], 'col3': [7, 5, 8, 12, 1,11]}
df = pd.DataFrame(data=d)
print("Original DataFrame")
print(df)
print("\nAfter removing last 3 rows of the said DataFrame:")
df1 = df.iloc[:3]
print(df1)

Sample Output:

Original DataFrame
   col1  col2  col3
0     1     4     7
1     2     5     5
2     3     6     8
3     4     9    12
4     7     5     1
5    11     0    11

After removing last 3 rows of the said DataFrame:
   col1  col2  col3
0     1     4     7
1     2     5     5
2     3     6     8

For more Practice: Solve these Related Problems:

Write a Pandas program to drop the last n rows of a DataFrame using negative indexing and then reset the index.
Write a Pandas program to remove the final n rows and then display summary statistics for the remaining data.
Write a Pandas program to eliminate the last n records and then export the truncated DataFrame to a new CSV file.
Write a Pandas program to remove the bottom n rows and then verify the removal by comparing the row counts before and after.

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Python-Pandas Code Editor:

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