Pandas: Remove first n rows of a given DataFrame

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

62. Remove First n Rows

Write a Pandas program to remove first 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 first 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 first 3 rows of the said DataFrame:
   col1  col2  col3
3     4     9    12
4     7     5     1
5    11     0    11

For more Practice: Solve these Related Problems:

Write a Pandas program to drop the first n rows of a DataFrame using slicing and then reset the index.
Write a Pandas program to remove the first n rows and then output the remaining DataFrame with updated indices.
Write a Pandas program to exclude the first n records and then calculate the mean of a specific column on the remainder.
Write a Pandas program to remove the first n rows, then compare the shape of the original and updated DataFrame.

Go to:

Previous: Write a Pandas program to get topmost n records within each group of a DataFrame.
Next: Write a Pandas program to remove last n rows of a given DataFrame.

Python-Pandas Code Editor:

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