Pandas DataFrame – Delete rows before specific index

Pandas DataFrame – Delete rows before Specific Index

To delete rows before a specific index from a DataFrame, call DataFrame.truncate() function and pass the index value for the before parameter.

Syntax

The syntax to delete the rows before the index x from DataFrame df is

df.truncate(before=x)

Examples

1. Delete rows in DataFrame present before index=3

In this example, we take a DataFrame with five rows, and delete the rows present before the index 3 using DataFrame.truncate() function.

Python Program

import pandas as pd

df = pd.DataFrame({'name':['a', 'b', 'c', 'd', 'e'],
                   'age' :[20, 21, 20, 19, 21]})
result = df.truncate(before=3)
print(result)
Run Code Copy

Output

  name  age
3    d   19
4    e   21

Summary

In this Pandas Tutorial, we learned how to delete the rows present before specific index from a DataFrame.

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