nlargest method in Pandas

In pandas, the nlargest() method are used to retrieve the first n rows from a DataFrame or Series based on the largest values in one or more columns.

Syntax DataFrame.nlargest(n, columns, keep='first')

The function has the following parameters:

• n: Number of items to retrieve.
• columns: Column label(s) to order by.
• keep: Which duplicates to keep ('first', 'last', or 'all').

Example: With DataFrame.

Python

import pandas as pd

# Sample DataFrame
df = pd.DataFrame({
    'Name': ['Ashish', 'Harsha', 'Chahat', 'Dyna', 'Elina'],
    'Score': [85, 92, 88, 95, 90]
})

# Top 3 highest scores
top_scores = df.nlargest(3, 'Score')

print("Top 3 scores:\n", top_scores)

The output of the above code is shown below:

• For Series:

Python

s = pd.Series([10, 40, 30, 20])

s.nlargest(2)     # Returns 2 largest values

The output of the above code is shown below: