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Python | Pandas DataFrame.nlargest() - GeeksforGeeks

Last Updated : 11 Jul, 2025

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages.

is one of those packages and makes importing and analyzing data much easier. Pandas

method is used to get n largest values from a data frame or a series.

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

n: int, Number of values to select columns: Column to check for values or user can select column while calling too. [For example: data["age"].nsmallest(3) OR data.nsmallest(3, "age")] keep: object to set which value to select if duplicates exit. Options are 'first' or 'last'

To download the CSV file used, Click

Extracting Largest 5 values In this example, Largest 5 values are extracted and then compared to the other sorted by the sort_values() function. NaN values are removed before trying this method. Refer

and

function.

# importing pandas package
import pandas as pd

# making data frame from csv file
data = pd.read_csv("employees.csv")

# removing null values
data.dropna(inplace = True)

# extracting greatest 5
large5 = data.nlargest(5, "Salary")

# display
large5

Sorting by sort_values()

# importing pandas package
import pandas as pd

# making data frame from csv file 
data = pd.read_csv("employees.csv")

# removing null values
data.dropna(inplace = True)

# sorting in descending order
data.sort_values("Salary", ascending = False, inplace = True)

# displaying top 5 values
data.head()

As shown in the output image, the values returned by both functions is similar.

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