Get n-largest values from a particular column in Pandas DataFrame

Pandas DataFrame is two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns).

Let’s see how can we can get n-largest values from a particular column in Pandas DataFrame.

Observe this dataset first. We’ll use ‘Age’, ‘Weight’ and ‘Salary’ columns of this data in order to get n-largest values from a particular column in Pandas DataFrame.

# importing pandas module
import pandas as pd

# making data frame
df = pd.read_csv("https://media.geeksforgeeks.org/wp-content/uploads/nba.csv")

df.head(10)

Code #1: Getting 5 largest Age

# importing pandas module
import pandas as pd

# making data frame
df = pd.read_csv("nba.csv")

# five largest values in column age
df.nlargest(5, ['Age'])

Output:

Code #2: Getting 10 maximum weights

# importing pandas module
import pandas as pd

# making data frame
df = pd.read_csv("nba.csv")

# Ten largest values in column Weight
df.nlargest(10, ['Weight'])

Output:

Code #3: Getting 10 maximum salary

# importing pandas module
import pandas as pd

# making data frame
df = pd.read_csv("nba.csv")

# five largest values in column Salary
df.nlargest(5, ['Salary'])

Output: