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. Python3 1==

# 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 Python3 1==

# 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 Python3 1==

# 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 Python3 1==

# 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: