Get n-smallest 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-smallest 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-smallest values from a particular column in Pandas DataFrame.

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# importing pandas module 
import pandas as pd 
    
# making data frame 
df = pd.read_csv("https://cdncontribute.geeksforgeeks.org/wp-content/uploads/nba.csv") 
  
df.head(10)

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Code #1:  Getting 5 smallest Age 













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# importing pandas module  


import pandas as pd  


    


# making data frame  


df = pd.read_csv("nba.csv")  


  


  


df.nsmallest(5, ['Age']) 



















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Output:



 


Code #2:  Getting 10 minimum weights













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# importing pandas module  


import pandas as pd  


    


# making data frame  


df = pd.read_csv("nba.csv")  


  


  


df.nsmallest(10, ['Weight']) 



















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Output:



 


Code #3:  Getting 10 minimum salary













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                                    link

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                                    code
                                




















# importing pandas module  


import pandas as pd  


    


# making data frame  


df = pd.read_csv("nba.csv")  


  


  


df.nsmallest(5, ['Salary']) 



















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Output:





          
          
          
          

            

    

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