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.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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# 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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