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Access the elements of a Series in Pandas

  • Last Updated : 06 Dec, 2018

Pandas Series is a one-dimensional labeled array capable of holding data of any type (integer, string, float, python objects, etc.). Labels need not be unique but must be a hashable type.

Let’s discuss different ways to access the elements of given Pandas Series.

First create a Pandas Series.




# importing pandas module 
import pandas as pd 
    
# making data frame 
  
ser = pd.Series(df['Name'])
ser.head(10)
# or simply df['Name'].head(10)

Output:

 
Example #1: Get the first element of series




# importing pandas module 
import pandas as pd 
    
# making data frame 
  
df['Name'].head(10)
  
# get the first element
ser[0]

Output:



 
Example #2: Access multiple elements by providing position of item




# importing pandas module 
import pandas as pd 
    
# making data frame 
  
df['Name'].head(10)
  
# get multiple elements at given index
ser[[0, 3, 6, 9]]

Output:

 
Example #3: Access first 5 elements in Series




# importing pandas module 
import pandas as pd 
    
# making data frame 
  
df['Name'].head(10)
  
# get first five names
ser[:5]

Output:

 
Example #4: Get last 10 elements in Series




# importing pandas module 
import pandas as pd 
    
# making data frame 
  
df['Name'].head(10)
  
# get last 10 names
ser[-10:]

Output:

 
Example #5: Access multiple elements by providing label of index




# importing pandas module 
import pandas as pd 
import numpy as np
  
ser = pd.Series(np.arange(3, 15), index = list("abcdefghijkl"))
  
ser[['a', 'd', 'g', 'l']]

Output:

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