Creating a Pandas Series from Lists

A Series is a one-dimensional labeled array capable of holding any data type (integers, strings, floating point numbers, Python objects, etc.). It has to be remembered that unlike Python lists, a Series will always contain data of the same type.

Let’s see how to create a Pandas Series from lists.

Method #1 : Using Series() method without any argument.



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# import pandas as pd
import pandas as pd
  
# create Pandas Series with default index values
# default index ranges is from 0 to len(list) - 1
x = pd.Series(['Geeks', 'for', 'Geeks'])
  
# print the Series
print(x)

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 Output :



 

 Method #2 : Using Series() method with 'index' argument.











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# import pandas lib. as pd 


import pandas as pd 


  


# create Pandas Series with define indexes 


x = pd.Series([10, 20, 30, 40, 50], index =['a', 'b', 'c', 'd', 'e']) 


  


# print the Series 


print(x) 



















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 Output :




Another example: 











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# import pandas lib. as pd 


import pandas as pd 


  


ind = [10, 20, 30, 40, 50, 60, 70] 


  


lst = ['Geeks', 'for', 'Geeks', 'is', 


            'portal', 'for', 'geeks'] 


              


# create Pandas Series with define indexes 


x = pd.Series(lst, index = ind) 


  


# print the Series 


print(x) 



















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Output:




Method #3:  Using Series() method with multi-list











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# importing pandas  


import pandas as pd 


  


# multi-list 


list = [ ['Geeks'], ['For'], ['Geeks'], ['is'], 


         ['a'], ['portal'], ['for'], ['geeks'] ] 


           


# create Pandas Series 


df = pd.Series((i[0] for i in list)) 


  


print(df) 



















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Output:





          
          
          
          

            

    

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