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.

# 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) 

Output :

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

# 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) 

Output :

Another example:

# 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) 

Output:

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

# 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) 

Output:

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