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.

Python3 1==

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

ser = pd.Series(df['Name'])
ser.head(10)
# or simply df['Name'].head(10)

Output:

Example #1: Get the first element of series

Python3 1==

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

df['Name'].head(10)

# get the first element
ser[0]

Output:

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

Python3 1==

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

df['Name'].head(10)

# get multiple elements at given index
ser[[0, 3, 6, 9]]

Output:

Example #3: Access first 5 elements in Series

Python3 1==

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

df['Name'].head(10)

# get first five names
ser[:5]

Output:

Example #4: Get last 10 elements in Series

Python3 1==

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

df['Name'].head(10)

# get last 10 names
ser[-10:]

Output:

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

Python3 1==

# 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']]