Accessing Pandas Series Items

File handling | NumPy | Python functions | sin

Michael Zippo 18.07.2021

In this article we use the file “ nba.csv "to download CSV, click here .

Access to an element from a series with a position

An index number is used to access an element of a series. Use the index operator [] to access an item in a series. The index must be an integer.
To access several elements from the series, we use the Slice operation. The Slice operation is performed on a series using the colon (:). To print items from start to range, use [:Index ] to print items from end use [:-Index ] , to print items from a specific index to the end, use [Index:] to print items within a range use [Start Index: End Index] and to print an entire series using a slicing operation use [:> . Next, to print the entire series in reverse order, use [::-1 ] .

Code # 1: Accessing the first element of the series

# pandas and nudies import

import pandas as pd

import numpy as np

# create a simple array

data = np.array ([ ’g’ , ’ e’ , ’e’ , ’ k’ , ’s’ , ’ f’ , ’o’ , ’r’ , ’ g’ , ’e’ , ’e’ , ’ k’ , ’s’ ])

ser = pd.Series (data)

# get first element

print (ser [ 0 ] )

Output:

Code no. 2: Access the first 5 elements of the series

# import of pandas and nudies

import pandas as pd

import numpy as np

# create a simple array

ser = pd.Series (data)

# get first element

print (ser [: 5 ])

Output:

Code # 3: Access to the last 10 elements of the series

       # pandas and nudies import  
   import   pandas as pd 
   import   numpy as np 
   
  # create a simple array  
   data   =   np.array ([  ’g’  ,  ’ e’  ,   ’e’  ,   ’k’  ,   ’s’  ,  ’ f’  ,   ’o’  ,  ’ r’  ,  ’ g’  ,   ’e’  ,   ’e’  ,   ’k’  ,  ’ s’  ])  
   ser   =   pd.Series (data)  
   
   
  # get the first element  
   print   (ser [  -   10  :])

Output:

Code # 4: Accessing the first 5 Series elements in nba.csv

# pandas module import

import pandas as pd

# create data frame

df = pd.read_csv ( "nba.csv" )

ser = pd.Series (df [ ’Name’ ])

ser.head ( 10 )

We now access the first 5 e series elements

# get the first five names

ser [: 5 ]

Output:

Accessing an element by label (index)

To access an element from a series, we have to set values by the index label. A series is like a fixed-size dictionary where you can get and set values by an index mark.

Code # 1: Accessing a single item using an index mark

Output:

Code # 2: Accessing multiple elements with an index mark

# pandas and nudies import

import pandas as pd

import numpy as np

# create a simple array

data = np.array ([ ’g’ , ’e’ , ’ e’ , ’k’ , ’ s’ , ’f’ , ’o’ , ’ r’ , ’ g’ , ’e’ , ’e’ , ’ k’ , ’s’ ])

ser = pd.Series (data, index = [ 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 ])

# access the element using the index element

print ( ser [ 16 ])

# pandas and nudies import

import pandas as pd

import numpy as np

# create a simple array

data = np.array ([ ’g’ , ’ e’ , ’ e’ , ’k’ , ’s’ , ’f’ , ’ o’ , ’r’ , ’ g’ , ’e’ , ’ e’ , ’k’ , ’ s’ ])

ser = pd.Series (data, index = [ 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 ])

# access multiple items with
# index element

print (ser [[ 10 , 11 , 12 , 13 , 14 ]])

Output:

Code # 3: Access to multiple items by providing an index label

# pandas and numpy imports

import pandas as pd

import numpy as np

ser = pd.Series (np.arange ( 3 , 9 ), index = [ ’a’ , ’ b’ , ’c’ , ’ d’ , ’e’ , ’f’ ])

    
   print   (ser [[  ’a’  ,   ’d’  ,   ’g’  ,  ’ l’  ]])

Output:

Code # 4: Multiple access elements with an index mark in nba.csv

       # pandas module import  
   import   pandas as pd 
   
  # create data frame  
   df   =   pd.read_csv (  "nba.csv"  ) 
   
   ser   =   pd.Series (df [  ’Name’  ]) 
   ser.head (  10  )

We now access multiple elements using the index mark

ser [[ 0 , 3 , 6 , 9 ]]

Output:

Shop

Learn programming in R: courses

Best Python online courses for 2022

Best laptop for Fortnite

Best laptop for Excel

Best laptop for Solidworks

Best laptop for Roblox

Best computer for crypto mining

Best laptop for Sims 4

Accessing Pandas Series Items

Access to an element from a series with a position

Accessing an element by label (index)

Shop

News

Wiki