Access Bottom N Elements from Series Data Structure in Python

Let us understand how the slicing operator ‘:’ can be used to access elements within a certain range.

Example

 Live Demo

import pandas as pd
my_data = [34, 56, 78, 90, 123, 45]
my_index = ['ab', 'mn' ,'gh','kl', 'wq', 'az']
my_series = pd.Series(my_data, index = my_index)
print("The series contains following elements")
print(my_series)
n = 3
print("Bottom 3 elements are :")
print(my_series[n:])

Output

The series contains following elements
ab 34
mn 56
gh 78
kl 90
wq 123
az 45
dtype: int64
Bottom 3 elements are :
kl 90
wq 123
az 45
dtype: int64

Explanation

• The required libraries are imported, and given alias names for ease of use.

• A list of data values is created, that is later passed as a parameter to the ‘Series’ function present in the ‘pandas’ library

• Next, customized index values (that are passed as parameter later) are stored in a list.

• A specific range of values can be accessed from the series using indexing ‘:’ operator in Python.

• The ‘:’ operator can be used between the lower range value and higher range value: [lower range : higher range].

• This will include the lower range value but exclude the higher range value.

• If no value is provided for lower range, it is taken as 0.

• If no value is provided for higher range, it is taken as len(data structure)-1.

• Here, it indicates that the lower range is 3 and higher range is len(data structure)-1.

• It is then printed on the console.