- Trending Categories
Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Explain how the top ‘n’ elements can be accessed from series data structure in Python?
We have previously used slicing with the help of operator ‘:’, which is used in the case of extracting top ‘n’ elements from series structure. It helps assign a range to the series elements that will later be displayed.
Let us see an example −
Example
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("Top 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 Top 3 elements are : ab 34 mn 56 gh 78 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 0 and higher range is 3.
It is then printed on the console.
126 Views
