Explain how the top ‘n’ elements can be accessed from series data structure in Python?

PythonServer Side ProgrammingProgramming

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

 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("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.

raja
Published on 10-Dec-2020 13:40:49
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