The ability to index elements and access them using their positional index values serves a great purpose when we need to access specific values.
Let us see how series data structure can be index to get value from a specific index.
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) print("The second element (zero-based indexing)") print(my_series) print("Elements from 2 to the last element are") print(my_series[2:])
The series contains following elements ab 34 mn 56 gh 78 kl 90 wq 123 az 45 dtype: int64 The second element (zero-based indexing) 78 Elements from 2 to the last element are gh 78 kl 90 wq 123 az 45 dtype: int64
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 are stored in a list.
A specific index element is accessed from the series using indexing ability of Python.
Python also contains indexing ability, where the operator ‘:’ can be used to specify a range of elements that need to be accessed/displayed.
It is then printed on the console.