Data Handling Using | Class 12 Informatics Practices Notes

2.2.2 Accessing Elements of a Series

Elements of a Pandas Series can be accessed using two main techniques: indexing and slicing. Indexing allows retrieval of single or multiple elements either by positional index (integer location starting at 0) or by labeled index (user-defined labels). For example, series[2] accesses the third element by position, while series['Mar'] accesses the element labeled 'Mar'. Multiple elements can be accessed by passing a list of positions or labels. The index labels of a Series can also be altered by assigning a new list of labels. Slicing extracts a subset of the Series. When slicing by positional indices, the end index is excluded, meaning only elements from start to end-1 are included. However, when slicing by labeled indices, the end label is included in the output. Slicing can also be used to modify values in a Series; positional slicing excludes the end index value during assignment, while labeled slicing includes it. Reverse slicing can be achieved using negative step values. These flexible indexing and slicing capabilities make Pandas Series a powerful tool for data manipulation.

🧪 Activity: Activity 2.2: Write a statement to get 'NewDelhi' from a Series using positional index.

🔗 Connection: This section leads to understanding Series attributes and methods for more advanced data handling.