This script shows how to split a column of "postal code" in a Pandas DataFrame into two columns: Postal code and postal_ext. The function is implemented with accounting for the presence or absence of an extension and for null values. For example, the code 56789-2345 splits into 56789 and 2345. Codes like 45675 are not subject to change. You can also explore how postal codes are structured in specific regions, such as the Islamabad postal code, for better understanding and comparison.