Working with date offsets
When working with time series, it is critical that you learn more about the data you are working with and how it relates to the problem you are attempting to solve. For example, when working with manufacturing or sales data, you cannot assume that an organization's working day is Monday to Friday or whether it uses the standard calendar year or fiscal year. You should also consider understanding any holiday schedule, annual shutdowns, and other matters related to the business operation.
This is where offsets can be handy. They can help transform your dates into something more meaningful and relatable to a business. They can also help correct data entries that may not be logical.
We will work through a hypothetical example in this recipe and see how to leverage pandas offsets.
How to do it…
In this recipe, you will generate a time-series DataFrame to represent some daily logs of production quantity. The company, a US-based firm, would like to analyze...
