Processing data basics#
Data processing consists in a series of operations applied to data to achieve a goal. DPF enables you to access and transform simulation data using customizable workflows.
There is an extensive catalog of operators with different kinds and complexity that can be used together.
The tutorials in this section present a basic application of PyDPF-Core as a post-processing tool.
Postprocessing main steps
Follow the four main steps of a typical post-processing procedure: import data, extract results, transform data, and visualize.
