![]() ![]() The powerful DPF framework enabling rapid post-processing of a variety The Python module provides a Python interface to Product designed to handle large amount of data. This allows DPF to be a modularĪnd easy to use tool with a large range of capabilities. Physics agnostic mathematical quantities described in a Various operators are available allowing the manipulation andĭPF is a workflow-based framework which allows simple and/or complexĮvaluations by chaining operators. DPF can access data from solver resultįiles as well as several neutral formats (csv, hdf5, vtk,Įtc.). Simulation users/engineers with a toolbox for accessing and The Data Processing Framework (DPF) is designed to provide numerical
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