pydpf-core | Data Processing Framework - Python Core

pydpf-core is a Python library. pydpf-core has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However pydpf-core build file is not available. You can install using 'pip install pydpf-core' or download it from GitHub, PyPI.

The Data Processing Framework (DPF) provides numerical simulation users and engineers with a toolbox for accessing and transforming simulation data. With DPF, you can perform complex preprocessing or postprocessing of large amounts of simulation data within a simulation workflow. DPF is an independent, physics-agnostic tool that you can plug into many apps for both data input and data output, including visualization and result plots. It can access data from solver result files and other neutral formats, such as CSV, HDF5, and VTK files. Using the many DPF operators that are available, you can manipulate and transform this data. You can also chain operators together to create simple or complex data-processing workflows that you can reuse for repeated or future evaluations. The data in DPF is defined based on physics-agnostic mathematical quantities described in self-sufficient entities called fields. This allows DPF to be a modular and easy-to-use tool with a large range of capabilities. .. image:: :width: 670 :alt: DPF flow. The ansys.dpf.core package provides a Python interface to DPF, enabling rapid postprocessing of a variety of Ansys file formats and physics solutions without ever leaving the Python environment.