Metadata-Version: 2.1
Name: ansys-dpf-core
Version: 0.2.1
Summary: DPF Python gRPC client
Home-page: https://github.com/pyansys/DPF-Core
Maintainer: ANSYS
Maintainer-email: alexander.kaszynski@ansys.com
License: MIT
Description: # DPF - Ansys Data Processing Framework
        
        [![PyPI version](https://badge.fury.io/py/ansys-dpf-core.svg)](https://badge.fury.io/py/ansys-dpf-core)
        
        [![Build Status](https://dev.azure.com/pyansys/pyansys/_apis/build/status/pyansys.DPF-Core?branchName=docs%2Foperators)](https://dev.azure.com/pyansys/pyansys/_build/latest?definitionId=2&branchName=docs%2Foperators)
        
        The Data Processing Framework (DPF) is designed to provide numerical
        simulation users/engineers with a toolbox for accessing and
        transforming simulation data. DPF can access data from solver result
        files as well as several neutral formats (csv, hdf5, vtk,
        etc.). Various operators are available allowing the manipulation and
        the transformation of this data.
        
        DPF is a workflow-based framework which allows simple and/or complex
        evaluations by chaining operators. The data in DPF is defined based on
        physics agnostic mathematical quantities described in a
        self-sufficient entity called field. This allows DPF to be a modular
        and easy to use tool with a large range of capabilities. It's a
        product designed to handle large amount of data.
        
        The Python ``ansys.dpf.core`` module provides a Python interface to
        the powerful DPF framework enabling rapid post-processing of a variety
        of Ansys file formats and physics solutions without ever leaving a
        Python environment.
        
        
        ## Installation
        
        Install this repository with:
        
        ```
        pip install ansys-dpf-core
        ```
        
        You can also clone and install this repository with:
        
        ```
        git clone https://github.com/pyansys/DPF-Core
        cd DPF-Core
        pip install . --user
        ```
        
        
        ## Running DPF
        
        ### Brief Demo
        Provided you have ANSYS 2021R1 installed, a DPF server will start
        automatically once you start using DPF.
        
        Opening a result file generated from Ansys workbench or MAPDL is as easy as:
        
        ```
        >>> from ansys.dpf.core import Model
        >>> model = Model('file.rst')
        >>> print(model)
        DPF Model
        ------------------------------
        Static analysis
        Unit system: Metric (m, kg, N, s, V, A)
        Physics Type: Mecanic
        Available results:
             -  displacement
             -  element_nodal_forces
             -  volume
             -  energy_stiffness_matrix
             -  hourglass_energy
             -  thermal_dissipation_energy
             -  kinetic_energy
             -  co_energy
             -  incremental_energy
             -  temperature
        ```
        
        Open up an result with:
        
        ```py
        >>> model.displacement
        ```
        
        Then start linking operators with:
        
        ```py
        >>> norm = core.Operator('norm_fc')
        ```
        
        ### Starting the Service
        
        The `ansys.dpf.core` automatically starts the DPF service in the
        background and connects to it.  If you need to connect to an existing
        remote DPF instance, use the ``connect_to_server`` function:
        
        ```py
        from ansys.dpf import core
        connect_to_server('10.0.0.22, 50054)
        ```
        
        Once connected, this connection will remain for the duration of the
        module until you exit python or connect to a different server.
        
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.5.*
Description-Content-Type: text/markdown
