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ParaView.rst
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ParaView
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.. seealso::
| :download:`GooseFEM/ParaView.h <../../include/GooseFEM/ParaView.h>`
| :download:`GooseFEM/ParaView.hpp <../../include/GooseFEM/ParaView.hpp>`
.. note::
This header relies on HDF5 and HighFive as dependencies. If you wish to use ParaView support without making use of HDF5 and HighFive, you have to define ``GOOSEFEM_NO_HIGHFIVE`` before including ``ParaView.h`` for the first time:
.. code-block:: cpp
#define GOOSEFEM_NO_HIGHFIVE
#include <GooseFEM/ParaView.h>
In this case the library does not automatically read the shapes of the datasets. Instead you'll have to provide them as ``std::vector<size_t>``.
HDF5
----
TimeSeries
^^^^^^^^^^
A TimeSeries is constructed from a number of Increments. The consecutive Increments are added to the TimeSeries using push_back. The order in which this is done will define the order of the TimeSeries. Each Increment is constructed from a mesh (using Connectivity and Coordinates) and a number of nodal or cell Attributes.
Consider this example
:download:`figures/ParaView/HDF5/main.cpp <figures/ParaView/HDF5/main.cpp>`
.. literalinclude:: figures/ParaView/HDF5/main.cpp
:language: cpp
.. tip::
A displacement vector in must be always 3-d in ParaView, even when the mesh is in 2-d. Use the ``GooseFEM::ParaView::HDF5::as3d(...)`` function to convert a matrix of 2-d displacements to a matrix of 3-d displacements.
.. note::
The Python interface avoids the HDF5 and HighFive dependencies. One therefore has to provide the datasets' shapes. Consider the following Python example:
:download:`figures/ParaView/HDF5/main.py <figures/ParaView/HDF5/main.py>`
.. literalinclude:: figures/ParaView/HDF5/main.py
:language: python
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