WriteVTK.jl

Documentation for WriteVTK.jl

WriteVTK.MeshCellType
MeshCell

Single cell element in unstructured or polygonal grid.

It is characterised by a cell type (for instance, VTKCellType.TRIANGLE or PolyData.Strips) and by a connectivity vector determining the points on the grid defining this cell.


MeshCell(cell_type, connectivity::AbstractVector)

Define a single cell element of an unstructured grid.

The cell_type argument characterises the type of cell (e.g. vertex, triangle, hexaedron, ...):

  • cell types for unstructured datasets are defined in the VTKCellTypes

module;

  • cell types for polygonal datasets are defined in the PolyData module.

The connectivity argument is a vector containing the indices of the points passed to vtk_grid which define this cell.

Example

Define a triangular cell passing by points with indices [3, 5, 42].

julia> cell = MeshCell(VTKCellTypes.VTK_TRIANGLE, [3, 5, 42])
MeshCell{VTKCellType, Vector{Int64}}(VTKCellType("VTK_TRIANGLE", 0x05, 3), [3, 5, 42])
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WriteVTK.StructuredVTKDatasetType
StructuredVTKDataset <: AbstractVTKDataset

Abstract type representing a structured VTK dataset.

Subtypes are VTKImageData, VTKRectilinearGrid and VTKStructuredGrid.

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WriteVTK.UnstructuredVTKDatasetType
UnstructuredVTKDataset <: AbstractVTKDataset

Abstract type representing an unstructured VTK dataset.

Subtypes are VTKPolyData and VTKUnstructuredGrid.

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Base.isopenMethod
isopen(vtk::VTKFile)

Check if VTK file is still being written.

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Base.setindex!Method
setindex!(vtk::DatasetFile, data, name::AbstractString, [field_type])

Add a new dataset to VTK file.

The number of components of the dataset (e.g. for scalar or vector fields) is determined automatically from the input data dimensions.

The optional argument field_type should be an instance of VTKPointData, VTKCellData or VTKFieldData. It determines whether the data should be associated to grid points, cells or none. If not given, this is guessed from the input data size and the grid dimensions.

Example

Add "velocity" dataset and time scalar to VTK file.

vel = rand(3, 12, 14, 42)  # vector field
time = 42.0

vtk = vtk_grid(...)
vtk["velocity", VTKPointData()] = vel
vtk["time", VTKFieldData()] = time

# This also works, and will generally give the same result:
vtk["velocity"] = vel
vtk["time"] = time
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WriteVTK.add_field_dataMethod
add_field_data(vtk::DatasetFile, data,
               name::AbstractString, loc::AbstractFieldData)

Add either point or cell data to VTK file.

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WriteVTK.data_to_xmlFunction
data_to_xml(
    vtk::DatasetFile, xParent::XMLElement, data,
    name::AbstractString, Nc::Union{Int,AbstractFieldData} = 1,
)

Add numerical data to VTK XML file.

Data is written under the xParent XML node.

Nc may be either the number of components, or the type of field data. In the latter case, the number of components will be deduced from the data dimensions and the type of field data.

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WriteVTK.data_to_xml_appendedMethod
data_to_xml_appended(vtk::DatasetFile, xDA::XMLElement, data)

Add appended raw binary data to VTK XML file.

Data is written to the vtk.buf buffer.

When compression is enabled:

  • the data array is written in compressed form (obviously);

  • the header, written before the actual numerical data, is an array of

HeaderType (UInt32 / UInt64) values: [num_blocks, blocksize, last_blocksize, compressed_blocksizes] All the sizes are in bytes. The header itself is not compressed, only the data is. For more details, see: http://public.kitware.com/pipermail/paraview/2005-April/001391.html http://mathema.tician.de/what-they-dont-tell-you-about-vtk-xml-binary-formats (This is not really documented in the VTK specification...)

Otherwise, if compression is disabled, the header is just a single HeaderType value containing the size of the data array in bytes.

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WriteVTK.paraview_collectionMethod
paraview_collection(f::Function, args...; kwargs...)

Create VTK file and apply f to it. The file is automatically closed by the end of the call.

This allows to use the do-block syntax for creating VTK files:

saved_files = paraview_collection(args...; kwargs...) do vtk
    # do stuff with the `vtk` file handler
end
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WriteVTK.paraview_collection_loadMethod
paraview_collection_load(f::Function, args...; kwargs...)

Create VTK file and apply f to it. The file is automatically closed by the end of the call.

This allows to use the do-block syntax for creating VTK files:

saved_files = paraview_collection_load(args...; kwargs...) do vtk
    # do stuff with the `vtk` file handler
end
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WriteVTK.save_with_appended_dataMethod

Write VTK XML file containing appended binary data to disk.

In this case, the XML file is written manually instead of using the save_file function of LightXML, which doesn't allow to write raw binary data.

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WriteVTK.vtk_gridMethod
vtk_grid(f::Function, args...; kwargs...)

Create VTK file and apply f to it. The file is automatically closed by the end of the call.

This allows to use the do-block syntax for creating VTK files:

saved_files = vtk_grid(args...; kwargs...) do vtk
    # do stuff with the `vtk` file handler
end
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WriteVTK.vtk_gridMethod
vtk_grid(vtm::MultiblockFile, [filename], griddata...; kwargs...)

Create new dataset file that is added to an existent multiblock file. The VTK grid is specified by the elements of griddata.

If the filename is not given, it is determined automatically from the filename of the vtm file and the number of existent blocks.

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WriteVTK.vtk_gridMethod
vtk_grid(vtb::vtkBlock, [filename], griddata...; kwargs...)

Create new dataset file that is added to an existent VTKBlock. The VTK grid is specified by the elements of griddata.

If the filename is not given, it is determined automatically from the filename of the vtb file and the number of existent blocks.

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WriteVTK.vtk_gridMethod
vtk_grid(filename::AbstractString,
         x::AbstractVector{T}, y::AbstractVector{T}, [z::AbstractVector{T}];
         kwargs...)

Create 2D or 3D rectilinear grid (.vtr) file.

Coordinates are specified by separate vectors x, y, z.

Examples

julia> vtk = vtk_grid("abc", [0., 0.2, 0.5], collect(-2.:0.2:3), [1., 2.1, 2.3])
VTK file 'abc.vtr' (RectilinearGrid file, open)
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WriteVTK.vtk_gridMethod
vtk_grid(filename, x::AbstractRange{T}, y::AbstractRange{T}, [z::AbstractRange{T}];
         kwargs...)

Create image data (.vti) file.

Along each direction, the grid is specified in terms of an AbstractRange object.

Examples

julia> vtk = vtk_grid("abc", 1:0.2:5, 2:1.:3, 4:1.:5)  # 3D dataset
VTK file 'abc.vti' (ImageData file, open)

julia> vtk = vtk_grid("abc", 1:0.2:5, 2:1.:3)  # 2D dataset
VTK file 'abc.vti' (ImageData file, open)

julia> vtk = vtk_grid("def",
                      LinRange(0., 5., 10),
                      LinRange(0., 2π, 16),
                      LinRange(1., 10., 12))
VTK file 'def.vti' (ImageData file, open)
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WriteVTK.vtk_multiblockMethod
vtk_multiblock(f::Function, args...; kwargs...)

Create VTK file and apply f to it. The file is automatically closed by the end of the call.

This allows to use the do-block syntax for creating VTK files:

saved_files = vtk_multiblock(args...; kwargs...) do vtk
    # do stuff with the `vtk` file handler
end
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WriteVTK.vtk_saveMethod
vtk_save(vtm::MultiblockFile)

Save and close multiblock file (.vtm). The VTK files included in the multiblock file are also saved.

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WriteVTK.vtk_write_arrayMethod
vtk_write_array(filename, arrays, labels)
vtk_write_array(filename, array, label="array")

Write Julia arrays to a VTK image data file (.vti).

Useful for general visualisation of arrays. The input can be a 2D or 3D array.

Multiple arrays can be given as a tuple, e.g.

vtk_write_array(filename, (x, y), ("x", "y"))

In that case, the arrays must have the same dimensions.

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WriteVTK.VTKCellTypes.nodesMethod
nodes(c::VTKCellTypes)

Returns the number of nodes (or grid points) required by the cell type.

For instance, this returns 3 for VTK_TRIANGLE.

For cell types that can take any number of nodes, such as VTK_POLY_LINE, this returns -1.

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WriteVTK.PolyDataModule
PolyData

Defines cell types for polygonal datasets.

The following singleton types are defined:

  • PolyData.Verts for vertices,
  • PolyData.Lines for lines,
  • PolyData.Strips for triangular strips,
  • PolyData.Polys for polygons.
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