Vtu file format

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Question feed. A WRL file includes data specifying 3-D details such as vertices, edges for a 3-D polygon, surface color, A precise specification of those formats is available at vtk. The AmiraMesh format, using file extension. A precise specification of the format is available in this guide. The Medit format, using file extension. A precise specification of the format is available in this report , in the appendices section 7.

The Tetgen file formats can be used to represent lists of nodes, edges, faces, A precise specification of the format is available at wias-berlin. The WKT format, using the file extension. A precise specification of the format is available on wikipedia. CGAL 5. Supported File Formats. The VTK libraries use different file formats to handle data structures, but we only support two: The VTU format can be used to store a collection of 3D cells, like tetrahedra, but also points, triangles, lines, etc.

These keywords are used to describe the form of the data, both for reading from file, as well as constructing the appropriate internal objects. Not all data types are supported for all classes. The binary section of the file if in binary form is the data proper; i. Binary files in VTK are portable across different computer systems as long as you observe two conditions.

First, make sure that the byte ordering of the data is correct, and second, make sure that the length of each data type is consistent. Most of the time VTK manages the byte ordering of binary files for you.

When you write a binary file on one computer and read it in from another computer, the bytes representing the data will be automatically swapped as necessary. For example, binary files written on a Sun are stored in big endian order, while those on a PC are stored in little endian order.

As a result, files written on a Sun workstation require byte swapping when read on a PC. See the class vtkByteSwap for implementation details. The VTK data files described here are written in big endian form.

Some file formats, however, do not explicitly define a byte ordering form. You will find that data read or written by external programs, or the classes vtkVolume16Reader , vtkMCubesReader , and vtkMCubesWriter may have a different byte order depending on the system of origin.

In such cases, VTK allows you to specify the byte order by using the methods. Another problem with binary files is that systems may use a different number of bytes to represent an integer or other native type. For example, some bit systems will represent an integer with 8-bytes, while others represent an integer with 4-bytes. Currently, the Visualization Toolkit cannot handle transporting binary files across systems with incompatible data length.

The Visualization Toolkit supports five different dataset formats: structured points, structured grid, rectilinear grid, unstructured grid, and polygonal data.

Data with implicit topology structured data such as vtkImageData and vtkStructuredGrid are ordered with x increasing fastest, then y, then z.

These formats are as follows. Structured Points. The file format supports 1D, 2D, and 3D structured point datasets. The dimensions nx, ny, nz must be greater than or equal to 1. The data spacing sx, sy, sz must be greater than 0. Note: in the version 1. Structured Grid. The file format supports 1D, 2D, and 3D structured grid datasets. This consists of x-y-z data values for each point. Rectilinear Grid. A rectilinear grid defines a dataset with regular topology, and semi-regular geometry aligned along the x-y-z coordinate axes.

The geometry is defined by three lists of monotonically increasing coordinate values, one list for each of the x-y-z coordinate axes. The topology is defined by specifying the grid dimensions, which must be greater than or equal to 1. Polygonal Data. The polygonal dataset consists of arbitrary combinations of surface graphics primitives vertices and polyvertices , lines and polylines , polygons of various types , and triangle strips. Each of these keywords requires two parameters: the number of cells n and the size of the cell list size.

The cell list size is the total number of integer values required to represent the list i. Unstructured Grid. The unstructured grid dataset consists of arbitrary combinations of any possible cell type. Unstructured grids are defined by points, cells, and cell types. The cell types data is a single integer value per cell that specified cell type see vtkCell. Field data is a general format without topological and geometric structure, and without a particular dimensionality.

Typically field data is associated with the points or cells of a dataset. Use the format described in the next section to define a field. The Visualization Toolkit supports the following dataset attributes: scalars one to four components , vectors, normals, texture coordinates 1D, 2D, and 3D , tensors, and field data.

In addition, a lookup table using the RGBA color specification, associated with the scalar data, can be defined as well. Dataset attributes are supported for both points and cells. Each type of attribute data has a dataName associated with it. This is a character string without embedded whitespace used to identify a particular data.

The dataName is used by the VTK readers to extract data. As a result, more than one attribute data of the same type can be included in a file. For example, two different scalar fields defined on the dataset points, pressure and temperature, can be contained in the same file. If the appropriate dataName is not specified in the VTK reader, then the first data of that type is extracted from the file.

Scalar definition includes specification of a lookup table. The definition of a lookup table is optional. Also note that the numComp variable is optional—by default the number of components is equal to one.

The parameter numComp must range between 1 and 4 inclusive; in versions of VTK prior to 2. Lookup Table. The tableName field is a character string without imbedded white space used to identify the lookup table. This label is used by the VTK reader to extract a specific table. Texture Coordinates. Texture coordinates of 1, 2, and 3 dimensions are supported. Currently only real-valued, symmetric tensors are supported. Field Data. Field data is essentially an array of data arrays.