vtkmodules.util.data_model#
This module provides classes that allow numpy style access to VTK datasets. See examples at bottom.
Module Contents#
Classes#
Python-friendly interface for vtkFieldData and its subclasses. |
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This is a python friendly wrapper for vtkDataSetAttributes for composite datasets. Since composite datasets themselves don’t have attribute data, but the attribute data is associated with the leaf nodes in the composite dataset, this class simulates a DataSetAttributes interface by taking a union of DataSetAttributes associated with all leaf nodes. |
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Python-friendly interface for VTK dataset types. |
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DataSet subclass that adds a |
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Python-friendly |
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Python-friendly |
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Python-friendly |
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Python-friendly |
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Wrapper for a vtkCompositeDataIterator class to satisfy the python iterator protocol. This iterator iterates over non-empty leaf nodes. To iterate over empty or non-leaf nodes, use the vtkCompositeDataIterator directly. |
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Python-friendly interface for composite VTK datasets. |
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Python-friendly |
Data#
API#
- vtkmodules.util.data_model.NUMPY_AVAILABLE#
False
- class vtkmodules.util.data_model.FieldDataBase(*args)#
Bases:
objectPython-friendly interface for vtkFieldData and its subclasses.
Provides dict-like access to arrays by name or index, with automatic metadata (
dataset,association) propagation. Arrays retrieved via[]orget_array()are returned with their owning dataset and association already set.This class is the base for
FieldData,DataSetAttributes,PointData, andCellDataoverrides.Initialization
- __getitem__(idx)#
Implements the [] operator. Accepts an array name or index.
- __setitem__(name, value)#
Implements the [] operator. Accepts an array name or index.
- get_array(idx)#
Given an index or name, returns a VTK array with metadata set.
- __contains__(aname)#
Returns true if the container contains arrays with the given name, false otherwise
- keys()#
Returns the names of the arrays as a list.
- values()#
Returns the arrays as a tuple.
- items()#
Returns a tuple of pairs (name, array)
- set_array(name, narray)#
Appends a new array to the dataset attributes.
- __eq__(other: object) bool#
Test dict-like equivalency.
- __iter__()#
- __len__()#
- class vtkmodules.util.data_model.FieldData(*args)#
Bases:
vtkmodules.util.data_model.FieldDataBase,vtkmodules.vtkCommonDataModel.vtkFieldData
- class vtkmodules.util.data_model.DataSetAttributesBase(*args)#
- class vtkmodules.util.data_model.DataSetAttributes(*args)#
Bases:
vtkmodules.util.data_model.DataSetAttributesBase,vtkmodules.vtkCommonDataModel.vtkDataSetAttributes- __eq__(other: object) bool#
Test dict-like equivalency.
- class vtkmodules.util.data_model.PointData(*args)#
Bases:
vtkmodules.util.data_model.DataSetAttributesBase,vtkmodules.vtkCommonDataModel.vtkPointData
- class vtkmodules.util.data_model.CellData(*args)#
Bases:
vtkmodules.util.data_model.DataSetAttributesBase,vtkmodules.vtkCommonDataModel.vtkCellData
- class vtkmodules.util.data_model.CompositeDataSetAttributesIterator(cdsa)#
Bases:
objectInitialization
- __iter__()#
- __next__()#
- next()#
- class vtkmodules.util.data_model.CompositeDataSetAttributes(dataset, association)#
Bases:
objectThis is a python friendly wrapper for vtkDataSetAttributes for composite datasets. Since composite datasets themselves don’t have attribute data, but the attribute data is associated with the leaf nodes in the composite dataset, this class simulates a DataSetAttributes interface by taking a union of DataSetAttributes associated with all leaf nodes.
Initialization
- __determine_arraynames()#
- modified()#
Rescans the contained dataset to update the internal list of arrays.
- __contains__(aname)#
Returns true if the container contains arrays with the given name, false otherwise
- keys()#
Returns the names of the arrays as a tuple.
- values()#
Returns all the arrays as a tuple.
- items()#
Returns (name, array) pairs as a tuple.
- __getitem__(idx)#
Implements the [] operator. Accepts an array name.
- __setitem__(name, narray)#
Implements the [] operator. Accepts an array name.
- set_array(name, narray)#
Appends a new array to the composite dataset attributes.
- get_array(idx)#
Given a name, returns a VTKPartitionedArray.
- __iter__()#
Iterators on keys
- __len__()#
- class vtkmodules.util.data_model.DataSet(*args, **kwargs)#
Bases:
objectPython-friendly interface for VTK dataset types.
Adds
point_data,cell_data, andfield_dataproperties that returnDataSetAttributesinstances with dict-like access to arrays. Arrays retrieved from these properties carry metadata (dataset,association) automatically.This is the base class for
PointSet,ImageData,RectilinearGrid, and their subclasses.Examples
::
pd = vtk.vtkPolyData() # ... populate pd ... velocity = pd.point_data["velocity"] # VTKAOSArray pd.cell_data["pressure"] = numpy_array # set from numpy
Initialization
- property point_data#
- property cell_data#
- property field_data#
- __eq__(other: object) bool#
Test equivalency between data objects.
- convert_to_unstructured_grid()#
- class vtkmodules.util.data_model.PointSet(*args, **kwargs)#
Bases:
vtkmodules.util.data_model.DataSetDataSet subclass that adds a
pointsproperty.The
pointsproperty returns the point coordinates as a numpy-compatible VTK array (typicallyVTKAOSArray). Points can be set from a numpy array or avtkPointsobject.Initialization
- property points#
- class vtkmodules.util.data_model.UnstructuredGrid(*args, **kwargs)#
Bases:
vtkmodules.util.data_model.PointSet,vtkmodules.vtkCommonDataModel.vtkUnstructuredGridPython-friendly
vtkUnstructuredGridwith numpy access.Adds
point_data,cell_data,points, andcellsproperties. Thecellsproperty returns a dict withconnectivity,offsets, andcell_typesarrays.Initialization
- property cells#
- class vtkmodules.util.data_model.ImageData(*args, **kwargs)#
Bases:
vtkmodules.util.data_model.DataSet,vtkmodules.vtkCommonDataModel.vtkImageDataPython-friendly
vtkImageDatawith numpy access.Adds
point_data,cell_data, andfield_dataproperties for dict-like array access.Initialization
- class vtkmodules.util.data_model.PolyData(*args, **kwargs)#
Bases:
vtkmodules.util.data_model.PointSet,vtkmodules.vtkCommonDataModel.vtkPolyDataPython-friendly
vtkPolyDatawith numpy access.Adds
point_data,cell_data,points, and topology properties (verts_arrays,lines_arrays,strips_arrays,polys_arrays) returning connectivity and offset arrays.Initialization
- property verts_arrays#
- property lines_arrays#
- property strips_arrays#
- property polys_arrays#
- class vtkmodules.util.data_model.RectilinearGrid(*args, **kwargs)#
Bases:
vtkmodules.util.data_model.DataSet,vtkmodules.vtkCommonDataModel.vtkRectilinearGridPython-friendly
vtkRectilinearGridwith numpy access.Adds
x_coordinates,y_coordinates, andz_coordinatesproperties that can be get/set with numpy arrays or VTK arrays.Initialization
- property x_coordinates#
- property y_coordinates#
- property z_coordinates#
- class vtkmodules.util.data_model.CompositeDataIterator(cds)#
Bases:
objectWrapper for a vtkCompositeDataIterator class to satisfy the python iterator protocol. This iterator iterates over non-empty leaf nodes. To iterate over empty or non-leaf nodes, use the vtkCompositeDataIterator directly.
Initialization
- __iter__()#
- __next__()#
- next()#
- __getattr__(name)#
Returns attributes from the vtkCompositeDataIterator.
- class vtkmodules.util.data_model.CompositeDataSetBase(*args, **kwargs)#
Bases:
objectPython-friendly interface for composite VTK datasets.
Provides
point_data,cell_data,field_data, andpointsproperties that returnCompositeDataSetAttributesorVTKPartitionedArrayinstances spanning all leaf datasets. Iteration yields the non-empty leafvtkDataObjectinstances.This is the base class for
vtkMultiBlockDataSet,vtkPartitionedDataSet,vtkPartitionedDataSetCollection, andvtkOverlappingAMRoverrides.Initialization
- __iter__()#
Creates an iterator for the contained datasets.
- get_attributes(type)#
Returns the attributes specified by the type as a CompositeDataSetAttributes instance.
- property point_data#
Returns the point data as a DataSetAttributes instance.
- property cell_data#
Returns the cell data as a DataSetAttributes instance.
- property field_data#
Returns the field data as a DataSetAttributes instance.
- property points#
Returns the points as a VTKPartitionedArray instance.
- class vtkmodules.util.data_model.PartitionedDataSet(*args, **kwargs)#
Bases:
vtkmodules.util.data_model.CompositeDataSetBase,vtkmodules.vtkCommonDataModel.vtkPartitionedDataSet- append(dataset)#
- class vtkmodules.util.data_model.PartitionedDataSetCollection(*args, **kwargs)#
Bases:
vtkmodules.util.data_model.CompositeDataSetBase,vtkmodules.vtkCommonDataModel.vtkPartitionedDataSetCollection- append(dataset)#
- class vtkmodules.util.data_model.OverlappingAMR(*args, **kwargs)#
Bases:
vtkmodules.util.data_model.CompositeDataSetBase,vtkmodules.vtkCommonDataModel.vtkOverlappingAMR
- class vtkmodules.util.data_model.MultiBlockDataSet(*args, **kwargs)#
Bases:
vtkmodules.util.data_model.CompositeDataSetBase,vtkmodules.vtkCommonDataModel.vtkMultiBlockDataSet
- class vtkmodules.util.data_model.StructuredGrid(*args, **kwargs)#
Bases:
vtkmodules.util.data_model.PointSet,vtkmodules.vtkCommonDataModel.vtkStructuredGridPython-friendly
vtkStructuredGridwith numpy access.Adds
x_coordinates,y_coordinates, andz_coordinatesread-only properties that extract coordinate components from the point array and reshape them to the grid dimensions.Initialization
- property x_coordinates#
- property y_coordinates#
- property z_coordinates#