- paraview.simple.StreamTracerForGenericDatasets(*input, **params)¶
Generic Stream Tracer filter generates streamlines in a vector field from a collection of seed points. The vector field used is selected from the Vectors menu, so the input data set is required to have point-centered vectors. The Seed portion of the interface allows you to select whether the seed points for this integration lie in a point cloud or along a line. Depending on which is selected, the appropriate 3D widget (point or line widget) is displayed along with traditional user interface controls for positioning the point cloud or line within the data set. Instructions for using the 3D widgets and the corresponding manual controls can be found in section 7.4. The Max. Propagation entry box allows you to specify the maximum length of the streamlines. From the Max. Propagation menu, you can select the units to be either Time (the time a particle would travel with steady flow) or Length (in the data set’s spatial coordinates). The Init. Step Len. menu and entry specify the initial step size for integration. (For non-adaptive integrators, Runge-Kutta 2 and 4, the initial step size is used throughout the integration.) The menu allows you to specify the units. Time and Length have the same meaning as for Max. Propagation. Cell Length specifies the step length as a number of cells. The Integration Direction menu determines in which direction(s) the stream trace will be generated: FORWARD, BACKWARD, or BOTH. The Integrator Type section of the interface determines which calculation to use for integration: Runge-Kutta 2, Runge-Kutta 4, or Runge-Kutta 4-5. If Runge-Kutta 4-5 is selected, controls are displayed for specifying the minimum and maximum step length and the maximum error. The controls for specifying Min. Step Len. and Max. Step Len. are the same as those for Init. Step Len. The Runge-Kutta 4-5 integrator tries to choose the step size so that the estimated error is less than the value of the Maximum Error entry. If the integration takes more than Max. Steps to complete, if the speed goes below Term. Speed, if Max. Propagation is reached, or if a boundary of the input data set is crossed, integration terminates. This filter operates on any type of data set, provided it has point-centered vectors. The output is polygonal data containing polylines.
Specify the initial integration step.
Set the input to the Generic Stream Tracer filter.
This property determines in which direction(s) a streamline is generated.
Choose the unit to use for the integration step.
This property determines which integrator (with increasing accuracy) to use for creating streamlines.
Set the maximum error allowed in the integration. The meaning of this value depends on the integrator chosen.
Specify the maximum integration step.
Specify the maximum number of steps used in the integration.
Specify the maximum streamline length.
Specify the minimum integration step.
The value of this property determines how the seeds for the streamlines will be generated.
If at any point the speed is below this value, the integration is terminated.
This property contains the name of the vector array from which to generate streamlines.
Data Descriptors inherited from Proxy¶
dictionary for instance variables (if defined)
list of weak references to the object (if defined)
Initialize = aInitialize(self, connection=None, update=True)
Methods inherited from SourceProxy¶
Called when the filename of a source proxy is changed.
Returns the associated cell data information.
- GetDataInformation(self, idx=None)
This method returns a DataInformation wrapper around a vtkPVDataInformation
Returns the associated cell data information.
Returns the associated point data information.
- UpdatePipeline(self, time=None)
This method updates the server-side VTK pipeline and the associated data information. Make sure to update a source to validate the output meta-data.
This method updates the meta-data of the server-side VTK pipeline and the associated information properties
- __getitem__(self, idx)
Given a slice, int or string, returns the corresponding output port
Methods inherited from Proxy¶
- GetProperty(self, name)
Given a property name, returns the property object.
- GetPropertyValue(self, name)
Returns a scalar for properties with 1 elements, the property itself for vectors.
- InitializeFromProxy(self, aProxy, update=True)
Constructor. Assigns proxy to self.SMProxy, updates the server object as well as register the proxy in _pyproxies dictionary.
Returns a list of all property names on this proxy.
- SetPropertyWithName(self, pname, arg)
Generic method for setting the value of a property.
Destructor. Cleans up all observers as well as remove the proxy from the _pyproxies dictionary
- __eq__(self, other)
Returns true if the underlying SMProxies are the same.
- __getattr__(self, name)
With the exception of a few overloaded methods, returns the SMProxy method
- __init__(self, **args)
Default constructor. It can be used to initialize properties by passing keyword arguments where the key is the name of the property. In addition registrationGroup and registrationName (optional) can be specified (as keyword arguments) to automatically register the proxy with the proxy manager.
Creates an iterator for the properties.
- __ne__(self, other)
Returns false if the underlying SMProxies are the same.
- __setattr__(self, name, value)
Implement setattr(self, name, value).
add_attribute(self, name, value)
For the full list of servermanager proxies, please refer to Available readers, sources, writers, filters and animation cues