paraview.simple.StreamTracerWithCustomSource(*input, **params)

Stream Tracer With Custom Source filter generates streamlines in a vector field from a collection of seed points. Production of streamlines terminates if a streamline crosses the exterior boundary of the input dataset (ReasonForTermination=1). Other reasons for termination include an initialization issue (ReasonForTermination=2), computing an unexpected value (ReasonForTermination=3), reached the Maximum Streamline Length input value (ReasonForTermination=4), reached the Maximum Steps input value (ReasonForTermination=5), and velocity was lower than the Terminal Speed input value (ReasonForTermination=6). This filter operates on any type of dataset, provided it has point-centered vectors. The output is polygonal data containing polylines. This filter takes a Source input that provides the seed points.

Data Descriptors


Specify whether to compute vorticity.


This property specifies the initial integration step size. For non-adaptive integrators (Runge-Kutta 2 and Runge-Kutta 4), it is fixed (always equal to this initial value) throughout the integration. For an adaptive integrator (Runge-Kutta 4-5), the actual step size varies such that the numerical error is less than a specified threshold.


This property specifies the input to the Stream Tracer filter.


This property determines in which direction(s) a streamline is generated.


This property specifies the unit for Minimum/Initial/Maximum integration step size. The Length unit refers to the arc length that a particle travels/advects within a single step. The Cell Length unit represents the step size as a number of cells.


This property determines which integrator (with increasing accuracy) to use for creating streamlines.


This property determines which interpolator to use for evaluating the velocity vector field. The first is faster though the second is more robust in locating cells during streamline integration.


This property specifies the maximum error (for Runge-Kutta 4-5) tolerated throughout streamline integration. The Runge-Kutta 4-5 integrator tries to adjust the step size such that the estimated error is less than this threshold.


When using the Runge-Kutta 4-5 integrator, this property specifies the maximum integration step size.


This property specifies the maximum number of steps, beyond which streamline integration is terminated.


This property specifies the maximum streamline length (i.e., physical arc length), beyond which line integration is terminated.


When using the Runge-Kutta 4-5 integrator, this property specifies the minimum integration step size.


This property specifies the input used to obtain the seed points.


Specify whether to compute surface streamlines.


This property specifies the terminal speed, below which particle advection/integration is terminated.


If true the filter considers that the whole seed source is available on all ranks. Else the filter will aggregate all seed sources from all ranks and merge their points. WARNING: do not set this value to true unless you know what you’re doing.


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


Return hash(self).

__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