paraview.simple.TemporalInterpolator(*input, **params)
The Temporal
Interpolator converts data that is defined at discrete time steps to one that is defined over a continuum of time by linearly interpolating the data’s field data between two adjacent time steps. The interpolated values are a simple approximation and should not be interpreted as anything more. The Temporal Interpolator assumes that the topology between adjacent time steps does not change.

Data Descriptors

If Discrete Time Step Interval is set to 0, then the Temporal Interpolator will provide a continuous region of time on its output. If set to anything else, then the output will define a finite set of time points on its output, each spaced by the Discrete Time Step Interval. The output will have (time range)/(discrete time step interval) time steps. (Note that the time range is defined by the time range of the data of the input filter, which may be different from other pipeline objects or the range defined in the animation inspector.) This is a useful option to use if you have a dataset with one missing time step and wish to ‘fill in’ the missing data with an interpolated value from the steps on either side.
This property specifies the input of the Temporal Interpolator.


Data Descriptors inherited from SourceProxy

Returns cell data information
Returns field data information
Returns point data information

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