paraview.simple.TemporalStatistics

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

Given an input

that changes over time, Temporal Statistics looks at the data for each time step and computes some statistical information of how a point or cell variable changes over time. For example, Temporal Statistics can compute the average value of “pressure” over time of each point. Note that this filter will require the upstream filter to be run on every time step that it reports that it can compute. This may be a time consuming operation. Temporal Statistics ignores the temporal spacing. Each timestep will be weighted the same regardless of how long of an interval it is to the next timestep. Thus, the average statistic may be quite different from an integration of the variable if the time spacing varies.

Data Descriptors

ComputeAverage

Compute the average of each point and cell variable over time.

ComputeMaximum

Compute the maximum of each point and cell variable over time.

ComputeMinimum

Compute the minimum of each point and cell variable over time.

ComputeStandardDeviation

Compute the standard deviation of each point and cell variable over time.

Input

Set the input to the Temporal Statistics filter.

Data Descriptors inherited from Proxy

__dict__

dictionary for instance variables (if defined)

__weakref__

list of weak references to the object (if defined)

Methods

Initialize = aInitialize(self, connection=None, update=True)

Methods inherited from SourceProxy

FileNameChanged(self)

Called when the filename of a source proxy is changed.

GetCellDataInformation(self)

Returns the associated cell data information.

GetDataInformation(self, idx=None)

This method returns a DataInformation wrapper around a vtkPVDataInformation

GetFieldDataInformation(self)

Returns the associated cell data information.

GetPointDataInformation(self)

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.

UpdatePipelineInformation(self)

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.

ListProperties(self)

Returns a list of all property names on this proxy.

SetPropertyWithName(self, pname, arg)

Generic method for setting the value of a property.

__del__(self)

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

__hash__(self)

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.

__iter__(self)

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