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

The PCANormalEstimation estimates normals of points using Principal Component Analysis. Add a PCANormals field to the output data.

Data Descriptors


Flip the normals.


This property specifies the input from which the normals are estimated.


Orientation mode of the normals.


Point used to orient the normals.


Radius of the sphere to use for the search of nearest neighbors.


Number of points to sample for PCA.


Configure how the filter selects the neighbor points used to calculate the PCA. With KNN mode K (SampleSize) points are selected regardless of their location relative to the sampled point. The radius can also be set to ensure that a sufficiently large neighborhood is taken into account, if not (i.e. all points fall inside the radius), the second approach is performed. With Radius mode, neighboring points are selected inside a radius (RADIUS), only the neighborhood of the sampled point is considered. If K (SampleSize) is also set, the number of points found inside the radius must be larger than K, if not the first approach is performed. Both approaches give the same results. The first approach is faster for uniform point clouds, in other cases, the second approach is faster.

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