#PARAVIEW PYTHON FILTERS HOW TO#

identify the filter that marks the start of the pipeline and choose its input property which will be used to set the input). On the next page, we need to choose the input to this custom filter (i.e. If the name conflicts with any existing filter, you should get an error message. We are calling this 'SurfaceStreamlines'. The wizard will ask you use to choose a name for the filter. With the pipeline selected, open the Create Custom Filter wizard (accessible through the Tools menu). One can use Ctrl or Shift keys for multiple selection. To create a custom filter, first select the sub-pipeline in the pipeline browser. One custom filter is going consist of the sub-pipeline after 'Slice1' which has been highlighted in following image. Here the vector field source is 'Slice1'. The image below shows the pipeline browser for the pipeline.

As a first step, we set up the pipeline in ParaView. In this example we'll create a new filter to create surface streamlines.

#PARAVIEW PYTHON FILTERS HOW TO#

One very commonly asked question on the mailing list is how to create surface streamlines. This document describes how to create and use custom filters. Additionally, the user can then share his custom filters with other users. With what we call custom filters, it is possible for the user to combine the pipeline into a single filter while exposing a set a properties from the internal filters that need tweaking. Users often find themselves applying the same set of filters with some minor parameter tweaks for a few filters in the pipeline to different datasets. The pipeline can further process, render, or save the result. ParaView is a pipeline-based framework: the user loads in data and then applies one or more filters forming a pipeline.

Paraview python filters