Defining Time-Varying Sources with ParaView's Programmable Source
One question about ParaView that comes up from time to time is how to define time-varying data sources with the Programmable Source. I'll show the basics of doing this here.Let's start by looking at a...
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ParaView 4.4 available for download
ParaView 4.4 is now available for download. This is will be the last major release in the 4.* series. ParaView 5.0 will be released in the near term with a brand new rendering backend. A thorough list...
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Use viscm to design color maps for ParaView 4.4
This week at SciPy2015 I attended the talk by Stéfan van der Walt and Nathaniel Smith on designing a better default color map for Python (you can view a recording of the talk here). matplotlib's...
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Python Module to Create Weighted Functional Box Plots
With simple zero-dimensional data, basic statistics of a population can be displayed with a boxplot. A boxplot shows the median, interquartile range, and outliers in a population described using single...
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ParaView 4.3.1 available for download
ParaView 4.3.1 is now available for download. The complete list of over 70 issues resolved, including some of the critical ones detected in 4.2, can be found on the ParaView bug tracker. Some of the...
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New in ParaView: Coloring by field data
In some situations, you may have a single data value associated with a data set that you would like to visualize "on" the data set. For example, you may want to visualize a boundary condition parameter...
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New in ParaView: Coloring by string arrays
ParaView has always been able to map numerical values associated with points and cells to colors. ParaView 4.3 has the ability to map string arrays to colors. This feature works for string arrays in...
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ParaView 4.2 available for download
ParaView 4.2.0 is now available to download. The complete list of over 200 issues resolved for this release can be found the ParaView Bug Tracker. Some of major highlights of this release are as...
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ParaView technique: Curved and nicely spaced arrow glyphs
ParaView has a number of great filters for generating visualizations of 3D vector fields. This post describes a recipe I learned from Russell M Taylor II at UNC's Department of Computer Science. The...
View ArticleParaView: Python View is now more versatile
In ParaView 4.1, the Python View was capable of generating visualizations using matplotlib only. We recently made some changes to the Python View to make it possible to use just about any Python...
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New in ParaView: Easy saving of custom defaults in ParaView
In a previous blog post, we described ParaView's new settings mechanism for specifying custom default property values for pipeline objects, representations, views, etc. This involved manually editing a...
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Update: File names for user and site settings have been corrected.In past versions, the ability to customize ParaView by changing default values for properties of sources, filters, views, and...
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New in ParaView: Settings UI
One of the few things that has remained unchanged in the ParaView UI since 3.0 was released is the settings dialog: a dialog born from the days when serious applications needed to have lots of...
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matplotlib View coming in ParaView 4.1
matplotlib is a Python module that can be used to make publication-quality plots. We have recently integrated matplotlib into ParaView as a new type of view called a "Python View". This new view will...
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