ParaViewManual.v4.3(官方指南英文版).pdf

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Version 4.0

Contents Articles Introduction About Paraview Loading Data Data Ingestion Understanding Data VTK Data Model Information Panel Statistics Inspector Memory Inspector Multi-block Inspector Displaying Data Views, Representations and Color Mapping Filtering Data Rationale Filter Parameters The Pipeline Filter Categories Best Practices Custom Filters aka Macro Filters Quantative Analysis Drilling Down Python Programmable Filter Calculator Python Calculator Spreadsheet View Selection Querying for Data Histogram Plotting and Probing Data 1 1 9 9 13 13 23 27 28 32 35 35 70 70 70 72 76 79 82 85 85 85 92 94 99 102 111 115 116

Saving Data Saving Data Exporting Scenes 3D Widgets Manipulating data in the 3D view Annotation Annotation Animation Animation View Comparative Visualization Comparative Views Remote and Parallel Large Data Visualization Parallel ParaView Starting the Server(s) Connecting to the Server Distributing/Obtaining Server Connection Configurations Parallel Rendering and Large Displays About Parallel Rendering Parallel Rendering Tile Display Walls CAVE Displays Scripted Control Interpreted ParaView Python Scripting Tools for Python Scripting Batch Processing In-Situ/CoProcessing CoProcessing C++ CoProcessing example Python CoProcessing Example 118 118 121 123 123 130 130 141 141 149 149 156 156 159 164 168 172 172 172 178 180 188 188 188 210 212 217 217 229 236

Plugins What are Plugins? Included Plugins Loading Plugins Appendix Command Line Arguments Application Settings List of Readers List of Sources List of Filters List of Writers How to build/compile/install Building ParaView with Mesa3D How to write parallel VTK readers References Article Sources and Contributors Image Sources, Licenses and Contributors Article Licenses License 242 242 243 245 248 248 255 264 293 308 397 405 414 416 423 425 429

Introduction About Paraview 1 What is ParaView? ParaView is an open-source, multi-platform application for the visualization and analysis of scientific datasets, primarily those that are defined natively in a two- or three-dimensional space including those that extend into the temporal dimension. The front end graphical user interface (GUI) has an open, flexible and intuitive user interface that still gives you fine-grained and open-ended control of the data manipulation and display processing needed to explore and present complex data as you see fit. ParaView has extensive scripting and batch processing capabilities. The standard scripting interface uses the widely used python programming language for scripted control. As with the GUI, the python scripted control is easy to learn, including the ability to record actions in the GUI and save them out as succinct human readable python programs. It is also powerful, with the ability to write scripted filters that run on the server that have access to every bit of your data on a large parallel machine. ParaView's data processing and rendering components are built upon a modular and scalable distributed-memory parallel architecture in which many processors operate synchronously on different portions of the data. ParaView's scalable architecture allows you to run ParaView directly on anything from a small netbook class machine up to the world's largest supercomputer. However, the size of the datasets ParaView can handle in practice varies widely depending on the size of the machine that ParaView's server components are run on. Thus people frequently do both, taking advantage of ParaView's client/server architecture to connect to and control the supercomputer from the netbook. ParaView is meant to be easily extended and customized into new applications and be used by or make use of other tools. Correspondingly there are a number of different interfaces to ParaView's data processing and visualization engine, for example the web-based ParaViewWeb [1]. This book does not focus on these nor does it describe in great detail the programmers' interface to the ParaView engine. The book instead focuses on understanding the standard ParaView GUI based application.

About Paraview 2 User Interface The different sections of ParaView's Graphical User Interface (GUI) are shown below. Of particular importance in the following discussion are the: • File and Filter menus which allow you to open files and manipulate data • Pipeline Browser which displays the visualization pipeline • Properties panel where you can can control any given module within the pipeline • View area where data is displayed in one or more windows Figure 1.1 ParaView GUI Overview Modality One very important thing to keep in mind when using ParaView is that the GUI is very modal. At any given time you will have one "active" module within the visualization pipeline, one "active" view, and one "active" selection. For example, when you click on the name of a reader or source within the Pipeline Browser, it becomes the active module and the properties of that filter are displayed in the Properties panel. Likewise when you click within a different view, that view becomes the active view and the visibility "eye" icons in the Pipeline Browser are changed to show what filters are displayed within this View. These concepts will be described in detail in later chapters (Multiple Views [2],Pipeline Basics [3],Selection [4]). For now you should be aware that the information displayed in the GUI always pertains to these active entities.

About Paraview 3 Features Modern graphical applications allow users to treat the GUI as a document where informations can be queried and used by Copy/Paste from one place to another and that's precisely where we are heading to with ParaView. Typically user can query any Tree/Table/List view widget in the UI by activating that component and by hitting the Ctrl+F or Command+F on Mac keyboard shortcut, while the view widget is in focus. This will enable a dynamic widget showing up which get illustrated in the following screenshot. This search-widget will be closed when the view widget lost focus, or the Esc button is pressed, or the Close button on the search-widget is clicked. Figure 1.2 Searching in lists Figure 1.3 Searching in trees In order to retrieve data from spreadsheet or complex UI, you will need to double click on the area that you are interested in and select the portion of text that you want to select to Copy. The set of screenshots below illustrate

About Paraview different selection use case across the UI components. 4 Figure 1.4 Copying time values from Information Tab Figure 1.5 Copying values from trees on the Information Tab Figure 1.6 Copying values from Spreadsheet View

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