Difference between revisions of "ParaView/Users Guide/Information Panel"

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The Extents section is available only for structured datasets (uniform rectilinear grid, rectilinear grid and curvilinear grid). It displays the extent of all three indices that define a structured datasets. It also displays the dimensions (the number of points) in each direction. Note that these refer to logical extents and the labels X Extent, Y Extent and Z Extent can be somehow misleading for curvilinear grids.
 
The Extents section is available only for structured datasets (uniform rectilinear grid, rectilinear grid and curvilinear grid). It displays the extent of all three indices that define a structured datasets. It also displays the dimensions (the number of points) in each direction. Note that these refer to logical extents and the labels X Extent, Y Extent and Z Extent can be somehow misleading for curvilinear grids.
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== Data Hierarchy (AMR)  ==
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[[Image:ParaVIew_UG_Info_Amr.png‎|400px]]
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For AMR datasets, the Data Hierarchy section shows the various refinement levels available in the dataset. Note that you can drill down to each level by clicking on it. All of the other sections will immediately update for the selected level. For information on the whole dataset, select the top parent called "AMR Dataset".
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== Data Hierarchy (Multi-Block Dataset) ==

Revision as of 17:36, 13 December 2010

Introduction

Clicking on the Information button on the Object Inspector will take you to the Information Panel. The purpose of this panel is to provide you with information about the output of the currently selected source, reader or filter. The information on this panel is presented in several sections. We start by describing the sections that are applicable to all dataset types then we describe data specific sections.

File Properties

ParaView UG Info Properties.png

If the current pipeline object is a reader, the top section will display the name of the file and its full path.

Data Statistics

ParaView UG Info Statistics.png

The Statistics section displays high-level information about the dataset including the type, number of points and cells and the total memory used. Note that the memory is for the dataset only and does not include memory used by the representation (for example, the polygonal mesh that may represent the surface). All of this information is for the current time step.

Array Information

ParaView UG Info Arrays.png

This section shows the association (point, cell or global), name, type and range of each array in the dataset. In the example, the top 3 attributes are point arrays, the middle 3 cell arrays and the bottom three global (field) arrays. Note that for vectors, the range of each component is shown separately. In case, the range information does not fit the frame, the tooltip will display all of the values.

Bounds

ParaView UG InfoBounds.png

The Bounds section will display the spatial bounds of the dataset. These are the coordinates of the smallest axis-aligned hexahedron that contains the dataset as well as its dimensions.

Timesteps

ParaView UG Info Temporal.png

The Time section shows the index and value of all time steps available in a file or produceable by a source. Note that this section display values only when a reader or source is selected even though filters downstream of such sources also have time varying outputs. Also note that usually only one time step is loaded at a time.

Extents

ParaView UG Info Extents.png

The Extents section is available only for structured datasets (uniform rectilinear grid, rectilinear grid and curvilinear grid). It displays the extent of all three indices that define a structured datasets. It also displays the dimensions (the number of points) in each direction. Note that these refer to logical extents and the labels X Extent, Y Extent and Z Extent can be somehow misleading for curvilinear grids.

Data Hierarchy (AMR)

ParaVIew UG Info Amr.png

For AMR datasets, the Data Hierarchy section shows the various refinement levels available in the dataset. Note that you can drill down to each level by clicking on it. All of the other sections will immediately update for the selected level. For information on the whole dataset, select the top parent called "AMR Dataset".

Data Hierarchy (Multi-Block Dataset)