Difference between revisions of "ParaView/Users Guide/List of filters"

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==AMR Contour==
==AMR Contour=








{| class="PropertiesTable" border="1" cellpadding="5"
 
|-
{| class="PropertiesTable" border="1" cellpadding="5
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Capping'''<br>''(Capping)''
|
|
If this property is on, the the boundary of the data set is capped.
| '''Property''
 
| '''Description''
| 1
| '''Default Value(s)''
| '''Restrictions''
|
|
Only the values 0 and 1 are accepted.
| '''Capping'''<br>''(Capping)'


If this property is on, the the boundary of the data set is capped
|-
| '''Isosurface'''<br>''(ContourValue)''
|
This property specifies the values at which to compute the isosurface.


| 1
|
|
The value must lie within the range of the selected data array.


Only the values 0 and 1 are accepted
|-
| '''Degenerate Cells'''<br>''(DegenerateCells)''
|
If this property is on, a transition mesh between levels is created.


| 1
|
Only the values 0 and 1 are accepted.


|-
| '''Input'''<br>''(Input)''
| �
| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.
| '''Isosurface'''<br>''(ContourValue)'


This property specifies the values at which to compute the isosurface


The dataset must contain a cell array with 1 components.
|


The value must lie within the range of the selected data array


The selected dataset must be one of the following types (or a subclass of one of them): vtkCompositeDataSet.


|-
| '''Merge Points'''<br>''(MergePoints)''
|
|
Use more memory to merge points on the boundaries of blocks.
| '''Degenerate Cells'''<br>''(DegenerateCells)'


| 1
If this property is on, a transition mesh between levels is created
|
Only the values 0 and 1 are accepted.


|-
| '''Multiprocess Communication'''<br>''(MultiprocessCommunication)''
|
|
If this property is off, each process executes independantly.


| 1
Only the values 0 and 1 are accepted
|
Only the values 0 and 1 are accepted.


|-
| '''Contour By'''<br>''(SelectInputScalars)''
|
This property specifies the name of the cell scalar array from which the contour filter will compute isolines and/or isosurfaces.


| �
|
|
An array of scalars is required.
| '''Input'''<br>''(Input)'
 
|-
| '''Skip Ghost Copy'''<br>''(SkipGhostCopy)''
|
|
A simple test to see if ghost values are already set properly.
| 1
|
|
Only the values 0 and 1 are accepted.


The selected object must be the result of the following: sources (includes readers), filters
|-
| '''Triangulate'''<br>''(Triangulate)''
|
Use triangles instead of quads on capping surfaces.


| 1
|
Only the values 0 and 1 are accepted.


The dataset must contain a cell array with 1 components
|}




==AMR Dual Clip==
The selected dataset must be one of the following types (or a subclass of one of them): vtkCompositeDataSet




Clip with scalars.  Tetrahedra.
|
| '''Merge Points'''<br>''(MergePoints)'


Use more memory to merge points on the boundaries of blocks


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Degenerate Cells'''<br>''(DegenerateCells)''
|
|
If this property is on, a transition mesh between levels is created.


| 1
Only the values 0 and 1 are accepted
|
 
Only the values 0 and 1 are accepted.


|-
| '''Input'''<br>''(Input)''
| �
| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.
| '''Multiprocess Communication'''<br>''(MultiprocessCommunication)'


If this property is off, each process executes independantly


The dataset must contain a cell array with 1 components.
|


Only the values 0 and 1 are accepted


The selected dataset must be one of the following types (or a subclass of one of them): vtkCompositeDataSet.


|-
| '''Merge Points'''<br>''(MergePoints)''
|
|
Use more memory to merge points on the boundaries of blocks.
| '''Contour By'''<br>''(SelectInputScalars)'


| 1
This property specifies the name of the cell scalar array from which the contour filter will compute isolines and/or isosurfaces
|
Only the values 0 and 1 are accepted.


|-
| '''Multiprocess Communication'''<br>''(MultiprocessCommunication)''
|
|
If this property is off, each process executes independantly.


| 1
An array of scalars is required
|
Only the values 0 and 1 are accepted.


|-
| '''Select Material Arrays'''<br>''(SelectMaterialArrays)''
|
This property specifies the cell arrays from which the clip filter will
compute clipped cells.


| �
|
|
An array of scalars is required.
| '''Skip Ghost Copy'''<br>''(SkipGhostCopy)'


A simple test to see if ghost values are already set properly
|-
| '''Volume Fraction Value'''<br>''(VolumeFractionSurfaceValue)''
|
This property specifies the values at which to compute the isosurface.


| 0.1
|
|
The value must be greater than or equal to 0 and less than or equal to 1.


Only the values 0 and 1 are accepted
|}




==Annotate Time Filter==
|
| '''Triangulate'''<br>''(Triangulate)'


Use triangles instead of quads on capping surfaces


Shows input data time as text annnotation in the view.
The Annotate Time filter can be used to show the data time in a text annotation.<br>
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Format'''<br>''(Format)''
|
|
The value of this property is a format string used to display the input time. The format string is specified using printf style.


| Time: %f
Only the values 0 and 1 are accepted
| �
|-
| '''Input'''<br>''(Input)''
|
This property specifies the input dataset for which to display the time.


| �
|
The selected object must be the result of the following: sources (includes readers), filters.


|-
| '''Scale'''<br>''(Scale)''
|
|
The factor by which the input time is scaled.


| 1
| �
|-
| '''Shift'''<br>''(Shift)''
|
The amount of time the input is shifted (after scaling).


| 0
==AMR Dual Clip=
| �
|}




==Append Attributes==
Clip with scalars.  Tetrahedra




Copies geometry from first input.  Puts all of the arrays into the output.
{| class="PropertiesTable" border="1" cellpadding="5
|
| '''Property''
| '''Description''
| '''Default Value(s)''
| '''Restrictions''
|
| '''Degenerate Cells'''<br>''(DegenerateCells)'


The Append Attributes filter takes multiple input data sets with the same geometry and merges their point and cell attributes to produce a single output containing all the point and cell attributes of the inputs. Any inputs without the same number of points and cells as the first input are ignored. The input data sets must already be collected together, either as a result of a reader that loads multiple parts (e.g., EnSight reader) or because the Group Parts filter has been run to form a collection of data sets.<br>
If this property is on, a transition mesh between levels is created


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Input'''<br>''(Input)''
|
|
This property specifies the input to the Append Attributes filter.


| �
Only the values 0 and 1 are accepted
|
The selected object must be the result of the following: sources (includes readers), filters.




The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet.
|
| '''Input'''<br>''(Input)'
|
|


The selected object must be the result of the following: sources (includes readers), filters
|}




==Append Datasets==
The dataset must contain a cell array with 1 components




Takes an input of multiple datasets and output has only one unstructured grid.
The selected dataset must be one of the following types (or a subclass of one of them): vtkCompositeDataSet


The Append Datasets filter operates on multiple data sets of any type (polygonal, structured, etc.). It merges their geometry into a single data set. Only the point and cell attributes that all of the input data sets have in common will appear in the output. The input data sets must already be collected together, either as a result of a reader that loads multiple parts (e.g., EnSight reader) or because the Group Parts filter has been run to form a collection of data sets.<br>


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Input'''<br>''(Input)''
|
|
This property specifies the datasets to be merged into a single dataset by the Append Datasets filter.
| '''Merge Points'''<br>''(MergePoints)'
 
Use more memory to merge points on the boundaries of blocks


| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.


Only the values 0 and 1 are accepted


The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet.


|
|}
| '''Multiprocess Communication'''<br>''(MultiprocessCommunication)'


If this property is off, each process executes independantly


==Append Geometry==
|


Only the values 0 and 1 are accepted


Takes an input of multiple poly data parts and output has only one part.


The Append Geometry filter operates on multiple polygonal data sets. It merges their geometry into a single data set. Only the point and cell attributes that all of the input data sets have in common will appear in the output.<br>
|
| '''Select Material Arrays'''<br>''(SelectMaterialArrays)'


{| class="PropertiesTable" border="1" cellpadding="5"
This property specifies the cell arrays from which the clip filter wil
|-
compute clipped cells
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Input'''<br>''(Input)''
|
Set the input to the Append Geometry filter.


| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.


An array of scalars is required


The selected dataset must be one of the following types (or a subclass of one of them): vtkPolyData.


|
|}
| '''Volume Fraction Value'''<br>''(VolumeFractionSurfaceValue)'


This property specifies the values at which to compute the isosurface


==Block Scalars==
| 0.


The value must be greater than or equal to 0 and less than or equal to 1


The Level Scalars filter uses colors to show levels of a multiblock dataset.


The Level Scalars filter uses colors to show levels of a multiblock dataset.<br>
{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Input'''<br>''(Input)''
|
|
This property specifies the input to the Level Scalars filter.


| �
|
The selected object must be the result of the following: sources (includes readers), filters.


==Annotate Time Filter=


The selected dataset must be one of the following types (or a subclass of one of them): vtkMultiBlockDataSet.


Shows input data time as text annnotation in the view
|}


The Annotate Time filter can be used to show the data time in a text annotation.<br


==Calculator==
{| class="PropertiesTable" border="1" cellpadding="5
|
| '''Property''
| '''Description''
| '''Default Value(s)''
| '''Restrictions''
|
| '''Format'''<br>''(Format)'


The value of this property is a format string used to display the input time. The format string is specified using printf style


Compute new attribute arrays as function of existing arrays.
| Time: %
|
|
| '''Input'''<br>''(Input)'


The Calculator filter computes a new data array or new point coordinates as a function of existing scalar or vector arrays. If point-centered arrays are used in the computation of a new data array, the resulting array will also be point-centered. Similarly, computations using cell-centered arrays will produce a new cell-centered array. If the function is computing point coordinates, the result of the function must be a three-component vector. The Calculator interface operates similarly to a scientific calculator. In creating the function to evaluate, the standard order of operations applies.<br>
This property specifies the input dataset for which to display the time
Each of the calculator functions is described below. Unless otherwise noted, enclose the operand in parentheses using the ( and ) buttons.<br>
Clear: Erase the current function (displayed in the read-only text box above the calculator buttons).<br>
/: Divide one scalar by another. The operands for this function are not required to be enclosed in parentheses.<br>
*: Multiply two scalars, or multiply a vector by a scalar (scalar multiple). The operands for this function are not required to be enclosed in parentheses.<br>
-: Negate a scalar or vector (unary minus), or subtract one scalar or vector from another. The operands for this function are not required to be enclosed in parentheses.<br>
+: Add two scalars or two vectors. The operands for this function are not required to be enclosed in parentheses.<br>
sin: Compute the sine of a scalar.<br>
cos: Compute the cosine of a scalar.<br>
tan: Compute the tangent of a scalar.<br>
asin: Compute the arcsine of a scalar.<br>
acos: Compute the arccosine of a scalar.<br>
atan: Compute the arctangent of a scalar.<br>
sinh: Compute the hyperbolic sine of a scalar.<br>
cosh: Compute the hyperbolic cosine of a scalar.<br>
tanh: Compute the hyperbolic tangent of a scalar.<br>
min: Compute minimum of two scalars.<br>
max: Compute maximum of two scalars.<br>
x^y: Raise one scalar to the power of another scalar. The operands for this function are not required to be enclosed in parentheses.<br>
sqrt: Compute the square root of a scalar.<br>
e^x: Raise e to the power of a scalar.<br>
log: Compute the logarithm of a scalar (deprecated. same as log10).<br>
log10: Compute the logarithm of a scalar to the base 10.<br>
ln: Compute the logarithm of a scalar to the base 'e'.<br>
ceil: Compute the ceiling of a scalar.<br>
floor: Compute the floor of a scalar.<br>
abs: Compute the absolute value of a scalar.<br>
v1.v2: Compute the dot product of two vectors. The operands for this function are not required to be enclosed in parentheses.<br>
cross: Compute cross product of two vectors.<br>
mag: Compute the magnitude of a vector.<br>
norm: Normalize a vector.<br>
The operands are described below.<br>
The digits 0 - 9 and the decimal point are used to enter constant scalar values.<br>
iHat, jHat, and kHat are vector constants representing unit vectors in the X, Y, and Z directions, respectively.<br>
The scalars menu lists the names of the scalar arrays and the components of the vector arrays of either the point-centered or cell-centered data. The vectors menu lists the names of the point-centered or cell-centered vector arrays. The function will be computed for each point (or cell) using the scalar or vector value of the array at that point (or cell).<br>
The filter operates on any type of data set, but the input data set must have at least one scalar or vector array. The arrays can be either point-centered or cell-centered. The Calculator filter's output is of the same data set type as the input.<br>


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Attribute Mode'''<br>''(AttributeMode)''
|
|
This property determines whether the computation is to be performed on point-centered or cell-centered data.


| 0
The selected object must be the result of the following: sources (includes readers), filters
|
 
The value must be one of the following: point_data (1), cell_data (2), field_data (5).


|-
| '''Coordinate Results'''<br>''(CoordinateResults)''
|
|
The value of this property determines whether the results of this computation should be used as point coordinates or as a new array.
| '''Scale'''<br>''(Scale)'


| 0
The factor by which the input time is scaled
|
Only the values 0 and 1 are accepted.


|-
| '''Function'''<br>''(Function)''
|
|
This property contains the equation for computing the new array.
| �
| �
|-
| '''Input'''<br>''(Input)''
|
|
This property specifies the input dataset to the Calculator filter. The scalar and vector variables may be chosen from this dataset's arrays.
| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.
| '''Shift'''<br>''(Shift)'


The amount of time the input is shifted (after scaling)


The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet.
|-
| '''Replace Invalid Results'''<br>''(ReplaceInvalidValues)''
|
|
This property determines whether invalid values in the computation will be replaced with a specific value. (See the ReplacementValue property.)
| 1
|
|
Only the values 0 and 1 are accepted.
|-
| '''Replacement Value'''<br>''(ReplacementValue)''
|
|
If invalid values in the computation are to be replaced with another value, this property contains that value.


| 0
| �
|-
| '''Result Array Name'''<br>''(ResultArrayName)''
|
This property contains the name for the output array containing the result of this computation.


| Result
==Append Attributes=
| �
|}




==Cell Centers==
Copies geometry from first input.  Puts all of the arrays into the output


The Append Attributes filter takes multiple input data sets with the same geometry and merges their point and cell attributes to produce a single output containing all the point and cell attributes of the inputs. Any inputs without the same number of points and cells as the first input are ignored. The input data sets must already be collected together, either as a result of a reader that loads multiple parts (e.g., EnSight reader) or because the Group Parts filter has been run to form a collection of data sets.<br


Create a point (no geometry) at the center of each input cell.
{| class="PropertiesTable" border="1" cellpadding="5
|
| '''Property''
| '''Description''
| '''Default Value(s)''
| '''Restrictions''
|
| '''Input'''<br>''(Input)'


The Cell Centers filter places a point at the center of each cell in the input data set. The center computed is the parametric center of the cell, not necessarily the geometric or bounding box center. The cell attributes of the input will be associated with these newly created points of the output. You have the option of creating a vertex cell per point in the outpuut. This is useful because vertex cells are rendered, but points are not. The points themselves could be used for placing glyphs (using the Glyph filter). The Cell Centers filter takes any type of data set as input and produces a polygonal data set as output.<br>
This property specifies the input to the Append Attributes filter


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Input'''<br>''(Input)''
|
|
This property specifies the input to the Cell Centers filter.


| �
The selected object must be the result of the following: sources (includes readers), filters
|
The selected object must be the result of the following: sources (includes readers), filters.




The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet.
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet


|-
| '''Vertex Cells'''<br>''(VertexCells)''
|
If set to 1, a vertex cell will be generated per point in the output. Otherwise only points will be generated.


| 0
|
|
Only the values 0 and 1 are accepted.


|}


==Append Datasets=


==Cell Data to Point Data==


Takes an input of multiple datasets and output has only one unstructured grid


Create point attributes by averaging cell attributes.
The Append Datasets filter operates on multiple data sets of any type (polygonal, structured, etc.). It merges their geometry into a single data set. Only the point and cell attributes that all of the input data sets have in common will appear in the output. The input data sets must already be collected together, either as a result of a reader that loads multiple parts (e.g., EnSight reader) or because the Group Parts filter has been run to form a collection of data sets.<br


The Cell Data to Point Data filter averages the values of the cell attributes of the cells surrounding a point to compute point attributes. The Cell Data to Point Data filter operates on any type of data set, and the output data set is of the same type as the input.<br>
{| class="PropertiesTable" border="1" cellpadding="5
|
| '''Property''
| '''Description''
| '''Default Value(s)''
| '''Restrictions''
|
| '''Input'''<br>''(Input)'


{| class="PropertiesTable" border="1" cellpadding="5"
This property specifies the datasets to be merged into a single dataset by the Append Datasets filter
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Input'''<br>''(Input)''
|
This property specifies the input to the Cell Data to Point Data filter.


| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.


The selected object must be the result of the following: sources (includes readers), filters


The dataset must contain a cell array.


The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet


The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet.


|-
| '''Pass Cell Data'''<br>''(PassCellData)''
|
|
If this property is set to 1, then the input cell data is passed through to the output; otherwise, only the generated point data will be available in the output.


| 0
|
Only the values 0 and 1 are accepted.


==Append Geometry=
|}




==Clean==
Takes an input of multiple poly data parts and output has only one part


The Append Geometry filter operates on multiple polygonal data sets. It merges their geometry into a single data set. Only the point and cell attributes that all of the input data sets have in common will appear in the output.<br


Merge coincident points if they do not meet a feature edge criteria.
{| class="PropertiesTable" border="1" cellpadding="5
|
| '''Property''
| '''Description''
| '''Default Value(s)''
| '''Restrictions''
|
| '''Input'''<br>''(Input)'


The Clean filter takes polygonal data as input and generates polygonal data as output. This filter can merge duplicate points, remove unused points, and transform degenerate cells into their appropriate forms (e.g., a triangle is converted into a line if two of its points are merged).<br>
Set the input to the Append Geometry filter


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Absolute Tolerance'''<br>''(AbsoluteTolerance)''
|
|
If merging nearby points (see PointMerging property) and using absolute tolerance (see ToleranceIsAbsolute property), this property specifies the tolerance for performing merging in the spatial units of the input data set.


| 1
The selected object must be the result of the following: sources (includes readers), filters
|
The value must be greater than or equal to 0.


|-
| '''Convert Lines To Points'''<br>''(ConvertLinesToPoints)''
|
If this property is set to 1, degenerate lines (a "line" whose endpoints are at the same spatial location) will be converted to points.


| 1
The selected dataset must be one of the following types (or a subclass of one of them): vtkPolyData
|
Only the values 0 and 1 are accepted.


|-
| '''Convert Polys To Lines'''<br>''(ConvertPolysToLines)''
|
If this property is set to 1, degenerate polygons (a "polygon" with only two distinct point coordinates) will be converted to lines.


| 1
|
|
Only the values 0 and 1 are accepted.


|-
| '''Convert Strips To Polys'''<br>''(ConvertStripsToPolys)''
|
If this property is set to 1, degenerate triangle strips (a triangle "strip" containing only one triangle) will be converted to triangles.


| 1
==Block Scalars=
|
Only the values 0 and 1 are accepted.


|-
| '''Input'''<br>''(Input)''
|
Set the input to the Clean filter.


| �
The Level Scalars filter uses colors to show levels of a multiblock dataset
|
The selected object must be the result of the following: sources (includes readers), filters.


The Level Scalars filter uses colors to show levels of a multiblock dataset.<br


The selected dataset must be one of the following types (or a subclass of one of them): vtkPolyData.
{| class="PropertiesTable" border="1" cellpadding="5
|
| '''Property''
| '''Description''
| '''Default Value(s)''
| '''Restrictions''
|
| '''Input'''<br>''(Input)'


This property specifies the input to the Level Scalars filter
|-
| '''Piece Invariant'''<br>''(PieceInvariant)''
|
If this property is set to 1, the whole data set will be processed at once so that cleaning the data set always produces the same results. If it is set to 0, the data set can be processed one piece at a time, so it is not necessary for the entire data set to fit into memory; however the results are not guaranteed to be the same as they would be if the Piece invariant option was on. Setting this option to 0 may produce seams in the output dataset when ParaView is run in parallel.


| 1
|
|
Only the values 0 and 1 are accepted.


The selected object must be the result of the following: sources (includes readers), filters
|-
| '''Point Merging'''<br>''(PointMerging)''
|
If this property is set to 1, then points will be merged if they are within the specified Tolerance or AbsoluteTolerance (see the Tolerance and AbsoluteTolerance propertys), depending on the value of the ToleranceIsAbsolute property. (See the ToleranceIsAbsolute property.) If this property is set to 0, points will not be merged.


| 1
|
Only the values 0 and 1 are accepted.


The selected dataset must be one of the following types (or a subclass of one of them): vtkMultiBlockDataSet
|-
| '''Tolerance'''<br>''(Tolerance)''
|
If merging nearby points (see PointMerging property) and not using absolute tolerance (see ToleranceIsAbsolute property), this property specifies the tolerance for performing merging as a fraction of the length of the diagonal of the bounding box of the input data set.


| 0
|
The value must be greater than or equal to 0 and less than or equal to 1.


|-
| '''Tolerance Is Absolute'''<br>''(ToleranceIsAbsolute)''
|
|
This property determines whether to use absolute or relative (a percentage of the bounding box) tolerance when performing point merging.


| 0
|
Only the values 0 and 1 are accepted.


==Calculator=
|}




==Clean to Grid==
Compute new attribute arrays as function of existing arrays


The Calculator filter computes a new data array or new point coordinates as a function of existing scalar or vector arrays. If point-centered arrays are used in the computation of a new data array, the resulting array will also be point-centered. Similarly, computations using cell-centered arrays will produce a new cell-centered array. If the function is computing point coordinates, the result of the function must be a three-component vector. The Calculator interface operates similarly to a scientific calculator. In creating the function to evaluate, the standard order of operations applies.<br
Each of the calculator functions is described below. Unless otherwise noted, enclose the operand in parentheses using the ( and ) buttons.<br
Clear: Erase the current function (displayed in the read-only text box above the calculator buttons).<br
/: Divide one scalar by another. The operands for this function are not required to be enclosed in parentheses.<br
*: Multiply two scalars, or multiply a vector by a scalar (scalar multiple). The operands for this function are not required to be enclosed in parentheses.<br
-: Negate a scalar or vector (unary minus), or subtract one scalar or vector from another. The operands for this function are not required to be enclosed in parentheses.<br
+: Add two scalars or two vectors. The operands for this function are not required to be enclosed in parentheses.<br
sin: Compute the sine of a scalar.<br
cos: Compute the cosine of a scalar.<br
tan: Compute the tangent of a scalar.<br
asin: Compute the arcsine of a scalar.<br
acos: Compute the arccosine of a scalar.<br
atan: Compute the arctangent of a scalar.<br
sinh: Compute the hyperbolic sine of a scalar.<br
cosh: Compute the hyperbolic cosine of a scalar.<br
tanh: Compute the hyperbolic tangent of a scalar.<br
min: Compute minimum of two scalars.<br
max: Compute maximum of two scalars.<br
x^y: Raise one scalar to the power of another scalar. The operands for this function are not required to be enclosed in parentheses.<br
sqrt: Compute the square root of a scalar.<br
e^x: Raise e to the power of a scalar.<br
log: Compute the logarithm of a scalar (deprecated. same as log10).<br
log10: Compute the logarithm of a scalar to the base 10.<br
ln: Compute the logarithm of a scalar to the base 'e'.<br
ceil: Compute the ceiling of a scalar.<br
floor: Compute the floor of a scalar.<br
abs: Compute the absolute value of a scalar.<br
v1.v2: Compute the dot product of two vectors. The operands for this function are not required to be enclosed in parentheses.<br
cross: Compute cross product of two vectors.<br
mag: Compute the magnitude of a vector.<br
norm: Normalize a vector.<br
The operands are described below.<br
The digits 0 - 9 and the decimal point are used to enter constant scalar values.<br
iHat, jHat, and kHat are vector constants representing unit vectors in the X, Y, and Z directions, respectively.<br
The scalars menu lists the names of the scalar arrays and the components of the vector arrays of either the point-centered or cell-centered data. The vectors menu lists the names of the point-centered or cell-centered vector arrays. The function will be computed for each point (or cell) using the scalar or vector value of the array at that point (or cell).<br
The filter operates on any type of data set, but the input data set must have at least one scalar or vector array. The arrays can be either point-centered or cell-centered. The Calculator filter's output is of the same data set type as the input.<br


This filter merges points and converts the data set to unstructured grid.
{| class="PropertiesTable" border="1" cellpadding="5
|
| '''Property''
| '''Description''
| '''Default Value(s)''
| '''Restrictions''
|
| '''Attribute Mode'''<br>''(AttributeMode)'


The Clean to Grid filter merges points that are exactly coincident. It also converts the data set to an unstructured grid. You may wish to do this if you want to apply a filter to your data set that is available for unstructured grids but not for the initial type of your data set (e.g., applying warp vector to volumetric data). The Clean to Grid filter operates on any type of data set.<br>
This property determines whether the computation is to be performed on point-centered or cell-centered data


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Input'''<br>''(Input)''
|
|
This property specifies the input to the Clean to Grid filter.


| �
The value must be one of the following: point_data (1), cell_data (2), field_data (5)
|
The selected object must be the result of the following: sources (includes readers), filters.




The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet.
|
| '''Coordinate Results'''<br>''(CoordinateResults)'


The value of this property determines whether the results of this computation should be used as point coordinates or as a new array
|}


|


==Clip==
Only the values 0 and 1 are accepted




Clip with an implicit plane. Clipping does not reduce the dimensionality of the data set. The output data type of this filter is always an unstructured grid.
|
| '''Function'''<br>''(Function)'


The Clip filter cuts away a portion of the input data set using an implicit plane. This filter operates on all types of data sets, and it returns unstructured grid data on output.<br>
This property contains the equation for computing the new array


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Clip Type'''<br>''(ClipFunction)''
|
|
This property specifies the parameters of the clip function (an implicit plane) used to clip the dataset.
|
|
| '''Input'''<br>''(Input)'


| �
This property specifies the input dataset to the Calculator filter. The scalar and vector variables may be chosen from this dataset's arrays
|
The value must be set to one of the following: Plane, Box, Sphere, Scalar.


|-
| '''Input'''<br>''(Input)''
|
|
This property specifies the dataset on which the Clip filter will operate.


| �
The selected object must be the result of the following: sources (includes readers), filters
|
The selected object must be the result of the following: sources (includes readers), filters.




The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet.
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet


|-
| '''Inside Out'''<br>''(InsideOut)''
|
If this property is set to 0, the clip filter will return that portion of the dataset that lies within the clip function. If set to 1, the portions of the dataset that lie outside the clip function will be returned instead.


| 0
|
|
Only the values 0 and 1 are accepted.
| '''Replace Invalid Results'''<br>''(ReplaceInvalidValues)'


This property determines whether invalid values in the computation will be replaced with a specific value. (See the ReplacementValue property.
|-
| '''Scalars'''<br>''(SelectInputScalars)''
|
If clipping with scalars, this property specifies the name of the scalar array on which to perform the clip operation.


| �
|
|
An array of scalars is required.


Only the values 0 and 1 are accepted


Valud array names will be chosen from point and cell data.


|-
| '''Use Value As Offset'''<br>''(UseValueAsOffset)''
|
|
If UseValueAsOffset is true, Value is used as an offset parameter to the implicit function. Otherwise, Value is used only when clipping using a scalar array.
| '''Replacement Value'''<br>''(ReplacementValue)'


| 0
If invalid values in the computation are to be replaced with another value, this property contains that value
 
|
|
|
Only the values 0 and 1 are accepted.
|-
| '''Value'''<br>''(Value)''
|
|
If clipping with scalars, this property sets the scalar value about which to clip the dataset based on the scalar array chosen. (See SelectInputScalars.) If clipping with a clip function, this property specifies an offset from the clip function to use in the clipping operation. Neither functionality is currently available in ParaView's user interface.
| '''Result Array Name'''<br>''(ResultArrayName)'


| 0
This property contains the name for the output array containing the result of this computation
 
| Resul
|
|
|
The value must lie within the range of the selected data array.


|}


==Cell Centers=


==Clip Closed Surface==


Create a point (no geometry) at the center of each input cell


Clip a polygonal dataset with a plane to produce closed surfaces
The Cell Centers filter places a point at the center of each cell in the input data set. The center computed is the parametric center of the cell, not necessarily the geometric or bounding box center. The cell attributes of the input will be associated with these newly created points of the output. You have the option of creating a vertex cell per point in the outpuut. This is useful because vertex cells are rendered, but points are not. The points themselves could be used for placing glyphs (using the Glyph filter). The Cell Centers filter takes any type of data set as input and produces a polygonal data set as output.<br


This clip filter cuts away a portion of the input polygonal dataset using a plane to generate a new polygonal dataset.<br>
{| class="PropertiesTable" border="1" cellpadding="5
|
| '''Property''
| '''Description''
| '''Default Value(s)''
| '''Restrictions''
|
| '''Input'''<br>''(Input)'
 
This property specifies the input to the Cell Centers filter


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Base Color'''<br>''(BaseColor)''
|
|
Specify the color for the faces from the input.


| 0.1 0.1 1
The selected object must be the result of the following: sources (includes readers), filters
|
The value must be greater than or equal to (0, 0, 0) and less than or equal to (1, 1, 1).


|-
| '''Clip Color'''<br>''(ClipColor)''
|
Specifiy the color for the capping faces (generated on the clipping interface).


| 1 0.11 0.1
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet
|
The value must be greater than or equal to (0, 0, 0) and less than or equal to (1, 1, 1).


|-
| '''Clipping Plane'''<br>''(ClippingPlane)''
|
This property specifies the parameters of the clipping plane used to clip the polygonal data.


| �
|
|
The value must be set to one of the following: Plane.
| '''Vertex Cells'''<br>''(VertexCells)'


If set to 1, a vertex cell will be generated per point in the output. Otherwise only points will be generated
|-
| '''Generate Cell Origins'''<br>''(GenerateColorScalars)''
|
Generate (cell) data for coloring purposes such that the newly generated cells (including capping faces and clipping outlines) can be distinguished from the input cells.


| 0
|
|
Only the values 0 and 1 are accepted.


Only the values 0 and 1 are accepted
|-
| '''Generate Faces'''<br>''(GenerateFaces)''
|
Generate polygonal faces in the output.


| 1
|
Only the values 0 and 1 are accepted.


|-
| '''Generate Outline'''<br>''(GenerateOutline)''
|
|
Generate clipping outlines in the output wherever an input face is cut by the clipping plane.


| 0
|
Only the values 0 and 1 are accepted.


==Cell Data to Point Data=
|-
| '''Input'''<br>''(Input)''
|
This property specifies the dataset on which the Clip filter will operate.


| �
|
The selected object must be the result of the following: sources (includes readers), filters.


Create point attributes by averaging cell attributes


The selected dataset must be one of the following types (or a subclass of one of them): vtkPolyData.
The Cell Data to Point Data filter averages the values of the cell attributes of the cells surrounding a point to compute point attributes. The Cell Data to Point Data filter operates on any type of data set, and the output data set is of the same type as the input.<br


{| class="PropertiesTable" border="1" cellpadding="5
|-
| '''Inside Out'''<br>''(InsideOut)''
|
|
If this flag is turned off, the clipper will return the portion of the data that lies within the clipping plane. Otherwise, the clipper will return the portion of the data that lies outside the clipping plane.
| '''Property''
| '''Description''
| '''Default Value(s)''
| '''Restrictions''
|
| '''Input'''<br>''(Input)'


| 0
This property specifies the input to the Cell Data to Point Data filter
|
Only the values 0 and 1 are accepted.


|-
| '''Clipping Tolerance'''<br>''(Tolerance)''
|
|
Specify the tolerance for creating new points. A small value might incur degenerate triangles.


| 1e-06
The selected object must be the result of the following: sources (includes readers), filters
| �
|}




==Compute Derivatives==
The dataset must contain a cell array




This filter computes derivatives of scalars and vectors.
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet


CellDerivatives is a filter that computes derivatives of scalars and vectors at the center of cells. You can choose to generate different output including the scalar gradient (a vector), computed tensor vorticity (a vector), gradient of input vectors (a tensor), and strain matrix of the input vectors (a tensor); or you may choose to pass data through to the output.<br>


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Input'''<br>''(Input)''
|
|
This property specifies the input to the filter.
| '''Pass Cell Data'''<br>''(PassCellData)'
 
If this property is set to 1, then the input cell data is passed through to the output; otherwise, only the generated point data will be available in the output


| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.


Only the values 0 and 1 are accepted


The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet.


|-
| '''Output Tensor Type'''<br>''(OutputTensorType)''
|
|
This property controls how the filter works to generate tensor cell data. You can choose to compute the gradient of the input vectors, or compute the strain tensor of the vector gradient tensor. By default, the filter will take the gradient of the vector data to construct a tensor.


| 1
|
The value must be one of the following: Nothing (0), Vector Gradient (1), Strain (2).


==Clean=
|-
| '''Output Vector Type'''<br>''(OutputVectorType)''
|
This property Controls how the filter works to generate vector cell data. You can choose to compute the gradient of the input scalars, or extract the vorticity of the computed vector gradient tensor. By default, the filter will take the gradient of the input scalar data.


| 1
|
The value must be one of the following: Nothing (0), Scalar Gradient (1), Vorticity (2).


Merge coincident points if they do not meet a feature edge criteria
|-
| '''Scalars'''<br>''(SelectInputScalars)''
|
This property indicates the name of the scalar array to differentiate.


| �
The Clean filter takes polygonal data as input and generates polygonal data as output. This filter can merge duplicate points, remove unused points, and transform degenerate cells into their appropriate forms (e.g., a triangle is converted into a line if two of its points are merged).<br
|
An array of scalars is required.


{| class="PropertiesTable" border="1" cellpadding="5
|-
| '''Vectors'''<br>''(SelectInputVectors)''
|
|
This property indicates the name of the vector array to differentiate.
| '''Property''
 
| '''Description''
| 1
| '''Default Value(s)''
| '''Restrictions''
|
|
An array of vectors is required.
| '''Absolute Tolerance'''<br>''(AbsoluteTolerance)'


If merging nearby points (see PointMerging property) and using absolute tolerance (see ToleranceIsAbsolute property), this property specifies the tolerance for performing merging in the spatial units of the input data set
|}


|


==Connectivity==
The value must be greater than or equal to 0




Mark connected components with integer point attribute array.
|
| '''Convert Lines To Points'''<br>''(ConvertLinesToPoints)'


The Connectivity filter assigns a region id to connected components of the input data set. (The region id is assigned as a point scalar value.) This filter takes any data set type as input and produces unstructured grid output.<br>
If this property is set to 1, degenerate lines (a "line" whose endpoints are at the same spatial location) will be converted to points


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Color Regions'''<br>''(ColorRegions)''
|
|
Controls the coloring of the connected regions.


| 1
Only the values 0 and 1 are accepted
|
Only the values 0 and 1 are accepted.


|-
| '''Extraction Mode'''<br>''(ExtractionMode)''
|
Controls the extraction of connected surfaces.


| 5
|
|
The value must be one of the following: Extract Point Seeded Regions (1), Extract Cell Seeded Regions (2), Extract Specified Regions (3), Extract Largest Region (4), Extract All Regions (5), Extract Closes Point Region (6).
| '''Convert Polys To Lines'''<br>''(ConvertPolysToLines)'


If this property is set to 1, degenerate polygons (a "polygon" with only two distinct point coordinates) will be converted to lines
|-
| '''Input'''<br>''(Input)''
|
This property specifies the input to the Connectivity filter.


| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.


Only the values 0 and 1 are accepted


The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet.


|
|}
| '''Convert Strips To Polys'''<br>''(ConvertStripsToPolys)'


If this property is set to 1, degenerate triangle strips (a triangle "strip" containing only one triangle) will be converted to triangles


==Contingency Statistics==
|


Only the values 0 and 1 are accepted


Compute a statistical model of a dataset and/or assess the dataset with a statistical model.


This filter either computes a statistical model of a dataset or takes such a model as its second input.  Then, the model (however it is obtained) may optionally be used to assess the input dataset.<br>
|
This filter computes contingency tables between pairs of attributes.  This result is a tabular bivariate probability distribution which serves as a Bayesian-style prior model.  Data is assessed by computing <br>
| '''Input'''<br>''(Input)'
*  the probability of observing both variables simultaneously;<br>
 
*  the probability of each variable conditioned on the other (the two values need not be identical); and<br>
Set the input to the Clean filter
*  the pointwise mutual information (PMI).
<br>
Finally, the summary statistics include the information entropy of the observations.<br>


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Attribute Mode'''<br>''(AttributeMode)''
|
|
Specify which type of field data the arrays will be drawn from.


| 0
The selected object must be the result of the following: sources (includes readers), filters
|
 
Valud array names will be chosen from point and cell data.
 
The selected dataset must be one of the following types (or a subclass of one of them): vtkPolyData


|-
| '''Input'''<br>''(Input)''
|
The input to the filter.  Arrays from this dataset will be used for computing statistics and/or assessed by a statistical model.


| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.
| '''Piece Invariant'''<br>''(PieceInvariant)'


If this property is set to 1, the whole data set will be processed at once so that cleaning the data set always produces the same results. If it is set to 0, the data set can be processed one piece at a time, so it is not necessary for the entire data set to fit into memory; however the results are not guaranteed to be the same as they would be if the Piece invariant option was on. Setting this option to 0 may produce seams in the output dataset when ParaView is run in parallel


The dataset must contain a point or cell array.
|


Only the values 0 and 1 are accepted


The selected dataset must be one of the following types (or a subclass of one of them): vtkImageData, vtkStructuredGrid, vtkPolyData, vtkUnstructuredGrid, vtkTable, vtkGraph.


|-
| '''Model Input'''<br>''(ModelInput)''
|
|
A previously-calculated model with which to assess a separate dataset. This input is optional.
| '''Point Merging'''<br>''(PointMerging)'
 
If this property is set to 1, then points will be merged if they are within the specified Tolerance or AbsoluteTolerance (see the Tolerance and AbsoluteTolerance propertys), depending on the value of the ToleranceIsAbsolute property. (See the ToleranceIsAbsolute property.) If this property is set to 0, points will not be merged


| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.


Only the values 0 and 1 are accepted


The selected dataset must be one of the following types (or a subclass of one of them): vtkTable, vtkMultiBlockDataSet.


|-
| '''Variables of Interest'''<br>''(SelectArrays)''
|
|
Choose arrays whose entries will be used to form observations for statistical analysis.
| '''Tolerance'''<br>''(Tolerance)'
 
If merging nearby points (see PointMerging property) and not using absolute tolerance (see ToleranceIsAbsolute property), this property specifies the tolerance for performing merging as a fraction of the length of the diagonal of the bounding box of the input data set


| �
|
|
An array of scalars is required.


The value must be greater than or equal to 0 and less than or equal to 1
|-
 
| '''Task'''<br>''(Task)''
 
|
|
Specify the task to be performed: modeling and/or assessment.
| '''Tolerance Is Absolute'''<br>''(ToleranceIsAbsolute)'
#  "Statistics of all the data," creates an output table (or tables) summarizing the '''entire''' input dataset;
#  "Model a subset of the data," creates an output table (or tables) summarizing a '''randomly-chosen subset''' of the input dataset;
#  "Assess the data with a model," adds attributes to the first input dataset using a model provided on the second input port; and
#  "Model and assess the same data," is really just operations 2 and 3 above applied to the same input dataset.  The model is first trained using a fraction of the input data and then the entire dataset is assessed using that model.


When the task includes creating a model (i.e., tasks 2, and 4), you may adjust the fraction of the input dataset used for training.  You should avoid using a large fraction of the input data for training as you will then not be able to detect overfitting.  The ''Training fraction'' setting will be ignored for tasks 1 and 3.
This property determines whether to use absolute or relative (a percentage of the bounding box) tolerance when performing point merging


| 3
|
|
The value must be one of the following: Statistics of all the data (0), Model a subset of the data (1), Assess the data with a model (2), Model and assess the same data (3).


Only the values 0 and 1 are accepted
|-
 
| '''Training Fraction'''<br>''(TrainingFraction)''
|
Specify the fraction of values from the input dataset to be used for model fitting. The exact set of values is chosen at random from the dataset.


| 0.1
|
|
The value must be greater than or equal to 0 and less than or equal to 1.
|}




==Contour==
==Clean to Grid=




Generate isolines or isosurfaces using point scalars.
This filter merges points and converts the data set to unstructured grid


The Contour filter computes isolines or isosurfaces using a selected point-centered scalar array. The Contour filter operates on any type of data set, but the input is required to have at least one point-centered scalar (single-component) array. The output of this filter is polygonal.<br>
The Clean to Grid filter merges points that are exactly coincident. It also converts the data set to an unstructured grid. You may wish to do this if you want to apply a filter to your data set that is available for unstructured grids but not for the initial type of your data set (e.g., applying warp vector to volumetric data). The Clean to Grid filter operates on any type of data set.<br


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Compute Gradients'''<br>''(ComputeGradients)''
|
|
If this property is set to 1, a scalar array containing a gradient value at each point in the isosurface or isoline will be created by this filter; otherwise an array of gradients will not be computed. This operation is fairly expensive both in terms of computation time and memory required, so if the output dataset produced by the contour filter will be processed by filters that modify the dataset's topology or geometry, it may be wise to set the value of this property to 0. Not that if ComputeNormals is set to 1, then gradients will have to be calculated, but they will only be stored in the output dataset if ComputeGradients is also set to 1.
| '''Property''
 
| '''Description''
| 0
| '''Default Value(s)''
| '''Restrictions''
|
|
Only the values 0 and 1 are accepted.
| '''Input'''<br>''(Input)'


This property specifies the input to the Clean to Grid filter
|-
| '''Compute Normals'''<br>''(ComputeNormals)''
|
If this property is set to 1, a scalar array containing a normal value at each point in the isosurface or isoline will be created by the contour filter; otherwise an array of normals will not be computed. This operation is fairly expensive both in terms of computation time and memory required, so if the output dataset produced by the contour filter will be processed by filters that modify the dataset's topology or geometry, it may be wise to set the value of this property to 0.
Select whether to compute normals.


| 1
|
|
Only the values 0 and 1 are accepted.


The selected object must be the result of the following: sources (includes readers), filters
|-
| '''Compute Scalars'''<br>''(ComputeScalars)''
|
If this property is set to 1, an array of scalars (containing the contour value) will be added to the output dataset. If set to 0, the output will not contain this array.


| 0
|
Only the values 0 and 1 are accepted.


The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet
|-
| '''Isosurfaces'''<br>''(ContourValues)''
|
This property specifies the values at which to compute isosurfaces/isolines and also the number of such values.


| �
|
The value must lie within the range of the selected data array.


|-
| '''Input'''<br>''(Input)''
|
|
This property specifies the input dataset to be used by the contour filter.


| �
|
The selected object must be the result of the following: sources (includes readers), filters.


==Clip=


The dataset must contain a point or cell array with 1 components.


Clip with an implicit plane. Clipping does not reduce the dimensionality of the data set. The output data type of this filter is always an unstructured grid


The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet.
The Clip filter cuts away a portion of the input data set using an implicit plane. This filter operates on all types of data sets, and it returns unstructured grid data on output.<br


{| class="PropertiesTable" border="1" cellpadding="5
|-
|
| '''Point Merge Method'''<br>''(Locator)''
| '''Property''
| '''Description''
| '''Default Value(s)''
| '''Restrictions''
|
|
This property specifies an incremental point locator for merging duplicate / coincident points.
| '''Clip Type'''<br>''(ClipFunction)'
 
This property specifies the parameters of the clip function (an implicit plane) used to clip the dataset


| �
|
|
The selected object must be the result of the following: incremental_point_locators.


The value must be set to one of the following: Plane, Box, Sphere, Scalar


The value must be set to one of the following: MergePoints, IncrementalOctreeMergePoints, NonMergingPointLocator.


|-
| '''Contour By'''<br>''(SelectInputScalars)''
|
|
This property specifies the name of the scalar array from which the contour filter will compute isolines and/or isosurfaces.
| '''Input'''<br>''(Input)'
 
This property specifies the dataset on which the Clip filter will operate


| �
|
|
An array of scalars is required.


The selected object must be the result of the following: sources (includes readers), filters


Valud array names will be chosen from point and cell data.


The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet
|}




==Cosmology FOF Halo Finder==
|
| '''Inside Out'''<br>''(InsideOut)'


If this property is set to 0, the clip filter will return that portion of the dataset that lies within the clip function. If set to 1, the portions of the dataset that lie outside the clip function will be returned instead


Sorry, no help is currently available.
|


Only the values 0 and 1 are accepted




{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''bb (linking length/distance)'''<br>''(BB)''
|
|
Linking length measured in units of interparticle spacing and is dimensionless.  Used to link particles into halos for the friend-of-a-friend algorithm.
| '''Scalars'''<br>''(SelectInputScalars)'
 
If clipping with scalars, this property specifies the name of the scalar array on which to perform the clip operation


| 0.2
|
|
The value must be greater than or equal to 0.


An array of scalars is required
|-
| '''Compute the most bound particle for halos'''<br>''(ComputeMostBoundParticle)''
|
If checked, the most bound particle will be calculated.  This can be very slow.


| 0
|
Only the values 0 and 1 are accepted.


Valud array names will be chosen from point and cell data
|-
| '''Compute the most connected particle for halos'''<br>''(ComputeMostConnectedParticle)''
|
If checked, the most connected particle will be calculated.  This can be very slow.


| 0
|
Only the values 0 and 1 are accepted.


|-
| '''Copy halo catalog information to original particles'''<br>''(CopyHaloDataToParticles)''
|
|
If checked, the halo catalog information will be copied to the original particles as well.
| '''Use Value As Offset'''<br>''(UseValueAsOffset)'


| 1
If UseValueAsOffset is true, Value is used as an offset parameter to the implicit function. Otherwise, Value is used only when clipping using a scalar array
|
Only the values 0 and 1 are accepted.


|-
| '''Halo position for 3D visualization'''<br>''(HaloPositionType)''
|
|
This sets the position for the halo catalog particles (second output) in 3D space for visualization.  Input particle positions (first output) will be unaltered by this.  MBP and MCP for particle positions can potentially take a very long time to calculate.


| 0
Only the values 0 and 1 are accepted
 
 
|
|
The value must be one of the following: Average (0), Center of Mass (1), Most Bound Particle (2), Most Connected Particle (3).
| '''Value'''<br>''(Value)'
 
If clipping with scalars, this property sets the scalar value about which to clip the dataset based on the scalar array chosen. (See SelectInputScalars.) If clipping with a clip function, this property specifies an offset from the clip function to use in the clipping operation. Neither functionality is currently available in ParaView's user interface


|-
| '''Input'''<br>''(Input)''
| �
| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.


The value must lie within the range of the selected data array


The selected dataset must be one of the following types (or a subclass of one of them): vtkUnstructuredGrid.


|-
| '''np (number of seeded particles in one dimension, i.e., total particles = np^3)'''<br>''(NP)''
|
|
Number of seeded particles in one dimension.  Therefore, total simulation particles is np^3 (cubed).


| 256
|
The value must be greater than or equal to 0.


==Clip Closed Surface=
|-
 
| '''overlap (shared point/ghost cell gap distance)'''<br>''(Overlap)''
 
|
Clip a polygonal dataset with a plane to produce closed surface
The space in rL units to extend processor particle ownership for ghost particles/cells.  Needed for correct halo calculation when halos cross processor boundaries in parallel computation.


| 5
This clip filter cuts away a portion of the input polygonal dataset using a plane to generate a new polygonal dataset.<br
|
The value must be greater than or equal to 0.


{| class="PropertiesTable" border="1" cellpadding="5
|-
| '''pmin (minimum particle threshold for a halo)'''<br>''(PMin)''
|
|
Minimum number of particles (threshold) needed before a group is called a halo.
| '''Property''
 
| '''Description''
| 10
| '''Default Value(s)''
| '''Restrictions''
|
|
The value must be greater than or equal to 1.
| '''Base Color'''<br>''(BaseColor)'


Specify the color for the faces from the input
|-
| '''rL (physical box side length)'''<br>''(RL)''
|
The box side length used to wrap particles around if they exceed rL (or less than 0) in any dimension (only positive positions are allowed in the input, or the are wrapped around).


| 90.1408
| 0.1 0.1
|
The value must be greater than or equal to 0.


The value must be greater than or equal to (0, 0, 0) and less than or equal to (1, 1, 1)
|}




==Curvature==
|
| '''Clip Color'''<br>''(ClipColor)'


Specifiy the color for the capping faces (generated on the clipping interface)


This filter will compute the Gaussian or mean curvature of the mesh at each point.
| 1 0.11 0.


The Curvature filter computes the curvature at each point in a polygonal data set. This filter supports both Gaussian and mean curvatures.<br><br><br>
The value must be greater than or equal to (0, 0, 0) and less than or equal to (1, 1, 1)
; the type can be selected from the Curvature type menu button.<br>


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Curvature Type'''<br>''(CurvatureType)''
|
This propery specifies which type of curvature to compute.


| 0
|
|
The value must be one of the following: Gaussian (0), Mean (1).
| '''Clipping Plane'''<br>''(ClippingPlane)'


This property specifies the parameters of the clipping plane used to clip the polygonal data
|-
| '''Input'''<br>''(Input)''
|
This property specifies the input to the Curvature filter.


| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.


The value must be set to one of the following: Plane


The selected dataset must be one of the following types (or a subclass of one of them): vtkPolyData.


|-
| '''Invert Mean Curvature'''<br>''(InvertMeanCurvature)''
|
|
If this property is set to 1, the mean curvature calculation will be inverted. This is useful for meshes with inward-pointing normals.
| '''Generate Cell Origins'''<br>''(GenerateColorScalars)'
 
Generate (cell) data for coloring purposes such that the newly generated cells (including capping faces and clipping outlines) can be distinguished from the input cells


| 0
|
|
Only the values 0 and 1 are accepted.


Only the values 0 and 1 are accepted
|}




==D3==
|
| '''Generate Faces'''<br>''(GenerateFaces)'


Generate polygonal faces in the output


Repartition a data set into load-balanced spatially convex regions.  Create ghost cells if requested.
|


The D3 filter is available when ParaView is run in parallel. It operates on any type of data set to evenly divide it across the processors into spatially contiguous regions. The output of this filter is of type unstructured grid.<br>
Only the values 0 and 1 are accepted


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Boundary Mode'''<br>''(BoundaryMode)''
|
This property determines how cells that lie on processor boundaries are handled. The "Assign cells uniquely" option assigns each boundary cell to exactly one process, which is useful for isosurfacing. Selecting "Duplicate cells" causes the cells on the boundaries to be copied to each process that shares that boundary. The "Divide cells" option breaks cells across process boundary lines so that pieces of the cell lie in different processes. This option is useful for volume rendering.


| 0
|
|
The value must be one of the following: Assign cells uniquely (0), Duplicate cells (1), Divide cells (2).
| '''Generate Outline'''<br>''(GenerateOutline)'


Generate clipping outlines in the output wherever an input face is cut by the clipping plane
|-
| '''Input'''<br>''(Input)''
|
This property specifies the input to the D3 filter.


| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.


Only the values 0 and 1 are accepted


The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet.


|-
| '''Minimal Memory'''<br>''(UseMinimalMemory)''
|
|
If this property is set to 1, the D3 filter requires communication routines to use minimal memory than without this restriction.
| '''Input'''<br>''(Input)'
 
This property specifies the dataset on which the Clip filter will operate


| 0
|
|
Only the values 0 and 1 are accepted.


The selected object must be the result of the following: sources (includes readers), filters
|}




==Decimate==
The selected dataset must be one of the following types (or a subclass of one of them): vtkPolyData




Simplify a polygonal model using an adaptive edge collapse algorithm.  This filter works with triangles only.
|
| '''Inside Out'''<br>''(InsideOut)'


The Decimate filter reduces the number of triangles in a polygonal data set. Because this filter only operates on triangles, first run the Triangulate filter on a dataset that contains polygons other than triangles.<br>
If this flag is turned off, the clipper will return the portion of the data that lies within the clipping plane. Otherwise, the clipper will return the portion of the data that lies outside the clipping plane


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Boundary Vertex Deletion'''<br>''(BoundaryVertexDeletion)''
|
|
If this property is set to 1, then vertices on the boundary of the dataset can be removed. Setting the value of this property to 0 preserves the boundary of the dataset, but it may cause the filter not to reach its reduction target.


| 1
Only the values 0 and 1 are accepted
 
 
|
|
Only the values 0 and 1 are accepted.
| '''Clipping Tolerance'''<br>''(Tolerance)'


Specify the tolerance for creating new points. A small value might incur degenerate triangles
|-
| '''Feature Angle'''<br>''(FeatureAngle)''
|
The value of thie property is used in determining where the data set may be split. If the angle between two adjacent triangles is greater than or equal to the FeatureAngle value, then their boundary is considered a feature edge where the dataset can be split.


| 15
| 1e-0
|
|
The value must be greater than or equal to 0 and less than or equal to 180.
|-
| '''Input'''<br>''(Input)''
|
|
This property specifies the input to the Decimate filter.


| �
|
The selected object must be the result of the following: sources (includes readers), filters.


==Compute Derivatives=


The selected dataset must be one of the following types (or a subclass of one of them): vtkPolyData.


This filter computes derivatives of scalars and vectors
|-
| '''Preserve Topology'''<br>''(PreserveTopology)''
|
If this property is set to 1, decimation will not split the dataset or produce holes, but it may keep the filter from reaching the reduction target. If it is set to 0, better reduction can occur (reaching the reduction target), but holes in the model may be produced.


| 0
CellDerivatives is a filter that computes derivatives of scalars and vectors at the center of cells. You can choose to generate different output including the scalar gradient (a vector), computed tensor vorticity (a vector), gradient of input vectors (a tensor), and strain matrix of the input vectors (a tensor); or you may choose to pass data through to the output.<br
|
Only the values 0 and 1 are accepted.


{| class="PropertiesTable" border="1" cellpadding="5
|-
| '''Target Reduction'''<br>''(TargetReduction)''
|
|
This property specifies the desired reduction in the total number of polygons in the output dataset. For example, if the TargetReduction value is 0.9, the Decimate filter will attempt to produce an output dataset that is 10% the size of the input.)
| '''Property''
 
| '''Description''
| 0.9
| '''Default Value(s)''
| '''Restrictions''
|
|
The value must be greater than or equal to 0 and less than or equal to 1.
| '''Input'''<br>''(Input)'


This property specifies the input to the filter
|}


|


==Delaunay 2D==
The selected object must be the result of the following: sources (includes readers), filters




Create 2D Delaunay triangulation of input points. It expects a vtkPointSet as input and produces vtkPolyData as output. The points are expected to be in a mostly planar distribution.
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet


Delaunay2D is a filter that constructs a 2D Delaunay triangulation from a list of input points. These points may be represented by any dataset of type vtkPointSet and subclasses. The output of the filter is a polygonal dataset containing a triangle mesh.<br><br><br>
The 2D Delaunay triangulation is defined as the triangulation that satisfies the Delaunay criterion for n-dimensional simplexes (in this case n=2 and the simplexes are triangles). This criterion states that a circumsphere of each simplex in a triangulation contains only the n+1 defining points of the simplex. In two dimensions, this translates into an optimal triangulation. That is, the maximum interior angle of any triangle is less than or equal to that of any possible triangulation.<br><br><br>
Delaunay triangulations are used to build topological structures from unorganized (or unstructured) points. The input to this filter is a list of points specified in 3D, even though the triangulation is 2D. Thus the triangulation is constructed in the x-y plane, and the z coordinate is ignored (although carried through to the output). You can use the option ProjectionPlaneMode in order to compute the best-fitting plane to the set of points, project the points and that plane and then perform the triangulation using their projected positions and then use it as the plane in which the triangulation is performed.<br><br><br>
The Delaunay triangulation can be numerically sensitive in some cases. To prevent problems, try to avoid injecting points that will result in triangles with bad aspect ratios (1000:1 or greater). In practice this means inserting points that are "widely dispersed", and enables smooth transition of triangle sizes throughout the mesh. (You may even want to add extra points to create a better point distribution.) If numerical problems are present, you will see a warning message to this effect at the end of the triangulation process.<br><br><br>
Warning:<br>
Points arranged on a regular lattice (termed degenerate cases) can be triangulated in more than one way (at least according to the Delaunay criterion). The choice of triangulation (as implemented by this algorithm) depends on the order of the input points. The first three points will form a triangle; other degenerate points will not break this triangle.<br><br><br>
Points that are coincident (or nearly so) may be discarded by the algorithm. This is because the Delaunay triangulation requires unique input points. The output of the Delaunay triangulation is supposedly a convex hull. In certain cases this implementation may not generate the convex hull.<br>


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Alpha'''<br>''(Alpha)''
|
|
The value of this property controls the output of this filter. For a non-zero alpha value, only edges or triangles contained within a sphere centered at mesh vertices will be output. Otherwise, only triangles will be output.
| '''Output Tensor Type'''<br>''(OutputTensorType)'


| 0
This property controls how the filter works to generate tensor cell data. You can choose to compute the gradient of the input vectors, or compute the strain tensor of the vector gradient tensor. By default, the filter will take the gradient of the vector data to construct a tensor
|
The value must be greater than or equal to 0.


|-
| '''Bounding Triangulation'''<br>''(BoundingTriangulation)''
|
|
If this property is set to 1, bounding triangulation points (and associated triangles) are included in the output. These are introduced as an initial triangulation to begin the triangulation process. This feature is nice for debugging output.


| 0
The value must be one of the following: Nothing (0), Vector Gradient (1), Strain (2)
 
 
|
|
Only the values 0 and 1 are accepted.
| '''Output Vector Type'''<br>''(OutputVectorType)'


This property Controls how the filter works to generate vector cell data. You can choose to compute the gradient of the input scalars, or extract the vorticity of the computed vector gradient tensor. By default, the filter will take the gradient of the input scalar data
|-
| '''Input'''<br>''(Input)''
|
This property specifies the input dataset to the Delaunay 2D filter.


| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.


The value must be one of the following: Nothing (0), Scalar Gradient (1), Vorticity (2)


The selected dataset must be one of the following types (or a subclass of one of them): vtkPointSet.


|-
| '''Offset'''<br>''(Offset)''
|
|
This property is a multiplier to control the size of the initial, bounding Delaunay triangulation.
| '''Scalars'''<br>''(SelectInputScalars)'
 
This property indicates the name of the scalar array to differentiate


| 1
|
|
The value must be greater than or equal to 0.75.


An array of scalars is required
|-
 
| '''Projection Plane Mode'''<br>''(ProjectionPlaneMode)''
|
This property determines type of projection plane to use in performing the triangulation.


| 0
|
|
The value must be one of the following: XY Plane (0), Best-Fitting Plane (2).
| '''Vectors'''<br>''(SelectInputVectors)'


This property indicates the name of the vector array to differentiate
|-
| '''Tolerance'''<br>''(Tolerance)''
|
This property specifies a tolerance to control discarding of closely spaced points. This tolerance is specified as a fraction of the diagonal length of the bounding box of the points.


| 1e-05
|
|
The value must be greater than or equal to 0 and less than or equal to 1.


An array of vectors is required
|}




==Delaunay 3D==
|




Create a 3D Delaunay triangulation of input                                points.  It expects a vtkPointSet as input and                                produces vtkUnstructuredGrid as output.
==Connectivity=


Delaunay3D is a filter that constructs a 3D Delaunay triangulation<br>
from a list of input points. These points may be represented by any<br>
dataset of type vtkPointSet and subclasses. The output of the filter<br>
is an unstructured grid dataset. Usually the output is a tetrahedral<br>
mesh, but if a non-zero alpha distance value is specified (called<br>
the "alpha" value), then only tetrahedra, triangles, edges, and<br>
vertices lying within the alpha radius are output. In other words,<br>
non-zero alpha values may result in arbitrary combinations of<br>
tetrahedra, triangles, lines, and vertices. (The notion of alpha<br>
value is derived from Edelsbrunner's work on "alpha shapes".)<br><br><br>
The 3D Delaunay triangulation is defined as the triangulation that<br>
satisfies the Delaunay criterion for n-dimensional simplexes (in<br>
this case n=3 and the simplexes are tetrahedra). This criterion<br>
states that a circumsphere of each simplex in a triangulation<br>
contains only the n+1 defining points of the simplex. (See text for<br>
more information.) While in two dimensions this translates into an<br>
"optimal" triangulation, this is not true in 3D, since a measurement<br>
for optimality in 3D is not agreed on.<br><br><br>
Delaunay triangulations are used to build topological structures<br>
from unorganized (or unstructured) points. The input to this filter<br>
is a list of points specified in 3D. (If you wish to create 2D<br>
triangulations see Delaunay2D.) The output is an unstructured<br>
grid.<br><br><br>
The Delaunay triangulation can be numerically sensitive. To prevent<br>
problems, try to avoid injecting points that will result in<br>
triangles with bad aspect ratios (1000:1 or greater). In practice<br>
this means inserting points that are "widely dispersed", and enables<br>
smooth transition of triangle sizes throughout the mesh. (You may<br>
even want to add extra points to create a better point<br>
distribution.) If numerical problems are present, you will see a<br>
warning message to this effect at the end of the triangulation<br>
process.<br><br><br>
Warning:<br>
Points arranged on a regular lattice (termed degenerate cases) can<br>
be triangulated in more than one way (at least according to the<br>
Delaunay criterion). The choice of triangulation (as implemented by<br>
this algorithm) depends on the order of the input points. The first<br>
four points will form a tetrahedron; other degenerate points<br>
(relative to this initial tetrahedron) will not break it.<br><br><br>
Points that are coincident (or nearly so) may be discarded by the<br>
algorithm. This is because the Delaunay triangulation requires<br>
unique input points. You can control the definition of coincidence<br>
with the "Tolerance" instance variable.<br><br><br>
The output of the Delaunay triangulation is supposedly a convex<br>
hull. In certain cases this implementation may not generate the<br>
convex hull. This behavior can be controlled by the Offset instance<br>
variable. Offset is a multiplier used to control the size of the<br>
initial triangulation. The larger the offset value, the more likely<br>
you will generate a convex hull; and the more likely you are to see<br>
numerical problems.<br><br><br>
The implementation of this algorithm varies from the 2D Delaunay<br>
algorithm (i.e., Delaunay2D) in an important way. When points are<br>
injected into the triangulation, the search for the enclosing<br>
tetrahedron is quite different. In the 3D case, the closest<br>
previously inserted point point is found, and then the connected<br>
tetrahedra are searched to find the containing one. (In 2D, a "walk"<br>
towards the enclosing triangle is performed.) If the triangulation<br>
is Delaunay, then an enclosing tetrahedron will be found. However,<br>
in degenerate cases an enclosing tetrahedron may not be found and<br>
the point will be rejected.<br>


{| class="PropertiesTable" border="1" cellpadding="5"
Mark connected components with integer point attribute array
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Alpha'''<br>''(Alpha)''
|
This property specifies the alpha (or distance) value to control
the output of this filter.  For a non-zero alpha value, only
edges, faces, or tetra contained within the circumsphere (of
radius alpha) will be output.  Otherwise, only tetrahedra will be
output.


| 0
The Connectivity filter assigns a region id to connected components of the input data set. (The region id is assigned as a point scalar value.) This filter takes any data set type as input and produces unstructured grid output.<br
|
The value must be greater than or equal to 0.


{| class="PropertiesTable" border="1" cellpadding="5
|-
| '''Bounding Triangulation'''<br>''(BoundingTriangulation)''
|
|
This boolean controls whether bounding triangulation points (and
| '''Property''
associated triangles) are included in the output. (These are
| '''Description''
introduced as an initial triangulation to begin the triangulation
| '''Default Value(s)''
process. This feature is nice for debugging output.)
| '''Restrictions''
 
| 0
|
|
Only the values 0 and 1 are accepted.
| '''Color Regions'''<br>''(ColorRegions)'


Controls the coloring of the connected regions
|-
| '''Input'''<br>''(Input)''
|
This property specifies the input dataset to the Delaunay 3D filter.


| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.


Only the values 0 and 1 are accepted


The selected dataset must be one of the following types (or a subclass of one of them): vtkPointSet.


|-
| '''Offset'''<br>''(Offset)''
|
|
This property specifies a multiplier to control the size of the
| '''Extraction Mode'''<br>''(ExtractionMode)'
initial, bounding Delaunay triangulation.
 
Controls the extraction of connected surfaces


| 2.5
|
|
The value must be greater than or equal to 2.5.


The value must be one of the following: Extract Point Seeded Regions (1), Extract Cell Seeded Regions (2), Extract Specified Regions (3), Extract Largest Region (4), Extract All Regions (5), Extract Closes Point Region (6)
|-
 
| '''Tolerance'''<br>''(Tolerance)''
 
|
|
This property specifies a tolerance to control discarding of
| '''Input'''<br>''(Input)'
closely spaced points. This tolerance is specified as a fraction
 
of the diagonal length of the bounding box of the points.
This property specifies the input to the Connectivity filter


| 0.001
|
|
The value must be greater than or equal to 0 and less than or equal to 1.


The selected object must be the result of the following: sources (includes readers), filters
|}




==Descriptive Statistics==
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet




Compute a statistical model of a dataset and/or assess the dataset with a statistical model.
|


This filter either computes a statistical model of a dataset or takes such a model as its second input.  Then, the model (however it is obtained) may optionally be used to assess the input dataset.
<br>
This filter computes the min, max, mean, raw moments M2 through M4, standard deviation, skewness, and kurtosis for each array you select.


<br>
==Contingency Statistics=
The model is simply a univariate Gaussian distribution with the mean and standard deviation provided. Data is assessed using this model by detrending the data (i.e., subtracting the mean) and then dividing by the standard deviation. Thus the assessment is an array whose entries are the number of standard deviations from the mean that each input point lies.<br>




{| class="PropertiesTable" border="1" cellpadding="5"
Compute a statistical model of a dataset and/or assess the dataset with a statistical model
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Attribute Mode'''<br>''(AttributeMode)''
|
Specify which type of field data the arrays will be drawn from.


| 0
This filter either computes a statistical model of a dataset or takes such a model as its second input.  Then, the model (however it is obtained) may optionally be used to assess the input dataset.<br
|
This filter computes contingency tables between pairs of attributes.  This result is a tabular bivariate probability distribution which serves as a Bayesian-style prior model.  Data is assessed by computing <br
Valud array names will be chosen from point and cell data.
*  the probability of observing both variables simultaneously;<br
*  the probability of each variable conditioned on the other (the two values need not be identical); and<br
*  the pointwise mutual information (PMI)
<br
Finally, the summary statistics include the information entropy of the observations.<br


{| class="PropertiesTable" border="1" cellpadding="5
|-
| '''Input'''<br>''(Input)''
|
|
The input to the filter.  Arrays from this dataset will be used for computing statistics and/or assessed by a statistical model.
| '''Property''
 
| '''Description''
|
| '''Default Value(s)''
| '''Restrictions''
|
|
The selected object must be the result of the following: sources (includes readers), filters.
| '''Attribute Mode'''<br>''(AttributeMode)'


Specify which type of field data the arrays will be drawn from


The dataset must contain a point or cell array.
|


Valud array names will be chosen from point and cell data


The selected dataset must be one of the following types (or a subclass of one of them): vtkImageData, vtkStructuredGrid, vtkPolyData, vtkUnstructuredGrid, vtkTable, vtkGraph.


|-
| '''Model Input'''<br>''(ModelInput)''
|
|
A previously-calculated model with which to assess a separate datasetThis input is optional.
| '''Input'''<br>''(Input)'
 
The input to the filterArrays from this dataset will be used for computing statistics and/or assessed by a statistical model


| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.


The selected object must be the result of the following: sources (includes readers), filters


The selected dataset must be one of the following types (or a subclass of one of them): vtkTable, vtkMultiBlockDataSet.


The dataset must contain a point or cell array
|-
| '''Variables of Interest'''<br>''(SelectArrays)''
|
Choose arrays whose entries will be used to form observations for statistical analysis.


| �
|
An array of scalars is required.


The selected dataset must be one of the following types (or a subclass of one of them): vtkImageData, vtkStructuredGrid, vtkPolyData, vtkUnstructuredGrid, vtkTable, vtkGraph
|-
| '''Deviations should be'''<br>''(SignedDeviations)''
|
Should the assessed values be signed deviations or unsigned?


| 0
|
The value must be one of the following: Unsigned (0), Signed (1).


|-
| '''Task'''<br>''(Task)''
|
|
Specify the task to be performed: modeling and/or assessment.
| '''Model Input'''<br>''(ModelInput)'
#  "Statistics of all the data," creates an output table (or tables) summarizing the '''entire''' input dataset;
#  "Model a subset of the data," creates an output table (or tables) summarizing a '''randomly-chosen subset''' of the input dataset;
#  "Assess the data with a model," adds attributes to the first input dataset using a model provided on the second input port; and
#  "Model and assess the same data," is really just operations 2 and 3 above applied to the same input dataset.  The model is first trained using a fraction of the input data and then the entire dataset is assessed using that model.


When the task includes creating a model (i.e., tasks 2, and 4), you may adjust the fraction of the input dataset used for training. You should avoid using a large fraction of the input data for training as you will then not be able to detect overfitting.  The ''Training fraction'' setting will be ignored for tasks 1 and 3.
A previously-calculated model with which to assess a separate dataset. This input is optional


| 3
|
|
The value must be one of the following: Statistics of all the data (0), Model a subset of the data (1), Assess the data with a model (2), Model and assess the same data (3).


The selected object must be the result of the following: sources (includes readers), filters
|-
 
| '''Training Fraction'''<br>''(TrainingFraction)''
|
Specify the fraction of values from the input dataset to be used for model fitting. The exact set of values is chosen at random from the dataset.


| 0.1
The selected dataset must be one of the following types (or a subclass of one of them): vtkTable, vtkMultiBlockDataSet
|
The value must be greater than or equal to 0 and less than or equal to 1.


|}


|
| '''Variables of Interest'''<br>''(SelectArrays)'


==Elevation==
Choose arrays whose entries will be used to form observations for statistical analysis


|


Create point attribute array by projecting points onto an elevation vector.
An array of scalars is required


The Elevation filter generates point scalar values for an input dataset along a specified direction vector.<br><br><br>
The Input menu allows the user to select the data set to which this filter will be applied. Use the Scalar range entry boxes to specify the minimum and maximum scalar value to be generated. The Low Point and High Point define a line onto which each point of the data set is projected. The minimum scalar value is associated with the Low Point, and the maximum scalar value is associated with the High Point. The scalar value for each point in the data set is determined by the location along the line to which that point projects.<br>


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''High Point'''<br>''(HighPoint)''
|
|
This property defines the other end of the direction vector (large scalar values).
| '''Task'''<br>''(Task)'


| 0 0 1
Specify the task to be performed: modeling and/or assessment
|
#  "Statistics of all the data," creates an output table (or tables) summarizing the '''entire''' input dataset
The coordinate must lie within the bounding box of the dataset. It will default to the maximum in each dimension.
#  "Model a subset of the data," creates an output table (or tables) summarizing a '''randomly-chosen subset''' of the input dataset
#  "Assess the data with a model," adds attributes to the first input dataset using a model provided on the second input port; an
#  "Model and assess the same data," is really just operations 2 and 3 above applied to the same input dataset. The model is first trained using a fraction of the input data and then the entire dataset is assessed using that model


When the task includes creating a model (i.e., tasks 2, and 4), you may adjust the fraction of the input dataset used for training.  You should avoid using a large fraction of the input data for training as you will then not be able to detect overfitting. The ''Training fraction'' setting will be ignored for tasks 1 and 3
|-
| '''Input'''<br>''(Input)''
|
This property specifies the input dataset to the Elevation filter.


| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.


The value must be one of the following: Statistics of all the data (0), Model a subset of the data (1), Assess the data with a model (2), Model and assess the same data (3)


The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet.


|-
| '''Low Point'''<br>''(LowPoint)''
|
|
This property defines one end of the direction vector (small scalar values).
| '''Training Fraction'''<br>''(TrainingFraction)'
 
Specify the fraction of values from the input dataset to be used for model fitting. The exact set of values is chosen at random from the dataset
 
| 0.
 
The value must be greater than or equal to 0 and less than or equal to 1


| 0 0 0
|
The coordinate must lie within the bounding box of the dataset. It will default to the minimum in each dimension.


|-
| '''Scalar Range'''<br>''(ScalarRange)''
|
|
This property determines the range into which scalars will be mapped.


| 0 1
| �
|}


==Contour=


==Extract AMR Blocks==


Generate isolines or isosurfaces using point scalars


This filter extracts a list of datasets from hierarchical datasets.
The Contour filter computes isolines or isosurfaces using a selected point-centered scalar array. The Contour filter operates on any type of data set, but the input is required to have at least one point-centered scalar (single-component) array. The output of this filter is polygonal.<br


This filter extracts a list of datasets from hierarchical datasets.<br>
{| class="PropertiesTable" border="1" cellpadding="5
|
| '''Property''
| '''Description''
| '''Default Value(s)''
| '''Restrictions''
|
| '''Compute Gradients'''<br>''(ComputeGradients)'


{| class="PropertiesTable" border="1" cellpadding="5"
If this property is set to 1, a scalar array containing a gradient value at each point in the isosurface or isoline will be created by this filter; otherwise an array of gradients will not be computed. This operation is fairly expensive both in terms of computation time and memory required, so if the output dataset produced by the contour filter will be processed by filters that modify the dataset's topology or geometry, it may be wise to set the value of this property to 0. Not that if ComputeNormals is set to 1, then gradients will have to be calculated, but they will only be stored in the output dataset if ComputeGradients is also set to 1
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Input'''<br>''(Input)''
|
This property specifies the input to the Extract Datasets filter.


| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.


Only the values 0 and 1 are accepted


The selected dataset must be one of the following types (or a subclass of one of them): vtkHierarchicalBoxDataSet.


|-
| '''Selected Data Sets'''<br>''(SelectedDataSets)''
|
|
This property provides a list of datasets to extract.
| '''Compute Normals'''<br>''(ComputeNormals)'


| �
If this property is set to 1, a scalar array containing a normal value at each point in the isosurface or isoline will be created by the contour filter; otherwise an array of normals will not be computed. This operation is fairly expensive both in terms of computation time and memory required, so if the output dataset produced by the contour filter will be processed by filters that modify the dataset's topology or geometry, it may be wise to set the value of this property to 0
| �
Select whether to compute normals
|}


|


==Extract Block==
Only the values 0 and 1 are accepted




This filter extracts a range of blocks from a multiblock dataset.
|
| '''Compute Scalars'''<br>''(ComputeScalars)'


This filter extracts a range of groups from a multiblock dataset<br>
If this property is set to 1, an array of scalars (containing the contour value) will be added to the output dataset. If set to 0, the output will not contain this array


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Block Indices'''<br>''(BlockIndices)''
|
|
This property lists the ids of the blocks to extract
from the input multiblock dataset.


| �
Only the values 0 and 1 are accepted
| �
 
|-
 
| '''Input'''<br>''(Input)''
|
|
This property specifies the input to the Extract Group filter.
| '''Isosurfaces'''<br>''(ContourValues)'
 
This property specifies the values at which to compute isosurfaces/isolines and also the number of such values


| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.


The value must lie within the range of the selected data array


The selected dataset must be one of the following types (or a subclass of one of them): vtkMultiBlockDataSet.


|-
| '''Maintain Structure'''<br>''(MaintainStructure)''
|
|
This is used only when PruneOutput is ON. By default, when pruning the
| '''Input'''<br>''(Input)'
output i.e. remove empty blocks, if node has only 1 non-null child
block, then that node is removed. To preserve these parent nodes, set
this flag to true.


| 0
This property specifies the input dataset to be used by the contour filter
|
Only the values 0 and 1 are accepted.
 
|-
| '''Prune Output'''<br>''(PruneOutput)''
|
When set, the output mutliblock dataset will be pruned to remove empty
nodes. On by default.


| 1
|
|
Only the values 0 and 1 are accepted.


The selected object must be the result of the following: sources (includes readers), filters
|}




==Extract CTH Parts==
The dataset must contain a point or cell array with 1 components




Create a surface from a CTH volume fraction.
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet


Extract CTH Parts is a specialized filter for visualizing the data from a CTH simulation. It first converts the selected cell-centered arrays to point-centered ones. It then contours each array at a value of 0.5. The user has the option of clipping the resulting surface(s) with a plane. This filter only operates on unstructured data. It produces polygonal output.<br>


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Double Volume Arrays'''<br>''(AddDoubleVolumeArrayName)''
|
|
This property specifies the name(s) of the volume fraction array(s) for generating parts.
| '''Point Merge Method'''<br>''(Locator)'


| �
This property specifies an incremental point locator for merging duplicate / coincident points
|
An array of scalars is required.


|-
| '''Float Volume Arrays'''<br>''(AddFloatVolumeArrayName)''
|
|
This property specifies the name(s) of the volume fraction array(s) for generating parts.


| �
The selected object must be the result of the following: incremental_point_locators
|
An array of scalars is required.


|-
| '''Unsigned Character Volume Arrays'''<br>''(AddUnsignedCharVolumeArrayName)''
|
This property specifies the name(s) of the volume fraction array(s) for generating parts.


| �
The value must be set to one of the following: MergePoints, IncrementalOctreeMergePoints, NonMergingPointLocator
|
An array of scalars is required.


|-
| '''Clip Type'''<br>''(ClipPlane)''
|
This property specifies whether to clip the dataset, and if so, it also specifies the parameters of the plane with which to clip.


| �
|
|
The value must be set to one of the following: None, Plane, Box, Sphere.
| '''Contour By'''<br>''(SelectInputScalars)'


This property specifies the name of the scalar array from which the contour filter will compute isolines and/or isosurfaces
|-
| '''Input'''<br>''(Input)''
|
This property specifies the input to the Extract CTH Parts filter.


| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.


An array of scalars is required


The dataset must contain a cell array with 1 components.


Valud array names will be chosen from point and cell data


The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet.


|-
| '''Volume Fraction Value'''<br>''(VolumeFractionSurfaceValue)''
|
|
The value of this property is the volume fraction value for the surface.


| 0.1
|
The value must be greater than or equal to 0 and less than or equal to 1.


==Cosmology FOF Halo Finder=
|}




==Extract Cells By Region==
Sorry, no help is currently available




This filter extracts cells that are inside/outside a region or at a region boundary.


This filter extracts from its input dataset all cells that are either completely inside or outside of a specified region (implicit function). On output, the filter generates an unstructured grid.<br>
To use this filter you must specify a region  (implicit function). You must also specify whethter to extract cells lying inside or outside of the region. An option exists to extract cells that are neither inside or outside (i.e., boundary).<br>


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Extract intersected'''<br>''(Extract intersected)''
|
|
This parameter controls whether to extract cells that are on the boundary of the region.
| '''Property''
 
| '''Description''
| 0
| '''Default Value(s)''
| '''Restrictions''
|
|
Only the values 0 and 1 are accepted.
| '''bb (linking length/distance)'''<br>''(BB)'


Linking length measured in units of interparticle spacing and is dimensionless.  Used to link particles into halos for the friend-of-a-friend algorithm
|-
| '''Extract only intersected'''<br>''(Extract only intersected)''
|
This parameter controls whether to extract only cells that are on the boundary of the region. If this parameter is set, the Extraction Side parameter is ignored. If Extract Intersected is off, this parameter has no effect.


| 0
| 0.
|
Only the values 0 and 1 are accepted.


The value must be greater than or equal to 0
|-
| '''Extraction Side'''<br>''(ExtractInside)''
|
This parameter controls whether to extract cells that are inside or outside the region.


| 1
|
The value must be one of the following: outside (0), inside (1).


|-
| '''Intersect With'''<br>''(ImplicitFunction)''
|
|
This property sets the region used to extract cells.
| '''Compute the most bound particle for halos'''<br>''(ComputeMostBoundParticle)'


| �
If checked, the most bound particle will be calculated. This can be very slow
|
The value must be set to one of the following: Plane, Box, Sphere.


|-
| '''Input'''<br>''(Input)''
|
|
This property specifies the input to the Slice filter.


| �
Only the values 0 and 1 are accepted
|
The selected object must be the result of the following: sources (includes readers), filters.




The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet.
|
| '''Compute the most connected particle for halos'''<br>''(ComputeMostConnectedParticle)'


If checked, the most connected particle will be calculated.  This can be very slow
|}


|


==Extract Edges==
Only the values 0 and 1 are accepted




Extract edges of 2D and 3D cells as lines.
|
| '''Copy halo catalog information to original particles'''<br>''(CopyHaloDataToParticles)'


The Extract Edges filter produces a wireframe version of the input dataset by extracting all the edges of the dataset's cells as lines. This filter operates on any type of data set and produces polygonal output.<br>
If checked, the halo catalog information will be copied to the original particles as well


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Input'''<br>''(Input)''
|
|
This property specifies the input to the Extract Edges filter.


| �
Only the values 0 and 1 are accepted
|
The selected object must be the result of the following: sources (includes readers), filters.




The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet.
|
| '''Halo position for 3D visualization'''<br>''(HaloPositionType)'


This sets the position for the halo catalog particles (second output) in 3D space for visualization.  Input particle positions (first output) will be unaltered by this.  MBP and MCP for particle positions can potentially take a very long time to calculate
|}


|


==Extract Level==
The value must be one of the following: Average (0), Center of Mass (1), Most Bound Particle (2), Most Connected Particle (3)




This filter extracts a range of groups from a hierarchical dataset.
|
| '''Input'''<br>''(Input)'
|
|
 
The selected object must be the result of the following: sources (includes readers), filters
 


This filter extracts a range of levels from a hierarchical dataset<br>
The selected dataset must be one of the following types (or a subclass of one of them): vtkUnstructuredGrid


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Input'''<br>''(Input)''
|
This property specifies the input to the Extract Group filter.


| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.
| '''np (number of seeded particles in one dimension, i.e., total particles = np^3)'''<br>''(NP)'


Number of seeded particles in one dimension.  Therefore, total simulation particles is np^3 (cubed)


The selected dataset must be one of the following types (or a subclass of one of them): vtkHierarchicalBoxDataSet.
| 25


The value must be greater than or equal to 0
|-
| '''Levels'''<br>''(Levels)''
|
This property lists the levels to extract
from the input hierarchical dataset.


| �
| �
|}


|
| '''overlap (shared point/ghost cell gap distance)'''<br>''(Overlap)'


==Extract Selection==
The space in rL units to extend processor particle ownership for ghost particles/cells.  Needed for correct halo calculation when halos cross processor boundaries in parallel computation


|


Extract different type of selections.
The value must be greater than or equal to 0


This filter extracts a set of cells/points given a selection.<br>
The selection can be obtained from a rubber-band selection<br>
(either cell, visible or in a frustum) or threshold selection<br>
and passed to the filter or specified by providing an ID list.<br>


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Input'''<br>''(Input)''
|
|
This property specifies the input from which the selection is extracted.
| '''pmin (minimum particle threshold for a halo)'''<br>''(PMin)'


| �
Minimum number of particles (threshold) needed before a group is called a halo
|
The selected object must be the result of the following: sources (includes readers), filters.


| 1


The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet, vtkTable.
The value must be greater than or equal to 1


|-
| '''Preserve Topology'''<br>''(PreserveTopology)''
|
If this property is set to 1 the output preserves the topology of its
input and adds an insidedness array to mark which cells are inside or
out. If 0 then the output is an unstructured grid which contains only
the subset of cells that are inside.


| 0
|
|
Only the values 0 and 1 are accepted.
| '''rL (physical box side length)'''<br>''(RL)'


The box side length used to wrap particles around if they exceed rL (or less than 0) in any dimension (only positive positions are allowed in the input, or the are wrapped around)
|-
| '''Selection'''<br>''(Selection)''
|
The input that provides the selection object.


|
| 90.140
|
The selected object must be the result of the following: sources (includes readers), filters.


The value must be greater than or equal to 0


The selected dataset must be one of the following types (or a subclass of one of them): vtkSelection.


|-
| '''Show Bounds'''<br>''(ShowBounds)''
|
|
For frustum selection, if this property is set to 1 the output is the
outline of the frustum instead of the contents of the input that lie
within the frustum.


| 0
|
Only the values 0 and 1 are accepted.


==Curvature=
|}




==Extract Subset==
This filter will compute the Gaussian or mean curvature of the mesh at each point


The Curvature filter computes the curvature at each point in a polygonal data set. This filter supports both Gaussian and mean curvatures.<br><br><br
; the type can be selected from the Curvature type menu button.<br


Extract a subgrid from a structured grid with the option of setting subsample strides.
{| class="PropertiesTable" border="1" cellpadding="5
|
| '''Property''
| '''Description''
| '''Default Value(s)''
| '''Restrictions''
|
| '''Curvature Type'''<br>''(CurvatureType)'


The Extract Grid filter returns a subgrid of a structured input data set (uniform rectilinear, curvilinear, or nonuniform rectilinear). The output data set type of this filter is the same as the input type.<br>
This propery specifies which type of curvature to compute


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Include Boundary'''<br>''(IncludeBoundary)''
|
|
If the value of this property is 1, then if the sample rate in any dimension is greater than 1, the boundary indices of the input dataset will be passed to the output even if the boundary extent is not an even multiple of the sample rate in a given dimension.


| 0
The value must be one of the following: Gaussian (0), Mean (1)
 
 
|
|
Only the values 0 and 1 are accepted.
| '''Input'''<br>''(Input)'


This property specifies the input to the Curvature filter
|-
| '''Input'''<br>''(Input)''
|
This property specifies the input to the Extract Grid filter.


| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.


The selected object must be the result of the following: sources (includes readers), filters


The selected dataset must be one of the following types (or a subclass of one of them): vtkImageData, vtkRectilinearGrid, vtkStructuredPoints, vtkStructuredGrid.


The selected dataset must be one of the following types (or a subclass of one of them): vtkPolyData
|-
| '''Sample Rate I'''<br>''(SampleRateI)''
|
This property indicates the sampling rate in the I dimension. A value grater than 1 results in subsampling; every nth index will be included in the output.


| 1
|
The value must be greater than or equal to 1.


|-
| '''Sample Rate J'''<br>''(SampleRateJ)''
|
|
This property indicates the sampling rate in the J dimension. A value grater than 1 results in subsampling; every nth index will be included in the output.
| '''Invert Mean Curvature'''<br>''(InvertMeanCurvature)'


| 1
If this property is set to 1, the mean curvature calculation will be inverted. This is useful for meshes with inward-pointing normals
|
The value must be greater than or equal to 1.


|-
| '''Sample Rate K'''<br>''(SampleRateK)''
|
|
This property indicates the sampling rate in the K dimension. A value grater than 1 results in subsampling; every nth index will be included in the output.


| 1
Only the values 0 and 1 are accepted
|
The value must be greater than or equal to 1.


|-
| '''V OI'''<br>''(VOI)''
|
This property specifies the minimum and maximum point indices along each of the I, J, and K axes; these values indicate the volume of interest (VOI). The output will have the (I,J,K) extent specified here.


| 0 0 0 0 0 0
|
|
The values must lie within the extent of the input dataset.
|}




==Extract Surface==
==D3=




Extract a 2D boundary surface using neighbor relations to eliminate internal faces.
Repartition a data set into load-balanced spatially convex regions. Create ghost cells if requested


The Extract Surface filter extracts the polygons forming the outer surface of the input dataset. This filter operates on any type of data and produces polygonal data as output.<br>
The D3 filter is available when ParaView is run in parallel. It operates on any type of data set to evenly divide it across the processors into spatially contiguous regions. The output of this filter is of type unstructured grid.<br


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Input'''<br>''(Input)''
|
|
This property specifies the input to the Extract Surface filter.
| '''Property''
 
| '''Description''
|
| '''Default Value(s)''
| '''Restrictions''
|
|
The selected object must be the result of the following: sources (includes readers), filters.
| '''Boundary Mode'''<br>''(BoundaryMode)'


This property determines how cells that lie on processor boundaries are handled. The "Assign cells uniquely" option assigns each boundary cell to exactly one process, which is useful for isosurfacing. Selecting "Duplicate cells" causes the cells on the boundaries to be copied to each process that shares that boundary. The "Divide cells" option breaks cells across process boundary lines so that pieces of the cell lie in different processes. This option is useful for volume rendering


The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet.
|-
| '''Nonlinear Subdivision Level'''<br>''(NonlinearSubdivisionLevel)''
|
|
If the input is an unstructured grid with nonlinear faces, this
parameter determines how many times the face is subdivided into
linear faces.  If 0, the output is the equivalent of its linear
couterpart (and the midpoints determining the nonlinear
interpolation are discarded).  If 1, the nonlinear face is
triangulated based on the midpoints.  If greater than 1, the
triangulated pieces are recursively subdivided to reach the
desired subdivision.  Setting the value to greater than 1 may
cause some point data to not be passed even if no quadratic faces
exist.  This option has no effect if the input is not an
unstructured grid.


| 1
The value must be one of the following: Assign cells uniquely (0), Duplicate cells (1), Divide cells (2)
|
The value must be greater than or equal to 0 and less than or equal to 4.


|-
| '''Piece Invariant'''<br>''(PieceInvariant)''
|
If the value of this property is set to 1, internal surfaces along process boundaries will be removed. NOTE: Enabling this option might cause multiple executions of the data source because more information is needed to remove internal surfaces.


| 1
|
|
Only the values 0 and 1 are accepted.
| '''Input'''<br>''(Input)'


This property specifies the input to the D3 filter
|}


|


==FFT Of Selection Over Time==
The selected object must be the result of the following: sources (includes readers), filters




Extracts selection over time and plots the FFT
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet


Extracts the data of a selection (e.g. points or cells) over time,<br>
takes the FFT of them, and plots them.<br>


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Input'''<br>''(Input)''
|
|
The input from which the selection is extracted.
| '''Minimal Memory'''<br>''(UseMinimalMemory)'
 
If this property is set to 1, the D3 filter requires communication routines to use minimal memory than without this restriction


| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.


Only the values 0 and 1 are accepted


The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet, vtkTable, vtkCompositeDataSet.


|-
| '''Selection'''<br>''(Selection)''
|
|
The input that provides the selection object.


| �
|
The selected object must be the result of the following: sources (includes readers), filters.


==Decimate=


The selected dataset must be one of the following types (or a subclass of one of them): vtkSelection.


Simplify a polygonal model using an adaptive edge collapse algorithm.  This filter works with triangles only
|}


The Decimate filter reduces the number of triangles in a polygonal data set. Because this filter only operates on triangles, first run the Triangulate filter on a dataset that contains polygons other than triangles.<br


==Feature Edges==
{| class="PropertiesTable" border="1" cellpadding="5
|
| '''Property''
| '''Description''
| '''Default Value(s)''
| '''Restrictions''
|
| '''Boundary Vertex Deletion'''<br>''(BoundaryVertexDeletion)'
 
If this property is set to 1, then vertices on the boundary of the dataset can be removed. Setting the value of this property to 0 preserves the boundary of the dataset, but it may cause the filter not to reach its reduction target


|


This filter will extract edges along sharp edges of surfaces or boundaries of surfaces.
Only the values 0 and 1 are accepted


The Feature Edges filter extracts various subsets of edges from the input data set. This filter operates on polygonal data and produces polygonal output.<br>


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Boundary Edges'''<br>''(BoundaryEdges)''
|
|
If the value of this property is set to 1, boundary edges will be extracted. Boundary edges are defined as lines cells or edges that are used by only one polygon.
| '''Feature Angle'''<br>''(FeatureAngle)'
 
The value of thie property is used in determining where the data set may be split. If the angle between two adjacent triangles is greater than or equal to the FeatureAngle value, then their boundary is considered a feature edge where the dataset can be split


| 1
| 1
The value must be greater than or equal to 0 and less than or equal to 180
|
|
Only the values 0 and 1 are accepted.
| '''Input'''<br>''(Input)'
 
This property specifies the input to the Decimate filter


|-
| '''Coloring'''<br>''(Coloring)''
|
|
If the value of this property is set to 1, then the extracted edges are assigned a scalar value based on the type of the edge.


| 0
The selected object must be the result of the following: sources (includes readers), filters
|
Only the values 0 and 1 are accepted.


|-
| '''Feature Angle'''<br>''(FeatureAngle)''
|
Ths value of this property is used to define a feature edge. If the surface normal between two adjacent triangles is at least as large as this Feature Angle, a feature edge exists. (See the FeatureEdges property.)


| 30
The selected dataset must be one of the following types (or a subclass of one of them): vtkPolyData
|
The value must be greater than or equal to 0 and less than or equal to 180.


|-
| '''Feature Edges'''<br>''(FeatureEdges)''
|
If the value of this property is set to 1, feature edges will be extracted. Feature edges are defined as edges that are used by two polygons whose dihedral angle is greater than the feature angle. (See the FeatureAngle property.)
Toggle whether to extract feature edges.


| 1
|
|
Only the values 0 and 1 are accepted.
| '''Preserve Topology'''<br>''(PreserveTopology)'


If this property is set to 1, decimation will not split the dataset or produce holes, but it may keep the filter from reaching the reduction target. If it is set to 0, better reduction can occur (reaching the reduction target), but holes in the model may be produced
|-
| '''Input'''<br>''(Input)''
|
This property specifies the input to the Feature Edges filter.


| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.


Only the values 0 and 1 are accepted


The selected dataset must be one of the following types (or a subclass of one of them): vtkPolyData.


|-
| '''Manifold Edges'''<br>''(ManifoldEdges)''
|
|
If the value of this property is set to 1, manifold edges will be extracted. Manifold edges are defined as edges that are used by exactly two polygons.
| '''Target Reduction'''<br>''(TargetReduction)'
 
This property specifies the desired reduction in the total number of polygons in the output dataset. For example, if the TargetReduction value is 0.9, the Decimate filter will attempt to produce an output dataset that is 10% the size of the input.


| 0
| 0.
|
 
Only the values 0 and 1 are accepted.
The value must be greater than or equal to 0 and less than or equal to 1


|-
| '''Non-Manifold Edges'''<br>''(NonManifoldEdges)''
|
If the value of this property is set to 1, non-manifold ediges will be extracted. Non-manifold edges are defined as edges that are use by three or more polygons.


| 1
|
|
Only the values 0 and 1 are accepted.


|}


==Delaunay 2D=


==Generate Ids==


Create 2D Delaunay triangulation of input points. It expects a vtkPointSet as input and produces vtkPolyData as output. The points are expected to be in a mostly planar distribution


Generate scalars from point and cell ids.
Delaunay2D is a filter that constructs a 2D Delaunay triangulation from a list of input points. These points may be represented by any dataset of type vtkPointSet and subclasses. The output of the filter is a polygonal dataset containing a triangle mesh.<br><br><br
The 2D Delaunay triangulation is defined as the triangulation that satisfies the Delaunay criterion for n-dimensional simplexes (in this case n=2 and the simplexes are triangles). This criterion states that a circumsphere of each simplex in a triangulation contains only the n+1 defining points of the simplex. In two dimensions, this translates into an optimal triangulation. That is, the maximum interior angle of any triangle is less than or equal to that of any possible triangulation.<br><br><br
Delaunay triangulations are used to build topological structures from unorganized (or unstructured) points. The input to this filter is a list of points specified in 3D, even though the triangulation is 2D. Thus the triangulation is constructed in the x-y plane, and the z coordinate is ignored (although carried through to the output). You can use the option ProjectionPlaneMode in order to compute the best-fitting plane to the set of points, project the points and that plane and then perform the triangulation using their projected positions and then use it as the plane in which the triangulation is performed.<br><br><br
The Delaunay triangulation can be numerically sensitive in some cases. To prevent problems, try to avoid injecting points that will result in triangles with bad aspect ratios (1000:1 or greater). In practice this means inserting points that are "widely dispersed", and enables smooth transition of triangle sizes throughout the mesh. (You may even want to add extra points to create a better point distribution.) If numerical problems are present, you will see a warning message to this effect at the end of the triangulation process.<br><br><br
Warning:<br
Points arranged on a regular lattice (termed degenerate cases) can be triangulated in more than one way (at least according to the Delaunay criterion). The choice of triangulation (as implemented by this algorithm) depends on the order of the input points. The first three points will form a triangle; other degenerate points will not break this triangle.<br><br><br
Points that are coincident (or nearly so) may be discarded by the algorithm. This is because the Delaunay triangulation requires unique input points. The output of the Delaunay triangulation is supposedly a convex hull. In certain cases this implementation may not generate the convex hull.<br


This filter generates scalars  using cell and point ids. That is, the point attribute data scalars are generated from the point ids, and the cell attribute data scalars or field data are generated from the the cell ids.<br>
{| class="PropertiesTable" border="1" cellpadding="5
|
| '''Property''
| '''Description''
| '''Default Value(s)''
| '''Restrictions''
|
| '''Alpha'''<br>''(Alpha)'


{| class="PropertiesTable" border="1" cellpadding="5"
The value of this property controls the output of this filter. For a non-zero alpha value, only edges or triangles contained within a sphere centered at mesh vertices will be output. Otherwise, only triangles will be output
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Array Name'''<br>''(ArrayName)''
|
The name of the array that will contain ids.


| Ids
| �
|-
| '''Input'''<br>''(Input)''
|
|
This property specifies the input to the Cell Data to Point Data filter.


| �
The value must be greater than or equal to 0
|
The selected object must be the result of the following: sources (includes readers), filters.




The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet.
|
| '''Bounding Triangulation'''<br>''(BoundingTriangulation)'


If this property is set to 1, bounding triangulation points (and associated triangles) are included in the output. These are introduced as an initial triangulation to begin the triangulation process. This feature is nice for debugging output
|}


|


==Generate Quadrature Points==
Only the values 0 and 1 are accepted




Create a point set with data at quadrature points.
|
| '''Input'''<br>''(Input)'


"Create a point set with data at quadrature points."<br>
This property specifies the input dataset to the Delaunay 2D filter


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Input'''<br>''(Input)''
| �
| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.


The selected object must be the result of the following: sources (includes readers), filters


The dataset must contain a cell array.


The selected dataset must be one of the following types (or a subclass of one of them): vtkPointSet


The selected dataset must be one of the following types (or a subclass of one of them): vtkUnstructuredGrid.


|-
| '''Select Source Array'''<br>''(SelectSourceArray)''
|
|
Specifies the offset array from which we generate quadrature points.
| '''Offset'''<br>''(Offset)'
 
This property is a multiplier to control the size of the initial, bounding Delaunay triangulation


| �
|
|
An array of scalars is required.


The value must be greater than or equal to 0.75
|}
 


|
| '''Projection Plane Mode'''<br>''(ProjectionPlaneMode)'


==Generate Quadrature Scheme Dictionary==
This property determines type of projection plane to use in performing the triangulation


|


Generate quadrature scheme dictionaries in data sets that do not have them.
The value must be one of the following: XY Plane (0), Best-Fitting Plane (2)


Generate quadrature scheme dictionaries in data sets that do not have them.<br>


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Input'''<br>''(Input)''
| �
| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.
| '''Tolerance'''<br>''(Tolerance)'


This property specifies a tolerance to control discarding of closely spaced points. This tolerance is specified as a fraction of the diagonal length of the bounding box of the points


The selected dataset must be one of the following types (or a subclass of one of them): vtkUnstructuredGrid.
| 1e-0


The value must be greater than or equal to 0 and less than or equal to 1
|}




==Generate Surface Normals==
|




This filter will produce surface normals used for smooth shading. Splitting is used to avoid smoothing across feature edges.
==Delaunay 3D=


This filter generates surface normals at the points of the input polygonal dataset to provide smooth shading of the dataset. The resulting dataset is also polygonal. The filter works by calculating a normal vector for each polygon in the dataset and then averaging the normals at the shared points.<br>


{| class="PropertiesTable" border="1" cellpadding="5"
Create a 3D Delaunay triangulation of input                                points. It expects a vtkPointSet as input and                                produces vtkUnstructuredGrid as output
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Compute Cell Normals'''<br>''(ComputeCellNormals)''
|
This filter computes the normals at the points in the data set. In the process of doing this it computes polygon normals too. If you want these normals to be passed to the output of this filter, set the value of this property to 1.


| 0
Delaunay3D is a filter that constructs a 3D Delaunay triangulation<br
|
from a list of input points. These points may be represented by any<br
Only the values 0 and 1 are accepted.
dataset of type vtkPointSet and subclasses. The output of the filter<br
is an unstructured grid dataset. Usually the output is a tetrahedral<br
mesh, but if a non-zero alpha distance value is specified (called<br
the "alpha" value), then only tetrahedra, triangles, edges, and<br
vertices lying within the alpha radius are output. In other words,<br
non-zero alpha values may result in arbitrary combinations of<br
tetrahedra, triangles, lines, and vertices. (The notion of alpha<br
value is derived from Edelsbrunner's work on "alpha shapes".)<br><br><br
The 3D Delaunay triangulation is defined as the triangulation that<br
satisfies the Delaunay criterion for n-dimensional simplexes (in<br
this case n=3 and the simplexes are tetrahedra). This criterion<br
states that a circumsphere of each simplex in a triangulation<br
contains only the n+1 defining points of the simplex. (See text for<br
more information.) While in two dimensions this translates into an<br
"optimal" triangulation, this is not true in 3D, since a measurement<br
for optimality in 3D is not agreed on.<br><br><br
Delaunay triangulations are used to build topological structures<br
from unorganized (or unstructured) points. The input to this filter<br
is a list of points specified in 3D. (If you wish to create 2D<br
triangulations see Delaunay2D.) The output is an unstructured<br
grid.<br><br><br
The Delaunay triangulation can be numerically sensitive. To prevent<br
problems, try to avoid injecting points that will result in<br
triangles with bad aspect ratios (1000:1 or greater). In practice<br
this means inserting points that are "widely dispersed", and enables<br
smooth transition of triangle sizes throughout the mesh. (You may<br
even want to add extra points to create a better point<br
distribution.) If numerical problems are present, you will see a<br
warning message to this effect at the end of the triangulation<br
process.<br><br><br
Warning:<br
Points arranged on a regular lattice (termed degenerate cases) can<br
be triangulated in more than one way (at least according to the<br
Delaunay criterion). The choice of triangulation (as implemented by<br
this algorithm) depends on the order of the input points. The first<br
four points will form a tetrahedron; other degenerate points<br
(relative to this initial tetrahedron) will not break it.<br><br><br
Points that are coincident (or nearly so) may be discarded by the<br
algorithm. This is because the Delaunay triangulation requires<br
unique input points. You can control the definition of coincidence<br
with the "Tolerance" instance variable.<br><br><br
The output of the Delaunay triangulation is supposedly a convex<br
hull. In certain cases this implementation may not generate the<br
convex hull. This behavior can be controlled by the Offset instance<br
variable. Offset is a multiplier used to control the size of the<br
initial triangulation. The larger the offset value, the more likely<br
you will generate a convex hull; and the more likely you are to see<br
numerical problems.<br><br><br
The implementation of this algorithm varies from the 2D Delaunay<br
algorithm (i.e., Delaunay2D) in an important way. When points are<br
injected into the triangulation, the search for the enclosing<br
tetrahedron is quite different. In the 3D case, the closest<br
previously inserted point point is found, and then the connected<br
tetrahedra are searched to find the containing one. (In 2D, a "walk"<br
towards the enclosing triangle is performed.) If the triangulation<br
is Delaunay, then an enclosing tetrahedron will be found. However,<br
in degenerate cases an enclosing tetrahedron may not be found and<br
the point will be rejected.<br


{| class="PropertiesTable" border="1" cellpadding="5
|-
| '''Consistency'''<br>''(Consistency)''
|
|
The value of this property controls whether consistent polygon ordering is enforced. Generally the normals for a data set should either all point inward or all point outward. If the value of this property is 1, then this filter will reorder the points of cells that whose normal vectors are oriented the opposite direction from the rest of those in the data set.
| '''Property''
 
| '''Description''
| 1
| '''Default Value(s)''
| '''Restrictions''
|
|
Only the values 0 and 1 are accepted.
| '''Alpha'''<br>''(Alpha)'


This property specifies the alpha (or distance) value to contro
|-
the output of this filter. For a non-zero alpha value, onl
| '''Feature Angle'''<br>''(FeatureAngle)''
edges, faces, or tetra contained within the circumsphere (o
|
radius alpha) will be output. Otherwise, only tetrahedra will b
The value of this property defines a feature edge. If the surface normal between two adjacent triangles is at least as large as this Feature Angle, a feature edge exists. If Splitting is on, points are duplicated along these feature edges. (See the Splitting property.)
output


| 30
|
|
The value must be greater than or equal to 0 and less than or equal to 180.


The value must be greater than or equal to 0
|-
 
| '''Flip Normals'''<br>''(FlipNormals)''
|
If the value of this property is 1, this filter will reverse the normal direction (and reorder the points accordingly) for all polygons in the data set; this changes front-facing polygons to back-facing ones, and vice versa. You might want to do this if your viewing position will be inside the data set instead of outside of it.


| 0
|
|
Only the values 0 and 1 are accepted.
| '''Bounding Triangulation'''<br>''(BoundingTriangulation)'


This boolean controls whether bounding triangulation points (an
|-
associated triangles) are included in the output. (These ar
| '''Input'''<br>''(Input)''
introduced as an initial triangulation to begin the triangulatio
|
process. This feature is nice for debugging output.
This property specifies the input to the Normals Generation filter.


| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.


Only the values 0 and 1 are accepted


The selected dataset must be one of the following types (or a subclass of one of them): vtkPolyData.


|-
| '''Non-Manifold Traversal'''<br>''(NonManifoldTraversal)''
|
|
Turn on/off traversal across non-manifold edges. Not traversing non-manifold edges will prevent problems where the consistency of polygonal ordering is corrupted due to topological loops.
| '''Input'''<br>''(Input)'
 
This property specifies the input dataset to the Delaunay 3D filter


| 1
|
|
Only the values 0 and 1 are accepted.


The selected object must be the result of the following: sources (includes readers), filters
|-
 
| '''Piece Invariant'''<br>''(PieceInvariant)''
 
The selected dataset must be one of the following types (or a subclass of one of them): vtkPointSet
 
 
|
|
Turn this option to to produce the same results regardless of the number of processors used (i.e., avoid seams along processor boundaries). Turn this off if you do want to process ghost levels and do not mind seams.
| '''Offset'''<br>''(Offset)'


| 1
This property specifies a multiplier to control the size of th
|
initial, bounding Delaunay triangulation
Only the values 0 and 1 are accepted.


| 2.
|-
| '''Splitting'''<br>''(Splitting)''
|
This property controls the splitting of sharp edges. If sharp edges are split (property value = 1), then points are duplicated along these edges, and separate normals are computed for both sets of points to give crisp (rendered) surface definition.


| 1
The value must be greater than or equal to 2.5
|
Only the values 0 and 1 are accepted.


|}


|
| '''Tolerance'''<br>''(Tolerance)'


==Glyph==
This property specifies a tolerance to control discarding o
closely spaced points. This tolerance is specified as a fractio
of the diagonal length of the bounding box of the points


| 0.00


This filter generates an arrow, cone, cube, cylinder, line, sphere, or 2D glyph at each point of the input data set.  The glyphs can be oriented and scaled by point attributes of the input dataset.
The value must be greater than or equal to 0 and less than or equal to 1


The Glyph filter generates a glyph (i.e., an arrow, cone, cube, cylinder, line, sphere, or 2D glyph) at each point in the input dataset. The glyphs can be oriented and scaled by the input point-centered scalars and vectors. The Glyph filter operates on any type of data set. Its output is polygonal. This filter is available on the Toolbar.<br>


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Glyph Transform'''<br>''(GlyphTransform)''
|
|
The values in this property allow you to specify the transform
(translation, rotation, and scaling) to apply to the glyph source.


| �
|
The value must be set to one of the following: Transform2.


==Descriptive Statistics=
|-
| '''Input'''<br>''(Input)''
|
This property specifies the input to the Glyph filter. This is the dataset to which the glyphs will be applied.


| �
|
The selected object must be the result of the following: sources (includes readers), filters.


Compute a statistical model of a dataset and/or assess the dataset with a statistical model


The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet.
This filter either computes a statistical model of a dataset or takes such a model as its second input.  Then, the model (however it is obtained) may optionally be used to assess the input dataset
<br
This filter computes the min, max, mean, raw moments M2 through M4, standard deviation, skewness, and kurtosis for each array you select


<br
|-
The model is simply a univariate Gaussian distribution with the mean and standard deviation provided. Data is assessed using this model by detrending the data (i.e., subtracting the mean) and then dividing by the standard deviation. Thus the assessment is an array whose entries are the number of standard deviations from the mean that each input point lies.<br
| '''Maximum Number of Points'''<br>''(MaximumNumberOfPoints)''
|
The value of this property specifies the maximum number of glyphs that should appear in the output dataset if the value of the UseMaskPoints property is 1. (See the UseMaskPoints property.)


| 5000
|
The value must be greater than or equal to 0.


{| class="PropertiesTable" border="1" cellpadding="5
|-
| '''Random Mode'''<br>''(RandomMode)''
|
|
If the value of this property is 1, then the points to glyph are chosen randomly. Otherwise the point ids chosen are evenly spaced.
| '''Property''
 
| '''Description''
| 1
| '''Default Value(s)''
| '''Restrictions''
|
|
Only the values 0 and 1 are accepted.
| '''Attribute Mode'''<br>''(AttributeMode)'


Specify which type of field data the arrays will be drawn from
|-
| '''Scalars'''<br>''(SelectInputScalars)''
|
This property indicates the name of the scalar array on which to operate. The indicated array may be used for scaling the glyphs. (See the SetScaleMode property.)


| �
|
|
An array of scalars is required.


Valud array names will be chosen from point and cell data
|-
| '''Vectors'''<br>''(SelectInputVectors)''
|
This property indicates the name of the vector array on which to operate. The indicated array may be used for scaling and/or orienting the glyphs. (See the SetScaleMode and SetOrient properties.)


| 1
|
An array of vectors is required.


|-
| '''Orient'''<br>''(SetOrient)''
|
|
If this property is set to 1, the glyphs will be oriented based on the selected vector array.
| '''Input'''<br>''(Input)'


| 1
The input to the filter.  Arrays from this dataset will be used for computing statistics and/or assessed by a statistical model
|
Only the values 0 and 1 are accepted.


|-
| '''Set Scale Factor'''<br>''(SetScaleFactor)''
|
|
The value of this property will be used as a multiplier for scaling the glyphs before adding them to the output.


| 1
The selected object must be the result of the following: sources (includes readers), filters
|
The value must be less than the largest dimension of the dataset multiplied by a scale factor of 0.1.




The value must lie within the range of the selected data array.
The dataset must contain a point or cell array




The value must lie within the range of the selected data array.
The selected dataset must be one of the following types (or a subclass of one of them): vtkImageData, vtkStructuredGrid, vtkPolyData, vtkUnstructuredGrid, vtkTable, vtkGraph


|-
| '''Scale Mode'''<br>''(SetScaleMode)''
|
The value of this property specifies how/if the glyphs should be scaled based on the point-centered scalars/vectors in the input dataset.


| 1
|
|
The value must be one of the following: scalar (0), vector (1), vector_components (2), off (3).
| '''Model Input'''<br>''(ModelInput)'


A previously-calculated model with which to assess a separate dataset. This input is optional
|-
| '''Glyph Type'''<br>''(Source)''
|
This property determines which type of glyph will be placed at the points in the input dataset.


| �
|
|
The selected object must be the result of the following: sources (includes readers), glyph_sources.


The selected object must be the result of the following: sources (includes readers), filters


The selected dataset must be one of the following types (or a subclass of one of them): vtkPolyData.


The selected dataset must be one of the following types (or a subclass of one of them): vtkTable, vtkMultiBlockDataSet


The value must be set to one of the following: ArrowSource, ConeSource, CubeSource, CylinderSource, LineSource, SphereSource, GlyphSource2D.


|-
| '''Mask Points'''<br>''(UseMaskPoints)''
|
|
If the value of this property is set to 1, limit the maximum number of glyphs to the value indicated by MaximumNumberOfPoints. (See the MaximumNumberOfPoints property.)
| '''Variables of Interest'''<br>''(SelectArrays)'
 
Choose arrays whose entries will be used to form observations for statistical analysis


| 1
|
|
Only the values 0 and 1 are accepted.


An array of scalars is required
|}




==Glyph With Custom Source==
|
| '''Deviations should be'''<br>''(SignedDeviations)'


Should the assessed values be signed deviations or unsigned


This filter generates a glyph at each point of the input data set.  The glyphs can be oriented and scaled by point attributes of the input dataset.
|


The Glyph filter generates a glyph at each point in the input dataset. The glyphs can be oriented and scaled by the input point-centered scalars and vectors. The Glyph filter operates on any type of data set. Its output is polygonal. This filter is available on the Toolbar.<br>
The value must be one of the following: Unsigned (0), Signed (1)


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Input'''<br>''(Input)''
|
This property specifies the input to the Glyph filter. This is the dataset to which the glyphs will be applied.


| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.
| '''Task'''<br>''(Task)'


Specify the task to be performed: modeling and/or assessment
#  "Statistics of all the data," creates an output table (or tables) summarizing the '''entire''' input dataset
#  "Model a subset of the data," creates an output table (or tables) summarizing a '''randomly-chosen subset''' of the input dataset
#  "Assess the data with a model," adds attributes to the first input dataset using a model provided on the second input port; an
#  "Model and assess the same data," is really just operations 2 and 3 above applied to the same input dataset.  The model is first trained using a fraction of the input data and then the entire dataset is assessed using that model


The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet.
When the task includes creating a model (i.e., tasks 2, and 4), you may adjust the fraction of the input dataset used for training.  You should avoid using a large fraction of the input data for training as you will then not be able to detect overfitting. The ''Training fraction'' setting will be ignored for tasks 1 and 3


|-
| '''Maximum Number of Points'''<br>''(MaximumNumberOfPoints)''
|
|
The value of this property specifies the maximum number of glyphs that should appear in the output dataset if the value of the UseMaskPoints property is 1. (See the UseMaskPoints property.)


| 5000
The value must be one of the following: Statistics of all the data (0), Model a subset of the data (1), Assess the data with a model (2), Model and assess the same data (3)
|
The value must be greater than or equal to 0.


|-
| '''Random Mode'''<br>''(RandomMode)''
|
If the value of this property is 1, then the points to glyph are chosen randomly. Otherwise the point ids chosen are evenly spaced.


| 1
|
|
Only the values 0 and 1 are accepted.
| '''Training Fraction'''<br>''(TrainingFraction)'
 
Specify the fraction of values from the input dataset to be used for model fitting. The exact set of values is chosen at random from the dataset
 
| 0.
 
The value must be greater than or equal to 0 and less than or equal to 1
 


|-
| '''Scalars'''<br>''(SelectInputScalars)''
|
|
This property indicates the name of the scalar array on which to operate. The indicated array may be used for scaling the glyphs. (See the SetScaleMode property.)


| �
|
An array of scalars is required.


==Elevation=
|-
| '''Vectors'''<br>''(SelectInputVectors)''
|
This property indicates the name of the vector array on which to operate. The indicated array may be used for scaling and/or orienting the glyphs. (See the SetScaleMode and SetOrient properties.)


| 1
|
An array of vectors is required.


Create point attribute array by projecting points onto an elevation vector
|-
| '''Orient'''<br>''(SetOrient)''
|
If this property is set to 1, the glyphs will be oriented based on the selected vector array.


| 1
The Elevation filter generates point scalar values for an input dataset along a specified direction vector.<br><br><br
|
The Input menu allows the user to select the data set to which this filter will be applied. Use the Scalar range entry boxes to specify the minimum and maximum scalar value to be generated. The Low Point and High Point define a line onto which each point of the data set is projected. The minimum scalar value is associated with the Low Point, and the maximum scalar value is associated with the High Point. The scalar value for each point in the data set is determined by the location along the line to which that point projects.<br
Only the values 0 and 1 are accepted.


{| class="PropertiesTable" border="1" cellpadding="5
|-
| '''Set Scale Factor'''<br>''(SetScaleFactor)''
|
|
The value of this property will be used as a multiplier for scaling the glyphs before adding them to the output.
| '''Property''
 
| '''Description''
| 1
| '''Default Value(s)''
| '''Restrictions''
|
|
The value must be less than the largest dimension of the dataset multiplied by a scale factor of 0.1.
| '''High Point'''<br>''(HighPoint)'


This property defines the other end of the direction vector (large scalar values)


The value must lie within the range of the selected data array.
| 0 0


The coordinate must lie within the bounding box of the dataset. It will default to the maximum in each dimension


The value must lie within the range of the selected data array.


|-
| '''Scale Mode'''<br>''(SetScaleMode)''
|
|
The value of this property specifies how/if the glyphs should be scaled based on the point-centered scalars/vectors in the input dataset.
| '''Input'''<br>''(Input)'


| 1
This property specifies the input dataset to the Elevation filter
|
The value must be one of the following: scalar (0), vector (1), vector_components (2), off (3).


|-
| '''Glyph Type'''<br>''(Source)''
|
|
This property determines which type of glyph will be placed at the points in the input dataset.


| �
The selected object must be the result of the following: sources (includes readers), filters
|
The selected object must be the result of the following: sources (includes readers), glyph_sources.




The selected dataset must be one of the following types (or a subclass of one of them): vtkPolyData.
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet


|-
| '''Mask Points'''<br>''(UseMaskPoints)''
|
If the value of this property is set to 1, limit the maximum number of glyphs to the value indicated by MaximumNumberOfPoints. (See the MaximumNumberOfPoints property.)


| 1
|
|
Only the values 0 and 1 are accepted.
| '''Low Point'''<br>''(LowPoint)'


This property defines one end of the direction vector (small scalar values)
|}


| 0 0


==Gradient==
The coordinate must lie within the bounding box of the dataset. It will default to the minimum in each dimension




This filter computes gradient vectors for an image/volume.
|
| '''Scalar Range'''<br>''(ScalarRange)'


The Gradient filter computes the gradient vector at each point in an image or volume. This filter uses central differences to compute the gradients. The Gradient filter operates on uniform rectilinear (image) data and produces image data output.<br>
This property determines the range into which scalars will be mapped


{| class="PropertiesTable" border="1" cellpadding="5"
| 0
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Dimensionality'''<br>''(Dimensionality)''
|
|
This property indicates whether to compute the gradient in two dimensions or in three. If the gradient is being computed in two dimensions, the X and Y dimensions are used.
| 3
|
The value must be one of the following: Two (2), Three (3).
|-
| '''Input'''<br>''(Input)''
|
|
This property specifies the input to the Gradient filter.


| �
|
The selected object must be the result of the following: sources (includes readers), filters.


==Extract AMR Blocks=


The dataset must contain a point array with 1 components.


This filter extracts a list of datasets from hierarchical datasets


The selected dataset must be one of the following types (or a subclass of one of them): vtkImageData.
This filter extracts a list of datasets from hierarchical datasets.<br


{| class="PropertiesTable" border="1" cellpadding="5
|-
| '''Select Input Scalars'''<br>''(SelectInputScalars)''
|
|
This property lists the name of the array from which to compute the gradient.
| '''Property''
 
| '''Description''
|
| '''Default Value(s)''
| '''Restrictions''
|
|
An array of scalars is required.
| '''Input'''<br>''(Input)'


This property specifies the input to the Extract Datasets filter
|}


|


==Gradient Of Unstructured DataSet==
The selected object must be the result of the following: sources (includes readers), filters




Estimate the gradient for each point or cell in any type of dataset.
The selected dataset must be one of the following types (or a subclass of one of them): vtkHierarchicalBoxDataSet


The Gradient (Unstructured) filter estimates the gradient vector at each point or cell. It operates on any type of vtkDataSet, and the output is the same type as the input. If the dataset is a vtkImageData, use the Gradient filter instead; it will be more efficient for this type of dataset.<br>


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Compute Vorticity'''<br>''(ComputeVorticity)''
|
|
When this flag is on, the gradient filter will compute the
| '''Selected Data Sets'''<br>''(SelectedDataSets)'
vorticity/curl of a 3 component array.


| 0
This property provides a list of datasets to extract
|
Only the values 0 and 1 are accepted.


|-
| '''Faster Approximation'''<br>''(FasterApproximation)''
|
|
When this flag is on, the gradient filter will provide a less
accurate (but close) algorithm that performs fewer derivative
calculations (and is therefore faster).  The error contains some
smoothing of the output data and some possible errors on the
boundary.  This parameter has no effect when performing the
gradient of cell data.
| 0
|
|
Only the values 0 and 1 are accepted.
|-
| '''Input'''<br>''(Input)''
|
|
This property specifies the input to the Gradient (Unstructured) filter.


| �
|
The selected object must be the result of the following: sources (includes readers), filters.


==Extract Block=


The dataset must contain a point or cell array.


This filter extracts a range of blocks from a multiblock dataset


The selected dataset must be one of the following types (or a subclass of one of them): vtkPointSet.
This filter extracts a range of groups from a multiblock dataset<br


{| class="PropertiesTable" border="1" cellpadding="5
|-
|
| '''Result Array Name'''<br>''(ResultArrayName)''
| '''Property''
| '''Description''
| '''Default Value(s)''
| '''Restrictions''
|
|
This property provides a name for the output array containing the gradient vectors.
| '''Block Indices'''<br>''(BlockIndices)'
 
This property lists the ids of the blocks to extrac
from the input multiblock dataset


| Gradients
| �
|-
| '''Scalar Array'''<br>''(SelectInputScalars)''
|
|
This property lists the name of the scalar array from which to compute the gradient.
| �
|
|
An array of scalars is required.
|
| '''Input'''<br>''(Input)'


This property specifies the input to the Extract Group filter


Valud array names will be chosen from point and cell data.
|


The selected object must be the result of the following: sources (includes readers), filters
|}




==Grid Connectivity==
The selected dataset must be one of the following types (or a subclass of one of them): vtkMultiBlockDataSet




Mass properties of connected fragments for unstructured grids.
|
| '''Maintain Structure'''<br>''(MaintainStructure)'


This filter works on multiblock unstructured grid inputs and also works in<br>
This is used only when PruneOutput is ON. By default, when pruning th
parallel. It Ignores any cells with a cell data Status value of 0.<br>
output i.e. remove empty blocks, if node has only 1 non-null chil
It performs connectivity to distict fragments separately. It then integrates<br>
block, then that node is removed. To preserve these parent nodes, se
attributes of the fragments.<br>
this flag to true


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Input'''<br>''(Input)''
| �
| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.


Only the values 0 and 1 are accepted


The selected dataset must be one of the following types (or a subclass of one of them): vtkUnstructuredGrid, vtkCompositeDataSet.


|
|}
| '''Prune Output'''<br>''(PruneOutput)'


When set, the output mutliblock dataset will be pruned to remove empt
nodes. On by default


==Group Datasets==
|
 


Group data sets.
Only the values 0 and 1 are accepted


Groups multiple datasets to create a multiblock dataset<br>


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Input'''<br>''(Input)''
|
|
This property indicates the the inputs to the Group Datasets filter.


| �
|
The selected object must be the result of the following: sources (includes readers), filters.


==Extract CTH Parts=


The selected dataset must be one of the following types (or a subclass of one of them): vtkDataObject.


Create a surface from a CTH volume fraction
|}


Extract CTH Parts is a specialized filter for visualizing the data from a CTH simulation. It first converts the selected cell-centered arrays to point-centered ones. It then contours each array at a value of 0.5. The user has the option of clipping the resulting surface(s) with a plane. This filter only operates on unstructured data. It produces polygonal output.<br


==Histogram==
{| class="PropertiesTable" border="1" cellpadding="5
|
| '''Property''
| '''Description''
| '''Default Value(s)''
| '''Restrictions''
|
| '''Double Volume Arrays'''<br>''(AddDoubleVolumeArrayName)'


This property specifies the name(s) of the volume fraction array(s) for generating parts


Extract a histogram from field data.
|


An array of scalars is required


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Bin Count'''<br>''(BinCount)''
|
The value of this property specifies the number of bins for the histogram.


| 10
|
|
The value must be greater than or equal to 1 and less than or equal to 256.
| '''Float Volume Arrays'''<br>''(AddFloatVolumeArrayName)'


This property specifies the name(s) of the volume fraction array(s) for generating parts
|-
| '''Calculate Averages'''<br>''(CalculateAverages)''
|
This option controls whether the algorithm calculates averages
of variables other than the primary variable that fall into each
bin.


| 1
|
|
Only the values 0 and 1 are accepted.


An array of scalars is required
|-
| '''Component'''<br>''(Component)''
|
The value of this property specifies the array component from which the histogram should be computed.


| 0
| �
|-
| '''Custom Bin Ranges'''<br>''(CustomBinRanges)''
|
Set custom bin ranges to use. These are used only when
UseCustomBinRanges is set to true.


| 0 100
|
|
The value must lie within the range of the selected data array.
| '''Unsigned Character Volume Arrays'''<br>''(AddUnsignedCharVolumeArrayName)'


This property specifies the name(s) of the volume fraction array(s) for generating parts
|-
| '''Input'''<br>''(Input)''
|
This property specifies the input to the Histogram filter.


| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.


An array of scalars is required


The dataset must contain a point or cell array.


|
| '''Clip Type'''<br>''(ClipPlane)'


The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet.
This property specifies whether to clip the dataset, and if so, it also specifies the parameters of the plane with which to clip


|-
| '''Select Input Array'''<br>''(SelectInputArray)''
|
|
This property indicates the name of the array from which to compute the histogram.


| �
The value must be set to one of the following: None, Plane, Box, Sphere
|
An array of scalars is required.




Valud array names will be chosen from point and cell data.
|
| '''Input'''<br>''(Input)'


This property specifies the input to the Extract CTH Parts filter
|-
| '''Use Custom Bin Ranges'''<br>''(UseCustomBinRanges)''
|
When set to true, CustomBinRanges will  be used instead of using the
full range for the selected array. By default, set to false.


| 0
|
|
Only the values 0 and 1 are accepted.


The selected object must be the result of the following: sources (includes readers), filters
|}




==Integrate Variables==
The dataset must contain a cell array with 1 components




This filter integrates cell and point attributes.
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet


The Integrate Attributes filter integrates point and cell data over lines and surfaces.  It also computes length of lines, area of surface, or volume.<br>


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Input'''<br>''(Input)''
|
|
This property specifies the input to the Integrate Attributes filter.
| '''Volume Fraction Value'''<br>''(VolumeFractionSurfaceValue)'


| �
The value of this property is the volume fraction value for the surface
|
 
The selected object must be the result of the following: sources (includes readers), filters.
| 0.


The value must be greater than or equal to 0 and less than or equal to 1


The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet.


|
|}




==Interpolate to Quadrature Points==
==Extract Cells By Region=




Create scalar/vector data arrays interpolated to quadrature points.
This filter extracts cells that are inside/outside a region or at a region boundary


"Create scalar/vector data arrays interpolated to quadrature points."<br>
This filter extracts from its input dataset all cells that are either completely inside or outside of a specified region (implicit function). On output, the filter generates an unstructured grid.<br
To use this filter you must specify a region  (implicit function). You must also specify whethter to extract cells lying inside or outside of the region. An option exists to extract cells that are neither inside or outside (i.e., boundary).<br


{| class="PropertiesTable" border="1" cellpadding="5"
{| class="PropertiesTable" border="1" cellpadding="5
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Input'''<br>''(Input)''
| �
| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.
| '''Property''
| '''Description''
| '''Default Value(s)''
| '''Restrictions''
|
| '''Extract intersected'''<br>''(Extract intersected)'


This parameter controls whether to extract cells that are on the boundary of the region
|


The selected dataset must be one of the following types (or a subclass of one of them): vtkUnstructuredGrid.
Only the values 0 and 1 are accepted


|-
| '''Select Source Array'''<br>''(SelectSourceArray)''
|
Specifies the offset array from which we interpolate values to quadrature points.


| �
|
|
An array of scalars is required.
| '''Extract only intersected'''<br>''(Extract only intersected)'


This parameter controls whether to extract only cells that are on the boundary of the region. If this parameter is set, the Extraction Side parameter is ignored. If Extract Intersected is off, this parameter has no effect
|}


|


==Intersect Fragments==
Only the values 0 and 1 are accepted




The Intersect Fragments filter perform geometric intersections on sets of fragments.
|
| '''Extraction Side'''<br>''(ExtractInside)'


The Intersect Fragments filter perform geometric intersections on sets of<br>
This parameter controls whether to extract cells that are inside or outside the region
fragments. The filter takes two inputs, the first containing fragment<br>
geometry and the second containing fragment centers. The filter has two<br>
outputs. The first is geometry that results from the intersection. The<br>
second is a set of points that is an approximation of the center of where<br>
each fragment has been intersected.<br>


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Slice Type'''<br>''(CutFunction)''
|
|
This property sets the type of intersecting geometry, and
associated parameters.


| �
The value must be one of the following: outside (0), inside (1)
|
The value must be set to one of the following: Plane, Box, Sphere.


|-
| '''Input'''<br>''(Input)''
|
This input must contian fragment geometry.


| �
|
|
The selected object must be the result of the following: sources (includes readers), filters.
| '''Intersect With'''<br>''(ImplicitFunction)'
 


The selected dataset must be one of the following types (or a subclass of one of them): vtkMultiBlockDataSet.
This property sets the region used to extract cells


|-
| '''Source'''<br>''(Source)''
|
|
This input must contian fragment centers.


| �
The value must be set to one of the following: Plane, Box, Sphere
|
The selected object must be the result of the following: sources (includes readers), filters.




The selected dataset must be one of the following types (or a subclass of one of them): vtkMultiBlockDataSet.
|
| '''Input'''<br>''(Input)'


This property specifies the input to the Slice filter
|}


|


==Iso Volume==
The selected object must be the result of the following: sources (includes readers), filters




This filter extracts cells by clipping cells that have point        scalars not in the specified range.
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet


This filter clip away the cells using lower and upper thresholds.<br>


{| class="PropertiesTable" border="1" cellpadding="5"
|-
| '''Property'''
| '''Description'''
| '''Default Value(s)'''
| '''Restrictions'''
|-
| '''Input'''<br>''(Input)''
|
|
This property specifies the input to the Threshold filter.


| �
|
The selected object must be the result of the following: sources (includes readers), filters.


==Extract Edges=


The dataset must contain a point or cell array with 1 components.


Extract edges of 2D and 3D cells as lines


The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet.
The Extract Edges filter produces a wireframe version of the input dataset by extracting all the edges of the dataset's cells as lines. This filter operates on any type of data set and produces polygonal output.<br


{| class="PropertiesTable" border="1" cellpadding="5
|-
|
| '''Input Scalars'''<br>''(SelectInputScalars)''
| '''Property''
| '''Description''
| '''Default Value(s)''
| '''Restrictions''
|
|
The value of this property contains the name of the scalar array from which to perform thresholding.
| '''Input'''<br>''(Input)'
 
This property specifies the input to the Extract Edges filter


| �
|
|
An array of scalars is required.


The selected object must be the result of the following: sources (includes readers), filters


Valud array names will be chosen from point and cell data.


The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet
|-
 
| '''Threshold Range'''<br>''(ThresholdBetween)''
|
The values of this property specify the upper and lower bounds of the thresholding operation.


| 0 0
|
|
The value must lie within the range of the selected data array.


|}


==Extract Level=


==K Means==


This filter extracts a range of groups from a hierarchical dataset


Compute a statistical model of a dataset and/or assess the dataset with a statistical model.
This filter extracts a range of levels from a hierarchical dataset<br


This filter either computes a statistical model of a dataset or takes such a model as its second input.  Then, the model (however it is obtained) may optionally be used to assess the input dataset.
{| class="PropertiesTable" border="1" cellpadding="5
<br>
This filter iteratively computes the center of k clusters in a space whose coordinates are specified by the arrays you select. The clusters are chosen as local minima of the sum of square Euclidean distances from each point to its nearest cluster center. The model is then a set of cluster centers. Data is assessed by assigning a cluster center and distance to the cluster to each point in the