John Biddiscombe CSCS Swiss National Supercomputing Centre
description
Transcript of John Biddiscombe CSCS Swiss National Supercomputing Centre
John Biddiscombe
CSCS
Swiss National Supercomputing Centre
03/06/2008
Working with Timein ParaView
Contents
Data Formats for time-dependent data
Overview of GUI controls
Animation Controls
Connection between GUI and internals
Comparative Visualization mode
Temporal Pipeline Overview
Time Dependent Filters (vtkTemporalXXX)
Manipulating Time in Filters (C++ code)…
Gotchas & Bugs
Future Plans
Data Import
Formats Supported
• Exodus (used by several US research facilities)
• vtkPVDReader (vtk XML Collection)• filename.pvd + Filename-00.vtu/vti/vtp etc
• vtkFileSeriesReader
• vtkXML * Reader• PolyData, UnstructuredGrid, StructuredGrid, ImageData, RectilinearGrid,
Multiblock, Heirarchical etc.
• Legacy VTK files with 001, 002, 003 filenames
• Ensight (case files, ASCII/Binary data)
• OpenFOAM, SpyPlot, Phasta, STL, MFIX (untested by me)
• Xdmf (extensible data model format)• XML light data with geometry/time information inside• Hdf5 – heavy – big data containing scalars/fields
• (CSCS) custom readers include netCDF, H5Part (from CSCS web site)
Vtk (XML based) file format
VTK Collection - Easy to create by hand if necessaryA General purpose holder for vtk XML files of all types
vtu=unstructured, vtp=polydata, vtr=rectilinear, vti=imagedata
Each individual file can be binary/text, compressed or not<VTKFile type="Collection" version="0.1" byte_order="LittleEndian">
<Collection>
<DataSet timestep="0.01" group="" part="0" file="Foo_001.vtu"/>
<DataSet timestep=“0.02" group="" part="0" file=“Foo_002.vtu"/>
<DataSet timestep=“0.03" group="" part="0" file=“Foo_003.vtu"/>
</Collection>
</VTKFile>
The VTK Collection is in fact a generic holder for MultiBlock composite datasets which can store time information too.
The vtkXMLReader family is responsible for loading this kind of data.
User can use vtkXML_xxx_Writer to write N time steps of any kind of data and then add a little XML meta data to describe it.
Caveat : pvd time collections are not working well in parallel (NxM split of blocks)
.pvd versus File List
• .pvd collection is a true Time compatible holder for data• Time steps can be specified with real time values• Don’t need to be contiguous or equally spaced
• FileSeriesReader : Selecting *.vtu/p/i/etc • simple but efficient way of loading time series• One step per file• Can’t specify true time values• vtkFileSeriesReader is clever• Load one – get one• Load *.ext, get time series• No C++ changes required to reader
vtkFileSeriesReader : make reader time aware
<FileSeriesReaderProxy name="XMLUnstructuredGridReader"
class="vtkFileSeriesReader"
label="XML Unstructured Grid reader"
file_name_method="SetFileName">
<Documentation
short_help=“blah blah“
long_help=“ditto">
The XML Unstructured Grid reader reads the VTK XML unstructured grid data file format. The standard extension is .vtu.
This reader also supports file series.
</Documentation>
FileSeriesReader (slide 2)
Put details of your existing reader in ExposedProperties
<SubProxy><Proxy name="Reader"
proxygroup="internal_sources"
proxyname="XMLUnstructuredGridReaderCore">
</Proxy>
<ExposedProperties>
<Property name="CellArrayInfo" />
<Property name="CellArrayStatus" />
<Property name="PointArrayInfo" />
<Property name="PointArrayStatus" />
</ExposedProperties>
</SubProxy>
FileSeriesReader (slide 3)
<StringVectorProperty name="FileName"clean_command="RemoveAllFileNames"
command="AddFileName"
animateable="0"
number_of_elements="0"
repeat_command="1">
<FileListDomain name="files"/>
<Documentation>
The list of files to be read by the reader. If more than 1 file is specified, the reader will switch to file series mode in which it will pretend that it can support time and provide 1 file per time step.
</Documentation>
</StringVectorProperty>
FileSeriesReader (slide 4)
The part which makes it ‘time aware’
<DoubleVectorProperty name="TimestepValues"
information_only="1">
<TimeStepsInformationHelper/>
<Documentation>
Available timestep values.
</Documentation>
</DoubleVectorProperty>
</FileSeriesReaderProxy>
Old and New Time in ParaView
In PV2.x Time was generally animated by changing the TimeStep value of a reader (or filter sometimes).
In PV3.x Time is an information variable/object passed down the pipeline which makes it possible for filters to modify time before passing it to their source. For this reason, the GUI sets the time inside the Rendering/Mapping code and not via a TimeStep variable.
Some older (custom) readers may still have a TimeStep variable, but this is being phased out and its use is not encouraged – unless you are trying to do something ‘a bit special’ (see later slides).
Reader XML
<DoubleVectorProperty name="TimestepValues"information_only="1"><TimeStepsInformationHelper/><Documentation>
Available timestep values.</Documentation>
</DoubleVectorProperty>
For any readerIf you omit this (this is all you need in the XML)Then you won’t see the time information.
It connects the TIME_STEPS key to the GUI
The old method (xml for reference)
<IntVectorProperty name="TimeStep" command="SetTimeStep"
number_of_elements="1" default_values="0"
animateable="0"
information_property="TimestepValues">
<IntRangeDomain name="range">
<RequiredProperties>
<Property name="TimeStepRangeInfo" function="Range"/>
</RequiredProperties>
</IntRangeDomain>
<Documentation> Set the current timestep. </Documentation>
</IntVectorProperty>
And for convenience we usually provided a GetTimestepValues(vector)
C++ Reader : RequestInformation
Scan files/data structures and build a list/vector/array of times
Set TIME_STEPS for discrete time data (most readers really)
outInfo->Set(
vtkStreamingDemandDrivenPipeline::TIME_STEPS(),
&this->TimeStepValues[0], this->TimeStepValues.size());
Set TIME_RANGE if continuous, but can also be set for discrete
double timeRange[2];
timeRange[0] = this->TimeStepValues.front();
timeRange[1] = this->TimeStepValues.back();
outInfo->Set(
vtkStreamingDemandDrivenPipeline::TIME_RANGE(), timeRange, 2);
C++ Reader : RequestData
Find the correct time step (index into array of step values)
if (
outInfo->Has(vtkStreamingDemandDrivenPipeline::UPDATE_TIME_STEPS()))
{
// usually only one actual step requested
double requestedTimeValue = outInfo->Get(vtkStreamingDemandDrivenPipeline::UPDATE_TIME_STEPS())[0];
this->ActualTimeStep = vtkstd::find_if(
this->TimeStepValues.begin(), this->TimeStepValues.end(),
vtkstd::bind2nd( WithinTolerance( ), requestedTimeValue ))
- this->TimeStepValues.begin();
}
C++ Reader : RequestData
Time stamp the output DataObject using DATA_TIME_STEPS
output->GetInformation()->Set(vtkDataObject::DATA_TIME_STEPS(), &requestedTimeValue, 1);
Nothing bad happens if you don’t – But filters which use the time information won’t get what they need.
vtkTemporalPathLineFilter builds lists of data times for each frame and joins the dots.
You can read the UPDATE_TIME_STEPS key, but it might not be the same, and is strictly only present during RequestUpdateExtent
GUI Controls
Animating with Time
Animation GUI Controls
Time value displayed in toolbar –
Time step mode – user can change step
Sequence mode – user can change time freely
VCR style toolbar has play controls
(play, step forward/back, jump to start/end)
Data with Time support shows the timesteps in the information tab. (Lacks ability to click on timestep and jump to it)
Animation control has settings for time stepping and keyframes
Abort button to stop movie generation not obvious
Time Modes in Animation Inspector
Snap to TimeSteps When you click ‘play’ the animation will
begin at whatever time step you are on and continue until it either reaches the end (or is stopped manually).
When stopped the animation will continue from where it left off if restarted.
Each frame played represents a single time step of the input data
There is no need to set any keyframes or specify any particular property to animate.
The Track selection is used to select or create keyframes
Time Modes in Animation Inspector
Snap to TimeSteps : * * * Warning * * *When dataset 1 is loaded it may have time values
0, 1, 2, 3, …..N
When dataset 2 is loaded it may have time values
0.5, 1.5, 2.5, 3.5, …..M
Playing an animation in Snap To TimeSteps mode will traverse ALL KNOWN Timesteps – which means
0, 0.5, 1, 1.5, 2, 2.5 …..max(M,N)
This can cause unexpected results!
Future time support should allow you to ‘Snap to active pipeline steps’ so that only the times exported for a particular dataset/filter will be traversed. (In development).
Fix : Use Sequence mode and ‘lock’ the start and end times to prevent changes
Time Modes in Animation Inspector
Sequence ModeThe start and end times correspond to the
max and min values of time in the data you loaded.
If you manually change the start/end times you can ‘Lock’ the new times – this prevents them being reset to the default start/end times if new data is loaded.
Animation will now ignore the Time steps present in the data and use interval=(end/start)/(numFrames-1)
This is frequently NOT WHAT YOU WANT
Time Modes in Animation Inspector
Worked example interval=(end/start)/(numFrames-1)
60.001424 - 50.001424 = 10
Num Frames = 10
We should get our original time steps back (1s per step)
In fact we get 10/(numFrames-1) = 1.11111111s/frame
Need to use 11 frames to get 0,1,2,3,4,5,6,7,8,9,10
Note : In the some versions of PV3 selecting time values which are not exactly the same as those present will produce no update. It should snap to the nearest time step, but does not. See SnapToTimeSteps for a fix.
Time Modes in Animation Inspector
Real TimeAnimates using the ‘Wall time’
Not always useful for the majority of filters/data sources that we use
Useful to animate ‘as fast as we can’ if data was stored with time representing a real clock value and we wish to ‘play back’ data in real time.
In this mode not all times may be displayed. Some will be skipped or some may be on screen for ages.
Could also be very handy for integrating generators of data (eg sensor equipment) into the gui and displaying the real time update of the sensor (no examples of this yet though)
Comparative visualization
Comparative View Inspector
• Allows MxN array of views on the same data• Allows a variable to be changed along the X axis.• Wrong - limitation <is> used to be that time must be between 0.0-1.0
for the view to operate
Solution :
TemporalShiftScale with
1/N scale factor
(or use Normalize flag set if present in CVS)
Same Data at multiple T
Uses Time steps of selected object
Avoid mismatched time display in same window.
FilmStrip uses X
Comparative : X&Y
Works, but patience required
Comparative viz Summary
• Much easier than • Creating multiple windows manually• Setting up Shift/Scale• Instantiating Pipelines• Setting view/display properties• Can also use other plot styles.
Time Dependent Algorithms/Filters
Pipeline Introduction
Pipeline Introduction
The pipeline is demand driven with data flowing downstream
Information flowing up and down stream
In PV3 Time is part of the Information flow.
Data source filter(s) Display/GUIRenderer
Data
InformationUPDATE_TIME_STEPS
How does it work
• How does the pipeline actually fit together• All filters are connected together by Executives which receive
information from downstream (and upstream) and decide• Are the data inputs valid• Are the data outputs valid• Is everything else valid• Has anything changed since I last updated
In PV3 Time is passed as information and the executives can LOOP portions of the pipeline over multiple time steps
This means that filters can request multiple time steps
This enables us to implement Time Dependent Algorithms
Pipeline Looping
• vtkTemporalDataSet• When the pipeline is looped to generate multiple time steps, the executive
generates a dataset collection• The collection is passed to the temporal algorithm• The algorithm can request any number of time steps• But usually 2 (linear interpolation)
• In order to make looping work, some information keys are used internally
Information Keys
During Updates, the pipeline makes 4 request passes…DataObject, Information, UpdateExtent, Data
Keys exported by time aware sourcesTIME_RANGE (continuous), TIME_STEPS (discrete)
Time aware reader will declare N steps 0.0, 0.1, 0.2…..etc
Keys used during requestsUPDATE_TIME_STEPS (Filter says ‘I want these’)
Interpolator says I need times 0.1 and 0.2 for example
Keys set during executionDATA_TIME_STEPS (Source says ‘I made these’)
Data generator says I generated times 0.1 and 0.2
Keys used internally by executivesREQUIRES_TIME_DOWNSTREAM (looping will be needed)
CONTINE_EXECUTING (multiple passes inside algorithm)
Time Dependent Algorithms/Filters
Interpolation
(Linear) Interpolation
• vtkTemporalInterpolator• Linearly interpolates between 2 time steps• When Time T.5 is requested it requests times T and T+1
• 2 Modes of Operation• Continuous• Discrete
• Continuous Mode• DiscreteTimeStepInterval=0.0• Filter generates no TIME_STEPS on output – just a TIME_RANGE• GUI can request any time between min/max
• Discrete Mode• DiscreteTimeStepInterval>0• Filter generates (max-min)/DiscreteTimeStepInterval steps• GUI sees discrete data with new TIME_STEPS values
(Linear) Interpolation
Continuous modeInput data (left) has N discrete time stepsOutput data (right) has no time stepsIt does report a TIME_RANGESo the GUI knows that any time between min/max can be requested
Interpolation – Continuous mode
Data Courtesy : David Graham, Plymouth UK.
(Linear) Interpolation
Discrete modeExample :DiscreteTimeStepInterval=0.01
New time steps are generated and the output data ‘looks’ like it has 10x as many time steps.
Note that no interpolation of the data has been performed yet, only when something is actually rendered/requested will the interpolation take place.
Interpolation – Discrete mode
(Linear) Interpolation
• What can be interpolated• Any Dataset which does not change topology between time steps• Point positions are interpolated
• Connectivity (cells are copied)• Point Data is interpolated• Cell Data is interpolated• ImageData/PolyData/Rectilinear/Unstructured
• All can be interpolated if cell connectivity and number of cells remains the same
• MultiBlock/MultiGroup/Heirarchical/AMR
• If the tree structure remains the same between time steps and the individual leaves satisfy above conditions
• Other interpolation methods could be added
• Discrete mode• Given an input with N time steps, but a few are
accidentally missing (lost of never generated)• Set DiscreteTimeStep Interval to the original time
step size (say 0.1 or 0.01 etc)• Data saved every Nth frame to save IO time.• Output now seems to be exactly the same as the
input – except that the steps that were missing from the input are recreated using interpolation when requested on the output
• Animate using ‘Snap To TimeSteps’ mode
• Animation will look like intended original
Fixing Problems with the interpolator
Problem Fixing Example (Interpolation)
BeforeMissing data, low samplingProblems for particle tracer
AfterLovely
Temporal DataSet Cache
Interpolation – Use a cache
If animation from 0->t is performed using a TemporalInterpolator, the interpolator will request 2 time steps each time it updates
Interpolating at 0.1 spacing between 2 steps causes
Step 0 + Step 1 : Output Step 0.1
Step 0 + Step 1 : Output Step 0.2 Each step N times!
Step 0 + Step 1 : Output Step 0.3
Use a TemporalDataSetCache to store 2 timesteps and prevent this repeated re-execution of the pipeline
Data source(time aware)
TemporalDataSetCache
Display/GUIRenderer
Interpolator
Branching Time – Use a cache
It’s not just the filter delivering the data at T, but the whole upstream pipeline that is protected…
Consider the case where a pipeline branches and different T values are requested. The cache prevents updates from one section propagating too far upstream and forcing the other branch to be re-executed needlessly.
Simple filter(s) (no special time requirements)
Temporal DataSetCache
TemporalFilter(requires multiple time
steps, e.g.. Particle tracer)
TemporalShiftScale(modifies time values)
Display/GUIRenderer
Data source(time aware)
Branching Time – Caution in the GUI
When different values to T are visible/manipulated
Only display the leaf nodes of the pipeline
Rendering intermediate portions can trigger unwanted/confusing updates
Simple filter(s) (no special time requirements)
Temporal DataSetCache
TemporalFilter(requires multiple time
steps, e.g.. Particle tracer)
TemporalShiftScale(modifies time values)
Display/GUIRenderer
Data source(time aware)
UPDATE_TIME_STEPSDisplay/GUI
Renderer
UPDATE_TIME_STEPS
Multiple Inputs
Related Cautionary Note #1
• Time dependent filters with multiple inputs• Trigger updates on all inputs• Particle Tracer is one example
Multiple Inputs
Temporal DataSetCache
Particle TracerDisplay/GUI
RendererData source(time aware)
UPDATE_TIME_STEPS
UPDATE_TIME_STEPS
Slice – Seed Points(for example)
Avoid this.Save Seeds if possible
Temporal Snap to TimeSteps
SnapToTimeSteps Example
Data source(time aware)
TemporalDataSetCache
Display/GUIRenderer
Interpolator
Snap To TimeStep
Time To Text
Time To Text
Time Display Side note
Source : Time SourceTakes time from the UPDATE_TIME_STEPS
Actually it takes it directly from the view which is responsible for setting the key on the filter/output
Filter->Temporal->Annotate TimeTakes its time from DATA_TIME_STEPS
Which is the actual time step output from the filter
The two might not always be the same (snap to timestep for example)
Time Shifting
Temporal Shift Scale
Changes time between the input and output of a filter
Can be used to compare the same data at 2 different values of T (though the comparative viz view is easier to use in some ways)
Invaluable for combining different datasets with different T values
See example pipeline below
Tout = PreShift + Tin*Scale + PostShift
NB. +ve PostShift produces +ve delay of output time
seems the wrong way around
but time 0 is now time N, so it takes N seconds to get to it
Temporal Shift Scale
Pre-Shift = -50.0014
Scale = 1/10
Post-Shift = 3
Before50-0014 - 60.0014
After3.0 – 4.0
Developer Tip : Hiding bad time data
In RequestDataif (outInfo->Has(vtkStreamingDemandDrivenPipeline::UPDATE_TIME_STEPS())) {
double requestedTimeValue = outInfo-> Get(vtkStreamingDemandDrivenPipeline::UPDATE_TIME_STEPS())[0];
if (requestedTimeValue<this->TimeStepValues.front() || requestedTimeValue>this->TimeStepValues.back())
{
this->TimeOutOfRange = 1;
}
output->GetInformation()->Set(vtkDataObject::DATA_TIME_STEPS(), &requestedTimeValue, 1);
}
…
if (this->TimeOutOfRange && this->MaskOutOfTimeRangeOutput) {
// don't do anything, just return success
return 1;
}
Developer Tip : Normalize Time
In RequestInformation
if (this->NormalizeToUnitTime && this->TimeStepValues.size()>0) {
double t1 = this->TimeStepValues.front();
double t2 = this->TimeStepValues.back();
double t3 = (t2-t1)>0 ? (1.0/(t2-t1)) : 1.0;
for (unsigned int i=0; i<this->TimeStepValues.size(); i++) {
double t = this->TimeStepValues[i];
this->TimeStepValues[i] = t3*(t-t1);
}
}
Then everything comes out {0,1}
Feature might be available in ShiftScale. Regional Variations
Comparative Vis (using Time shift)
• Time shift + Interpolation + Trails• 3 time dependent features in 1 go
Temporal Shift Scale
Periodic Mode :Turns N time steps spanning t time units into
N*T steps spanning T*t units
Periodic End Correction
If simulation steps are {0,1,2…N-1} and {N-1} is identical to {0}
Periodic end correction OFF = {0,1,2…N-1,1,2,3..N-1}
Otherwise {0,1,2…N-1,1,2,3..N-1} causes duplicated step
If simulation steps are {0,1,2…N-1} and {N-1} is different from {0}
Periodic end correction On
Otherwise {0,1,2…N-1,0,2,3..N-1} causes duplicated step
Periodic example
2 Separate Datasets
one 40 steps
one 80 steps
Duration 1s (approx)
Need 5+hours
80*3600*5 = 1.44E6
Tried 10,000 Periods in ParaView (1 day?)
Need a better model!
Particle Tracer Pipeline (one nasty example)
DataSet 1Temporal
Cache
Particle Tracer
Interpolate
PathLines
DataSet 2 Shift ScaleTemporal
Cache
Seeds 1
GUI
Seeds 2
Periodic Time + Resampling + Time Shift
Side Note : XML for Temporal Support
<SourceProxy name="TemporalSnapToTimeStep"
class="vtkTemporalSnapToTimeStep"
label="Temporal Snap-to-Time-Step">
<InputProperty name="Input" command="SetInputConnection">
<ProxyGroupDomain name="groups">
<Group name="sources"/>
<Group name="filters"/>
</ProxyGroupDomain>
<DataTypeDomain name="input_type" composite_data_supported="1">
<DataType value="vtkDataObject"/>
</DataTypeDomain>
</InputProperty>
Will change in future : no way of saying : DataType : PolyData : Temporal_required
Particle Tracer
TemporalStreamTracer
Particle Tracing
All Inputs must have same vector field
Multiple Multiblock Inputs supported (Temporal Required) Meshes can be dynamic
Parallel operation
If input dataset has N time stepsParticle tracer will generate N-1 output steps
Output step 0 time value corresponds to input step {0,1} timeNothing can be generated until 1 time period has passed
Seed points are supplied as separate inputs
Use SetTimeStep to combat odd time input combinations
Request Update Extent
for (int i=0; i<numInputs; i++) {
vtkInformation *inInfo = inputVector[0]->GetInformationObject(i);
// our output timestep T is timestep T+1 in the source
// so output inputTimeSteps[T], inputTimeSteps[T+1]
inInfo-> Set(vtkStreamingDemandDrivenPipeline::UPDATE_TIME_STEPS(),
&this->InputTimeValues[this->ActualTimeStep], 2);
vtkDebugMacro(<< "requested 2 time values : "
<< this->InputTimeValues[this->ActualTimeStep] << " "
<< this->InputTimeValues[this->ActualTimeStep+1]);
}
Particle Tracing (setup example)
Source (seedpoints)LineSource 100 points
Time Step resolutionLeave as 1 – this can be used to scale time if the input time was not stored correctly (e.g. it goes 0…N but should be 0.1 0.2 0.3 etc)
Time Step (output index)Set to zero initially – this will request steps, (0,1) from the input and the time actually corresponds to T=1 (but it will be the 0th step on the output)
Particle Tracing
Force re-injectionevery 1 or 2 time steps
Particles will be injected at the seed points every N steps
Input vectorsUsually a velocity field, but could be another
Initial Integration stepUsed by Runge-Kutta integration to make incremental velocity field approximations
Can be smaller but 0.25 usually OK
Static Seeds - Static MeshForce optimizations
GEOMETRY_NOT_MODIFIED (work in progress)
Particle Tracing
Ignore pipeline timeThis is very important – the particle tracer generates less output steps than the input (-1) and so we cannot (yet) use the default animation controls due to bug mentioned earlier.
NB. This works now, but the comment is useful
We therefore instruct the particle tracer to ignore pipeline time and instead animate the Timestep property from 0 to N-2 (if the input has N steps, the Particle tracer has N-1 steps output, so we go from 0 to N-2 to get the correct number)
Particle filename (not shown)An option to store particles to disk will be included at a future date.
Side Note : Ignore Pipeline Time
if (this->IgnorePipelineTime) {
if (this->TimeStep<this->OutputTimeValues.size()) {
requestedTimeValue = this->OutputTimeValues[this->TimeStep];
} else {
requestedTimeValue = this->OutputTimeValues.back();
}
this->ActualTimeStep = this->TimeStep;
vtkDebugMacro(<< "SetTimeStep : requestedTimeValue “<< requestedTimeValue << " ActualTimeStep "
<< this->ActualTimeStep);
}
else {
the usual stuff to get requested time
}
Particle Tracing
To generate animation of particlesUse Sequence Mode Animation
Use N-1 Frames (because there will be N-1 steps generated – this data had 51 steps on the input indexed as 0-50), so we use 50 frames for output
Create a Keyframe on ParticleTracer TimeStep.
Set Keyframe index 0 Time to start time = 0.0 here
Value to TimeStep 0
Set Keyframe index 1 Time to end time = 7.99 in this example
Value to 49 (last index = 51-2)
Animation can now be played/saved as movie
Francis Turbine
PathLineFilter
Pathline Filter
• Connects to output of Particle tracer
• Can be used on any dataset with points (not just particles)
• Now supports selection of subset• But needs to be updated to use vtkSelection type• Uses Ids from selection dataset to choose points for line construction
• Is not strictly a vtkTemporalXXX filter because it does not loop time• Listents to DATE_TIME_STEPS on input and builds list from that
• See other slides for example of usage
Plotting Data
over Time
03/06/2008
Temporal Statistics
Temporal Statistics
Computes
Mean
Min
Max
Standard Deviation
More can be added
Can take time!
03/06/2008
Selection+Time
Selection over time
• The same procedure can be used to query a particle over all available time
• Extract Selection over time filter builds a spreadsheet of values for the selected IDs over all time steps • NB: Can’t set a sub region of time using the animation controls yet, but
this feature will be coming
• Selection tutorial should cover possible types• Cell/Point/Global IDs can be used here
03/06/2008
Plot Selection over time
03/06/2008
Which Point
to display
Which field(s)
Plot Selection over Time
03/06/2008
Animations with Non simple time
How to animate a slice on a time-dependent dataset
Problem
When I try to animate, time changes as well as the slice
I can’t set time start/end to constants and then animate slice alone
ParaView hangs because of zero increment
Trying to fool it with tiny increments is not safe.
Show animation viewer and double click time track
Now animate the slice or other property using sequence mode
And keyframes to suit.
Demo 1
• How to animate a slice, and then animate the data?
Double click on these tracks
Setup a slice keyframe
• Create Slice offset keyframe• Animate a slice 50 frames one way• 50 frames back again• Note that extents are +/- 1.5 = 3• Check values when adding keyframes
Change the Time track itself
• Double click Time track
• Time is variable• It has its own keyframes• Fix time from frames 1-50• Animate time from 50 to 50+60
Sequence mode coordination
• Make sure the Animation inspector has the same information as the animation viewer
• And….the keyframes• When you add/remove them, or adjust the start/end time, they get
rescaled• Could do with a ‘locking keyframe time’ option here
• The time here should be thought of as frames
Demo 2
Fixed, forward and reverse time in one animation
Animation (frame) time
View (data) time
We need tracks per dataset – to combine different sources
Animate Camera from Python
phi = range(0, 360)
for i in phi:
view.CameraPosition = [2400*math.cos(i*math.pi*2.0/360), 2400*math.sin(i*math.pi*2.0/360), 300]
view.StillRender()
imgfile = "/path/to/snapshot.%03d.png" % i
view.WriteImage(imgfile, "vtkPNGWriter", 1)
To be Continued
Python versions of TimeAnimationCue, Scene, View
Exercise for the reader (Utkarsh) : recreate fancy time animations in Python
Conclusion
Few Time dependent filters in ParaView so far
But …
Already powerful tool for animations/analysis
Animation improvements and time step handling will make it hard to beat in terms of features and flexibility