SciVisAgentBench-tasks / paraview /render-histogram /GS /render-histogram_gs.py
KuangshiAi
merge chatvis bench and main
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# import the simple module from the paraview
from paraview.simple import *
# disable automatic camera reset on 'Show'
paraview.simple._DisableFirstRenderCameraReset()
# create a new 'Wavelet'
wavelet1 = Wavelet()
# get active view
renderView1 = GetActiveViewOrCreate('RenderView')
AssignViewToLayout(renderView1)
# show data in view
wavelet1Display = Show(wavelet1, renderView1)
# reset view to fit data
renderView1.ResetCamera()
# change representation type
wavelet1Display.SetRepresentationType('Surface')
# set scalar coloring
ColorBy(wavelet1Display, ('POINTS', 'RTData'))
# rescale color and/or opacity maps used to include current data range
wavelet1Display.RescaleTransferFunctionToDataRange(True)
# hide color bar/color legend
wavelet1Display.SetScalarBarVisibility(renderView1, True)
# get color transfer function/color map for 'RTData'
rTDataLUT = GetColorTransferFunction('RTData')
rTDataLUT.ApplyPreset('Cool to Warm', True)
# get layout
viewLayout1 = GetLayout()
# split cell
viewLayout1.SplitHorizontal(0, 0.5)
# set active view
SetActiveView(None)
# Create a new 'Histogram View'
histogramView1 = CreateView('XYHistogramChartView')
histogramView1.ViewSize = [500, 780]
# place view in the layout
viewLayout1.AssignView(2, histogramView1)
# set active source
SetActiveSource(wavelet1)
# show data in view
histogram = Show(wavelet1, histogramView1)
# trace defaults for the display properties.
histogram.SelectInputArray = ['POINTS', 'RTData']
histogram.UseColorMapping = True
histogram.LookupTable = rTDataLUT
Render(histogramView1)
agent_mode = 'pvpython'
# save screenshot of the entire layout (both views)
SaveScreenshot(f'render-histogram/results/{agent_mode}/render-histogram.png', viewLayout1)
# save ParaView state
SaveState(f'render-histogram/results/{agent_mode}/render-histogram.pvsm')