def loadSources(self, surface=False, prefix="visdump_data",
surface_prefix="visdump_surface_data"):
"""Loads source files for subsurface and potentially surface."""
if prefix is None:
self.subsurface_src = None
else:
self.subsurface_src = ":".join((self.hostname, os.path.join(self.directory, "%s.VisIt.xmf"%prefix)))
if surface_prefix is None:
self.surface_src = None
else:
self.surface_src = ":".join((self.hostname, os.path.join(self.directory, "%s.VisIt.xmf"%surface_prefix)))
# open the subsurface database
if self.subsurface_src is not None:
v.OpenDatabase(self.subsurface_src)
if surface_prefix is not None:
# open the surface database
v.OpenDatabase(self.surface_src)
if prefix is not None:
# create the database correlation
v.CreateDatabaseCorrelation("my_correlation", (self.subsurface_src, self.surface_src), 0)
v.SetActiveTimeSlider("my_correlation")
# create vector expressions for ponded depth and snow depth
v.DefineVectorExpression("ponded_depth_displace", "{0,0,ponded_depth.cell.0}")
v.DefineVectorExpression("snow_displace", "{0,0,snow_depth.cell.0+ponded_depth.cell.0}")
def define(ename, edef, etype='scalar', echo=False):
"""
Defines a new expression.
If expression with given name already exists the new
definition will replace it.
"""
etype = etype.lower()
if not etype in ["scalar", "vector", "curve", "array", "tensor"]:
raise VisItException("Unsupported expression type: %s" % etype)
delete(ename)
if exists(ename):
raise VisItException("Cannot redefine database expression: %s" % ename)
if etype == "scalar":
visit.DefineScalarExpression(ename, edef)
elif etype == "vector":
visit.DefineVectorExpression(ename, edef)
elif etype == "curve":
visit.DefineCurveExpression(ename, edef)
elif etype == "array":
visit.DefineArrayExpression(ename, edef)
elif etype == "tensor":
visit.DefineTensorExpression(ename, edef)
if echo:
print "[Expression: %s = '%s']" % (ename, edef)
def visit_plot_qcrit_wx_3d(xdmf_dir,
wx_range=(-5.0, 5.0),
q_value=0.1,
config_view=None,
out_dir=os.getcwd(),
out_prefix='wake3d_',
figsize=(1024, 1024),
visit_dir=None,
visit_arch='linux-x86_64',
state=None,
states=None,
states_range=[0, None, 1]):
# Import VisIt package.
if visit_dir is None:
visit_dir = os.environ.get('VISIT_DIR')
if visit_dir is None:
raise ValueError('Provide VisIt installation path or '
'set env variable VISIT_DIR')
sys.path.append(os.path.join(visit_dir, visit_arch, 'lib',
'site-packages'))
import visit
visit.LaunchNowin()
# Check version of VisIt.
visit_check_version(visit.Version())
# Define some variables to get the q_crit and wx_cc.
p_xdmf_path = os.path.join(str(xdmf_dir), 'p.xmf')
visit.OpenDatabase(p_xdmf_path, 0)
visit.DefineScalarExpression("operators/ConnectedComponents/p Grid",
"cell_constant(<p Grid>, 0.)")
visit.DefineCurveExpression("operators/DataBinning/1D/p Grid",
"cell_constant(<p Grid>, 0)")
visit.DefineScalarExpression("operators/DataBinning/2D/p Grid",
"cell_constant(<p Grid>, 0)")
visit.DefineScalarExpression("operators/DataBinning/3D/p Grid",
"cell_constant(<p Grid>, 0)")
visit.DefineScalarExpression("operators/Flux/p Grid",
"cell_constant(<p Grid>, 0.)")
visit.DefineCurveExpression("operators/Lineout/p",
"cell_constant(<p>, 0.)")
visit.DefineCurveExpression(
"operators/Lineout/time_derivative/p Grid_time",
"cell_constant(time_derivative/p Grid_time, 0.)")
visit.DefineCurveExpression(
"operators/Lineout/time_derivative/p Grid_lasttime",
"cell_constant(time_derivative/p Grid_lasttime, 0.)")
visit.DefineCurveExpression("operators/Lineout/time_derivative/p",
"cell_constant(time_derivative/p, 0.)")
visit.DefineScalarExpression("operators/ModelFit/model",
"point_constant(<p Grid>, 0)")
visit.DefineScalarExpression("operators/ModelFit/distance",
"point_constant(<p Grid>, 0)")
visit.DefineScalarExpression("operators/StatisticalTrends/Sum/p",
"cell_constant(<p>, 0.)")
visit.DefineScalarExpression("operators/StatisticalTrends/Mean/p",
"cell_constant(<p>, 0.)")
visit.DefineScalarExpression("operators/StatisticalTrends/Variance/p",
"cell_constant(<p>, 0.)")
visit.DefineScalarExpression("operators/StatisticalTrends/Std. Dev./p",
"cell_constant(<p>, 0.)")
visit.DefineScalarExpression("operators/StatisticalTrends/Slope/p",
"cell_constant(<p>, 0.)")
visit.DefineScalarExpression("operators/StatisticalTrends/Residuals/p",
"cell_constant(<p>, 0.)")
visit.DefineScalarExpression(
"operators/StatisticalTrends/Sum/time_derivative/p Grid_time",
"cell_constant(<time_derivative/p Grid_time>, 0.)")
visit.DefineScalarExpression(
"operators/StatisticalTrends/Sum/time_derivative/p Grid_lasttime",
"cell_constant(<time_derivative/p Grid_lasttime>, 0.)")
visit.DefineScalarExpression(
"operators/StatisticalTrends/Sum/time_derivative/p",
"cell_constant(<time_derivative/p>, 0.)")
visit.DefineScalarExpression(
"operators/StatisticalTrends/Mean/time_derivative/p Grid_time",
"cell_constant(<time_derivative/p Grid_time>, 0.)")
visit.DefineScalarExpression(
"operators/StatisticalTrends/Mean/time_derivative/p Grid_lasttime",
"cell_constant(<time_derivative/p Grid_lasttime>, 0.)")
visit.DefineScalarExpression(
"operators/StatisticalTrends/Mean/time_derivative/p",
"cell_constant(<time_derivative/p>, 0.)")
visit.DefineScalarExpression(
"operators/StatisticalTrends/Variance/time_derivative/p Grid_time",
"cell_constant(<time_derivative/p Grid_time>, 0.)")
visit.DefineScalarExpression(
"operators/StatisticalTrends/Variance/time_derivative/p Grid_lasttime",
"cell_constant(<time_derivative/p Grid_lasttime>, 0.)")
visit.DefineScalarExpression(
"operators/StatisticalTrends/Variance/time_derivative/p",
"cell_constant(<time_derivative/p>, 0.)")
visit.DefineScalarExpression(
"operators/StatisticalTrends/Std. Dev./time_derivative/p Grid_time",
"cell_constant(<time_derivative/p Grid_time>, 0.)")
visit.DefineScalarExpression(
"operators/StatisticalTrends/Std. Dev./time_derivative/p Grid_lasttime",
"cell_constant(<time_derivative/p Grid_lasttime>, 0.)")
visit.DefineScalarExpression(
"operators/StatisticalTrends/Std. Dev./time_derivative/p",
"cell_constant(<time_derivative/p>, 0.)")
visit.DefineScalarExpression(
"operators/StatisticalTrends/Slope/time_derivative/p Grid_time",
"cell_constant(<time_derivative/p Grid_time>, 0.)")
visit.DefineScalarExpression(
"operators/StatisticalTrends/Slope/time_derivative/p Grid_lasttime",
"cell_constant(<time_derivative/p Grid_lasttime>, 0.)")
visit.DefineScalarExpression(
"operators/StatisticalTrends/Slope/time_derivative/p",
"cell_constant(<time_derivative/p>, 0.)")
visit.DefineScalarExpression(
"operators/StatisticalTrends/Residuals/time_derivative/p Grid_time",
"cell_constant(<time_derivative/p Grid_time>, 0.)")
visit.DefineScalarExpression(
"operators/StatisticalTrends/Residuals/time_derivative/p Grid_lasttime",
"cell_constant(<time_derivative/p Grid_lasttime>, 0.)")
visit.DefineScalarExpression(
"operators/StatisticalTrends/Residuals/time_derivative/p",
"cell_constant(<time_derivative/p>, 0.)")
visit.DefineVectorExpression("operators/SurfaceNormal/p Grid",
"cell_constant(<p Grid>, 0.)")
# Define cell-centered velocity vector field.
ux_xdmf_path = os.path.join(str(xdmf_dir), 'u.xmf')
uy_xdmf_path = os.path.join(str(xdmf_dir), 'v.xmf')
uz_xdmf_path = os.path.join(str(xdmf_dir), 'w.xmf')
vel_exp = ('{' +
'pos_cmfe(<{}[0]id:u>, <p Grid>, 1.0),'.format(ux_xdmf_path) +
'pos_cmfe(<{}[0]id:v>, <p Grid>, 0.0),'.format(uy_xdmf_path) +
'pos_cmfe(<{}[0]id:w>, <p Grid>, 0.0)'.format(uz_xdmf_path) +
'}')
visit.DefineVectorExpression('velocity', vel_exp)
# Define Q-criterion.
qcrit_exp = ('q_criterion(' + 'gradient(velocity[0]),' +
'gradient(velocity[1]),' + 'gradient(velocity[2])' + ')')
visit.DefineScalarExpression('q_crit', qcrit_exp)
# Define cell-centered streamwise vorticity.
wx_xdmf_path = os.path.join(str(xdmf_dir), 'wx.xmf')
wx_exp = 'pos_cmfe(<{}[0]id:wx>, <p Grid>, 0.0)'.format(wx_xdmf_path)
visit.DefineScalarExpression('wx_cc', wx_exp)
# Add a pseudocolor of the cell-centered streamwise vorticity.
visit.AddPlot('Pseudocolor', 'wx_cc', 1, 1)
PseudocolorAtts = visit.PseudocolorAttributes()
PseudocolorAtts.minFlag = 1
PseudocolorAtts.min = wx_range[0]
PseudocolorAtts.maxFlag = 1
PseudocolorAtts.max = wx_range[1]
PseudocolorAtts.colorTableName = 'viridis'
PseudocolorAtts.invertColorTable = 1
PseudocolorAtts.opacityType = PseudocolorAtts.Constant
PseudocolorAtts.opacity = 0.8
PseudocolorAtts.legendFlag = 0
visit.SetPlotOptions(PseudocolorAtts)
# Add an isosurface of the Q-criterion.
visit.AddOperator('Isosurface', 1)
IsosurfaceAtts = visit.IsosurfaceAttributes()
IsosurfaceAtts.variable = 'q_crit'
IsosurfaceAtts.contourMethod = IsosurfaceAtts.Value
IsosurfaceAtts.contourValue = (q_value)
IsosurfaceAtts.scaling = IsosurfaceAtts.Linear
visit.SetOperatorOptions(IsosurfaceAtts, 1)
# Remove info about user, time, database, and legend.
AnnotationAtts = visit.AnnotationAttributes()
AnnotationAtts.userInfoFlag = 0
AnnotationAtts.databaseInfoFlag = 0
AnnotationAtts.timeInfoFlag = 0
AnnotationAtts.legendInfoFlag = 0
AnnotationAtts.axes3D.visible = 0
AnnotationAtts.axes3D.triadFlag = 1
AnnotationAtts.axes3D.bboxFlag = 0
visit.SetAnnotationAttributes(AnnotationAtts)
# Parse the 3D view configuration file.
if config_view is not None:
with open(str(config_view), 'r') as infile:
config_view = yaml.load(infile, Loader=yaml.FullLoader)
config_view = config_view['View3DAtts']
# Set attributes of the view.
View3DAtts = visit.View3DAttributes()
for key, value in config_view.items():
if type(value) is list:
value = tuple(value)
setattr(View3DAtts, key, value)
visit.SetView3D(View3DAtts)
visit.SetActiveWindow(1)
visit.Source(os.path.join(visit_dir, visit_arch, 'bin', 'makemovie.py'))
visit.ToggleCameraViewMode()
# Create output directory if necessary.
if not os.path.isdir(str(out_dir)):
os.makedirs(str(out_dir))
# Loop over the states to render and save the plots.
if state is not None:
states = [state]
elif states is None:
if states_range[1] is None:
states_range[1] = visit.TimeSliderGetNStates()
else:
states_range[1] += 1
states = range(*states_range)
for i, state in enumerate(states):
print('[state {}] Rendering and saving figure ...'.format(state))
visit.SetTimeSliderState(state)
if i == 0:
visit.DrawPlots()
RenderingAtts = visit.RenderingAttributes()
visit.SetRenderingAttributes(RenderingAtts)
SaveWindowAtts = visit.SaveWindowAttributes()
SaveWindowAtts.outputToCurrentDirectory = 0
SaveWindowAtts.outputDirectory = str(out_dir)
SaveWindowAtts.fileName = '{}{:0>4}'.format(out_prefix, state)
SaveWindowAtts.family = 0
SaveWindowAtts.format = SaveWindowAtts.PNG
SaveWindowAtts.width = figsize[0]
SaveWindowAtts.height = figsize[1]
SaveWindowAtts.quality = 100
SaveWindowAtts.resConstraint = SaveWindowAtts.NoConstraint
visit.SetSaveWindowAttributes(SaveWindowAtts)
visit.SaveWindow()
os.remove('visitlog.py')
visit.CloseComputeEngine()
visit.Close()
return
def visit_plot_qcrit_wx_3d(xdmf_dir,
wx_range=(-5.0, 5.0),
q_value=0.1,
config_view=None,
out_dir=os.getcwd(),
out_prefix='qcrit_wx_',
figsize=(1024, 1024),
state=None,
states=None,
states_range=[0, None, 1]):
visit_initialize()
# Define some variables to get the q_crit and wx_cc.
p_xdmf_path = os.path.join(str(xdmf_dir), 'p.xmf')
visit.OpenDatabase(p_xdmf_path, 0)
# Define cell-centered velocity vector field.
ux_xdmf_path = os.path.join(str(xdmf_dir), 'u.xmf')
uy_xdmf_path = os.path.join(str(xdmf_dir), 'v.xmf')
uz_xdmf_path = os.path.join(str(xdmf_dir), 'w.xmf')
vel_expr = ('{' +
'pos_cmfe(<{}[0]id:u>, <p Grid>, 1.0),'.format(ux_xdmf_path) +
'pos_cmfe(<{}[0]id:v>, <p Grid>, 0.0),'.format(uy_xdmf_path) +
'pos_cmfe(<{}[0]id:w>, <p Grid>, 0.0)'.format(uz_xdmf_path) +
'}')
visit.DefineVectorExpression('velocity', vel_expr)
# Define Q-criterion.
qcrit_expr = ('q_criterion(' + 'gradient(velocity[0]),' +
'gradient(velocity[1]),' + 'gradient(velocity[2])' + ')')
visit.DefineScalarExpression('q_crit', qcrit_expr)
# Define cell-centered streamwise vorticity.
wx_xdmf_path = os.path.join(str(xdmf_dir), 'wx.xmf')
wx_exp = 'pos_cmfe(<{}[0]id:wx>, <p Grid>, 0.0)'.format(wx_xdmf_path)
visit.DefineScalarExpression('wx_cc', wx_exp)
# Add a pseudocolor of the cell-centered streamwise vorticity.
visit.AddPlot('Pseudocolor', 'wx_cc', 1, 1)
PseudocolorAtts = visit.PseudocolorAttributes()
PseudocolorAtts.minFlag = 1
PseudocolorAtts.min = wx_range[0]
PseudocolorAtts.maxFlag = 1
PseudocolorAtts.max = wx_range[1]
PseudocolorAtts.colorTableName = 'viridis'
PseudocolorAtts.invertColorTable = 0
PseudocolorAtts.opacityType = PseudocolorAtts.Constant
PseudocolorAtts.opacity = 0.8
PseudocolorAtts.legendFlag = 0
visit.SetPlotOptions(PseudocolorAtts)
# Add an isosurface of the Q-criterion.
visit.AddOperator('Isosurface', 1)
IsosurfaceAtts = visit.IsosurfaceAttributes()
IsosurfaceAtts.variable = 'q_crit'
IsosurfaceAtts.contourMethod = IsosurfaceAtts.Value
IsosurfaceAtts.contourValue = (q_value)
IsosurfaceAtts.scaling = IsosurfaceAtts.Linear
visit.SetOperatorOptions(IsosurfaceAtts, 1)
# Remove info about user, time, database, and legend.
AnnotationAtts = visit.AnnotationAttributes()
AnnotationAtts.userInfoFlag = 0
AnnotationAtts.databaseInfoFlag = 0
AnnotationAtts.timeInfoFlag = 0
AnnotationAtts.legendInfoFlag = 0
AnnotationAtts.axes3D.visible = 0
AnnotationAtts.axes3D.triadFlag = 1
AnnotationAtts.axes3D.bboxFlag = 0
visit.SetAnnotationAttributes(AnnotationAtts)
# Parse the 3D view configuration file.
if config_view is not None:
View3DAtts = visit_get_view(config_view, '3D')
visit.SetView3D(View3DAtts)
visit.SetActiveWindow(1)
states = visit_get_states(state=state,
states=states,
states_range=states_range)
visit_render_save_states(states,
out_dir=out_dir,
out_prefix=out_prefix,
figsize=figsize)
visit_finalize()
return
import sys
# visit
sys.path.append("/home/neo/visit/2.11.0/linux-x86_64/lib/site-packages")
import visit as vs
vs.Launch()
vs.OpenDatabase("visit-data/globe.silo")
vs.DefineScalarExpression("myvar", "sin(u) + cos(w)")
# Plot the scalar expression variable.
vs.AddPlot("Pseudocolor", "myvar")
vs.DrawPlots()
# Plot a vector expression variable.
vs.DefineVectorExpression("myvec", "{u,v,w}")
vs.AddPlot("Vector", "myvec")
vs.DrawPlots()
d = input('Press anything to quit')