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plot_any.py
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plot_any.py
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#PEP-8 style guide says each line should be 79 characters or less.............|
#To edit with Vim, use this
#:set tabstop=8 expandtab shiftwidth=4 softtabstop=4
#For exit command
import sys
#To calculate normal vector for defining transect
import numpy as np
#This is user defined setpaths.py in the current working directory
import setpaths
#This defines the plot parameters
import setparams
# Set the run name to label the images
RUN_NAME = setparams.set_RUN_NAME()
# Calls setpaths.py to define where the files are located
base_EPA_database = setpaths.set_EPA_path()
# Will you compare 2 data sets?
do_compare = setparams.set_do_compare()
if(do_compare):
base_COMPARE_database = setpaths.set_COMPARE_path()
base_conn_string = setpaths.set_conn_string()
#Will you compare against Mark's data, with NDZP?
do_MDR = setparams.set_do_MDR()
# Do you want to remove annotations?
remove_annotation = setparams.set_remove_annotation()
#Define where the images should be printed out
#If the images exist already, they will be overwritten
IMGS_DIR = setpaths.set_image_path()
#How many mi files are available?
#TODO Change this to look at the path and calculate
NUM_MI_FILES = setparams.set_NUM_MI_FILES()
# Just plot the first timestep of every mi file?
# If not, it will do every single timestep of every file
do_first_in_file = setparams.set_do_first_in_file()
#Instead of doing every single timestep of every file,
# skip some of them
skip_states = setparams.set_skip()
#Which plots to do
do_3Dplot = setparams.set_do3Dplot()
do_2Dslice = setparams.set_do2Dslice()
do_2Dtransect = setparams.set_do2Dtransect()
#Which layers to plot
layers = setparams.set_which_layers()
#Add mesh?
#TODO: make a parameter
add_mesh = True
#Set min/max for colormap
#For both TP_EPA and TP_COMPARE
MIN_TP = setparams.set_MIN_TP()
MAX_TP = setparams.set_MAX_TP()
#Set a skew colormap?
SKEW = setparams.set_skew()
#Variable name and units for annotating the main dataset
#Will also be used for the comparison dataset
TITLE_TP_EPA = setparams.set_TITLE_TP_EPA()
UNITS_TP_EPA = setparams.set_UNITS_TP_EPA()
if(do_compare):
#Colormaps for comparision datasets
MIN_TP_DIFF = setparams.set_MIN_TP_DIFF()
MAX_TP_DIFF = setparams.set_MAX_TP_DIFF()
MIN_TP_PERCENT_CHANGE = setparams.set_MIN_TP_PERCENT_CHANGE()
MAX_TP_PERCENT_CHANGE = setparams.set_MAX_TP_PERCENT_CHANGE()
#Variable name for annotating the comparison dataset
TITLE_TP_COMPARE = setparams.set_TITLE_TP_COMPARE()
TITLE_TP_DIFF = setparams.set_TITLE_TP_DIFF()
TITLE_TP_PERCENT_CHANGE = setparams.set_TITLE_TP_PERCENT_CHANGE()
#Unit name for annotating comparison dataset
UNITS_TP_COMPARE = setparams.set_UNITS_TP_COMPARE()
UNITS_TP_DIFF = setparams.set_UNITS_TP_DIFF()
UNITS_TP_PERCENT_CHANGE = setparams.set_UNITS_TP_PERCENT_CHANGE()
#For transects
if (do_2Dtransect):
FROM_X = setparams.set_FROM_X()
FROM_Y = setparams.set_FROM_Y()
TO_X = setparams.set_TO_X()
TO_Y = setparams.set_TO_Y()
#This creates a bird's eye view of the plot. It is called 3D, but now
# since we've added 'Layer', it is not quite 3D...
def create_pseudocolor_3Dplot(TITLE,UNITS,PLOT_VAR,MIN,MAX,FILE_TS,LAYER,SKEW):
#Variable name and units, with option to leave blank
if(remove_annotation):
title.text = ""
text2D_units.text = ""
text2D_timestamp.text = ""
else:
title.text = TITLE + " Layer = " +str(LAYER)
text2D_units.text = UNITS
text2D_timestamp.text = timestamp
#Add pseudocolor plot and set attributes
AddPlot("Pseudocolor", PLOT_VAR, 1, 1)
SetActivePlots(0)
PseudocolorAtts = PseudocolorAttributes()
PseudocolorAtts.minFlag = 1
PseudocolorAtts.maxFlag = 1
PseudocolorAtts.colorTableName = "turbo"
if(SKEW):
PseudocolorAtts.scaling = PseudocolorAtts.Skew # Linear, Log, Skew
PseudocolorAtts.skewFactor = 0.1
PseudocolorAtts.min = 0.002
PseudocolorAtts.max = 0.035
else:
PseudocolorAtts.scaling = PseudocolorAtts.Linear
PseudocolorAtts.min = MIN
PseudocolorAtts.max = MAX
SetPlotOptions(PseudocolorAtts)
#Comment out since showing triangles overwhelms the plot
# if(add_mesh):
# AddPlot("Mesh", "SigmaLayer_Mesh", 1, 1)
DrawPlots()
#Begin defining annotation properties (attributes)
AnnotationAtts = AnnotationAttributes()
#Don't print out username and name of database
AnnotationAtts.userInfoFlag = 0
AnnotationAtts.databaseInfoFlag = 0
#get rid of x-y-x axis thing in the bottom left
AnnotationAtts.axes3D.triadFlag = 0
AnnotationAtts.axes2D.visible = 1
AnnotationAtts.axes2D.xAxis.title.visible = 1
#Turn off annotations to make plots less busy when
# placed on the same page
if(remove_annotation):
AnnotationAtts.legendInfoFlag = 0
AnnotationAtts.timeInfoFlag = 0
AnnotationAtts.axes2D.visible = 0
AnnotationAtts.axes2D.xAxis.title.visible = 0
AnnotationAtts.axes2D.yAxis.title.visible = 0
AnnotationAtts.axes2D.xAxis.label.visible = 0
AnnotationAtts.axes2D.yAxis.label.visible = 0
AnnotationAtts.axes3D.visible = 0
#Officially set attributes
SetAnnotationAttributes(AnnotationAtts)
#End changes to annotation
#Comment out since showing triangles overwhelms the plot
# if(add_mesh):
# AddPlot("Mesh", "SigmaLayer_Mesh", 1, 1)
#Choose which layer will be shown
#- First, turn all of them off
TurnMaterialsOff()
#Names of layers are actually a string...
# might have to confirm this always works
layer_string = "Layer " + str(LAYER)
TurnMaterialsOn(layer_string)
DrawPlots()
#End layer choosing
#Save the image
SaveWindowAtts.fileName = PLOT_VAR + "_LAYER=" + str(LAYER) + FILE_TS
SetSaveWindowAttributes(SaveWindowAtts)
SaveWindow()
#Turn all the layers back on for next plots to work
TurnMaterialsOn()
#End create_3D...
def create_pseudocolor_2Dslice(TITLE,UNITS,PLOT_VAR,MIN,MAX,FILE_TS,SKEW):
#Variable name and units, with option to leave blank
if(remove_annotation):
title.text = ""
text2D_units.text = ""
text2D_timestamp.text = ""
else:
title.text = TITLE
text2D_units.text = UNITS
text2D_timestamp.text = timestamp
#Add pseudocolor plot and set attributes
AddPlot("Pseudocolor", PLOT_VAR, 1, 1)
PseudocolorAtts = PseudocolorAttributes()
PseudocolorAtts.minFlag = 1
PseudocolorAtts.maxFlag = 1
PseudocolorAtts.colorTableName = "turbo"
if(SKEW):
PseudocolorAtts.scaling = PseudocolorAtts.Skew # Linear, Log, Skew
PseudocolorAtts.skewFactor = 0.1
PseudocolorAtts.min = 0.002
PseudocolorAtts.max = 0.035
else:
PseudocolorAtts.scaling = PseudocolorAtts.Linear
PseudocolorAtts.min = MIN
PseudocolorAtts.max = MAX
SetPlotOptions(PseudocolorAtts)
#Scale Z by 1000
AddOperator("Transform",1)
TransformAtts = TransformAttributes()
TransformAtts.scaleZ = 1000
SetOperatorOptions(TransformAtts, 0, 1)
#Add 2d slice, now hardcoded for 35percent of grid
AddOperator("Slice", 1)
SliceAtts = SliceAttributes()
SliceAtts.originType = SliceAtts.Percent
SliceAtts.originPercent = 35
SliceAtts.project2d = 1
SetOperatorOptions(SliceAtts, 1, 1)
##Just for 2D
#Axes are on
AnnotationAtts = AnnotationAttributes()
#Don't print out username and name of database
AnnotationAtts.userInfoFlag = 0
AnnotationAtts.databaseInfoFlag = 0
#get rid of x-y-x axis thing in the bottom left
AnnotationAtts.axes3D.triadFlag = 0
#Turn on 2D axes
AnnotationAtts.axes2D.visible = 1
##x-axis labeling is fine for slices
AnnotationAtts.axes2D.xAxis.title.visible = 1
AnnotationAtts.axes2D.xAxis.label.visible = 1
#For y-axis, we want depth, but VisIt relabels it
AnnotationAtts.axes2D.yAxis.title.visible = 0
#Turn off annotations to make plots less busy when
# placed on the same page
if(remove_annotation):
AnnotationAtts.legendInfoFlag = 0
AnnotationAtts.timeInfoFlag = 0
AnnotationAtts.axes2D.visible = 0
AnnotationAtts.axes2D.xAxis.title.visible = 0
AnnotationAtts.axes2D.yAxis.title.visible = 0
AnnotationAtts.axes2D.xAxis.label.visible = 0
AnnotationAtts.axes2D.yAxis.label.visible = 0
SetAnnotationAttributes(AnnotationAtts)
DrawPlots()
SetActivePlots(0)
SetViewExtentsType("actual")
#Add mesh, which is sigma layers
if(add_mesh):
AddPlot("Mesh", "SigmaLayer_Mesh", 1, 1)
DrawPlots()
#Save the image
SaveWindowAtts.fileName = PLOT_VAR + "_" + "slice" + FILE_TS
SetSaveWindowAttributes(SaveWindowAtts)
SaveWindow()
def create_pseudocolor_2Dtransect(TITLE,UNITS,PLOT_VAR,MIN,MAX,FILE_TS,
FROM_X,FROM_Y,TO_X,TO_Y,SKEW):
#Calculate arbitrary normal vector from plane
p1 = np.array([FROM_X,FROM_Y,0])
p2 = np.array([TO_X, TO_Y, 0])
p3 = np.array([TO_X, TO_Y, -1000])
X = np.array([p2[0]-p1[0],p2[1]-p1[1],p2[2]-p1[2]])
Y = np.array([p3[0]-p1[0],p3[1]-p1[1],p3[2]-p1[2]])
myvec = np.cross(X,Y)
norm_myvec = myvec/np.linalg.norm(myvec)
#Variable name and units, with option to leave blank
if(remove_annotation):
title.text = ""
text2D_units.text = ""
text2D_timestamp.text = ""
else:
title.text = TITLE
text2D_units.text = UNITS
text2D_timestamp.text = timestamp
#Add pseudocolor plot and set attributes
AddPlot("Pseudocolor", PLOT_VAR, 1, 1)
PseudocolorAtts = PseudocolorAttributes()
PseudocolorAtts.minFlag = 1
PseudocolorAtts.maxFlag = 1
PseudocolorAtts.colorTableName = "turbo"
#SKEW colormap allows a wider range to be shown
#TODO: set min/max/factor for skew in setparams
if(SKEW):
PseudocolorAtts.scaling = PseudocolorAtts.Skew # Linear, Log, Skew
PseudocolorAtts.skewFactor = 0.1
PseudocolorAtts.min = 0.002
PseudocolorAtts.max = 0.035
else:
PseudocolorAtts.scaling = PseudocolorAtts.Linear
PseudocolorAtts.min = MIN
PseudocolorAtts.max = MAX
SetPlotOptions(PseudocolorAtts)
#In order to see depth, Scale Z by 1000
AddOperator("Transform",1)
TransformAtts = TransformAttributes()
TransformAtts.scaleZ = 1000
SetOperatorOptions(TransformAtts, 0, 1)
#Select the Box operator to limit range of 'diagonal slice'
# to the start and end of the transect
AddOperator("Box", 1)
BoxAtts = BoxAttributes()
BoxAtts.amount = BoxAtts.Some # Some, All
BoxAtts.minx = min(p1[0],p2[0])
BoxAtts.maxx = max(p1[0],p2[0])
BoxAtts.miny = min(p1[1],p2[1])
BoxAtts.maxy = max(p1[1],p2[1])
BoxAtts.minz = -250000
BoxAtts.maxz = 0
BoxAtts.inverse = 0
SetOperatorOptions(BoxAtts, 2, 1)
#Slice
AddOperator("Slice", 1)
SliceAtts = SliceAttributes()
#SliceAtts.(Point, Intercept, Percent, Zone, or Node)
SliceAtts.originType = SliceAtts.Point
SliceAtts.originPoint = (p1[0], p1[1], p1[2])
SliceAtts.originIntercept = 0
SliceAtts.originPercent = 0
SliceAtts.originZone = 0
SliceAtts.originNode = 0
SliceAtts.normal = (norm_myvec[0], norm_myvec[1], norm_myvec[2])
#SliceAtts.(XAxis, YAxis, ZAxis, Arbitrary, or ThetaPhi)
SliceAtts.axisType = SliceAtts.Arbitrary
SliceAtts.upAxis = (0, 0, 1)
SliceAtts.project2d = 1
SliceAtts.interactive = 1
SliceAtts.flip = 0
SliceAtts.originZoneDomain = 0
SliceAtts.originNodeDomain = 0
SliceAtts.meshName = "Bathymetry_Mesh"
SliceAtts.theta = 0
SliceAtts.phi = 0
SetOperatorOptions(SliceAtts, 1, 1)
# Start setting the annotation attributes
AnnotationAtts = AnnotationAttributes()
#Don't print out username and name of database
AnnotationAtts.userInfoFlag = 0
AnnotationAtts.databaseInfoFlag = 0
#get rid of x-y-x axis thing in the bottom left
AnnotationAtts.axes3D.triadFlag = 0
#Turn on 2D axes
AnnotationAtts.axes2D.visible = 1
##Turn off x-axis because it doesn't mean anything for transects
AnnotationAtts.axes2D.xAxis.title.visible = 0
AnnotationAtts.axes2D.xAxis.label.visible = 0
#For y-axis, we want depth, but VisIt relabels it
AnnotationAtts.axes2D.yAxis.title.visible = 0
AnnotationAtts.axes2D.yAxis.title.units = "meters"
#Turn off annotations to make plots less busy when
# placed on the same page
if(remove_annotation):
AnnotationAtts.legendInfoFlag = 0
AnnotationAtts.timeInfoFlag = 0
AnnotationAtts.axes2D.visible = 0
AnnotationAtts.axes2D.xAxis.title.visible = 0
AnnotationAtts.axes2D.yAxis.title.visible = 0
AnnotationAtts.axes2D.xAxis.label.visible = 0
AnnotationAtts.axes2D.yAxis.label.visible = 0
SetAnnotationAttributes(AnnotationAtts)
#Finished setting annotation
#Overlay mesh, shows sigma layers
if(add_mesh):
AddPlot("Mesh", "SigmaLayer_Mesh", 1, 1)
DrawPlots()
#Zoom in, set min/max to extent, 'actual' extent of data shown
SetViewExtentsType("actual")
SetActivePlots(0)
DrawPlots()
SaveWindowAtts.fileName = PLOT_VAR + "_" + "transect" + FILE_TS
SetSaveWindowAttributes(SaveWindowAtts)
SaveWindow()
###-- All of the above was just defining the 'functions' -------------
## Below is the start of the loop that actually calls the functions
# line 42: start time of simulation needs to be changed accordingly.
import datetime
import calendar
#Define start date
#time:units = "days since 1858-11-17 00:00:00" ;
# time:format = "modified julian day (MJD)" ;
t_start = calendar.timegm(datetime.datetime(1858, 11, 17, 0, 0, 0).timetuple())
slider = CreateAnnotationObject("TimeSlider")
slider.height = 0.05
slider.width = 0.3
slider.position = (0.6, 0.5)
#Set location of Title
#Title text will be redefined for each plot
title = CreateAnnotationObject("Text2D")
title.position = (0.045, 0.94)
title.height = 0.018
title.text = "UNDEFINED"
#Title text will be redefined for each plot
text2D_units = CreateAnnotationObject("Text2D")
text2D_units.position = (0.05, 0.90)
text2D_units.height = 0.015
text2D_units.text = "UNDEFINED"
#Month-Day-Year Hour:Minute:Second
text2D_timestamp = CreateAnnotationObject("Text2D")
text2D_timestamp.position = (0.45, 0.95)
text2D_timestamp.height = 0.015
text2D_timestamp.text = "UNDEFINED"
##Disable Pipeline Caching to decrease memory consumption
SetPipelineCachingMode(0) # Disable caching
#DO LOOP
#Python end range is not included: this is loop from 1 to 13
#TODO...set range...how to do this if outputs don't line up?
for x in range(1,NUM_MI_FILES+1):
mi_ID = x
##Lisa macOS paths, works to save 4 png files
EPA_database = base_EPA_database + str(mi_ID).zfill(4) + ".nc"
if(do_compare):
COMPARE_database = base_COMPARE_database + str(mi_ID).zfill(4) + ".nc"
#TODO check if it works on Windows
conn_string = (base_conn_string + str(mi_ID).zfill(4)
+ ".nc[0]id:TP>, <SigmaLayer_Mesh>)")
#The IMGS_NAME is set below
#Now it is set to overwrite existing files
#Open Databases - the second argument is optional with a default of zero
#Where zero = initial time
OpenDatabase(EPA_database,0)
if(do_compare):
OpenDatabase(COMPARE_database,0)
#CreateDatabaseCorrelation("name",(db1,db2),X)
# Here, X=2 is a time correlation
CreateDatabaseCorrelation("Correlation01",(EPA_database,COMPARE_database),2)
#Use conn_cmfe function to put EPA's TP variable onto Mark's grid
# and call it "TP_EPA"
DefineScalarExpression("TP_EPA",conn_string)
#Define the variables for comparing. For Mark's model, TP consists of NDPZ.
if (do_MDR):
DefineScalarExpression("TP_COMPARE", "PO4 + 0.016*(Detritus+Phytoplankton+Zooplankton)")
else:
DefineScalarExpression("TP_COMPARE", "TP")
#Define difference and percent change
DefineScalarExpression("TP_DIFF", "TP_COMPARE - TP_EPA")
DefineScalarExpression("TP_PERCENT_CHANGE", "(TP_EPA - TP_COMPARE)/abs(TP_COMPARE)*100")
else:
#Script expects 'TP_EPA', even when not comparing it still needs to be defined
DefineScalarExpression("TP_EPA", "TP")
SaveWindowAtts = SaveWindowAttributes()
SaveWindowAtts.outputToCurrentDirectory = 0
SaveWindowAtts.outputDirectory = IMGS_DIR
#Sets the name below
###SaveWindowAtts.fileName = IMGS_NAME
#Setting family to zero means it will overwrite existing files
SaveWindowAtts.family = 0
#Set aspect ratio
#SaveWindowAtts.resConstraint = 1 #NoConstraint
#SaveWindowAtts.width = 700
#SaveWindowAtts.height = 600
##Options are: BMP, CURVE, JPEG, OBJ, PNG, POSTSCRIPT,
## POVRAY, PPM, RGB, STL, TIFF, ULTRA, VTK, PLY, EXR
SaveWindowAtts.format = SaveWindowAtts.PNG
SetSaveWindowAttributes(SaveWindowAtts)
m = GetMetaData(EPA_database)
totalstates = TimeSliderGetNStates()
loopstates = int(totalstates/skip_states)
istate = 0
for state in range(loopstates):
SetTimeSliderState(istate)
tcur = m.times[istate]*86400. + t_start
ts = datetime.datetime.utcfromtimestamp(tcur).strftime('%m-%d-%Y %H:%M:%S')
FILE_TS = "_" + RUN_NAME + "." + datetime.datetime.utcfromtimestamp(tcur).strftime('%m-%d-%Y_%H-%M-%S')
# timestamp = "Time: " + ts + " GMT"
timestamp = ts + " "
slider.text = timestamp
slider.visible=0
if(do_3Dplot):
#def create_pseudocolor_3Dplot(TITLE,UNITS,PLOT_VAR,MIN,MAX,FILE_TS):
for LAYER in layers:
create_pseudocolor_3Dplot(TITLE_TP_EPA,UNITS_TP_EPA,"TP_EPA",
MIN_TP,MAX_TP,FILE_TS,LAYER,SKEW)
DeleteAllPlots()
if(do_compare):
create_pseudocolor_3Dplot(TITLE_TP_COMPARE,UNITS_TP_COMPARE,"TP_COMPARE", MIN_TP,MAX_TP,FILE_TS,LAYER,SKEW)
DeleteAllPlots()
create_pseudocolor_3Dplot(TITLE_TP_PERCENT_CHANGE,UNITS_TP_PERCENT_CHANGE,"TP_PERCENT_CHANGE", MIN_TP_PERCENT_CHANGE,MAX_TP_PERCENT_CHANGE,FILE_TS,LAYER,False)
DeleteAllPlots()
create_pseudocolor_3Dplot(TITLE_TP_DIFF,UNITS_TP_DIFF,"TP_DIFF",MIN_TP_DIFF,MAX_TP_DIFF,FILE_TS,LAYER,False)
DeleteAllPlots()
if(do_2Dslice):
#def create_pseudocolor_2Dslice(TITLE,UNITS,PLOT_VAR,MIN,MAX,FILE_TS):
create_pseudocolor_2Dslice(TITLE_TP_EPA,UNITS_TP_EPA,"TP_EPA",MIN_TP,MAX_TP,FILE_TS,SKEW)
DeleteAllPlots()
if(do_compare):
create_pseudocolor_2Dslice(TITLE_TP_COMPARE,UNITS_TP_COMPARE,"TP_COMPARE", MIN_TP,MAX_TP,FILE_TS,SKEW)
DeleteAllPlots()
create_pseudocolor_2Dslice(TITLE_TP_PERCENT_CHANGE,UNITS_TP_PERCENT_CHANGE,"TP_PERCENT_CHANGE", MIN_TP_PERCENT_CHANGE,MAX_TP_PERCENT_CHANGE,FILE_TS,False)
DeleteAllPlots()
create_pseudocolor_2Dslice(TITLE_TP_DIFF,UNITS_TP_DIFF,"TP_DIFF",MIN_TP_DIFF,MAX_TP_DIFF,FILE_TS,False)
DeleteAllPlots()
if(do_2Dtransect):
#def create_pseudocolor_2Dtransect(TITLE,UNITS,PLOT_VAR,MIN,MAX,FILE_TS):
create_pseudocolor_2Dtransect(TITLE_TP_EPA,UNITS_TP_EPA,"TP_EPA", MIN_TP,MAX_TP,FILE_TS,FROM_X,FROM_Y,TO_X,TO_Y,SKEW)
DeleteAllPlots()
if(do_compare):
create_pseudocolor_2Dtransect(TITLE_TP_COMPARE,UNITS_TP_COMPARE,"TP_COMPARE", MIN_TP,MAX_TP,FILE_TS,FROM_X,FROM_Y,TO_X,TO_Y,SKEW)
DeleteAllPlots()
create_pseudocolor_2Dtransect(TITLE_TP_PERCENT_CHANGE,UNITS_TP_PERCENT_CHANGE,"TP_PERCENT_CHANGE", MIN_TP_PERCENT_CHANGE,MAX_TP_PERCENT_CHANGE,FILE_TS,FROM_X,FROM_Y,TO_X,TO_Y,False)
DeleteAllPlots()
create_pseudocolor_2Dtransect(TITLE_TP_DIFF,UNITS_TP_DIFF,"TP_DIFF",MIN_TP_DIFF,MAX_TP_DIFF, FILE_TS,FROM_X,FROM_Y,TO_X,TO_Y,False)
DeleteAllPlots()
#Comment this out when debugging if you want VisIt to leave the Window open
# DeleteAllPlots()
# Using this break command results in only creating a plot
# with the first timestep of each mi_000X file
if(do_first_in_file):
break
else:
istate += skip_states
DeleteAllPlots()
#If debugging, uncomment break
#break
#Clear the database, not to bog down memory
ClearCacheForAllEngines()
#ENDDO loop
#Comment this out to leave VisIT CLI open after script is complete
sys.exit()
#To edit with Vim, use this
#:set tabstop=8 expandtab shiftwidth=4 softtabstop=4