magnification = 2
viewSize = [700, 600]
backgroundColor = [1, 1, 1] # set background color to white
# Read the desired outputs/metrics from the csv file:
fp_jsonIn = data_IO.open_file(kpiFileAddress)
kpihash = json.load(fp_jsonIn)
kpihash = pvutils.byteify(kpihash)
fp_jsonIn.close()
print(kpihash)
# disable automatic camera reset on 'Show'
paraview.simple._DisableFirstRenderCameraReset()
# Read data file
data2Read = pvutils.getfieldsfromkpihash(kpihash)
dataReader = pvutils.readDataFile(dataFileAddress, data2Read)
# Initialize renderView and display
renderView1, readerDisplay = pvutils.initRenderView(dataReader, viewSize,
backgroundColor)
print("Generating KPIs")
# Set component to "Magnitude" if not given for vector/tensor fields
for kpi in kpihash:
kpihash[kpi] = pvutils.correctfieldcomponent(dataReader, kpihash[kpi])
fp_csv_metrics = data_IO.open_file(metricFile, "w")
fp_csv_metrics.write(",".join(['metric', 'ave', 'min', 'max', 'sd']) + "\n")
# kpiFileAddress = 'boxKPI.csv' # metricFileName = "metrics.csv" solveexoFileAddress = sys.argv[1] kpiFileAddress = sys.argv[2] outputDir = sys.argv[3] metricFileName = sys.argv[4] individualImages = True magnification = 2 # Read the desired outputs/metrics from the csv file: fp_csvin = data_IO.open_file(kpiFileAddress) kpihash = pvutils.read_csv(fp_csvin) fp_csvin.close() cellsarrays = pvutils.getfieldsfromkpihash(kpihash) #### disable automatic camera reset on 'Show' paraview.simple._DisableFirstRenderCameraReset() ## Read the results file : create a new 'ExodusIIReader' solveExo = ExodusIIReader(FileName=solveexoFileAddress) # get animation scene animationScene1 = GetAnimationScene() # update animation scene based on data timesteps animationScene1.UpdateAnimationUsingDataTimeSteps() # only load the data that is needed solveExo.PointVariables = cellsarrays