def xplot_history(self, s, x):
"""plots the historys based on a list
x = 'Reaction force: RF1 at Node 58 in NSET SET-NODE-BOTTOM'
Building the input from info from the odb
"""
sName = self.myOdbDat.steps.keys()[s]
xy1 = xyPlot.XYDataFromHistory(
odb=self.myOdbDat,
outputVariableName=x,
steps=(sName, ),
)
xy1 = butterworthFilter(xyData=xy1, cutoffFrequency=0.1)
c1 = session.Curve(xyData=xy1)
self.chart.setValues(curvesToPlot=(c1, ), )
self.myVp.setValues(displayedObject=self.xyp)
chartName = self.xyp.charts.keys()[0]
self.chart = self.xyp.charts[chartName]
path_filename = '%s_Xplot_step-%s_x-%s.png' % \
(self.myOdbDat.name.replace('.odb',''), sName, x.split(':')[1].split(' ')[1])
print(path_filename)
# fname = self.myOdbDat.name.replace('.odb','')+'_Xplot_step-'+sName+'_'+x.split(':')[1].split(' ')[1]+'.png'
#session.printToFile(fileName=fname, format=PNG, canvasObjects=(self.myVp, ))
self.myVp.setValues(height=250, width=350)
try:
session.printToFile(path_filename, PNG, (self.myVp, ))
print('%s saved' % path_filename)
except:
print('failed to save %s' % path_filename)
def xyplot_history(self, s, x, y):
"""
Display curves of theoretical and computed results in a new viewport
x='Reaction force: RF1 at Node 58 in NSET SET-NODE-BOTTOM'
y='Spatial displacement: U1 at Node 574 in NSET SET-NODE-MIDDLE'
"""
sName = self.myOdbDat.steps.keys()[s]
x1 = xyPlot.XYDataFromHistory(
odb=self.myOdbDat,
outputVariableName=x,
steps=(sName, ),
)
y1 = xyPlot.XYDataFromHistory(
odb=self.myOdbDat,
outputVariableName=y,
steps=(sName, ),
)
xy1 = xyPlot.combine(x1, y1)
# xy3.setValues(sourceDescription='combine ( "XYData-strain","XYData-stress" )')
# session.xyDataObjects.changeKey(xy3.name, 'XYData-stress-strain')
c1 = session.Curve(xyData=xy1)
self.chart.setValues(curvesToPlot=(c1, ), )
self.myVp.setValues(displayedObject=self.xyp)
chartName = self.xyp.charts.keys()[0]
self.chart = self.xyp.charts[chartName]
self.chart.axes1[0].labelStyle.setValues(
font='-*-verdana-medium-r-normal-*-*-240-*-*-p-*-*-*')
self.chart.axes1[0].titleStyle.setValues(
font='-*-arial-medium-r-normal-*-*-240-*-*-p-*-*-*')
self.chart.axes2[0].titleStyle.setValues(
font='-*-arial-medium-r-normal-*-*-240-*-*-p-*-*-*')
self.chart.axes2[0].labelStyle.setValues(
font='-*-verdana-medium-r-normal-*-*-240-*-*-p-*-*-*')
#session.printOptions.setValues(vpDecorations=OFF, reduceColors=False)
path_filename = '%s_XYplot_step-%s_x-%s_y-%s.png' % \
(self.myOdbDat.name.replace('.odb',''), sName, x.split(':')[1].split(' ')[1], y.split(':')[1].split(' ')[1] )
print(path_filename)
# fname = self.myOdbDat.name.replace('.odb','')+'_XYplot_step-'+sName+'_'+x.split(':')[1].split(' ')[1]+'_'+y.split(':')[1].split(' ')[1]+'.png'
#session.printToFile(fileName=fname, format=PNG, canvasObjects=(self.myVp, ))
self.myVp.setValues(height=250, width=350)
self.simple_png_save(path_filename)
path_filename = path_filename.replace('png', 'avi')
session.animationController.setValues(animationType=TIME_HISTORY,
viewports=(self.myVp.name, ))
session.animationController.animationOptions.setValues(
xyShowSymbol=True, xySymbolSize=LARGE)
session.animationController.play(duration=UNLIMITED)
self.simple_avi_save(path_filename)
def configure_session():
"""Improve layout and colors of the current figures in visualization
"""
from abaqus import session
from abaqusConstants import (ON, OFF, SMALL, DASHED, OUTSIDE,
HOLLOW_CIRCLE, DECIMAL, INCREMENT)
plot_names = session.xyDataObjects.keys()
if not 'XYPlot-1' in session.xyPlots.keys():
xyp = session.XYPlot('XYPlot-1')
else:
xyp = session.xyPlots['XYPlot-1']
chartName = xyp.charts.keys()[0]
chart = xyp.charts[chartName]
tmp = session.xyDataObjects.keys()
if len(tmp) == 0:
return
xy1 = session.xyDataObjects[tmp[0]]
c1 = session.Curve(xyData=xy1)
chart.setValues(curvesToPlot=(c1, ), )
session.viewports['Viewport: 1'].setValues(displayedObject=xyp)
chart = session.charts['Chart-1']
chart.minorAxis1GridStyle.setValues(show=True)
chart.majorAxis1GridStyle.setValues(show=True)
chart.majorAxis1GridStyle.setValues(style=DASHED)
chart.minorAxis2GridStyle.setValues(show=True)
chart.majorAxis2GridStyle.setValues(show=True)
chart.majorAxis2GridStyle.setValues(style=DASHED)
chart.gridArea.style.setValues(fill=False)
chart.legend.setValues(show=False) # necessary to update legend values
chart.legend.setValues(show=True)
chart.legend.area.setValues(inset=True)
chart.legend.area.setValues(originOffset=(0., 0.))
chart.legend.area.style.setValues(fill=True)
chart.legend.textStyle.setValues(
font='-*-arial narrow-medium-r-normal-*-*-480-*-*-p-*-*-*')
for name in plot_names:
c = session.Curve(xyData=session.xyDataObjects[name])
chart = session.xyPlots['XYPlot-1'].charts['Chart-1']
chart.setValues(curvesToPlot=(c, ))
chart.fitCurves(fitAxes1=True, fitAxes2=True)
curve = session.charts['Chart-1'].curves[name]
curve.curveOptions.setValues(showSymbol=ON)
curve.curveOptions.setValues(symbolSize=SMALL)
curve.lineStyle.setValues(thickness=1.6)
curve.symbolStyle.setValues(size=5, marker=HOLLOW_CIRCLE)
ax = chart.axes1[0]
ay = chart.axes2[0]
ax.labelStyle.setValues(
font='-*-arial narrow-bold-r-normal-*-*-480-*-*-p-*-*-*',
color=COLOR_BLACK)
ax.titleStyle.setValues(
font='-*-arial narrow-bold-r-normal-*-*-480-*-*-p-*-*-*',
color=COLOR_BLACK)
ay.labelStyle.setValues(
font='-*-arial narrow-bold-r-normal-*-*-480-*-*-p-*-*-*',
color=COLOR_BLACK)
ay.titleStyle.setValues(
font='-*-arial narrow-bold-r-normal-*-*-480-*-*-p-*-*-*',
color=COLOR_BLACK)
ax.setValues(tickPlacement=OUTSIDE)
ax.axisData.setValues(
labelFormat=DECIMAL,
labelNumDigits=0,
minorTickCount=4,
)
ay.setValues(tickPlacement=OUTSIDE)
ay.axisData.setValues(
labelFormat=DECIMAL,
labelNumDigits=0,
)
if ax.axisData.title.find('ispl') > -1:
ax.axisData.setValues(labelNumDigits=1)
if name.find('circumference') > -1:
ax.axisData.setValues(tickMode=INCREMENT,
tickIncrement=20,
minorTickCount=0,
minAutoCompute=False,
minValue=-180,
maxAutoCompute=False,
maxValue=185)
#
if (name.find('FI_HSNFCCRT') > -1 or name.find('FI_HSNFTCRT') > -1
or name.find('FI_HSNMCCRT') > -1
or name.find('FI_HSNMTCRT') > -1
or name.find('FI_TSAIW') > -1):
ay.axisData.setValues(labelNumDigits=1,
minAutoCompute=False,
minValue=0,
maxAutoCompute=False,
maxValue=2)
curve.lineStyle.setValues(thickness=1.6, color=COLOR_WHINE)
curve.curveOptions.setValues(showSymbol=OFF)
ay.titleStyle.setValues(color=COLOR_WHINE)
ay.labelStyle.setValues(color=COLOR_WHINE)
#
if (name.find('MS_HSNFCCRT') > -1 or name.find('MS_HSNFTCRT') > -1
or name.find('MS_HSNMCCRT') > -1
or name.find('MS_HSNMTCRT') > -1 or name.find('MS_TSAIW') > -1
or name.find('MS_MAX') > -1 or name.find('MS_MIN') > -1):
ay.axisData.setValues(labelNumDigits=1,
minAutoCompute=False,
minValue=-0.5,
maxAutoCompute=False,
maxValue=1.0)
curve.lineStyle.setValues(thickness=1.6, color=COLOR_DARK_BLUE)
curve.curveOptions.setValues(showSymbol=OFF)
ay.titleStyle.setValues(color=COLOR_DARK_BLUE)
ay.labelStyle.setValues(color=COLOR_DARK_BLUE)
chartName = xyp.charts.keys()[0]
chart = xyp.charts[chartName]
chart.legend.setValues(show=False)
chart.legend.titleStyle.setValues(
font='-*-verdana-medium-r-normal-*-*-240-*-*-p-*-*-*')
chart.gridArea.style.setValues(fill=False)
xyp.title.style.setValues(font='-*-arial-medium-r-normal-*-*-240-*-*-p-*-*-*')
x = 'Strain energy: ALLSE for Whole Model'
sName = myOdb.steps.keys()[s]
xy1 = xyPlot.XYDataFromHistory(
odb=myOdb,
outputVariableName=x,
steps=(sName, ),
)
c1 = session.Curve(xyData=xy1)
chart.setValues(curvesToPlot=(c1, ), )
myViewport.setValues(displayedObject=xyp)
chartName = xyp.charts.keys()[0]
chart = xyp.charts[chartName]
path_filename = '%s_Xplot_step-%s_x-%s' % \
(myOdb.name.replace('.odb',''), sName, x.split(':')[1].split(' ')[1])
try:
myViewport.view.fitView()
session.printToFile(path_filename + '.png', PNG, (myViewport, ))
myViewport.view.fitView()
session.animationController.setValues(
animationType=TIME_HISTORY,
viewports=(myViewport.name, )) # SCALE_FACTOR TIME_HISTORY
session.animationController.play(duration=UNLIMITED)