def createDataFile(self):
runTimeObj = None
for fI in listdir(self.name):
if fI in ("forces", "forcesFS", "resistance"):
runTimeObj = fI
if not runTimeObj:
return False
else:
path = join(self.name, runTimeObj,
listdir(join(self.name, runTimeObj))[0],
'%s.dat' % (runTimeObj))
return DataFile.dataFile(path)
def main():
parser = OptionParser(
usage="usage: %prog [options] area ref.Length",
version="%prog 1.0",
description=__doc__
)
parser.add_option(
"-s", "--data-set",
action="append",
dest="dataSets",
type="string",
help="Specifies a set of cases in the current working directory,\
that are considered to be of one data set. The selection is\
done via regular expressions. Multiple data sets can be\
specified."
)
parser.add_option(
"-i", "--inlet",
action="store",
dest="inletPatch",
type="string",
default="XMAX",
help="Name of the inlet patch. (default=XMAX)"
)
parser.add_option(
"-f",
action="store",
type="choice",
choices=['1','-1','2','-2','3','-3'],
dest="direction",
default=-1,
help="Main flow direction (1=x,2=y,3=z). (default=1)"
)
parser.add_option(
"-x","--x-data",
action="store",
type="choice",
choices=['v','Fr','Re'],
dest="xDataToPlot",
default='Fr',
help="Which data to show on the x-axis. (default=Fr)"
)
parser.add_option(
"-y","--y-data",
action="store",
type="choice",
choices=['CF','CT','RF','RT'],
dest="yDataToPlot",
default='CF',
help="Which data to show on the y-axis. (default=CF)"
)
group = OptionGroup(parser,"Flag Options")
group.add_option(
"--without-ittc57",
action="store_true",
dest="withoutIttc",
help="Do not print ITTC\'57 correlation line"
)
group.add_option(
"--without-errorbars",
action="store_true",
dest="withoutErrorbars",
help="Do not print the error bars for the averaging"
)
parser.add_option_group(group)
group = OptionGroup(parser,"Statistics Options")
group.add_option(
"--with-absolute",
action="store_true",
dest="withAbsolute",
help="If specified, all statistics intervalls have to be\
defined in terms of absolute times, rather than\
relatives"
)
group.add_option(
"--average-start",
action="store",
dest="averageStart",
type="float",
default=0.5,
help="Start of the averaging interval. (default=0.5)"
)
group.add_option(
"--average-end",
action="store",
dest="averageEnd",
type="float",
default=1.0,
help="End of the averaging interval. (default=1.0)"
)
parser.add_option_group(group)
(options, args) = parser.parse_args()
if len(args) != 2:
parser.error("wrong number of arguments")
# Get the reference area and reference lengths from the command line
# parameters. U needs to be evaluated, as either a string containg "False"
# is passed or a string with a 3D list in it.
area = float(args[0])
L = float(args[1])
############################
# Variable initialisations #
############################
startAtElement = 0
dataSets = []
dataSetNames = []
thisSet = []
for sI in options.dataSets:
setPattern = compile(r"%s" %(sI.replace("_F_",Settings.floatPattern)))
for fI in listdir(getcwd()):
if findall(setPattern,fI):
thisSet.append(fI)
dataSetNames.append(thisSet)
thisSet = []
# Gather all cases
for sI in dataSetNames:
casesOfThisSet = []
for cI in sI:
casesOfThisSet.append(
Case.case(
path.join(getcwd(),cI),
archive=None,
paraviewLink=False,
inletPatch=options.inletPatch,
L=L,
A=area,
direction=options.direction
)
)
# Calculation of force coefficients has to be called explicitely, as the
# area and a reference length have to be specified. Furtheron it is not
# essential that forces are present.
casesOfThisSet[-1].calculateCoeffs()
dataSets.append(casesOfThisSet)
casesOfThisSet = []
if options.xDataToPlot == 'v':
unitX = 'm/s'
else:
unitX = '-'
if options.yDataToPlot in ('RT','RF'):
unitY = 'N'
else:
unitY = '-'
# Initialise the plot
fig = plt.figure(figsize=(11, 6))
plt.title("Comparison of resistances over velocity")
plt.grid(True)
ax1 = fig.add_subplot(111)
ax1.set_xlabel("%s [%s]" %(options.xDataToPlot,unitX))
ax1.set_ylabel("%s [%s]" %(options.yDataToPlot,unitY))
# Shink current axis by 20%
box = ax1.get_position()
ax1.set_position([box.x0, box.y0, box.width * 0.7, box.height])
plt.grid(True)
allPlots = []
dataToPlot = []
thisSetToPlot = []
Re = [1e15,0]
Fr = [1e15,0]
uInf = [1e15,0]
for sI in dataSets:
for cI in sI:
aveStart = DataFile.element(
cI.t,
options.averageStart,
options.withAbsolute
)
aveEnd = DataFile.element(
cI.t,
options.averageEnd,
options.withAbsolute
)
ave = average(cI.resistances[options.yDataToPlot][aveStart:aveEnd])
# Update velocities
Re[0] = min(Re[0],cI.Re)
Re[1] = max(Re[1],cI.Re)
Fr[0] = min(Fr[0],cI.Fr)
Fr[1] = max(Fr[1],cI.Fr)
uInf[0] = min(uInf[0],cI.uInf)
uInf[1] = max(uInf[1],cI.uInf)
tmpList = [
cI.Fr,
cI.Re,
cI.uInf,
ave,
std(cI.resistances[options.yDataToPlot][aveStart:aveEnd])
]
thisSetToPlot.append(tmpList)
dataToPlot.append(thisSetToPlot)
thisSetToPlot = []
dataToPlot = array(dataToPlot)
i = 0
for dI in dataToPlot:
# The data needs to be sorted
# http://stackoverflow.com/questions/2706605/sorting-a-2d-numpy-array-by-multiple-axes
ind=lexsort((dI[:,1],dI[:,0]))
sorted = dI[ind]
if options.xDataToPlot == 'v':
xData = sorted[:,2]
elif options.xDataToPlot == 'Fr':
xData = sorted[:,0]
else:
xData = sorted[:,1]
if not options.withoutErrorbars:
allPlots.append(
ax1.errorbar(
xData,
sorted[:,3],
sorted[:,4],
fmt='-,',
)
)
else:
allPlots.append(
ax1.plot(
xData,
sorted[:,3],
'-o',
label=options.dataSets[i]
)
)
i += 1
if not options.withoutIttc:
ittcRe = linspace(Re[0],Re[1],100)
if options.xDataToPlot == 'Fr':
xData = linspace(Fr[0],Fr[1],100)
elif options.xDataToPlot == 'v':
xData = linspace(uInf[0],uInf[1],100)
else:
xData = ittcRe
ittc = SkinFriction.ittc57(Re=ittcRe)
allPlots.append(
ax1.plot(
xData,
ittc,
'-',
color='black',
label='ITTC\'57'
)
)
# Assemble all plots for a proper legend
lines = [pI[0] for pI in allPlots]
labels = [l.get_label() for l in lines]
ax1.legend(
lines,
labels,
bbox_to_anchor=(1.02, 1),
loc=2,
#mode="expand",
#borderaxespad=0.,
ncol=1
)
plt.show()
def main():
parser = OptionParser(
usage="usage: %prog [options] area ref.Length",
version="%prog 1.0",
description=__doc__
)
parser.add_option(
"-c", "--case",
action="append",
dest="cases",
type="string",
help="Specifies multiple cases and has to be called multiple\
times to do so."
)
parser.add_option(
"-p", "--pattern",
action="store",
dest="pattern",
type="string",
help="Specifies the cases in the current working directory\
via regular expressions."
)
parser.add_option(
"-i", "--inlet",
action="store",
dest="inletPatch",
type="string",
default="XMAX",
help="Name of the inlet patch. (default=XMAX)"
)
parser.add_option(
"-s", "--start",
action="store",
dest="startAtTime",
type="float",
default=0.0,
help="Starttime of the plotting interval, spanning from that\
time to the end. (default=0.0)"
)
parser.add_option(
"-e", "--end",
action="store",
dest="endAtTime",
type="float",
default=1000000.0,
help="Endtime of the plotting interval"
)
parser.add_option(
"-f",
action="store",
type="choice",
choices=['1','-1','2','-2','3','-3'],
dest="direction",
default=-1,
help="Main flow direction (1=x,2=y,3=z). (default=1)"
)
parser.add_option(
"-d","--data",
action="store",
type="choice",
choices=['CF','CT','RF','RT'],
dest="dataToPlot",
default='CF',
help="Sets the data to be plotted. (default=CF)"
)
group = OptionGroup(parser,"Flag Options")
group.add_option(
"--without-ittc57",
action="store_true",
dest="withoutIttc",
help="Do not print ITTC\'57 correlation line"
)
group.add_option(
"--without-average",
action="store_true",
dest="withoutAverage",
help="Do not calculate the average of the data"
)
parser.add_option_group(group)
group = OptionGroup(parser,"Statistics Options")
group.add_option(
"--with-absolute",
action="store_true",
dest="withAbsolute",
help="If specified, all statistics intervalls have to be\
defined in terms of absolute times, rather than\
relatives"
)
group.add_option(
"--average-start",
action="store",
dest="averageStart",
type="float",
default=0.5,
help="Start of the averaging interval. (default=0.5)"
)
group.add_option(
"--average-end",
action="store",
dest="averageEnd",
type="float",
default=1.0,
help="End of the averaging interval. (default=1.0)"
)
group.add_option(
"--ittc-start",
action="store",
dest="ittcStart",
type="float",
default=0.5,
help="Start of the averaging interval. (default=0.5)"
)
group.add_option(
"--ittc-end",
action="store",
dest="ittcEnd",
type="float",
default=1.0,
help="End of the averaging interval. (default=1.0)"
)
parser.add_option_group(group)
(options, args) = parser.parse_args()
if len(args) != 2:
parser.error("wrong number of arguments")
# Get the reference area and reference lengths from the command line
# parameters. U needs to be evaluated, as either a string containg "False"
# is passed or a string with a 3D list in it.
area = float(args[0])
L = float(args[1])
############################
# Variable initialisations #
############################
startAtElement = 0
cases = []
longestDataSet = -1
i = 0
CTaverage = []
caseFolders = []
if options.pattern:
casePattern = compile(r"%s" %(options.pattern.replace(
"_F_",
Settings.floatPattern
)))
for fI in listdir(getcwd()):
if findall(casePattern,fI):
caseFolders.append(fI)
else:
caseFolders = options.cases
# Gather all cases
for cI in caseFolders:
cases.append(
Case.case(
path.join(getcwd(),cI),
archive=None,
paraviewLink=False,
inletPatch=options.inletPatch,
L=L,
A=area,
direction=options.direction
)
)
# Calculation of force coefficients has to be called explicitely, as the
# area and a reference length have to be specified. Furtheron it is not
# essential that forces are present.
cases[-1].calculateCoeffs()
# Figure out which data set is the longest
if len(cases[i].t) >= len(cases[longestDataSet].t):
longestDataSet = i
i += 1
# Store the length of all data sets in an extra list
dataLengths = [len(cI.t) for cI in cases]
# Initialise the plot
fig = plt.figure(figsize=(11, 6))
plt.title("Comparison of resistances")
plt.grid(True)
ax1 = fig.add_subplot(111)
ax1.set_xlabel("simulation time [s]")
ax1.set_ylabel("CF [-]")
# Shink current axis by 20%
box = ax1.get_position()
ax1.set_position([box.x0, box.y0, box.width * 0.7, box.height])
plt.grid(True)
allPlots = []
# Create a list with all Reynoldsnumbers in it. This is needed for the
# decision, whether only one or multiple ITTC lines have to be plotted
Re = []
ReNumbers = len(list(set([cI.Re for cI in cases])))
for cI in cases:
startAtElement = DataFile.element(
cI.t,
options.startAtTime,
True
)
endAtElement = DataFile.element(
cI.t,
options.endAtTime,
True
)
# The average of CF needs to be calculated anyway, as it is needed for
# the ittc deviation calculation.
aveStart = DataFile.element(
cI.t,
options.averageStart,
options.withAbsolute
)
aveEnd = DataFile.element(
cI.t,
options.averageEnd,
options.withAbsolute
)
ave = average(cI.resistances[options.dataToPlot][aveStart:aveEnd])
if not options.withoutAverage:
label = "%s (%.2e)" %(cI.shortCaseName,ave)
else:
label = cI.shortCaseName
allPlots.append(
ax1.plot(
cI.t[startAtElement:endAtElement],
cI.resistances[options.dataToPlot][startAtElement:endAtElement],
'-',
label=label
)
)
# If the ITTC line is enabled, calculate the numpy array for each
# dataset and fill the area between the respective CF curve and the ITTC
# line with the same color. Then the relative deviation between CF and
# ITTC is annotated.
if not options.withoutIttc and options.dataToPlot == 'CF':
ittcStart = DataFile.element(
cI.t[startAtElement:endAtElement],
options.ittcStart,
options.withAbsolute
)
ittcEnd = DataFile.element(
#cI.t,
cI.t[startAtElement:endAtElement],
options.ittcEnd,
options.withAbsolute
)
ittc57 = ones(len(cI.t))*SkinFriction.ittc57(Re=cI.Re)
ax1.fill_between(
cI.t[ittcStart:ittcEnd],
cI.resistances[options.dataToPlot][ittcStart:ittcEnd],
ittc57[ittcStart:ittcEnd],
color=allPlots[-1][0].get_color(),
alpha=0.5
)
if not cI.Re in Re and ReNumbers > 1:
label='ITTC\'57 (%.2e)' %(ittc57[0])
allPlots.append(
ax1.plot(
cases[longestDataSet].t[startAtElement:endAtElement],
ittc57[startAtElement:endAtElement],
'--',
color=allPlots[-1][0].get_color(),
label=label
)
)
# Compute the deviation of the current CF from the ITTC line and
# create a label inside the plot, that shows the relative deviation
# as a numerical value.
deviationList = cI.resistances[options.dataToPlot]*100.0/ittc57 - 100
centerX = cI.t[int(ittcStart + (ittcEnd-ittcStart)/2)]
centerY = min(ave,ittc57[0]) + (max(ave,ittc57[0])-min(ave,ittc57[0]))/2
plt.text(
centerX,
centerY,
'%.2f%%' %average(deviationList[ittcStart:ittcEnd])
)
# Finally append the current Reynoldsnumber to the global list of
# Reynoldsnumbers.
Re.append(cI.Re)
if not options.withoutIttc and options.dataToPlot == 'CF':
ittc57 = ones(dataLengths[longestDataSet])*\
SkinFriction.ittc57(Re=cases[-1].Re)
startAtElement = DataFile.element(
cases[longestDataSet].t,
options.startAtTime,
True
)
endAtElement = DataFile.element(
cases[longestDataSet].t,
options.endAtTime,
True
)
if not options.withoutIttc and ReNumbers == 1:
label='ITTC\'57 (%.2e)' %(ittc57[0])
allPlots.append(
ax1.plot(
cases[longestDataSet].t[startAtElement:endAtElement],
ittc57[startAtElement:endAtElement],
'--',
color='black',
label=label
)
)
# Assemble all plots for a proper legend
lines = [pI[0] for pI in allPlots]
labels = [l.get_label() for l in lines]
ax1.legend(
lines,
labels,
bbox_to_anchor=(1.02, 1),
loc=2,
#mode="expand",
#borderaxespad=0.,
ncol=1
)
plt.show()
def main():
parser = OptionParser(usage="usage: %prog [options] area ref.Length",
version="%prog 1.0",
description=__doc__)
parser.add_option(
"-s",
"--data-set",
action="append",
dest="dataSets",
type="string",
help="Specifies a set of cases in the current working directory,\
that are considered to be of one data set. The selection is\
done via regular expressions. Multiple data sets can be\
specified.")
parser.add_option("-i",
"--inlet",
action="store",
dest="inletPatch",
type="string",
default="XMAX",
help="Name of the inlet patch. (default=XMAX)")
parser.add_option("-f",
action="store",
type="choice",
choices=['1', '-1', '2', '-2', '3', '-3'],
dest="direction",
default=-1,
help="Main flow direction (1=x,2=y,3=z). (default=1)")
parser.add_option("-x",
"--x-data",
action="store",
type="choice",
choices=['v', 'Fr', 'Re'],
dest="xDataToPlot",
default='Fr',
help="Which data to show on the x-axis. (default=Fr)")
parser.add_option("-y",
"--y-data",
action="store",
type="choice",
choices=['CF', 'CT', 'RF', 'RT'],
dest="yDataToPlot",
default='CF',
help="Which data to show on the y-axis. (default=CF)")
group = OptionGroup(parser, "Flag Options")
group.add_option("--without-ittc57",
action="store_true",
dest="withoutIttc",
help="Do not print ITTC\'57 correlation line")
group.add_option("--without-errorbars",
action="store_true",
dest="withoutErrorbars",
help="Do not print the error bars for the averaging")
parser.add_option_group(group)
group = OptionGroup(parser, "Statistics Options")
group.add_option("--with-absolute",
action="store_true",
dest="withAbsolute",
help="If specified, all statistics intervalls have to be\
defined in terms of absolute times, rather than\
relatives")
group.add_option("--average-start",
action="store",
dest="averageStart",
type="float",
default=0.5,
help="Start of the averaging interval. (default=0.5)")
group.add_option("--average-end",
action="store",
dest="averageEnd",
type="float",
default=1.0,
help="End of the averaging interval. (default=1.0)")
parser.add_option_group(group)
(options, args) = parser.parse_args()
if len(args) != 2:
parser.error("wrong number of arguments")
# Get the reference area and reference lengths from the command line
# parameters. U needs to be evaluated, as either a string containg "False"
# is passed or a string with a 3D list in it.
area = float(args[0])
L = float(args[1])
############################
# Variable initialisations #
############################
startAtElement = 0
dataSets = []
dataSetNames = []
thisSet = []
for sI in options.dataSets:
setPattern = compile(r"%s" %
(sI.replace("_F_", Settings.floatPattern)))
for fI in listdir(getcwd()):
if findall(setPattern, fI):
thisSet.append(fI)
dataSetNames.append(thisSet)
thisSet = []
# Gather all cases
for sI in dataSetNames:
casesOfThisSet = []
for cI in sI:
casesOfThisSet.append(
Case.case(path.join(getcwd(), cI),
archive=None,
paraviewLink=False,
inletPatch=options.inletPatch,
L=L,
A=area,
direction=options.direction))
# Calculation of force coefficients has to be called explicitely, as the
# area and a reference length have to be specified. Furtheron it is not
# essential that forces are present.
casesOfThisSet[-1].calculateCoeffs()
dataSets.append(casesOfThisSet)
casesOfThisSet = []
if options.xDataToPlot == 'v':
unitX = 'm/s'
else:
unitX = '-'
if options.yDataToPlot in ('RT', 'RF'):
unitY = 'N'
else:
unitY = '-'
# Initialise the plot
fig = plt.figure(figsize=(11, 6))
plt.title("Comparison of resistances over velocity")
plt.grid(True)
ax1 = fig.add_subplot(111)
ax1.set_xlabel("%s [%s]" % (options.xDataToPlot, unitX))
ax1.set_ylabel("%s [%s]" % (options.yDataToPlot, unitY))
# Shink current axis by 20%
box = ax1.get_position()
ax1.set_position([box.x0, box.y0, box.width * 0.7, box.height])
plt.grid(True)
allPlots = []
dataToPlot = []
thisSetToPlot = []
Re = [1e15, 0]
Fr = [1e15, 0]
uInf = [1e15, 0]
for sI in dataSets:
for cI in sI:
aveStart = DataFile.element(cI.t, options.averageStart,
options.withAbsolute)
aveEnd = DataFile.element(cI.t, options.averageEnd,
options.withAbsolute)
ave = average(cI.resistances[options.yDataToPlot][aveStart:aveEnd])
# Update velocities
Re[0] = min(Re[0], cI.Re)
Re[1] = max(Re[1], cI.Re)
Fr[0] = min(Fr[0], cI.Fr)
Fr[1] = max(Fr[1], cI.Fr)
uInf[0] = min(uInf[0], cI.uInf)
uInf[1] = max(uInf[1], cI.uInf)
tmpList = [
cI.Fr, cI.Re, cI.uInf, ave,
std(cI.resistances[options.yDataToPlot][aveStart:aveEnd])
]
thisSetToPlot.append(tmpList)
dataToPlot.append(thisSetToPlot)
thisSetToPlot = []
dataToPlot = array(dataToPlot)
i = 0
for dI in dataToPlot:
# The data needs to be sorted
# http://stackoverflow.com/questions/2706605/sorting-a-2d-numpy-array-by-multiple-axes
ind = lexsort((dI[:, 1], dI[:, 0]))
sorted = dI[ind]
if options.xDataToPlot == 'v':
xData = sorted[:, 2]
elif options.xDataToPlot == 'Fr':
xData = sorted[:, 0]
else:
xData = sorted[:, 1]
if not options.withoutErrorbars:
allPlots.append(
ax1.errorbar(
xData,
sorted[:, 3],
sorted[:, 4],
fmt='-,',
))
else:
allPlots.append(
ax1.plot(xData, sorted[:, 3], '-o', label=options.dataSets[i]))
i += 1
if not options.withoutIttc:
ittcRe = linspace(Re[0], Re[1], 100)
if options.xDataToPlot == 'Fr':
xData = linspace(Fr[0], Fr[1], 100)
elif options.xDataToPlot == 'v':
xData = linspace(uInf[0], uInf[1], 100)
else:
xData = ittcRe
ittc = SkinFriction.ittc57(Re=ittcRe)
allPlots.append(
ax1.plot(xData, ittc, '-', color='black', label='ITTC\'57'))
# Assemble all plots for a proper legend
lines = [pI[0] for pI in allPlots]
labels = [l.get_label() for l in lines]
ax1.legend(
lines,
labels,
bbox_to_anchor=(1.02, 1),
loc=2,
#mode="expand",
#borderaxespad=0.,
ncol=1)
plt.show()
