if binPr==0.0:
a2cltmp = ma.masked_where(a2ra>binPr, a2cl)
else:
a2cltmp = ma.masked_where(a2ra>=binPr, a2cl)
for cltype in lcltype:
clid = dclid[cltype]
a2tmp = ma.masked_where(a2cltmp !=clid, a2pr)
da3sum[binPr][cltype] = da3sum[binPr][cltype] + a2tmp.filled(0.0)
da3num[binPr][cltype] = da3num[binPr][cltype] + ma.masked_where(a2tmp.mask, a2oneint).filled(0)
# Save Monthly output
#baseDir = "/tank/utsumi/PMM/WNP.261x265"
baseDir = "/home/utsumi/mnt/well.share/PMM/WNP.261x265"
oDir = baseDir + "/ByRA.CL.Pr.%s"%(dattype)
util.mk_dir(oDir)
# Bin file
binPath = oDir + "/CloudType.txt"
sout = "\n".join(["%d:%d"%(cltype, dclid[cltype]) for cltype in lcltype]).strip()
f=open(binPath,"w"); f.write(sout); f.close()
for binPr in lbinPr:
sumPath = oDir + "/sum.P%05.1f.%04d.%02d.%dx%dx%d"%(binPr, Year,Mon, ncltype,ny,nx)
numPath = oDir + "/num.P%05.1f.%04d.%02d.%dx%dx%d"%(binPr, Year,Mon, ncltype,ny,nx)
da3sum[binPr].tofile(sumPath)
da3num[binPr].tofile(numPath)
print sumPath
plt.loglog(agvTmp, aesurfTmp, 'o')
plt.ylim([0.01,100])
plt.xlim([0.01,100])
plt.savefig(figPath)
print figPath
plt.clf()
#--- save data ----
for prtype in lprtype:
if calc != True:
continue
outDir = '/home/utsumi/mnt/wellshare/GPMGV/dt-eSurf-%s/dist.%.1fkm.ndom.%02d.%04d.%02d-%04d.%02d'%(prdName, thdist, len(ldomain), iYM[0], iYM[1], eYM[0], eYM[1])
util.mk_dir(outDir)
for dattype in ldattype:
datPath= outDir + '/dt-eSurf.%s.%s.%s.npy'%(prdName, dattype, prtype)
if dattype=='cc':
a1dat = da1cc[prtype]
elif dattype=='rmse':
a1dat = da1rmse[prtype]
elif dattype=='bias':
a1dat = da1bias[prtype]
elif dattype=='brat':
a1dat = da1brat[prtype]
elif dattype=='num':
a1dat = da1num[prtype]
elif dattype=='rain':
dpr[lndsea,icl].extend(a2prtmp.compressed())
dku[lndsea,icl].extend(a2kutmp.compressed())
#-- Save ---------
lkeys = [[lndsea,icl] for lndsea in llndsea
for icl in lcltype]
for [lndsea,icl] in lkeys:
#baseDir = "/home/utsumi/mnt/wellshare/PMM/WNP.261x265"
baseDir = ibaseDir
sDir = baseDir + "/VsKuPR.CL.%s/%04d"%(dattype,Year)
prPath = sDir + "/%s.%04d.%02d.%s.%s.bn"%(dattype,Year,Mon,lndsea, dclShortName[icl])
kuPath = sDir + "/KuPR.%04d.%02d.%s.%s.bn"%(Year,Mon,lndsea, dclShortName[icl])
util.mk_dir(sDir)
array(dpr[lndsea,icl], float32).tofile(prPath)
array(dku[lndsea,icl], float32).tofile(kuPath)
print prPath
# Combine lnd, sea, cst
for icl in lcltype:
baseDir = ibaseDir
sDir = baseDir + "/VsKuPR.CL.%s/%04d"%(dattype,Year)
lstype = [dattype, "KuPR"]
for stype in lstype:
lndPath = sDir + "/%s.%04d.%02d.%s.%s.bn"%(stype,Year,Mon,"lnd", dclShortName[icl])
seaPath = sDir + "/%s.%04d.%02d.%s.%s.bn"%(stype,Year,Mon,"sea", dclShortName[icl])
urlon = float( Decimal(lon1).quantize(Decimal('0.01'), rounding=ROUND_HALF_UP) )
a1lat_map = arange(lllat,urlat+res*0.1, res)
a1lon_map = arange(lllon,urlon+res*0.1, res)
for YM in lYM:
Year = YM[0]
Mon = YM[1]
if (domain,Year,Mon) not in dgName.keys():
print 'no obs',domain,Year,Mon
continue
#-- distance from nearest gauge -
a2mindist = ret_a2mindist(domain, Year, Mon)
gvmapDir = gvmapbaseDir + '/%s/%04d%02d'%(domain,Year,Mon)
util.mk_dir(gvmapDir)
distPath = gvmapDir + '/map.mindist.%s.%04d%02d.npy'%(domain,Year,Mon)
np.save(distPath, a2mindist)
print 'make minimum distance file'
print distPath
#-- check satellite overpass time
sateDir = satebaseDir + '/%s/%04d%02d'%(domain, Year, Mon)
if not os.path.exists(sateDir):
print 'No directory', sateDir
continue
ssearch = sateDir + '/prcp.*.npy'
lsatePath = glob.glob(ssearch)
lsatePath = sorted(lsatePath)
#simbaseDir = '/home/utsumi/work/temp/outflw'
#loclistDir = '/home/utsumi/work/temp/global_15min'
#loclistPath = loclistDir + '/grdc_loc.txt'
#outDir = '/home/utsumi/work/temp/timeseries'
#figDir = '/home/utsumi/work/temp/fig'
grdcDir = '/work/data2/GRDC/dat_day'
simbaseDir = '/work/hk01/utsumi/PMM/hydro/outflw.trip'
#loclistPath = '/work/hk01/utsumi/PMM/hydro/list/grdc_loc_rev_1998_2009.txt'
outDir = '/work/hk01/utsumi/PMM/hydro/timeseries.trip'
figDir = '/work/hk01/utsumi/PMM/hydro/fig'
util.mk_dir(outDir)
util.mk_dir(figDir)
#*** Functions *********************
def load_sim(prcp, stnid, iYear, eYear):
nYear = eYear - iYear + 1
lYear = range(iYear,eYear+1)
a1out = deque([])
for Year in lYear:
simDir = simbaseDir + '/%s/%04d'%(prcp, Year)
srcPath = simDir + '/flwout.%07d.npy'%(stnid)
a1tmp = np.load(srcPath)
a1out.extend(a1tmp)
return array(a1out)
def get_timerange_grdc(srcPath):
return [s.strip() for s in lines]
#******************************
ltag = ret_ltag(ntag)
for Year,Mon in lYM:
eDay = calendar.monthrange(Year,Mon)[1]
iDTime = datetime(Year,Mon,1,0)
eDTime = datetime(Year,Mon,eDay,23)
dDTime = timedelta(hours=24)
lDTime = util.ret_lDTime(iDTime, eDTime, dDTime)
a3tagprcp = zeros([ntag, ny, nx], float32)
for DTime in lDTime:
print DTime
a2prcp = load_Prcp(DTime, PRJ)
frcPath = CH08.path_TagH08(DTime, model="JRA55", wnflag="nn", nclass=ntag, res="one", tstep="day")[1]
a3frc = fromfile(frcPath, float32).reshape(ntag, ny, nx)
for i in range(ntag):
a3tagprcp[i] = a3tagprcp[i] + a2prcp * a3frc[i]
a3tagprcp = a3tagprcp / len(lDTime) # average
#-- save -----
rootDir, srcDir, srcPath = h08.ret_pathTagVarMon(var="PRCP", ntag=ntag, Year=Year, Mon=Mon)
util.mk_dir(srcDir)
a3tagprcp.tofile(srcPath)
print srcPath
grdc = GRDC.GRDC()
iYear = 2000
eYear = 2009
lprcp =['GPCC','GPCC','GPCC']
lmetName=['CC','NSE','RBias']
#calc = True
calc = False
grdcDir = '/work/data2/GRDC/dat_day'
simbaseDir = '/work/hk01/utsumi/PMM/hydro/outflw.trip'
outDir = '/work/hk01/utsumi/PMM/hydro/metric.trip'
csvDir = '/work/hk01/utsumi/PMM/hydro' + '/csv.trip'
util.mk_dir(outDir)
util.mk_dir(csvDir)
#*** Functions *********************
def load_sim(prcp, stnid, iYear, eYear):
nYear = eYear - iYear + 1
lYear = range(iYear,eYear+1)
a1out = deque([])
for Year in lYear:
simDir = simbaseDir + '/%s/%04d'%(prcp, Year)
srcPath = simDir + '/flwout.%07d.npy'%(stnid)
a1tmp = np.load(srcPath)
a1out.extend(a1tmp)
return array(a1out)
def get_timerange_grdc(srcPath):
f=open(srcPath,'r'); lines=f.readlines(); f.close()
a2ave1 = ma.masked_where(a2num==0.0, a2sum1)/a2num
a2ave2 = ma.masked_where(a2num==0.0, a2sum2)/a2num
#****** Figure ***************
figplot = plt.figure(figsize=(5,5))
axplot = figplot.add_axes([0.13, 0.13, 0.77, 0.77])
axplot.plot( a2ave1, a2ave2, "o", color="k", markersize=2)
#-- axis -----
axmax = 15.
axplot.set_xlim(0.0, axmax)
axplot.set_ylim(0.0, axmax)
#-- axis label --
axplot.set_xlabel("%s [mm/hour]"%(prtype1), fontsize=18)
axplot.set_ylabel("%s [mm/hour]"%(prtype2), fontsize=18)
#-- title -------
Corr = corrcoef(a2ave1.flatten(), a2ave2.flatten())[0][1]
stitle = "X=%s Y=%s tag:%s"%(prtype1, prtype2,tag)
stitle = stitle + "\n%04d-%04d M%02d-%02d R=%5.2f"%(iYear,eYear, lMon[0], lMon[-1], Corr)
axplot.set_title(stitle, fontsize=15)
#-- save -------
figDir = baseDir + "/pict"
figPath = figDir + "/scatter.%04d-%04d.M%02d-%02d.%s.png"%(iYear,eYear,lMon[0],lMon[-1],tag)
util.mk_dir(figDir)
plt.savefig(figPath)
print figPath
continue
nl, nw = gpmobt.data.shape
a2sum, a2num = pmm_fsub.obt2wnpac261x265(gpmobt.data.T, gpmobt.lon.T, gpmobt.lat.T, nw, nl)
a2sum = a2sum.T
a2num = a2num.T
a2pr = ma.masked_invalid(a2sum/a2num)
#a2pr = a2pr / (60.*60.) # mm/h --> mm/s
a2pr = a2pr.filled(miss_out)
#--- save ---------
Year = DTime.year
Mon = DTime.month
Day = DTime.day
Hour = DTime.hour
Minute = DTime.minute
baseDir = "/tank/utsumi/PMM/WNP.261x265/%s/%s/%s"%(prj,prdLv,prdVer)
dataDir = baseDir + "/%04d/%02d"%(Year,Mon)
dataPath= dataDir + "/pr.%02d.%02d.%02d.%dx%d"%(Day,Hour,Minute,ny,nx)
util.mk_dir(dataDir)
a2pr.astype(float32).tofile(dataPath)
print "OUTPUT"
print dataPath
asx = zeros([nh,nt])
asy = zeros([nh,nt])
asxx= zeros([nh,nt])
asyy= zeros([nh,nt])
asxy= zeros([nh,nt])
anum= zeros([nh,nt])
for domain in ldomain:
for YM in lYM:
Year, Mon = YM
if (domain,Year,Mon) not in dgName.keys():
print 'no obs',domain,Year,Mon
continue
datDir = '/home/utsumi/mnt/wellshare/GPMGV/dt-lev-PR/%s'%(domain)
util.mk_dir(datDir)
satePath = datDir + '/ssate.%04d%02d.%s.npy'%(Year,Mon,prtype)
sate2Path = datDir + '/ssate2.%04d%02d.%s.npy'%(Year,Mon,prtype)
gvPath = datDir + '/sgv.%04d%02d.%s.npy'%(Year,Mon,prtype)
gv2Path = datDir + '/sgv2.%04d%02d.%s.npy'%(Year,Mon,prtype)
sategvPath = datDir + '/sategv.%04d%02d.%s.npy'%(Year,Mon,prtype)
numPath = datDir + '/num.%04d%02d.%s.npy'%(Year,Mon,prtype)
asxTmp = np.load(gvPath )
asxxTmp = np.load(gv2Path )
asyTmp = np.load(satePath )
asyyTmp = np.load(sate2Path )
asxyTmp = np.load(sategvPath)
anumTmp = np.load(numPath )
def mk_Fig(lMid, dY, lndsea, icltype, figtype="pdf"):
figplot = plt.figure(figsize=(4.1, 3.2))
axplot = figplot.add_axes([0.15, 0.10, 0.79,0.8])
# Colors
#colors = plt.matplotlib.cm.jet(linspace(0,1,len(ldattype)))
colors= {"KuPR":"k"
,"GMI" :"0.2"
,"IMERG":"dodgerblue"
,"IMERG.MW":"royalblue"
,"IMERG.IR":"limegreen"
,"GSMaP":"red"
,"GSMaP.MW":"magenta"
,"GSMaP.IR":"darkorange"
}
# Line style
#linestyle=["--" if dattype in ["KuPR","GMI"] else "-"
# for dattype in ldattype]
linestyle= {"KuPR":"--"
,"GMI" :":"
,"IMERG":"-"
,"IMERG.MW":"-"
,"IMERG.IR":"-"
,"GSMaP":"-"
,"GSMaP.MW":"-"
,"GSMaP.IR":"-"
}
# Line width
# linewidth = [0 if dattype in ["GSMaP.IR","GSMaP.MW"] else 4
# for dattype in ldattype]
linewidth = [2 if dattype in ["GSMaP.IR","GSMaP.MW"] else 2
for dattype in ldattype]
# Plot
lines =[axplot.plot(lMid, dY[dattype,lndsea,icltype]
,linewidth=linewidth[idattype], c=colors[dattype]
,linestyle=linestyle[dattype])
for idattype, dattype in enumerate(ldattype)]
# Axis
if clVer == "JMA1":
if figtype=="pdf":
if icltype ==1:
axplot.set_ylim(0.0, 0.3)
axplot.set_xlim(0.0, 20.0)
elif icltype ==7:
axplot.set_ylim(0.0, 0.05)
axplot.set_xlim(0.0, 20.0)
else:
axplot.set_ylim(0.0, 0.05)
axplot.set_xlim(0.0, 6.0)
elif figtype=="cnt":
if icltype ==1:
axplot.set_xlim(0.0, 20.0)
elif icltype ==7:
axplot.set_xlim(0.0, 20.0)
else:
axplot.set_xlim(0.0, 6.0)
elif figtype =="Weak.pdf":
axplot.set_xlim(0.0, 3.0)
elif figtype =="Heavy.pdf":
if icltype==1:
axplot.set_ylim(0.0, 0.05)
else:
axplot.set_ylim(0.0, 1e-3)
axplot.set_xlim(10, lbinPr[-2])
elif figtype =="log.Weak.pdf":
plt.yscale("log")
if icltype==1:
axplot.set_ylim(1.e-3, 1.e+0)
axplot.set_xlim(0.0, 3.0)
else:
axplot.set_ylim(1.e-6, 1.e+1)
axplot.set_xlim(0.0, 3.0)
elif figtype =="log.Heavy.pdf":
plt.yscale("log")
if icltype==1:
axplot.set_ylim(1.e-5, 1.e-1)
else:
axplot.set_ylim(1.e-8, 1.e-3)
axplot.set_xlim(10.0, lbinPr[-2])
elif clVer[:5] == "MyWNP":
if figtype=="pdf":
xtick = arange(0, 20+0.01, 5)
sxtick= ["%d"%(x) for x in xtick]
ytick = arange(0, 0.3+0.01, 0.05)
elif figtype == "pdf.focus":
xtick = arange(0, 6.0+0.001, 1.0)
sxtick = None
ytick = arange(0, 0.05+0.001, 0.01)
elif figtype=="cnt":
xtick = arange(0.0, 20.0+0.01, 5)
sxtick = None
ytick = None
elif figtype=="cnt.focus":
xtick = arange(0.0, 6.0+0.01, 1.0)
sxtick = None
ytick = None
elif figtype =="Weak.pdf":
xtick = arange(0, 3+0.01, 0.5)
sxtick = None
elif figtype =="Heavy.pdf":
if icltype in [1,2]:
xtick = arange(0, 0.05+0.001, 0.01)
sxtick = None
else:
ytick = [0, 1e-5, 1e-4, 1e-3]
axplot.set_xlim(10, lbinPr[-2])
xtick = arange(10, lbinPr[-2]+1, 10)
sxtick = None
elif figtype =="log.Weak.pdf":
plt.yscale("log")
if icltype in [1,2]:
ytick = [1.e-3, 1.e-2, 1.e-1, 1.e+0]
xtick = arange(0, 3+0.01, 0.5)
sxtick = None
else:
ytick = [1.e-6, 1.e-5, 1.e-4, 1.e-3, 1.e-2, 1.e-1, 1.e+0, 1.e+1]
xtick = arange(0, 3+0.01, 0.5)
sxtick = None
elif figtype =="log.Heavy.pdf":
plt.yscale("log")
if icltype in [1,2]:
ytick = [1.e-5, 1.e-4, 1.e-3, 1.e-2, 1.e-1]
else:
axplot.set_ylim(1.e-8, 1.e-3)
ytick = [1.e-8, 1.e-7, 1.e-6, 1.e-5, 1.e-4, 1.e-3]
xtick = arange(10, lbinPr[-2]+1, 10)
sxtick = None
else:
print "check figtype", figtype
sys.exit()
# Axis-tick labels
if xtick !=None:
axplot.set_xlim([xtick[0],xtick[-1]])
if sxtick !=None:
plt.xticks( xtick, sxtick)
else:
plt.xticks( xtick, xtick)
if ytick !=None:
axplot.set_ylim([ytick[0],ytick[-1]])
plt.yticks( ytick, ytick)
for tick in axplot.xaxis.get_major_ticks():
tick.label.set_fontsize(19)
for tick in axplot.yaxis.get_major_ticks():
tick.label.set_fontsize(16)
# Add title
stitle = "%s %04d/%02d-%04d/%02d CL=%s"\
%(lndsea,iYM[0],iYM[1],eYM[0],eYM[1],dclName[icltype])
if expr=="old":
stitle = stitle + " old"
elif expr=="sht":
stitle = stitle + " sht"
if dommask !=None:
stitle = stitle + " %sdom"%(dommask)
plt.title(stitle, fontsize=10)
# Save figure
if expr =="std":
sDir = ibaseDir + "/pict"
elif expr=="old":
sDir = ibaseDir + "/pict.old"
elif expr=="sht":
sDir = ibaseDir + "/pict.sht"
util.mk_dir(sDir)
if dommask==None:
sPath = sDir + "/%s.%s.%s.png"%(figtype, lndsea, dclShortName[icltype])
else:
sPath = sDir + "/%sdom.%s.%s.%s.png"%(dommask, figtype, lndsea, dclShortName[icltype])
plt.savefig(sPath)
print sPath
plt.close()
# Legend file
legPath = sDir + "/legend.pdfs.png"
figleg = plt.figure(figsize=(3,3))
lines = [line[0] for line in lines] # 2D list to 1D list
figleg.legend(lines, ret_ldatname(ldattype), fontsize=15)
figleg.savefig(legPath)
plt.close()
BBox = ra.BBox
LatOrg = ra.Lat
LonOrg = ra.Lon
LatUp = arange(BBox[0][0]+resUp/2,
BBox[1][0]+resUp/10,
resUp, dtype='float64')
LonUp = arange(BBox[0][1]+resUp/2,
BBox[1][1]+resUp/10,
resUp, dtype='float64')
nyUp, nxUp = len(LatUp), len(LonUp)
baseDir = "/tank/utsumi/data/RadarAMeDAS/ra_%s"%(resUp)
#--- save meta data -----------
util.mk_dir(baseDir)
sLat = util.array2csv(LatUp)
sname= baseDir+"/lat.csv"
f=open(sname,"w");f.write(sLat); f.close()
sLon = util.array2csv(LonUp)
sname= baseDir+"/lon.csv"
f=open(sname,"w");f.write(sLon); f.close()
print sname
#------------------------------
def ret_oPath(DTime, resUp):
Year, Mon, Day, Hour, Min =\
DTime.year, DTime.month, DTime.day, DTime.hour, DTime.minute
oDir = os.path.join(baseDir, "%04d%02d"%(Year,Mon))
oPath = os.path.join(oDir, "RadarAmedas.%04d%02d%02d%02d%02d00.%dx%d"%(Year,Mon,Day,Hour,Min,nyUp, nxUp))
def mk_Fig(lMid, dY, icltype, figtype="pdf"):
figplot = plt.figure(figsize=(4.1, 3.2))
axplot = figplot.add_axes([0.14, 0.10, 0.82,0.8])
# Colors
colors = plt.matplotlib.cm.jet(linspace(0,1,len(ldattype)))
# Line style
linestyle=["--" if dattype in ["KuPR","GMI"] else "-"
for dattype in ldattype]
# Line width
# linewidth = [0 if dattype in ["GSMaP.IR","GSMaP.MW"] else 4
# for dattype in ldattype]
linewidth = [2 if dattype in ["GSMaP.IR","GSMaP.MW"] else 2
for dattype in ldattype]
# Plot
lines =[axplot.plot(lMid, dY[dattype,icltype]
,linewidth=linewidth[idattype], c=colors[idattype]
,linestyle=linestyle[idattype])
for idattype, dattype in enumerate(ldattype)]
# Axis
if clVer == "JMA1":
if figtype=="pdf":
if icltype ==1:
axplot.set_ylim(0.0, 0.3)
axplot.set_xlim(0.0, 20.0)
elif icltype ==7:
axplot.set_ylim(0.0, 0.05)
axplot.set_xlim(0.0, 20.0)
else:
axplot.set_ylim(0.0, 0.05)
axplot.set_xlim(0.0, 6.0)
elif figtype=="cnt":
if icltype ==1:
axplot.set_xlim(0.0, 20.0)
elif icltype ==7:
axplot.set_xlim(0.0, 20.0)
else:
axplot.set_xlim(0.0, 6.0)
elif figtype =="Weak.pdf":
axplot.set_xlim(0.0, 3.0)
elif figtype =="Heavy.pdf":
if icltype==1:
axplot.set_ylim(0.0, 0.05)
else:
axplot.set_ylim(0.0, 1e-3)
axplot.set_xlim(10, lbinPr[-2])
elif figtype =="log.Weak.pdf":
plt.yscale("log")
if icltype==1:
axplot.set_ylim(1.e-3, 1.e+0)
axplot.set_xlim(0.0, 3.0)
else:
axplot.set_ylim(1.e-6, 1.e+1)
axplot.set_xlim(0.0, 3.0)
elif figtype =="log.Heavy.pdf":
plt.yscale("log")
if icltype==1:
axplot.set_ylim(1.e-5, 1.e-1)
else:
axplot.set_ylim(1.e-8, 1.e-3)
axplot.set_xlim(10.0, lbinPr[-2])
elif clVer[:5] == "MyWNP":
if figtype=="pdf":
axplot.set_ylim(0.0, 0.3)
axplot.set_xlim(0.0, 20.0)
elif figtype == "pdf.focus":
axplot.set_ylim(0.0, 0.05)
axplot.set_xlim(0.0, 6.0)
elif figtype=="cnt":
axplot.set_xlim(0.0, 20.0)
elif figtype=="cnt.focus":
axplot.set_xlim(0.0, 6.0)
elif figtype =="Weak.pdf":
axplot.set_xlim(0.0, 3.0)
elif figtype =="Heavy.pdf":
if icltype in [1,2]:
axplot.set_ylim(0.0, 0.05)
else:
axplot.set_ylim(0.0, 1e-3)
axplot.set_xlim(10, lbinPr[-2])
elif figtype =="log.Weak.pdf":
plt.yscale("log")
if icltype in [1,2]:
axplot.set_ylim(1.e-3, 1.e+0)
axplot.set_xlim(0.0, 3.0)
else:
axplot.set_ylim(1.e-6, 1.e+1)
axplot.set_xlim(0.0, 3.0)
elif figtype =="log.Heavy.pdf":
plt.yscale("log")
if icltype in [1,2]:
axplot.set_ylim(1.e-5, 1.e-1)
else:
axplot.set_ylim(1.e-8, 1.e-3)
axplot.set_xlim(10.0, lbinPr[-2])
else:
print "check figtype", figtype
sys.exit()
# Axis-tick labels
for tick in axplot.xaxis.get_major_ticks():
tick.label.set_fontsize(20)
for tick in axplot.yaxis.get_major_ticks():
tick.label.set_fontsize(17)
# Add title
stitle = "%04d/%02d-%04d/%02d CL=%s"\
%(iYM[0],iYM[1],eYM[0],eYM[1],dclName[icltype])
if dommask !=None:
stitle = stitle + " %sdom"%(dommask)
plt.title(stitle, fontsize=10)
# Save figure
#sDir = "/tank/utsumi/PMM/WNP.261x265/pict"
#sDir = "/home/utsumi/mnt/well.share/PMM/WNP.261x265/pict"
#sDir = "/home/utsumi/mnt/well.share/PMM/WNP.261x265/pict.MyCL"
sDir = ibaseDir + "/pict"
util.mk_dir(sDir)
if dommask==None:
sPath = sDir + "/%s.%s.png"%(figtype, dclShortName[icltype])
else:
sPath = sDir + "/%sdom.%s.%s.png"%(dommask, figtype, dclShortName[icltype])
plt.savefig(sPath)
print sPath
plt.close()
# Legend file
legPath = sDir + "/legend.pdfs.png"
figleg = plt.figure(figsize=(2,3))
lines = [line[0] for line in lines] # 2D list to 1D list
figleg.legend(lines, ldattype)
figleg.savefig(legPath)
plt.close()