def makeCompositePlotOfZoomedInImages(koiAndFilterList):
fig=pylab.figure(0,figsize=(5,10))
nkoi = len(koiAndFilterList)
ncols = 1
if (nkoi % ncols) == 0:
nrows = nkoi/ncols
else:
nrows = nkoi / ncols +1
print nrows, len(koiAndFilterList)
for ii,kkff in enumerate(koiAndFilterList):
koi = kkff[0]
filt = kkff[1]
myKoi = koiPlusFilter.koiPlusFilter(koi,filt)
print ii, koi, filt
if os.path.isfile(ao.koiFilterDir(koi,filt,instrUsed)+ao.finalKOIimageFile(koi,filt,instrUsed)):
# pylab.subplot(nrows,ncols,ii+1)
finderPlots.zoomedInSubPlot(myKoi,nrows,ncols,ii+1)
# os.system("./finderPlots.py "+koi+" Ks "+str(nrows)+" "+str(ncols)+" "+str(ii+1))
pylab.title(koi)
# Finish and export
pylab.subplots_adjust(wspace=0.1,hspace=0.1)
binaryOutfile = ao.plotDir+"combined.pdf"
pylab.savefig(binaryOutfile)
pylab.close()
def makeCompositePlotOfZoomedInImages(filt): fig=pylab.figure(0,figsize=(12,6)) nkoi = len(koiForCompositePlot[filt]) ncols = 6 if (nkoi % ncols) == 0: nrows = nkoi/ncols else: nrows = nkoi / ncols +1 print nrows, len(koiForCompositePlot[filt]) for ii,koi in enumerate(koiForCompositePlot[filt]): myKoi = koiPlusFilter.koiPlusFilter(koi,filt,instrUsed) print ii, koi, filt if os.path.isfile(ao.objectsDir+koi+"/"+filt[0]+"/"+ao.finalKOIimageFile(koi,filt,instrUsed)): finderPlots.zoomedInSubPlot(myKoi,nrows,ncols,ii+1) pylab.title(koi) # Finish and export pylab.subplots_adjust(wspace=0.1,hspace=0.1) binaryOutfile = ao.plotDir+"allBinaries_"+filt+".pdf" pylab.savefig(binaryOutfile) pylab.close()
def makeOmniPlot(koiList,name,npix,useHardCodedFigSize=False, useHalfBox=2.0,ncols=4, scalebarLabel="", noLabels=False, figWidth=12, useFilts=["J","Ks"], useInstr= ["ARIES","PHARO"], plotExt=".pdf", plotContourList=False, extraScalebar=False):
if (npix % ncols) == 0:
nrows = npix/ncols
else:
nrows = npix / ncols +1
if ncols > 3:
fig=pylab.figure(0,figsize=(figWidth,3.5*nrows))
elif ncols ==3:
fig=pylab.figure(0,figsize=(figWidth,4.25*nrows))
elif useHardCodedFigSize != False:
fig=pylab.figure(0,figsize=(useHardCodedFigSize[0],useHardCodedFigSize[1]))
else:
fig=pylab.figure(0,figsize=(4,2.5*nrows))
ii=0
for koi in koiList:
if koi == "blank":
print "leaving blank square"
ii = ii + 1
elif koi == "scalebar":
ax=pylab.subplot(nrows,ncols,ii+1)
pylab.plot([0,1],[1,1],color="k",linewidth=2.0)
pylab.text(0.5,1.05, scalebarLabel, color="k", fontsize=18, horizontalalignment='center')
pylab.xlim(xmin=0,xmax=1)
pylab.ylim(ymin=0,ymax=1.15)
pylab.box(on=False)
ax.set_xticks([])
ax.set_yticks([])
# pylab.title(scalebarLabel)
ii = ii + 1
else:
for filt in useFilts:
for instr in useInstr:
# print "Looking for object:", ao.koiFilterDir(koi,filt,instr)
if os.path.isdir(ao.koiFilterDir(koi,filt,instr)):
print koi, instr, filt, ii
myKoi = koiPlusFilter.koiPlusFilter(koi,filt,instr)
if plotContourList == False:
useContours = False
else:
useContours = plotContourList[ii]
if ii == 0: ## only plot the (optional) scale bar on the first image
finderPlots.zoomedInSubPlot(myKoi,nrows,ncols,ii+1,useColorMap=colorScheme,plotContours=useContours,plotLowerScalebar=extraScalebar,scalebarLabel=scalebarLabel)
else:
finderPlots.zoomedInSubPlot(myKoi,nrows,ncols,ii+1,useColorMap=colorScheme,plotContours=useContours,plotLowerScalebar=False)
if noLabels == False:
if (len(useFilts)==1 & (len(useInstr)==1)):
pylab.title(koi)
else:
# pylab.title(koi+"\n"+instr+" "+filt)
pylab.title(koi+" "+" "+filt+" ("+scalebarLabel+")")
ii = ii + 1
# Finish and export
pylab.subplots_adjust(wspace=0.1,hspace=0.1)
binaryOutfile = ao.plotDir+"allBinaries_"+name+plotExt
if plotExt == ".eps":
pylab.savefig(binaryOutfile, format='eps')
else:
pylab.savefig(binaryOutfile)
pylab.close()