def plotLoop(myFiles,fbase,tlist,grid,plot,vmax,vwidth,d,dateStr):
import datetime as dt
#print args
#myFiles,fbase,tlist,grid = args
#create a pygrid item
myGrid = pygrid()
#create a MPL figure
myFig = plt.figure()
print tlist
#draw a map
myMap = drawPygridMap(myFig,myGrid,grid=grid)
for ctime in tlist:
myGrid.delVecs()
print ctime
print 'plotting'
#read the files we have opened
for f in myFiles:
#print 'reading'
#read a record
print ctime
readPygridRec(f,myGrid,datetimeToEpoch(ctime),-1)
t1=dt.datetime.now()
#get the vectors
print 'drawing'
circs,lines,intensities = drawPygridVecs(myGrid,myMap,plot=plot,vmax=vmax)
#add the collection of vectors to the figure
ccoll = plt.scatter(circs[0],circs[1],s=.5,c='k')
lcoll = LineCollection(numpy.array(lines),linewidths=vwidth,zorder=10)
lcoll.set_array(numpy.array(intensities))
myFig.gca().add_collection(lcoll)
#do the colormapping
pydarn.plot.plotUtils.genCmap(myMap,lcoll,'grid',[0,vmax],colors='aj',map=1)
txt = plt.figtext(.5,.95,ctime.strftime("%Y/%m/%d %H:%M:%S"),weight=550,size='large',ha='center')
t2 = dt.datetime.now()
myFig.savefig(d+'/'+str(int(datetimeToEpoch(ctime)))+'.'+fbase+'.'+plot+'.svg', bbox_inches=0)
t3 = dt.datetime.now()
print 'drawing took', t2-t1
print 'saving took',t3-t2
ccoll.remove()
lcoll.remove()
myFig.texts.remove(txt)
