def multiplot(self,jd1=730120.0, djd=60, dt=20):
if not hasattr(self,'disci'):
self.generate_regdiscs()
self.x = self.disci
self.y = self.discj
if not hasattr(self,'lon'):
self.ijll()
figpref.presentation()
pl.close(1)
pl.figure(1,(10,10))
conmat = self[jd1-730120.0:jd1-730120.0+60, dt:dt+10]
x,y = self.gcm.mp(self.lon, self.lat)
self.gcm.mp.merid = []
self.gcm.mp.paral = []
pl.subplots_adjust(wspace=0,hspace=0,top=0.95)
pl.subplot(2,2,1)
pl.pcolormesh(miv(conmat),cmap=cm.hot)
pl.clim(0,250)
pl.plot([0,800],[0,800],'g',lw=2)
pl.gca().set_aspect(1)
pl.setp(pl.gca(),yticklabels=[])
pl.setp(pl.gca(),xticklabels=[])
pl.colorbar(aspect=40,orientation='horizontal',
pad=0,shrink=.8,fraction=0.05,ticks=[0,50,100,150,200])
pl.subplot(2,2,2)
colorvec = (np.nansum(conmat,axis=1)-np.nansum(conmat,axis=0))[1:]
self.gcm.mp.scatter(x, y, 10, 'w', edgecolor='k')
self.gcm.mp.scatter(x, y, 10, colorvec)
self.gcm.mp.nice()
pl.clim(0,10000)
pl.subplot(2,2,3)
colorvec = np.nansum(conmat,axis=1)[1:]
self.gcm.mp.scatter(x, y, 10, 'w', edgecolor='k')
self.gcm.mp.scatter(x, y, 10, colorvec)
self.gcm.mp.nice()
pl.clim(0,10000)
pl.subplot(2,2,4)
colorvec = np.nansum(conmat,axis=0)[1:]
self.gcm.mp.scatter(x, y, 10, 'w', edgecolor='k')
self.gcm.mp.scatter(x, y, 10, colorvec)
self.gcm.mp.nice()
pl.clim(0,10000)
mycolor.freecbar([0.2,.06,0.6,0.020],[2000,4000,6000,8000])
pl.suptitle("Trajectories seeded from %s to %s, Duration: %i-%i days" %
(pl.num2date(jd1).strftime("%Y-%m-%d"),
pl.num2date(jd1+djd).strftime("%Y-%m-%d"), dt,dt+10))
pl.savefig('multplot_%i_%03i.png' % (jd1,dt),transparent=True)
def time(self, i=500,j=250):
if not hasattr(self,'h5f'): self.h5open()
mat = self.h5f.root.chl[:,j-5:j+5,i-5:i+5]
figpref.presentation()
jd = pl.datestr2num('2012-01-01')
jd2 = pl.datestr2num('2013-04-30')+1
pl.gca().xaxis.axis_date()
pl.scatter(self.jdvec[:,np.newaxis,np.newaxis]+mat*0,mat, 5,'g')
pl.xlim(jd,jd2)
pl.scatter(self.jdvec,nanmean(nanmean(mat,axis=1),axis=1),20,'y')
#setp(gca(),yscale='log')
pl.ylim(0.01,5)
return pl.gca()