def movie(self):
import matplotlib as mpl
mpl.rcParams['axes.labelcolor'] = 'white'
pl.close(1)
pl.figure(1, (8, 4.5), facecolor='k')
miv = np.ma.masked_invalid
figpref.current()
jd0 = pl.date2num(dtm(2005, 1, 1))
jd1 = pl.date2num(dtm(2005, 12, 31))
mp = projmaps.Projmap('glob')
x, y = mp(self.llon, self.llat)
for t in np.arange(jd0, jd1):
print pl.num2date(t)
self.load(t)
pl.clf()
pl.subplot(111, axisbg='k')
mp.pcolormesh(x,
y,
miv(np.sqrt(self.u**2 + self.v**2)),
cmap=cm.gist_heat)
pl.clim(0, 1.5)
mp.nice()
pl.title(
'%04i-%02i-%02i' % (pl.num2date(t).year, pl.num2date(t).month,
pl.num2date(t).day),
color='w')
pl.savefig('/Users/bror/oscar/norm/%03i.png' % t,
bbox_inches='tight',
facecolor='k',
dpi=150)
def movie(self):
import matplotlib as mpl
mpl.rcParams['axes.labelcolor'] = 'white'
pl.close(1)
pl.figure(1,(8,4.5),facecolor='k')
miv = np.ma.masked_invalid
figpref.current()
jd0 = pl.date2num(dtm(2005,1,1))
jd1 = pl.date2num(dtm(2005,12,31))
mp = projmaps.Projmap('glob')
x,y = mp(self.llon,self.llat)
for t in np.arange(jd0,jd1):
print pl.num2date(t)
self.load(t)
pl.clf()
pl.subplot(111,axisbg='k')
mp.pcolormesh(x,y,
miv(np.sqrt(self.u**2 +self.v**2)),
cmap=cm.gist_heat)
pl.clim(0,1.5)
mp.nice()
pl.title('%04i-%02i-%02i' % (pl.num2date(t).year,
pl.num2date(t).month,
pl.num2date(t).day),
color='w')
pl.savefig('/Users/bror/oscar/norm/%03i.png' % t,
bbox_inches='tight',facecolor='k',dpi=150)
def plot_onereg(self, regid):
"""Plot mintime of connectivity for one individual region"""
tomat = self.llat * np.nan
for i,v in enumerate(self.mintmat[1:,regid]):
tomat[self.regmat==(i+1)] = v
frmat = self.llat * np.nan
for i,v in enumerate(self.mintmat[regid,1:]):
frmat[self.regmat==(i+1)] = v
djtk,lim = djdticks(max(np.nanmax(tomat), np.nanmax(frmat)))
figpref.current()
pl.close(1)
fig = pl.figure(1,(8,8))
pl.clf()
pl.suptitle("Connectivity for region %i" % regid)
mask = self.regmat == regid
x,y = self.gcm.mp(self.llon[mask], self.llat[mask])
pl.subplots_adjust(hspace=0, top=0.95,bottom = 0.15)
pl.subplot(2,1,1, axisbg="0.8")
self.gcm.pcolor(frmat, cmap=WRY(), rasterized=True)
pl.clim(0,lim)
self.gcm.mp.text(70,60,'Time from region')
self.gcm.mp.scatter(x,y,5,'b')
pl.subplot(2,1,2, axisbg="0.8")
self.gcm.pcolor(tomat, cmap=WRY(), rasterized=True)
pl.clim(0,lim)
self.gcm.mp.text(70,60,'Time to region')
self.gcm.mp.scatter(x,y,5,'b')
if 'mycolor' in sys.modules:
mycolor.freecbar([0.2,0.12,0.6,0.025], djtk, cmap=WRY())
pl.savefig('figs/onereg_%02i_%02i_%06i.png' %
(self.regdi, self.regdj, regid))
def plot_mintmin(self, regdij):
""" Plot the min time for connection between regions """
fname = 'data/mintime_ecco025ecco025_%02i_%02i.npz'
regmat = np.load(fname % (regdij,regdij))['regmat'].astype(np.float)
mintmat = np.load(fname % (regdij,regdij))['mintmat'].astype(np.float)
figpref.current()
pl.close(1)
fig = pl.figure(1,(8,9))
pl.subplot(2,1,1, axisbg="0.7")
regmat[regmat==0] = np.nan
self.gcm.pcolor(regmat)
pl.subplot(2,1,2)
pl.pcolormesh(miv(mintmat))
pl.clim(0,365*3)
pl.colorbar()
pl.suptitle('reg size = %i gridcells' % regdij)
pl.savefig('figs/mintmin_%03i.png' % regdij)
def plot_numreg(self, maxdays, regdi=5, regdj=5):
"""Plot number of regions connected to each region"""
if not hasattr(self,'mintmat'):
self.read_mintmat(self,regdi=regdi, regdj=regdj)
def calc_numregmat(loc="to"):
axis = 1 if loc is "to" else 0
numreg = self.regmat[:] * np.nan
numvec = np.sum(np.where(self.mintmat<=maxdays, 1, 0), axis=axis)
for r,n in zip(np.arange(1,self.nreg+1), numvec[1:]):
numreg[self.regmat==r] = n
return numreg
numregfrom = calc_numregmat("from")
numregto = calc_numregmat("to")
lim = max(np.nanmax(numregto, axis=None),
np.nanmax(numregfrom, axis=None))
figpref.current()
pl.close(1)
fig = pl.figure(1,(8,11))
pl.clf()
pl.suptitle("Connectivity after %i days" % maxdays)
pl.subplots_adjust(hspace=0, top=0.95,bottom = 0.15)
pl.subplot(3,1,1, axisbg="0.8")
self.gcm.pcolor(miv(numregfrom), cmap=WRY(), rasterized=True)
pl.clim(0,lim)
self.gcm.mp.text(70,60,'Number of source regions')
pl.subplot(3,1,2, axisbg="0.8")
self.gcm.pcolor(miv(numregto), cmap=WRY(), rasterized=True)
pl.clim(0,lim)
self.gcm.mp.text(70,60,'Number of sink regions')
pl.subplot(3,1,3, axisbg="0.8")
self.gcm.pcolor(miv(numregto-numregfrom), cmap=GBRY(), rasterized=True)
pl.clim(-lim,lim)
self.gcm.mp.text(70,60,'Difference, sinks-sources')
if 'mycolor' in sys.modules:
mycolor.freecbar([0.2,0.12,0.6,0.025],[-lim,-lim/2,0,lim/2,lim],
cmap=GBRY())
pl.savefig('data/numreg_%03i.pdf' % maxdays)
