def myplot(vari, depi, varol, varoc, depo, figfile):
def getdv(var, dep):
v = var[1, :, 1, :]
if dep[:].ndim == var.ndim:
dep = dep[1, :, 1, :]
elif dep[:].ndim == 3:
dep = dep[:, 1, :]
xb, yb = meshcells(v.getAxis(-1), dep)
return xb, yb, v.asma()
xbi, ybi, vi = getdv(vari, depi)
xbo, ybo, vol = getdv(varol, depo)
_, _, voc = getdv(varoc, depo)
vmin, vmax = minmax(vi, vol, voc)
kw = dict(vmin=vmin, vmax=vmax)
P.figure(figsize=(10, 4))
ax = P.subplot(131)
P.pcolormesh(xbi, ybi, vi, **kw)
P.title('Original')
P.subplot(132, sharex=ax, sharey=ax)
P.pcolormesh(xbo, ybo, vol, **kw)
P.title('Linear')
P.subplot(133, sharex=ax, sharey=ax)
P.pcolormesh(xbo, ybo, voc, **kw)
P.ylim(ymin=min(ybi.min(), ybo.min()), ymax=max(ybi.max(), ybo.max()))
P.title('Cellave')
P.tight_layout()
P.savefig(figfile)
def myplot(vari, depi, varol, varoc, depo, figfile):
def getdv(var, dep):
v = var[1, :, 1, :]
if dep[:].ndim==var.ndim:
dep = dep[1, :, 1, :]
elif dep[:].ndim==3:
dep = dep[:, 1, :]
xb, yb = meshcells(v.getAxis(-1), dep)
return xb, yb, v.asma()
xbi, ybi, vi = getdv(vari, depi)
xbo, ybo, vol = getdv(varol, depo)
_, _, voc = getdv(varoc, depo)
vmin, vmax = minmax(vi, vol, voc)
kw = dict(vmin=vmin, vmax=vmax)
P.figure(figsize=(10, 4))
ax = P.subplot(131)
P.pcolormesh(xbi, ybi, vi, **kw)
P.title('Original')
P.subplot(132, sharex=ax, sharey=ax)
P.pcolormesh(xbo, ybo, vol, **kw)
P.title('Linear')
P.subplot(133, sharex=ax, sharey=ax)
P.pcolormesh(xbo, ybo, voc, **kw)
P.ylim(ymin=min(ybi.min(), ybo.min()), ymax=max(ybi.max(), ybo.max()))
P.title('Cellave')
P.tight_layout()
P.savefig(figfile)
loni.setBounds(xib)
lati.setBounds(yib)
xi = loni.getValue()
yi = lati.getValue()
dx = N.diff(xi[0]).mean()
dy = N.diff(yi[:, 0]).mean()
xo = N.arange(xi.min()+10*dx, -30*dx+xi.max(), dx)
yo = N.arange(yi.min()-20*dy, yi.max()-20*dy, dy)
lono = cdms2.createAxis(xo)
lono.designateLongitude() ; lono.units= 'degrees_east'
lato = cdms2.createAxis(yo)
lato.designateLatitude() ; lato.units = 'degrees_north'
xob = bounds1d(lono) ; lono.setBounds(xob)
yob = bounds1d(lato) ; lato.setBounds(yob)
grido = cdms2.createRectGrid(lato, lono)
xmin, xmax = minmax(loni.asma(),lono)
ymin, ymax = minmax(lati.asma(), lato)
nyo,nxo = grido.shape
#print 'rank',rank
basefile = code_file_name(ext=False)
repfile = basefile+'.nt%(nt)s-nz%(nz)s-nyi%(nyi)s-nxi%(nxi)s.log'%locals()
if rank==0:
if os.path.exists(repfile): os.remove(repfile)
f = open(repfile, 'w')
if size:
# print 'MPI', size
print >>f, 'MPI: NPROC=%i'%size
print >>f, 'NT=%(nt)i, NZ=%(nz)i'%locals()
print >>f, 'NYI=%(nyi)i, NXI=%(nxi)i'%locals()
print >>f, 'NYO=%(nyo)i, NXO=%(nxo)i'%locals()
dep = create_dep([-5000, -3000, -2000, -1000, -500, -300, -200, -100.])
var = {}
var['t'] = MV2.reshape(
N.arange(grid.size() * len(dep)) * 1., (len(dep), ) + grid.shape)
set_grid(var['t'], grid)
var['t'].setAxis(0, dep)
# Arakawa manager
ag = CGrid()
# Interpolations
for p in 'u', 'v', 'f', 'w':
var[p] = ag.interp(var['t'], 't', p, mode='extrap')
# Surface plots
vmin, vmax = minmax(*[var[p][-1] for p in ['u', 'v', 'f']])
kw = dict(show=False,
res=None,
vmin=vmin,
vmax=vmax,
colorbar=False,
grid=False,
cmap='jet')
m = map2(var['t'][-1],
fill='pcolor',
title='Interpolations on an Arakawa C grid: T->U/V/F',
**kw)
add_grid(var['t'], linestyle='-')
kw.update(fill='scatter', contour=False, fill_s=60)
markers = dict(u='>', v='^', f='D', t='o')
for p in 't', 'u', 'v', 'f':
dep = create_dep([-5000, -3000, -2000, -1000, -500, -300, -200, -100.])
var = {}
var['t'] = MV2.reshape(N.arange(grid.size()*len(dep))*1., (len(dep), )+grid.shape)
set_grid(var['t'], grid)
var['t'].setAxis(0, dep)
# Arakawa manager
ag = CGrid()
# Interpolations
for p in 'u', 'v', 'f', 'w':
var[p] = ag.interp(var['t'], 't', p, mode='extrap')
# Surface plots
vmin, vmax = minmax(*[var[p][-1] for p in ['u', 'v', 'f']])
kw = dict(show=False, res=None, vmin=vmin, vmax=vmax, colorbar=False, grid=False, cmap='jet')
m = map2(var['t'][-1], fill='pcolor',
title='Interpolations on an Arakawa C grid: T->U/V/F', **kw)
add_grid(var['t'], linestyle='-')
kw.update(fill='scatter', contour=False, fill_s=60)
markers = dict(u='>', v='^', f='D', t='o')
for p in 't', 'u', 'v', 'f':
m = map2(var[p][-1], fill_marker=markers[p], shadow=True, zorder=100, **kw)
m.savefig(code_file_name(ext='_1.png'))
m.close()
# Vertical plot
curve2(var['t'][:, 0, 0], 'o-b', ymax=0, show=False,
title='Interpolations on an Arakawa C grid: T->W')
curve2(var['w'][:, 0, 0], '^r', show=False, savefig=code_file_name(ext='_2.png'))
