ustar = np.sqrt(stress/rho)
wstar = maxw / 2.75
limsmall = 0.5
ustar[np.where(ustar<limsmall)] = limsmall
ratio = wstar / ustar
ratio = ((tsurf-temp)/temp)*(wstar/ustar)
ratio[np.where(ratio<0.)] = 0.
#ratio = (tsurf-temp)/temp
ratio = tsurf-temp
pl = ppplot.plot2d()
pl.f = ratio
#pl.c = hgt
pl.x = dd.xcoord
pl.y = dd.ycoord
#pl.vmin = 0.
#pl.vmax = 3.
pl.back = "ddmap"
pl.proj = "cyl"
pl.trans = 0.5
pl.colorbar = "hot"
pl.leftcorrect = True
pl.make()
ppplot.save(mode="png",filename="test"+str(ls))
ppplot.close()
#! /usr/bin/env python
from ppclass import pp
import planets
import ppplot
fi = "DRAG90days_DISSIP10000_year7_912791376_512_z5"
u,lon,lat,p,t = pp(file=fi+".nc",var="u",t=0,z=0,x="-180,180").getfd()
# index = acosphi*((omega*acosphi)+u) / (omega*a*a)
sindex = planets.Saturn.superrot(u=u,lat=lat)
pl = ppplot.plot1d()
pl.f = sindex*1000.
pl.x = lat
pl.ylabel = r'Local superrotation index $s = \mathcal{M}_u / \Omega a^2$ ($\times 10^{-3}$)'
pl.xmin = -10.
pl.xmax = 10.
pl.fmt = '%.0f'
pl.ymin = -30.
pl.ymax = 10.
pl.marker = ''
pl.xlabel = "Latitude (deg)"
pl.make()
ppplot.save(mode="png",filename=fi+"_superrot")
# computations
wind = u**2 + v**2
wind = np.sqrt(wind)
# get evolution over season
ind = np.where(lon == dalon)
# make a simple plot
pl = ppplot.plot1d()
pl.x = range(0, 360, 30)
pl.xlabel = "L$_s$ ($^{\circ}$)"
pl.ylabel = "Wind speed (m s$^{-1}$)"
pl.out = "png"
pl.filename = "lsdune"
pl.f = u[ind][:, dalt]
pl.legend = "WE component"
pl.make()
pl.f = v[ind][:, dalt]
pl.legend = "SN component"
pl.make()
pl.f = wind[ind][:, dalt]
pl.legend = "total wind"
pl.make()
# save plot
ppplot.save(mode="png", filename="seasonal", includedate=False)
# computations
wind = u**2 + v**2
wind = np.sqrt(wind)
# get evolution over season
ind = np.where(lon == dalon)
# make a simple plot
pl = ppplot.plot1d()
pl.x = range(0,360,30)
pl.xlabel = "L$_s$ ($^{\circ}$)"
pl.ylabel = "Wind speed (m s$^{-1}$)"
pl.out = "png"
pl.filename = "lsdune"
pl.f = u[ind][:,dalt]
pl.legend = "WE component"
pl.make()
pl.f = v[ind][:,dalt]
pl.legend = "SN component"
pl.make()
pl.f = wind[ind][:,dalt]
pl.legend = "total wind"
pl.make()
# save plot
ppplot.save(mode="png",filename="seasonal",includedate=False)
sdg.legend = 'mcd'
sdg.marker = 's'
sdg.color = 'w'
sdg.make()
nnn=60
dd=10
ppplot.rainbow(cb="jet",num=nnn/dd)
ppp = ppplot.plot1d()
ppp.marker = '.'
ppp.ymax = 9000.
ppp.xlabel = 'temperature (K)'
ppp.ylabel = 'altitude (m)'
for iii in range(0,nnn,dd):
if iii == 0:
sdg.verbose = True
req.t = 258 + iii + utc/24.
prof,xx,yy,zz,tt = req.getfd()
ppp.x = prof
ppp.f = zz*1000.
ppp.legend = 'gcm sol 258+'+str(iii)
ppp.make()
ppplot.save(mode="png",filename="comp")
r.x = lats
r.y = press
r.invert = True
r.logy = True
r.vmin = -100.
r.vmax = 400.
r.xmin = -90.
r.xmax = 90.
r.colorbar = "spectral"
r.fmt = "%.0f"
r.swaplab = False
r.xlabel = "Latitude ($^{\circ}$N)"
r.ylabel = "Pressure (Pa)"
r.units = "m s$^{-1}$"
r.make()
ppplot.save(mode="png",filename="section",includedate=False)
ppplot.close()
###################################
ppplot.figuref(x=12,y=8)
##
r = ppplot.plot1d()
r.f = gmcbwind
r.x = gmcblat
r.marker = '.'
r.linestyle = ''
r.color = 'p'
r.legend = "Cassini ISS CB (GM11)"
r.make()
##
r = ppplot.plot1d()
u = data[:, 3:15]
data = np.loadtxt("v.txt")
v = data[:, 3:15]
# computations
wind = u**2 + v**2
wind = np.sqrt(wind)
# make a simple plot
pl = ppplot.plot1d()
pl.x = range(0, 24, 2)
pl.xlabel = "Local time (Martian hours)"
pl.ylabel = "Wind speed (m s$^{-1}$)"
pl.out = "png"
pl.filename = "plotdune"
pl.f = u[0, :]
pl.legend = "WE component"
pl.make()
pl.f = v[0, :]
pl.legend = "SN component"
pl.make()
pl.f = wind[0, :]
pl.legend = "total wind"
pl.make()
# save plot
ppplot.save(mode="png", filename="plotdune", includedate=False)
u = data[:,3:15]
data = np.loadtxt("v.txt")
v = data[:,3:15]
# computations
wind = u**2 + v**2
wind = np.sqrt(wind)
# make a simple plot
pl = ppplot.plot1d()
pl.x = range(0,24,2)
pl.xlabel = "Local time (Martian hours)"
pl.ylabel = "Wind speed (m s$^{-1}$)"
pl.out = "png"
pl.filename = "plotdune"
pl.f = u[0,:]
pl.legend = "WE component"
pl.make()
pl.f = v[0,:]
pl.legend = "SN component"
pl.make()
pl.f = wind[0,:]
pl.legend = "total wind"
pl.make()
# save plot
ppplot.save(mode="png",filename="plotdune",includedate=False)
p.f = sigma*np.nan # trick to make it transparent
p.clev = [0.]
p.ccol = "white"
p.ccol = "red"
p.x = specx
p.y = spect / opt.dt # /25000. Saturne
p.invert = True
for nnn in nutab:
for n2n2 in n2tab:
p.c = mypl.dispeqw(s,sigma,nu=nnn,lz=lz,N2=n2n2)
p.make()
if opt.output is None: ppplot.show()
else: ppplot.save(mode="png",filename=opt.output)
####################################
# save a .sh file with the command #
####################################
command = ""
for arg in sys.argv: command = command + arg + ' '
if opt.output is not None:
try:
f = open(opt.output+'.sh', 'w')
f.write(command)
except IOError:
print "!! WARNING !! not saved. Probably do not have permission to write here."
anom.z = 0 anom.t = "0,1e10" anom.compute = "pert_t" anom.verbose = True fanom = anom.getf() wip = 100. * fanom / ffield logfac = np.log(1.165 / 0.1e-2) wip = 0.4 * ffield / logfac pl = ppplot.plot2d() pl.f = np.max(wip, axis=0) w = np.where(pl.f <= 1.2) pl.f[w] = 1.0 pl.colorbar = "copper_r" pl.vmin = 1.0 pl.vmax = 1.5 pl.fmt = "%.2f" pl.div = 20 pl.units = "m/s" pl.xcoeff = 0.025 pl.ycoeff = 0.025 pl.xlabel = "x-axis (km)" pl.ylabel = "y-axis (km)" pl.make() ppplot.save(mode="pdf", filename="tracks_" + fold)
for yeah in [tttall]:
#for yeah in ["0"]:
u.t = yeah
u.compute = "nothing"
ustm = u.getf()
u.compute = "max" ; zemax = u.getf()
u.compute = "min" ; zemin = u.getf()
u.compute = "mean" ; zemean = u.getf()
ppplot.figuref(x=4,y=4)
dval = 0.05
bins = np.arange(zemin,zemax,dval)
hh = mpl.hist(np.ravel(ustm),bins,log=True)
print hh
mpl.title("$\mu$=%.2f / m=%.2f / M=%.2f" % (zemean,zemin,zemax))
mpl.xlabel('Friction velocity $u_{\star}$ (m s$^{-1}$)')
ppplot.save(mode="png",filename="roughness_hist")
ppplot.close()
u.x = None
u.y = None
u.t = tttall
u.compute = "max"
u.xcoeff = 0.01
u.ycoeff = 0.01
u.xlabel = "x (km)"
u.ylabel = "y (km)"
u.title = 'maximum $u\star$'
u.vmin = 0.4
u.vmax = 1.1
u.div = 70
#! /usr/bin/env python
from ppclass import pp
import planets
import ppplot
fi = "DRAG90days_DISSIP10000_year7_912791376_512_z5"
u, lon, lat, p, t = pp(file=fi + ".nc", var="u", t=0, z=0,
x="-180,180").getfd()
# index = acosphi*((omega*acosphi)+u) / (omega*a*a)
sindex = planets.Saturn.superrot(u=u, lat=lat)
pl = ppplot.plot1d()
pl.f = sindex * 1000.
pl.x = lat
pl.ylabel = r'Local superrotation index $s = \mathcal{M}_u / \Omega a^2$ ($\times 10^{-3}$)'
pl.xmin = -10.
pl.xmax = 10.
pl.fmt = '%.0f'
pl.ymin = -30.
pl.ymax = 10.
pl.marker = ''
pl.xlabel = "Latitude (deg)"
pl.make()
ppplot.save(mode="png", filename=fi + "_superrot")
p.f = sigma * np.nan # trick to make it transparent
p.clev = [0.0]
p.ccol = "white"
p.ccol = "red"
p.x = specx
p.y = spect / opt.dt # /25000. Saturne
p.invert = True
for nnn in nutab:
for n2n2 in n2tab:
p.c = mypl.dispeqw(s, sigma, nu=nnn, lz=lz, N2=n2n2)
p.make()
if opt.output is None:
ppplot.show()
else:
ppplot.save(mode="png", filename=opt.output)
####################################
# save a .sh file with the command #
####################################
command = ""
for arg in sys.argv:
command = command + arg + " "
if opt.output is not None:
try:
f = open(opt.output + ".sh", "w")
f.write(command)
except IOError:
print "!! WARNING !! not saved. Probably do not have permission to write here."
#! /usr/bin/env python
import ppplot
import numpy as np
# load data
# http://docs.scipy.org/doc/numpy/reference/generated/numpy.loadtxt.html
p,z,t,dew,hum,mix,wdir,wknot,thta,thte,thtv \
= np.loadtxt("sounding.txt",skiprows=8,unpack=True)
# make a simple plot
sdg = ppplot.plot1d()
sdg.f = z
sdg.x = t
sdg.makeshow()
# Tweaking a little bit the plot
sdg.linestyle = '-'
sdg.marker = '.'
sdg.color = 'r'
sdg.ycoeff = 1.e-3
sdg.title = "A random terrestrial sounding"
sdg.legend = "Fort Smith 00Z 26 Sep 2013"
sdg.xlabel = "Temperature ($^{\circ}$C)"
sdg.ylabel = "Altitude (km)"
sdg.makeshow()
sdg.make()
ppplot.save(mode="png", filename="plot", res=50, includedate=False)
pl.colorbar = "hot"
pl.ymax = ymax
pl.ymin = ymin
pl.showcb = False
pl.div = 40
pl.make()
import matplotlib.pyplot as plt
from matplotlib.ticker import FormatStrFormatter
ax = plt.gca()
ax.yaxis.set_minor_formatter(FormatStrFormatter("%.1f"))
plt.contour(time, period, sig95, [-99, 1], colors='g')
ppplot.save(mode="png",filename="wavelet")
exit()
###############################################
#------------------------------------------------------ Plotting
#! /usr/bin/env python
import ppplot
import numpy as np
# load data
# http://docs.scipy.org/doc/numpy/reference/generated/numpy.loadtxt.html
p,z,t,dew,hum,mix,wdir,wknot,thta,thte,thtv \
= np.loadtxt("sounding.txt",skiprows=8,unpack=True)
# make a simple plot
sdg = ppplot.plot1d()
sdg.f = z
sdg.x = t
sdg.makeshow()
# Tweaking a little bit the plot
sdg.linestyle = '-'
sdg.marker = '.'
sdg.color = 'r'
sdg.ycoeff = 1.e-3
sdg.title = "A random terrestrial sounding"
sdg.legend = "Fort Smith 00Z 26 Sep 2013"
sdg.xlabel = "Temperature ($^{\circ}$C)"
sdg.ylabel = "Altitude (km)"
sdg.makeshow()
sdg.make()
ppplot.save(mode="png",filename="plot",res=50,includedate=False)
