def plot_gauge(d,my_list,gaugeno):
figure(360)
clf()
plotdata = ClawPlotData()
d, gt, gv = read_lab_data(d)
for my in my_list:
outdir = "_output_%s_my%s" %(d,my)
plotdata.outdir = outdir
gs = plotdata.getgauge(gaugeno)
plot(gs.t, gs.q[:,3], linewidth=1)
legend_list = []
for my in my_list:
legend_list.append("my = %s" % my)
if gv[gaugeno] is not None:
plot(gt, gv[gaugeno],'k', linewidth=2)
legend_list.append("Lab data")
#axis([0,5,-.01,.02])
legend(legend_list, loc='lower right')
title("Gauge %s for d = %5.3f" % (gaugeno,d), fontsize=20)
def plot_gauge(d, my_list, gaugeno):
figure(360)
clf()
plotdata = ClawPlotData()
d, gt, gv = read_lab_data(d)
for my in my_list:
outdir = "_output_%s_my%s" % (d, my)
plotdata.outdir = outdir
gs = plotdata.getgauge(gaugeno)
plot(gs.t, gs.q[:, 3], linewidth=1)
legend_list = []
for my in my_list:
legend_list.append("my = %s" % my)
if gv[gaugeno] is not None:
plot(gt, gv[gaugeno], 'k', linewidth=2)
legend_list.append("Lab data")
#axis([0,5,-.01,.02])
legend(legend_list, loc='lower right')
title("Gauge %s for d = %5.3f" % (gaugeno, d), fontsize=20)
from matplotlib import image
dartpng = image.imread('dart32412_comp-2.png')
pylab.figure(400)
pylab.clf()
pylab.imshow(dartpng)
pylab.hold(True)
# origin of plot in pixels on image:
t0 = 195.
y0 = 221.
tscale = 120.0
yscale = -446.66666666666669
plotdata = ClawPlotData()
plotdata.outdir = "_output"
gaugedata = plotdata.getgauge(32412)
t = gaugedata.t
eta = gaugedata.q[:, 3]
t = t0 + tscale * (t / 3600.)
y = y0 + yscale * eta
pylab.plot(t, y, 'b')
pylab.plot([160, 225], [550, 550], 'b')
pylab.text(240, 560, 'GeoClaw (added to NOAA original)', fontsize=8)
pylab.text(
100,
600,
'NOAA Original from http://nctr.pmel.noaa.gov/chile20100227/dart32412_comp-2.pdf',
fontsize=8)
pylab.xlim([50, 1300])
# )
#
# ax.set_ylim(-2,2)
# plt.show()
from pyclaw.plotters.data import ClawPlotData
plotdata = ClawPlotData()
plt.figure(1)
plotdata.outdir = '_output'
plt.hold(True)
plt.grid(True)
gs = plotdata.getgauge(9)
plt.plot(gs.t,gs.q[:,3],'b',linewidth=2)
plt.annotate('Gauge 1',(100e3,2.0),(120e3,2.25),arrowprops={'width':1,'color':'k'})
gs = plotdata.getgauge(11)
plt.plot(gs.t,gs.q[:,3],'b--',linewidth=2)
plt.annotate('Gauge 2',(100e3,-2.0),(120e3,-2.25),arrowprops={'width':1,'color':'k'})
# gs = plotdata.getgauge(18)
# plt.plot(gs.t,gs.q[:,3],'b-.',linewidth=2)
# plt.annotate('Gauge 3',(50e3,-0.15),(15e3,-1.5),arrowprops={'width':1,'color':'k','shrink':0.1})
plt.plot([0,40*3600],[0,0],'k')
plt.title("Gauge Data")
plt.xlabel('t (hours)')
plt.ylabel('m')
from matplotlib import image
dartpng = image.imread("dart32412_comp-2.png")
pylab.figure(400)
pylab.clf()
pylab.imshow(dartpng)
pylab.hold(True)
# origin of plot in pixels on image:
t0 = 195.0
y0 = 221.0
tscale = 120.0
yscale = -446.66666666666669
plotdata = ClawPlotData()
plotdata.outdir = "_output"
gaugedata = plotdata.getgauge(32412)
t = gaugedata.t
eta = gaugedata.q[:, 3]
t = t0 + tscale * (t / 3600.0)
y = y0 + yscale * eta
pylab.plot(t, y, "b")
pylab.plot([160, 225], [550, 550], "b")
pylab.text(240, 560, "GeoClaw (added to NOAA original)", fontsize=8)
pylab.text(100, 600, "NOAA Original from http://nctr.pmel.noaa.gov/chile20100227/dart32412_comp-2.pdf", fontsize=8)
pylab.xlim([50, 1300])
pylab.ylim([640, 0])
pylab.axis("off")
dtopodir = '/Users/rjl/git/tohoku2011a/sources/'
gaugenos = [21401, 21413, 21418, 21419]
models = """GCMT Hayes UCSB3 Ammon Caltech Fujii Saito Gusman GusmanAU
pmelWei""".split()
models = ["GCMT"]
for model in models:
print "Model: ",model
rundata = setrun.setrun()
rundata.geodata.dtopofiles = [[1,4,4,dtopodir+'%s.txydz' % model]]
rundata.write() # create *.data files
outdir = '_output_%s' % model
runclaw.runclaw('xgeoclaw',outdir)
pd = ClawPlotData()
pd = setplot.setplot(pd)
pd.outdir = outdir
for gaugeno in gaugenos:
g = pd.getgauge(gaugeno)
d = np.vstack([g.t,g.q[:,3]]).T
fname = '../simulation_results/%s_%s.txt' % (model,gaugeno)
np.savetxt(fname, d)
print "Created ",fname
tlimits[21418] = [0,28800]
tlimits[21419] = [0,28800]
tlimits[52402] = [0,36000]
tlimits[51407] = [2100,40000]
tlimits[52403] = [8000,40000]
tlimits[52405] = [0,32400]
tlimits[52406] = [16000,40000]
tlimits[52425] = [25200,40000]
#-----------------------------------------------------
pd = ClawPlotData()
pd.outdir = '_output'
gd = {}
for gn in [51425, 21413, 52402, 52403, 52405, 52406]:
gd[gn] = pd.getgauge(gn)
figure(3, figsize=[10,8])
clf()
gn = 21413
shift = 0.
plot(gd[gn].t, gd[gn].q[:,3] + shift, 'b', linewidth=2)
text(400, shift+0.05, "%s" % gn)
dart = dartdata[gn]
mask = (dart[:,0] > gd[gn].t.min()) & (dart[:,0] < gd[gn].t.max())
plot(dart[mask,0],dart[mask,1]+shift,'r')
def plotdart(gn, shift):
plot(gd[gn].t, gd[gn].q[:,3] + shift, 'b', linewidth=2)
import setplot
import numpy as np
dtopodir = '/Users/rjl/git/tohoku2011a/sources/'
gaugenos = [21401, 21413, 21418, 21419]
models = """GCMT Hayes UCSB3 Ammon Caltech Fujii Saito Gusman GusmanAU
pmelWei""".split()
models = ["GCMT"]
for model in models:
print "Model: ", model
rundata = setrun.setrun()
rundata.geodata.dtopofiles = [[1, 4, 4, dtopodir + '%s.txydz' % model]]
rundata.write() # create *.data files
outdir = '_output_%s' % model
runclaw.runclaw('xgeoclaw', outdir)
pd = ClawPlotData()
pd = setplot.setplot(pd)
pd.outdir = outdir
for gaugeno in gaugenos:
g = pd.getgauge(gaugeno)
d = np.vstack([g.t, g.q[:, 3]]).T
fname = '../simulation_results/%s_%s.txt' % (model, gaugeno)
np.savetxt(fname, d)
print "Created ", fname
g_obs = tidegauge.read_tide_gauge('1615680__2011-03-11_to_2011-03-13.csv')
tsec = g_obs[1]
thour = tsec / 3600.
eta = g_obs[3]
figure(3)
clf()
plot(thour, eta, 'k', linewidth=1)
plot(thour, eta, 'k.', linewidth=1, label='Observed')
# computed results:
plotdata = ClawPlotData()
plotdata.outdir = '_output_americano'
print "Looking for GeoClaw results in ", plotdata.outdir
g5680 = plotdata.getgauge(5680)
# shift by 10 minutes:
thour = (g5680.t + 600.) / 3600.
plot(thour, g5680.q[:, 3], 'r', linewidth=2, label='GeoClaw')
xlim(7.5, 13)
ylim(-3, 3)
legend(loc='lower right')
xticks(range(8, 14), fontsize=15)
yticks(fontsize=15)
title('Surface elevation at Gauge 1615680', fontsize=15)
if 0:
fname = "TG5680.png"
savefig(fname)
print "Created ", fname
g_obs=tidegauge.read_tide_gauge('1615680__2011-03-11_to_2011-03-13.csv')
tsec = g_obs[1]
thour = tsec / 3600.
eta = g_obs[3]
figure(3)
clf()
plot(thour,eta,'k',linewidth=1)
plot(thour,eta,'k.',linewidth=1,label='Observed')
# computed results:
plotdata = ClawPlotData()
plotdata.outdir = '_output_americano'
print "Looking for GeoClaw results in ",plotdata.outdir
g5680 = plotdata.getgauge(5680)
# shift by 10 minutes:
thour = (g5680.t + 600.) / 3600.
plot(thour, g5680.q[:,3],'r',linewidth=2,label='GeoClaw')
xlim(7.5,13)
ylim(-3,3)
legend(loc='lower right')
xticks(range(8,14),fontsize=15)
yticks(fontsize=15)
title('Surface elevation at Gauge 1615680',fontsize=15)
if 0:
fname = "TG5680.png"
savefig(fname)
print "Created ",fname
