def setplot(plotdata=None):
#--------------------------
"""
Specify what is to be plotted at each frame.
Input: plotdata, an instance of clawpack.visclaw.data.ClawPlotData.
Output: a modified version of plotdata.
"""
if plotdata is None:
from clawpack.visclaw.data import ClawPlotData
plotdata = ClawPlotData()
plotdata.clearfigures() # clear any old figures,axes,items data
def draw_interface_add_legend(current_data):
from pylab import plot
from numpy import abs, where, log10, exp, sin, linspace
#plot([0., 0.], [-1000., 1000.], 'k--')
try:
from clawpack.visclaw import legend_tools
labels = [
'Level 1', 'Level 2', 'Level 3', 'Level 4', 'Level 5',
'Level 6', 'Level 7', 'Level 8', 'Level 9', 'Level 10'
]
legend_tools.add_legend(labels,
colors=amr_color,
markers=amr_marker,
linestyles=amr_linestyle,
loc='upper left')
except:
pass
# exact solution:
t = current_data.t
xx = linspace(-12, 12, 10000)
#xpct = xx + t
#xmct = xx - t
#p_true = ar*exp(-betar*(xpct-5)**2) * sin(freqr*xpct) + \
# al*exp(-betal*(xmct+5)**2) * sin(freql*xmct)
p_true = p_true_fcn(xx, t)
plot(xx, p_true, 'k')
def draw_interface_add_legend_innerprod(current_data):
from pylab import plot
#plot([0., 0.], [-1000., 1000.], 'k--')
try:
from clawpack.visclaw import legend_tools
labels = ['Level 3', 'Level 4']
legend_tools.add_legend(labels,
colors=['r', 'c'],
markers=['o', '^'],
linestyles=['', ''],
loc='upper left')
except:
pass
def add_grid(current_data):
from pylab import grid
grid(True)
def color_by_level(current_data):
from pylab import vstack, contourf, plot, ones, arange, colorbar
fs = current_data.framesoln
pout, level = gridtools1.grid_output_1d(fs, 0, xout, return_level=True)
Xout = vstack((xout, xout))
Yout = vstack((-1.1 * ones(xout.shape), 1.1 * ones(xout.shape)))
L = vstack((level, level))
contourf(Xout, Yout, L, v_levels, colors=c_levels)
cb = colorbar(ticks=range(1, maxlevels + 1))
cb.set_label('AMR Level')
plot(xout, pout, 'k')
#import pdb; pdb.set_trace()
def error_color_by_level(current_data):
from pylab import vstack,contourf,plot,ones,arange,colorbar,\
ylim,semilogy
fs = current_data.framesoln
t = current_data.t
pout, level = gridtools1.grid_output_1d(fs, 0, xout, return_level=True)
err = abs(pout - p_true_fcn(xout, t))
Xout = vstack((xout, xout))
Yout = vstack((ylimits_error[0] * ones(xout.shape),
ylimits_error[1] * ones(xout.shape)))
L = vstack((level, level))
contourf(Xout, Yout, L, v_levels, colors=c_levels)
cb = colorbar(ticks=range(1, maxlevels + 1))
cb.set_label('AMR Level')
semilogy(xout, err, 'k')
#semilogy(xout,level,'k')
if tolerance is not None:
plot(xout, tolerance * ones(xout.shape), 'r--')
# Figure for q[0]
plotfigure = plotdata.new_plotfigure(name='Pressure and Velocity', figno=1)
plotfigure.kwargs = {'figsize': (8, 8)}
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.axescmd = 'subplot(2,1,1)' # top figure
plotaxes.xlimits = xlimits
plotaxes.ylimits = [-1.1, 1.1]
plotaxes.title = 'Pressure'
plotaxes.afteraxes = draw_interface_add_legend
# Set up for item on these axes:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 0
plotitem.amr_color = amr_color
plotitem.amr_plotstyle = amr_plotstyle
plotitem.amr_data_show = [1, 1, 1]
plotitem.amr_kwargs = [{
'markersize': 5
}, {
'markersize': 4
}, {
'markersize': 3
}]
# Figure for error
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.axescmd = 'subplot(2,1,2)' # bottom figure
plotaxes.xlimits = xlimits
plotaxes.ylimits = [1e-10, 1]
plotaxes.title = 'abs(Error)'
plotaxes.afteraxes = add_grid
# Set up for item on these axes:
plotitem = plotaxes.new_plotitem(plot_type='1d_semilogy')
plotitem.plot_var = abs_error
plotitem.amr_color = amr_color
plotitem.amr_plotstyle = amr_plotstyle
plotitem.amr_data_show = [1, 1, 1, 1, 1]
plotfigure = plotdata.new_plotfigure(name='Pressure and Error', figno=2)
plotfigure.show = False
plotfigure.kwargs = {'figsize': (12, 8)}
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.axescmd = 'subplot(2,1,1)' # top figure
plotaxes.xlimits = xlimits
plotaxes.ylimits = [-1.1, 1.1]
plotaxes.title = 'Pressure'
plotaxes.beforeaxes = color_by_level
plotaxes.afteraxes = add_grid #draw_interface_add_legend
# Set up for item on these axes:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.show = False
plotitem.plot_var = 0
plotitem.amr_color = amr_color
plotitem.amr_plotstyle = amr_plotstyle
plotitem.amr_data_show = [1, 1, 1]
plotitem.amr_kwargs = [{
'markersize': 5
}, {
'markersize': 4
}, {
'markersize': 3
}]
# Figure for error
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.axescmd = 'subplot(2,1,2)' # bottom figure
plotaxes.xlimits = xlimits
plotaxes.ylimits = ylimits_error
plotaxes.title = 'abs(Error)'
plotaxes.beforeaxes = error_color_by_level
plotaxes.afteraxes = add_grid
# Set up for item on these axes:
plotitem = plotaxes.new_plotitem(plot_type='1d_semilogy')
plotitem.show = False
plotitem.plot_var = abs_error
plotitem.amr_color = amr_color
plotitem.amr_plotstyle = amr_plotstyle
plotitem.amr_data_show = [1, 1, 1, 1, 1]
def plot_finest(current_data):
from pylab import vstack,contourf,plot,ones,arange,colorbar,\
xlim,ylim,semilogy,figure,title,clf,subplot,show,draw,\
tight_layout,ylabel,grid
fs = current_data.framesoln
t = current_data.t
print('+++ plot_finest at t = %.4f' % t)
pout, level = gridtools1.grid_output_1d(fs, 0, xout, return_level=True)
err = abs(pout - p_true_fcn(xout, t))
Xout = vstack((xout, xout))
L = vstack((level, level))
figure(3, figsize=(12, 8))
clf()
subplot(311)
Yout = vstack((-1.1 * ones(xout.shape), 1.1 * ones(xout.shape)))
contourf(Xout, Yout, L, v_levels, colors=c_levels)
cb = colorbar(ticks=range(1, maxlevels + 1))
cb.set_label('AMR Level')
plot(xout, pout, 'k')
xlim(xlimits)
ylim(-1.1, 1.1)
title('Pressure at t = %.4f' % t)
subplot(312)
Yout = vstack((ylimits_error[0] * ones(xout.shape),
ylimits_error[1] * ones(xout.shape)))
contourf(Xout, Yout, L, v_levels, colors=c_levels)
cb = colorbar(ticks=range(1, maxlevels + 1))
cb.set_label('AMR Level')
semilogy(xout, err, 'k')
if tolerance is not None:
plot(xout, tolerance * ones(xout.shape), 'r--')
xlim(xlimits)
ylim(ylimits_error)
ylabel('abs(error)')
grid(True)
subplot(313)
Yout = vstack(
(0 * ones(xout.shape), (maxlevels + 1) * ones(xout.shape)))
contourf(Xout, Yout, L, v_levels, colors=c_levels)
cb = colorbar(ticks=range(1, maxlevels + 1))
cb.set_label('AMR Level')
plot(xout, level, 'k')
xlim(xlimits)
ylim(0, maxlevels + 1)
ylabel('AMR Level')
tight_layout()
grid(True)
draw()
plotfigure = plotdata.new_plotfigure(name='finest', figno=3)
plotfigure.kwargs = {'figsize': (12, 8)}
plotdata.afterframe = plot_finest
# Figure for inner product, q[2]
plotfigure = plotdata.new_plotfigure(name='Inner Product', figno=10)
plotfigure.show = False
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = [-12, 12]
plotaxes.ylimits = [
-15, 1
] # use when taking inner product with forward solution
#plotaxes.ylimits = [-0.01,0.02] # use when taking inner product with Richardson error
plotaxes.title = 'log10(Inner Product)'
plotaxes.afteraxes = draw_interface_add_legend
# Set up for item on these axes:
plotitem = plotaxes.new_plotitem(plot_type='1d')
plotitem.plot_var = plot_innerprod
plotitem.amr_color = amr_color
plotitem.amr_plotstyle = amr_plotstyle
plotitem.amr_data_show = [0, 1, 1, 1, 0]
plotitem.show = True # show on plot?
# Figure for abs(error)
plotfigure = plotdata.new_plotfigure(name='Error', figno=11)
plotfigure.show = False
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = [-12, 12]
plotaxes.ylimits = [-15, 1]
plotaxes.title = 'log10(Error)'
plotaxes.afteraxes = draw_interface_add_legend
# Set up for item on these axes:
plotitem = plotaxes.new_plotitem(plot_type='1d')
plotitem.plot_var = 0 #plot_error
plotitem.amr_color = amr_color
plotitem.amr_plotstyle = amr_plotstyle
plotitem.amr_data_show = [1, 1, 1, 1, 1]
plotitem.show = True # show on plot?
#-----------------------------------------
# Figures for gauges
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='q', figno=300, \
type='each_gauge')
plotfigure.clf_each_gauge = True
plotfigure.kwargs = {'figsize': (10, 10)}
plotaxes = plotfigure.new_plotaxes()
plotaxes.axescmd = 'subplot(211)'
plotaxes.xlimits = 'auto'
plotaxes.ylimits = 'auto'
plotaxes.title = 'Pressure'
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 0
plotitem.plotstyle = 'b-'
plotaxes = plotfigure.new_plotaxes()
plotaxes.axescmd = 'subplot(212)'
plotaxes.xlimits = 'auto'
plotaxes.ylimits = 'auto'
plotaxes.title = 'Velocity'
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 1
plotitem.plotstyle = 'b-'
# Parameters used only when creating html and/or latex hardcopy
# e.g., via clawpack.visclaw.frametools.printframes:
plotdata.printfigs = True # print figures
plotdata.print_format = 'png' # file format
plotdata.print_framenos = 'all' # list of frames to print
plotdata.print_fignos = 'all' # list of figures to print
plotdata.html = True # create html files of plots?
plotdata.html_homelink = '../README.html'
plotdata.latex = True # create latex file of plots?
plotdata.latex_figsperline = 2 # layout of plots
plotdata.latex_framesperline = 1 # layout of plots
plotdata.latex_makepdf = False # also run pdflatex?
return plotdata
def setplot(plotdata=None):
#--------------------------
"""
Specify what is to be plotted at each frame.
Input: plotdata, an instance of pyclaw.plotters.data.ClawPlotData.
Output: a modified version of plotdata.
"""
from clawpack.visclaw import colormaps, geoplot
from numpy import linspace
if plotdata is None:
from clawpack.visclaw.data import ClawPlotData
plotdata = ClawPlotData()
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.format = 'binary'
def timeformat(t):
from numpy import mod
hours = int(t / 3600.)
tmin = mod(t, 3600.)
min = int(tmin / 60.)
sec = int(mod(tmin, 60.))
timestr = '%s:%s:%s' % (hours, str(min).zfill(2), str(sec).zfill(2))
return timestr
def title_hours(current_data):
from pylab import title
t = current_data.t
timestr = timeformat(t)
title('%s after earthquake' % timestr)
#-----------------------------------------
# Figure for surface
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Domain and transects', figno=0)
plotfigure.kwargs = {'figsize': (11, 7)}
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes('pcolor')
#plotaxes.axescmd = 'axes([.1,.4,.8,.5])'
plotaxes.axescmd = 'axes([.1,.1,.4,.8])'
plotaxes.title = 'Surface'
#plotaxes.xlimits = [-122.4, -122.16]
#plotaxes.ylimits = [47.4, 47.8]
x1_tr1 = -122.29
x2_tr1 = -122.215
y1_tr1 = 47.57
y2_tr1 = 47.705
x1_tr2 = -122.21
x2_tr2 = -122.265
y1_tr2 = 47.4925
y2_tr2 = 47.545
def aa_transects(current_data):
from pylab import ticklabel_format, xticks, plot, text, gca, cos, pi
title_hours(current_data)
ticklabel_format(useOffset=False)
xticks(rotation=20)
plot([x1_tr1, x2_tr1], [y1_tr1, y2_tr1], 'w')
plot([x1_tr2, x2_tr2], [y1_tr2, y2_tr2], 'w')
text(x2_tr1 - 0.01,
y2_tr1 + 0.005,
'Transect 1',
color='w',
fontsize=8)
text(x1_tr2 - 0.01,
y1_tr2 - 0.008,
'Transect 2',
color='w',
fontsize=8)
gca().set_aspect(1. / cos(48 * pi / 180.))
#addgauges(current_data)
plotaxes.afteraxes = aa_transects
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
#plotitem.plot_var = geoplot.surface
plotitem.plot_var = surface_or_depth_lake
plotitem.pcolor_cmap = geoplot.tsunami_colormap
plotitem.pcolor_cmin = cmin
plotitem.pcolor_cmax = cmax
plotitem.add_colorbar = True
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.amr_patchedges_show = [0, 0, 0, 0]
plotitem.amr_data_show = [1, 1, 1, 1, 1, 0, 0]
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = cmax_land
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0]
plotitem.amr_patchedges_show = [0, 0, 0, 0]
plotitem.amr_data_show = [1, 1, 1, 1, 1, 0, 0]
# add contour lines of bathy if desired:
plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
#plotitem.show = False
plotitem.plot_var = geoplot.topo
plotitem.contour_levels = [sea_level]
plotitem.amr_contour_colors = ['g'] # color on each level
plotitem.kwargs = {'linestyles': 'solid', 'linewidths': 0.5}
plotitem.amr_contour_show = [0, 1, 0, 0] # only on finest level
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
#-----------------------------------------
# Plots along transect:
#-----------------------------------------
eta1 = lambda q: q[3, :, :]
B1 = lambda q: q[3, :, :] - q[0, :, :]
def plot_xsec(current_data):
import matplotlib.pyplot as plt
import numpy
import gridtools
from clawpack.pyclaw import Solution
framesoln = current_data.framesoln
topo_color = [.8, 1, .8]
water_color = [.5, .5, 1]
plt.figure(0)
# Transect 1:
plt.axes([.55, .5, .4, .3])
xout = numpy.linspace(x1_tr1, x2_tr1, 1000)
yout = numpy.linspace(y1_tr1, y2_tr1, 1000)
eta = gridtools.grid_output_2d(framesoln, eta1, xout, yout)
topo = gridtools.grid_output_2d(framesoln, B1, xout, yout)
eta = numpy.where(eta > topo, eta, numpy.nan)
plt.fill_between(yout, eta, topo, color=water_color)
plt.fill_between(yout, topo, -10000, color=topo_color)
plt.plot(yout, eta, 'b')
plt.plot(yout, topo, 'g')
plt.plot(yout, sea_level + 0 * topo, 'k--')
#plt.xlim(47.5,47.8)
plt.ylim(ylim_transects)
plt.ylabel('meters')
plt.grid(True)
timestr = timeformat(framesoln.t)
plt.title('Elevation on Transect 1')
# Transect 2:
plt.axes([.55, .1, .4, .3])
xout = numpy.linspace(x1_tr2, x2_tr2, 1000)
yout = numpy.linspace(y1_tr2, y2_tr2, 1000)
eta = gridtools.grid_output_2d(framesoln, eta1, xout, yout)
topo = gridtools.grid_output_2d(framesoln, B1, xout, yout)
eta = numpy.where(eta > topo, eta, numpy.nan)
topo_color = [.8, 1, .8]
water_color = [.5, .5, 1]
plt.fill_between(yout, eta, topo, color=water_color)
plt.fill_between(yout, topo, -10000, color=topo_color)
plt.plot(yout, eta, 'b')
plt.plot(yout, topo, 'g')
plt.plot(yout, sea_level + 0 * topo, 'k--')
#plt.xlim(47.5,47.8)
plt.ylim(ylim_transects)
plt.ylabel('meters')
plt.grid(True)
timestr = timeformat(framesoln.t)
plt.title('Elevation on Transect 2')
plotdata.afterframe = plot_xsec
#-----------------------------------------
# Figure for zoomed area
#-----------------------------------------
# To use, set the limits as desired and set `plotfigure.show = True`
x1, x2, y1, y2 = [-122.23, -122.2, 47.69, 47.71]
plotfigure = plotdata.new_plotfigure(name="zoomed area", figno=11)
plotfigure.show = False
plotfigure.kwargs = {'figsize': (8, 7)}
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.scaled = False
plotaxes.xlimits = [x1, x2]
plotaxes.ylimits = [y1, y2]
def aa(current_data):
from pylab import ticklabel_format, xticks, gca, cos, pi
title_hours(current_data)
ticklabel_format(useOffset=False)
xticks(rotation=20)
gca().set_aspect(1. / cos(48 * pi / 180.))
plotaxes.afteraxes = aa
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
#plotitem.plot_var = geoplot.surface
plotitem.plot_var = surface_or_depth_lake
plotitem.pcolor_cmap = geoplot.tsunami_colormap
plotitem.pcolor_cmin = cmin
plotitem.pcolor_cmax = cmax
plotitem.add_colorbar = True
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.patchedges_show = 0
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = cmax_land
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0]
plotitem.patchedges_show = 0
#-----------------------------------------
# Figures for gauges
#-----------------------------------------
time_scale = 1. / 3600.
time_label = 'hours'
plotfigure = plotdata.new_plotfigure(name='gauge depth', figno=300, \
type='each_gauge')
#plotfigure.clf_each_gauge = False
def setglimits_depth(current_data):
from pylab import xlim, ylim, title, argmax, show, array, ylabel
gaugeno = current_data.gaugeno
q = current_data.q
depth = q[0, :]
t = current_data.t
g = current_data.plotdata.getgauge(gaugeno)
level = g.level
maxlevel = max(level)
#find first occurrence of the max of levels used by
#this gauge and set the limits based on that time
argmax_level = argmax(level)
xlim(time_scale * array(t[argmax_level], t[-1]))
ylabel('meters')
min_depth = depth[argmax_level:].min()
max_depth = depth[argmax_level:].max()
ylim(min_depth - 0.5, max_depth + 0.5)
title('Gauge %i : Flow Depth (h)\n' % gaugeno + \
'max(h) = %7.3f, max(level) = %i' %(max_depth,maxlevel))
#show()
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.time_scale = time_scale
plotaxes.time_label = time_label
# Plot depth as blue curve:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 0
plotitem.plotstyle = 'b-'
## Set the limits and the title in the function below
plotaxes.afteraxes = setglimits_depth
plotfigure = plotdata.new_plotfigure(name='gauge surface eta', figno=301, \
type='each_gauge')
#plotfigure.clf_each_gauge = False
def setglimits_eta(current_data):
from pylab import xlim, ylim, title, argmax, show, array, ylabel
gaugeno = current_data.gaugeno
q = current_data.q
eta = q[3, :]
t = current_data.t
g = current_data.plotdata.getgauge(gaugeno)
level = g.level
maxlevel = max(level)
#find first occurrence of the max of levels used by
#this gauge and set the limits based on that time
argmax_level = argmax(level) #first occurrence of it
xlim(time_scale * array(t[argmax_level], t[-1]))
ylabel('meters')
min_eta = eta[argmax_level:].min()
max_eta = eta[argmax_level:].max()
ylim(min_eta - 0.5, max_eta + 0.5)
title('Gauge %i : Surface Elevation (eta)\n' % gaugeno + \
'max(eta) = %7.3f, max(level) = %i' %(max_eta,maxlevel))
#show()
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.time_scale = time_scale
plotaxes.time_label = time_label
# Plot surface (eta) as blue curve:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 3
plotitem.plotstyle = 'b-'
## Set the limits and the title in the function below
plotaxes.afteraxes = setglimits_eta
plotfigure = plotdata.new_plotfigure(name='speed', figno=302, \
type='each_gauge')
#plotfigure.clf_each_gauge = False
def speed(current_data):
from numpy import sqrt, maximum, where
q = current_data.q
h = q[0, :]
hu = q[1, :]
hv = q[2, :]
s = sqrt(hu**2 + hv**2) / maximum(h, 0.001)
s = where(h > 0.001, s, 0.0)
return s
def setglimits_speed(current_data):
from pylab import xlim, ylim, title, argmax, show, array, ylabel
gaugeno = current_data.gaugeno
s = speed(current_data)
t = current_data.t
g = current_data.plotdata.getgauge(gaugeno)
level = g.level
maxlevel = max(level)
#find first occurrence of the max of levels used by
#this gauge and set the limits based on that time
argmax_level = argmax(level) #first occurrence of it
xlim(time_scale * array(t[argmax_level], t[-1]))
ylabel('meters/sec')
min_speed = s[argmax_level:].min()
max_speed = s[argmax_level:].max()
ylim(min_speed - 0.5, max_speed + 0.5)
title('Gauge %i : Speed (s)\n' % gaugeno + \
'max(s) = %7.3f, max(level) = %i' %(max_speed,maxlevel))
#show()
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.time_scale = time_scale
plotaxes.time_label = time_label
# Plot speed (s) as blue curve:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = speed
plotitem.plotstyle = 'b-'
## Set the limits and the title in the function below
plotaxes.afteraxes = setglimits_speed
#-----------------------------------------
# Figures for fgmax plots
#-----------------------------------------
# Note: need to move fgmax png files into _plots after creating with
# python run_process_fgmax.py
# This just creates the links to these figures...
if 0:
### Putting them in _other_figures with the proper name as a link
### Can run process fgmax either before or after setplot now.
otherfigure = plotdata.new_otherfigure(name='max depth',
fname='_other_figures/%s_%s_h_onshore.png' \
% (params.loc,params.event))
otherfigure = plotdata.new_otherfigure(name='max depth on GE image',
fname='_other_figures/%s_%s_h_onshore_GE.png' \
% (params.loc,params.event))
otherfigure = plotdata.new_otherfigure(name='max speed',
fname='_other_figures/%s_%s_speed.png' \
% (params.loc,params.event))
# Plots of timing (CPU and wall time):
def make_timing_plots(plotdata):
import os
from clawpack.visclaw import plot_timing_stats
try:
timing_plotdir = plotdata.plotdir + '/_timing_figures'
os.system('mkdir -p %s' % timing_plotdir)
units = {
'comptime': 'hours',
'simtime': 'hours',
'cell': 'billions'
}
plot_timing_stats.make_plots(outdir=plotdata.outdir,
make_pngs=True,
plotdir=timing_plotdir,
units=units)
os.system('cp %s/timing.* %s' % (plotdata.outdir, timing_plotdir))
except:
print('*** Error making timing plots')
otherfigure = plotdata.new_otherfigure(name='timing',
fname='_timing_figures/timing.html')
otherfigure.makefig = make_timing_plots
#-----------------------------------------
# Parameters used only when creating html and/or latex hardcopy
# e.g., via pyclaw.plotters.frametools.printframes:
plotdata.printfigs = True # print figures
plotdata.print_format = 'png' # file format
plotdata.print_framenos = 'all' # list of frames to print
plotdata.print_gaugenos = 'all' # list of gauges to print
plotdata.print_fignos = 'all' # list of figures to print
plotdata.html = True # create html files of plots?
plotdata.html_homelink = '../README.html' # pointer for top of index
plotdata.latex = True # create latex file of plots?
plotdata.latex_figsperline = 2 # layout of plots
plotdata.latex_framesperline = 1 # layout of plots
plotdata.latex_makepdf = False # also run pdflatex?
plotdata.parallel = True # make multiple frame png's at once
return plotdata
