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setplot.py.html |
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Source file: setplot.py
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Directory: /Users/rjl/clawpack_src/clawpack_master/geoclaw/examples/tsunami/radial-ocean-island-fgmax
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Converted: Mon Feb 10 2020 at 10:51:30
using clawcode2html
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This documentation file will
not reflect any later changes in the source file.
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"""
Set up the plot figures, axes, and items to be done for each frame.
This module is imported by the plotting routines and then the
function setplot is called to set the plot parameters.
"""
from clawpack.geoclaw import topotools
from clawpack.geoclaw.data import Rearth # radius of earth
from clawpack.clawutil.data import ClawData
from mapper import latlong, gcdist
probdata = ClawData()
probdata.read('setprob.data', force=True)
theta_island = probdata.theta_island
#--------------------------
def setplot(plotdata):
#--------------------------
"""
Specify what is to be plotted at each frame.
Input: plotdata, an instance of clawpack.visclaw.data.ClawPlotData.
Output: a modified version of plotdata.
"""
from clawpack.visclaw import colormaps, geoplot
from numpy import linspace
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.format = 'binary'
# To plot gauge locations on pcolor or contour plot, use this as
# an afteraxis function:
def addgauges(current_data):
from clawpack.visclaw import gaugetools
gaugetools.plot_gauge_locations(current_data.plotdata, \
gaugenos='all', format_string='ko', add_labels=True)
#-----------------------------------------
# Figure for pcolor plot
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='pcolor', figno=0)
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes('pcolor')
plotaxes.title = 'Surface'
plotaxes.scaled = True
def fixup(current_data):
import pylab
t = current_data.t
#addgauges(current_data)
pylab.title("Surface at t = %8.1f" % t, fontsize=20)
#pylab.xticks(fontsize=15)
#pylab.yticks(fontsize=15)
pylab.gca().set_aspect(1./pylab.cos(40*pylab.pi/180.))
plotaxes.afteraxes = fixup
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
#plotitem.plot_var = geoplot.surface
plotitem.plot_var = geoplot.surface_or_depth
plotitem.pcolor_cmap = geoplot.tsunami_colormap
plotitem.pcolor_cmin = -1.0
plotitem.pcolor_cmax = 1.0
plotitem.add_colorbar = True
plotitem.amr_celledges_show = [0,0,0]
plotitem.patchedges_show = 1
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = colormaps.all_white # to print better in B&W
#plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [1,0]
plotitem.patchedges_show = 1
plotaxes.xlimits = [-20,20]
plotaxes.ylimits = [20,60]
# 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 = linspace(-1000,-1000,1)
plotitem.amr_contour_colors = ['g'] # color on each level
plotitem.kwargs = {'linestyles':'dashed','linewidths':2}
plotitem.amr_contour_show = [1,0,0]
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
#-----------------------------------------
# Figure for zoom
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Zoom1', figno=7)
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes('zoom on island')
plotaxes.title = 'Surface elevation'
xisland,yisland = latlong(1600e3, theta_island, 40., Rearth)
plotaxes.xlimits = [xisland-0.6, xisland+0.8]
plotaxes.ylimits = [yisland-0.6, yisland+0.8]
def fixup(current_data):
import pylab
t = current_data.t
addgauges(current_data)
pylab.title("Surface at t = %8.1f" % t, fontsize=20)
#pylab.xticks(fontsize=15)
#pylab.yticks(fontsize=15)
pylab.gca().set_aspect(1./pylab.cos(50*pylab.pi/180.))
plotaxes.afteraxes = fixup
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.show = True
#plotitem.plot_var = geoplot.surface
plotitem.plot_var = geoplot.surface_or_depth
plotitem.pcolor_cmap = geoplot.tsunami_colormap
plotitem.pcolor_cmin = -1.0
plotitem.pcolor_cmax = 1.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0]
plotitem.patchedges_show = 1
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.show = True
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = colormaps.all_white # to print better in B&W
#plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [1,0,0,0,0]
plotitem.patchedges_show = 1
# contour lines:
plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
plotitem.show = True
plotitem.plot_var = geoplot.surface
plotitem.contour_levels = [-0.8, -0.4, 0.4, 0.8]
plotitem.amr_contour_colors = ['k'] # color on each level
plotitem.kwargs = {'linewidths':2}
plotitem.amr_contour_show = [0,0,0,1,1]
plotitem.celledges_show = 0
plotitem.patchedges_show = 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 = linspace(-1000,-1000,1)
plotitem.amr_contour_colors = ['g'] # color on each level
plotitem.kwargs = {'linestyles':'dashed','linewidths':2}
plotitem.amr_contour_show = [0,0,1]
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
#-----------------------------------------
# Figures for gauges
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Surface & topo', figno=300, \
type='each_gauge')
plotfigure.clf_each_gauge = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = [6000, 14000]
plotaxes.ylimits = [-2.0, 3.0]
plotaxes.title = 'Surface'
# Plot surface as blue curve:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 3
plotitem.plotstyle = 'b-'
# Plot topo as green curve:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
def gaugetopo(current_data):
q = current_data.q
h = q[0,:]
eta = q[3,:]
topo = eta - h
return topo
plotitem.plot_var = gaugetopo
plotitem.plotstyle = 'g-'
def add_zeroline(current_data):
from pylab import plot, legend
t = current_data.t
#legend(('surface','topography'),loc='lower left')
plot(t, 0*t, 'k')
plotaxes.afteraxes = add_zeroline
#-----------------------------------------
# Figure for grids alone
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='grids', figno=2)
plotfigure.show = False
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = [0,1]
plotaxes.ylimits = [0,1]
plotaxes.title = 'grids'
plotaxes.scaled = True
# Set up for item on these axes:
plotitem = plotaxes.new_plotitem(plot_type='2d_patch')
plotitem.amr_patch_bgcolor = ['#ffeeee', '#eeeeff', '#eeffee']
plotitem.amr_celledges_show = [1,1,0]
plotitem.amr_patchedges_show = [1]
#-----------------------------------------
# Figures for fgmax plots
#-----------------------------------------
# Note: You need to move fgmax png files into _plots/fgmax_plots after
# creating them, e.g., by running the process_fgmax notebook or script.
# The lines below just create links to these figures from _PlotIndex.html
otherfigure = plotdata.new_otherfigure(name='max depth on fgmax grid 1',
fname='fgmax_plots/fgmax0001_h_onshore.png')
otherfigure = plotdata.new_otherfigure(name='max speed on fgmax grid 1',
fname='fgmax_plots/fgmax0001_speed.png')
otherfigure = plotdata.new_otherfigure(name='max elevation on fgmax grid 2',
fname='fgmax_plots/fgmax0002_surface.png')
otherfigure = plotdata.new_otherfigure(name='max depth on fgmax grid 3',
fname='fgmax_plots/fgmax0003_h_onshore.png')
otherfigure = plotdata.new_otherfigure(name='max speed on fgmax grid 3',
fname='fgmax_plots/fgmax0003_speed.png')
# add additional lines for any other figures you want added to the index.
#-----------------------------------------
# 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':'seconds', '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')
# create a link to this webpage from _PlotIndex.html:
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 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_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?
return plotdata