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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/chile2010_adjoint
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Converted: Mon Feb 19 2024 at 14:28:07
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.
"""
import numpy as np
import matplotlib.pyplot as plt
from clawpack.geoclaw import topotools
try:
TG32412 = np.loadtxt('32412_notide.txt')
except:
print("*** Could not load DART data file")
#--------------------------
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 = 'ascii' # 'ascii', 'binary', 'netcdf'
# 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)
# To add title with time format hours:minutes:seconds...
def title_hours(current_data):
from pylab import title, mod
t = current_data.t
hours = int(t/3600.)
tmin = mod(t,3600.)
min = int(tmin/60.)
tsec = mod(tmin,60.)
sec = int(mod(tmin,60.))
timestr = '%s:%s:%s' % (hours,str(min).zfill(2),str(sec).zfill(2))
title('%s after earthquake' % timestr)
#-----------------------------------------
# Figure for surface
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Surface', figno=0)
plotfigure.kwargs = {'figsize':(12,6)}
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes('pcolor')
plotaxes.axescmd = 'subplot(121)'
plotaxes.title = 'Surface'
plotaxes.scaled = True
def fixup(current_data):
addgauges(current_data)
title_hours(current_data)
plotaxes.afteraxes = fixup
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.surface_or_depth
plotitem.pcolor_cmap = geoplot.tsunami_colormap
plotitem.pcolor_cmin = -0.2
plotitem.pcolor_cmax = 0.2
plotitem.add_colorbar = False
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 = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0,0,0]
plotitem.patchedges_show = 0
plotaxes.xlimits = [-120,-60]
plotaxes.ylimits = [-60,0]
# 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(-3000,-3000,1)
plotitem.amr_contour_colors = ['y'] # color on each level
plotitem.kwargs = {'linestyles':'solid','linewidths':2}
plotitem.amr_contour_show = [1,0,0]
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
#-----------------------------------------
# Figure for adjoint flagging
#-----------------------------------------
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes('adjoint')
plotaxes.axescmd = 'subplot(122)'
plotaxes.scaled = True
plotaxes.title = 'Adjoint flag'
def fixup(current_data):
from pylab import title
addgauges(current_data)
title('Adjoint flagging indicator')
plotaxes.afteraxes = fixup
def masked_inner_product(current_data):
from numpy import ma
aux = current_data.aux
tol = 1e-15
soln = ma.masked_where(aux[3,:,:] < tol, aux[3,:,:])
return soln
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = masked_inner_product
plotitem.pcolor_cmap = colormaps.white_red
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 0.0005
#plotitem.pcolor_cmax = 0.00001 # use for adjoint-error flagging
plotitem.add_colorbar = False # doesn't work when adjoint all masked
plotitem.colorbar_shrink = 0.75
plotitem.amr_celledges_show = [0,0,0]
plotitem.amr_data_show = [1,1,0] # inner product not computed on finest level
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 = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0,0,0]
plotitem.patchedges_show = 0
plotaxes.xlimits = [-120,-60]
plotaxes.ylimits = [-60,0]
#-----------------------------------------
# Figures for gauges
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Surface at gauges', figno=300, \
type='each_gauge')
plotfigure.clf_each_gauge = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = 'auto'
plotaxes.ylimits = 'auto'
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')
plotitem.show = False
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, xticks, floor, axis, xlabel
t = current_data.t
gaugeno = current_data.gaugeno
if gaugeno == 32412:
try:
plot(TG32412[:,0], TG32412[:,1], 'r')
legend(['GeoClaw','Obs'],loc='lower right')
except: pass
axis((0,t.max(),-0.3,0.3))
plot(t, 0*t, 'k')
n = int(floor(t.max()/3600.) + 2)
xticks([3600*i for i in range(n)], ['%i' % i for i in range(n)])
xlabel('time (hours)')
plotaxes.afteraxes = add_zeroline
#-----------------------------------------
# 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