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setplot_test_mp4.py.html |
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Source file: setplot_test_mp4.py
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Directory: /Users/rjl/clawpack_src/clawpack_master/geoclaw/examples/tsunami/chile2010
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Converted: Fri Aug 23 2024 at 11:40:17
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' or 'binary' to match setrun.py
# 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 surface
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Surface', figno=0)
plotfigure.figsize = (8,6)
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes('pcolor')
plotaxes.title = 'Surface'
plotaxes.scaled = True
def fixup(current_data):
import pylab
addgauges(current_data)
t = current_data.t
t = t / 3600. # hours
pylab.title('Surface at %4.2f hours' % t, fontsize=20)
pylab.xticks(fontsize=15)
pylab.yticks(fontsize=15)
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 = -0.2
plotitem.pcolor_cmax = 0.2
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 = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [1,1,0]
plotitem.patchedges_show = 1
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 surface
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Test', figno=1)
plotfigure.figsize = (8,6)
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes('pcolor')
plotaxes.title = 'Surface'
plotaxes.scaled = True
plotaxes.xlimits = [-100,-80]
plotaxes.ylimits = [-50,-10]
def fixup(current_data):
import pylab
addgauges(current_data)
t = current_data.t
t = t / 3600. # hours
pylab.title('Surface at %4.2f hours' % t, fontsize=20)
pylab.xticks(fontsize=15)
pylab.yticks(fontsize=15)
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 = -0.2
plotitem.pcolor_cmax = 0.2
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 = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [1,1,0]
plotitem.patchedges_show = 1
#-----------------------------------------
# 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
#-----------------------------------------
# Plots of timing (CPU and wall time):
def make_timing_plots(plotdata):
from clawpack.visclaw import plot_timing_stats
import os,sys
try:
timing_plotdir = plotdata.plotdir + '/_timing_figures'
os.system('mkdir -p %s' % timing_plotdir)
# adjust units for plots based on problem:
units = {'comptime':'seconds', 'simtime':'hours',
'cell':'millions'}
plot_timing_stats.make_plots(outdir=plotdata.outdir,
make_pngs=True,
plotdir=timing_plotdir,
units=units)
except:
print('*** Error making timing plots')
otherfigure = plotdata.new_otherfigure(name='timing plots',
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 = [0,1,2,3] # 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
plotdata.mp4_movie = True
plotdata.movie_name_prefix = 'chile2010_'
plotdata.gif_movie = True
return plotdata