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setplot.py.html
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Source file: setplot.py
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Directory: /var/www/html/clawpack/links/awr10/radial-ocean-island
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Converted: Thu Jul 29 2010 at 13:49:18
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 pyclaw.geotools import topotools
from mapper import latlong
from pyclaw.data import Data
probdata = Data('setprob.data')
theta_island = probdata.theta_island
geodata = Data('setgeo.data')
Rearth = geodata.Rearth
#--------------------------
def setplot(plotdata):
#--------------------------
"""
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 pyclaw.plotters import colormaps, geoplot
from numpy import linspace
plotdata.clearfigures() # clear any old figures,axes,items data
# To plot gauge locations on pcolor or contour plot, use this as
# an afteraxis function:
def addgauges(current_data):
from pyclaw.plotters 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
#plotaxes.afteraxes = addgauges
# 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_gridlines_show = [0,0,0]
plotitem.gridedges_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_gridlines_show = [1,1,0,0,0]
plotitem.gridedges_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.gridlines_show = 0
plotitem.gridedges_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'
plotaxes.scaled = True
xisland,yisland = latlong(1600e3, theta_island, 40., Rearth)
plotaxes.xlimits = [xisland-0.6, xisland+0.6]
plotaxes.ylimits = [yisland-0.6, yisland+0.6]
#plotaxes.afteraxes = addgauges
def bigfont(current_data):
import pylab
t = current_data.t
pylab.title("Surface at t = %8.1f" % t, fontsize=20)
pylab.xticks(fontsize=15)
pylab.yticks(fontsize=15)
plotaxes.afteraxes = bigfont
# 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_gridlines_show = [0]
plotitem.gridedges_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_gridlines_show = [0,0,0,1,0]
plotitem.gridedges_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.gridlines_show = 0
plotitem.gridedges_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.gridlines_show = 0
plotitem.gridedges_show = 0
#-----------------------------------------
# Figures for gauges
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Surface & topo', figno=300, \
type='each_gauge')
plotfigure.clf_each_gauge = False
# 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_grid')
plotitem.amr_grid_bgcolor = ['#ffeeee', '#eeeeff', '#eeffee']
plotitem.amr_gridlines_show = [1,1,0]
plotitem.amr_gridedges_show = [1]
#-----------------------------------------
# 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?
return plotdata