setplot_island_topo.py.html
Source file:   setplot_island_topo.py
Directory:   /var/www/html/clawpack/links/awr11/radial-ocean-island
Converted:   Sat Mar 5 2011 at 20:51:33   using clawcode2html
This documentation file will not reflect any later changes in the source file.

 

""" 
For figure showing the island topography only.

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
        reload(gaugetools)
        gaugetools.plot_gauge_locations(current_data.plotdata, \
             gaugenos='all', format_string='ko', add_labels=True, \
             markersize=8, fontsize=20)
    



    #-----------------------------------------
    # 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 = 'Zoom1'
    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]
    def fixup(current_data):
        import pylab
        addgauges(current_data)
        if theta_island==220:
            testtitle = 'Bathymetry for Test 1'
        elif theta_island==260:
            testtitle = 'Bathymetry for Test 2'
        else:
            testtitle = 'Bathymetry'
        pylab.title(testtitle,fontsize=20)
        pylab.xticks(fontsize=15)
        pylab.yticks(fontsize=15)
    plotaxes.afteraxes = fixup

    # 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 = [0,0,0,1,0]
    plotitem.gridedges_show = 0

    # add contour lines of bathy if desired:
    plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
    plotitem.show = True
    plotitem.plot_var = geoplot.topo
    plotitem.contour_levels = [-160, -120,  -80, -40, 0.01]
    #plotitem.contour_levels = [-150, -120, -90, -60, -30, 0.01]
    plotitem.amr_contour_colors = ['k']  # color on each level
    plotitem.kwargs = {'linewidths':2}
    #plotitem.kwargs = {'linestyles':'dashed','linewidths':2}
    plotitem.amr_contour_show = [0,0,0,1,0]  
    plotitem.amr_gridlines_show = [0]  
    plotitem.gridedges_show = 1

    def printfigs(current_data):
        import pylab
        pylab.figure(7)
        pylab.savefig('island_bathy_%s.png' % int(theta_island))
        #pylab.savefig('island_bathy_%s.tif' % int(theta_island))
    plotdata.afterframe = printfigs


    #-----------------------------------------
    
    # 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