setplot.py.html | |
Source file: setplot.py | |
Directory: /Users/rjl/git/clawpack/amrclaw/examples/advection_2d_square | |
Converted: Wed Dec 28 2016 at 22:37:33 using clawcode2html | |
This documentation file will not reflect any later changes in the source file. |
""" 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 __future__ import absolute_import #-------------------------- def setplot(plotdata=None): #-------------------------- """ Specify what is to be plotted at each frame. Input: plotdata, an instance of visclaw.data.ClawPlotData. Output: a modified version of plotdata. """ from clawpack.visclaw import colormaps if plotdata is None: from clawpack.visclaw.data import ClawPlotData plotdata = ClawPlotData() plotdata.clearfigures() # clear any old figures,axes,items data # Figure for pcolor plot plotfigure = plotdata.new_plotfigure(name='pcolor', figno=0) # Set up for axes in this figure: plotaxes = plotfigure.new_plotaxes() plotaxes.xlimits = [0,1] plotaxes.ylimits = [0,1] plotaxes.title = 'Solution' plotaxes.scaled = True # Set up for item on these axes: plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor') plotitem.plot_var = 0 plotitem.pcolor_cmap = colormaps.yellow_red_blue plotitem.pcolor_cmin = 0.1 plotitem.pcolor_cmax = 1. plotitem.add_colorbar = True plotitem.amr_celledges_show = [0] plotitem.amr_patchedges_show = [0] # Figure for contour plot plotfigure = plotdata.new_plotfigure(name='contour', figno=1) # Set up for axes in this figure: plotaxes = plotfigure.new_plotaxes() plotaxes.xlimits = [0,1] plotaxes.ylimits = [0,1] plotaxes.title = 'Solution' plotaxes.scaled = True plotaxes.afteraxes = addgauges # Set up for item on these axes: plotitem = plotaxes.new_plotitem(plot_type='2d_contour') plotitem.plot_var = 0 plotitem.contour_nlevels = 20 plotitem.contour_min = 0.01 plotitem.contour_max = 0.99 plotitem.amr_contour_colors = ['r','g','b'] # color on each level plotitem.amr_patch_bgcolor = ['#ffeeee', '#eeeeff', '#eeffee'] plotitem.celledges_show = 0 plotitem.patchedges_show = 0 # Figure for grid cells plotfigure = plotdata.new_plotfigure(name='cells', figno=2) # Set up for axes in this figure: plotaxes = plotfigure.new_plotaxes() plotaxes.xlimits = [0,1] plotaxes.ylimits = [0,1] plotaxes.title = 'Grid patches' 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 gauges #----------------------------------------- plotfigure = plotdata.new_plotfigure(name='q', 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 = 'q' # Plot q as blue curve: plotitem = plotaxes.new_plotitem(plot_type='1d_plot') plotitem.plot_var = 0 plotitem.plotstyle = 'b-' # Parameters used only when creating html and/or latex hardcopy # e.g., via 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_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.html_movie = 'JSAnimation' # new style, or "4.x" for old style 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 # 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)