setplot.py.html
Source file:   setplot.py
Directory:   /Users/rjl/git/clawpack/amrclaw/examples/euler_2d_quadrants
Converted:   Wed Dec 28 2016 at 22:43:06   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 clawpack.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 density - pcolor
    plotfigure = plotdata.new_plotfigure(name='Density', figno=0)

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = [0,1]
    plotaxes.ylimits = [0,1]
    plotaxes.title = 'Density'
    plotaxes.scaled = True
    plotaxes.afteraxes = addgauges

    # 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.
    plotitem.pcolor_cmax = 2.
    plotitem.add_colorbar = True
    plotitem.amr_patchedges_show = [0]
    plotitem.amr_celledges_show = [0]


    # Figure for density - Schlieren
    plotfigure = plotdata.new_plotfigure(name='Schlieren', figno=1)

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = [0,1]
    plotaxes.ylimits = [0,1]
    plotaxes.title = 'Density'
    plotaxes.scaled = True      # so aspect ratio is 1

    # Set up for item on these axes:
    plotitem = plotaxes.new_plotitem(plot_type='2d_schlieren')
    plotitem.schlieren_cmin = 0.0
    plotitem.schlieren_cmax = 1.0
    plotitem.plot_var = 0
    plotitem.add_colorbar = False


    # 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 = [1,0]
    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 = [0,1]
    plotaxes.ylimits = [0,1]
    plotaxes.title = 'Density'

    # 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 clawpack.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)