setplot.py.html | ![]() |
Source file: setplot.py | |
Directory: /home/rjl/git/rjleveque/clawpack-4.x/book/chap6/compareadv | |
Converted: Tue Jul 26 2011 at 12:59:02 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 pyclaw.data import Data userdata = Data(['claw.data','setprob.data']) #-------------------------- 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. """ plotdata.clearfigures() # clear any old figures,axes,items data # Figure for q[0] plotfigure = plotdata.new_plotfigure(name='q[0]', figno=1) # Set up for axes in this figure: plotaxes = plotfigure.new_plotaxes(name='Solution') plotaxes.xlimits = 'auto' plotaxes.ylimits = [-0.1, 1.1] plotaxes.title = 'q[0]' # Set up for item on these axes: plotitem = plotaxes.new_plotitem(name='solution', plot_type='1d') plotitem.plot_var = 0 plotitem.plotstyle = '-o' plotitem.color = 'b' plotaxes.afteraxes = plot_true_soln plotitem.show = True # show on plot? # 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_fignos = 'all' # list of figures to print plotdata.html = True # create html files of plots? 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 #------------------- def plot_true_soln(current_data): #------------------- from numpy import linspace, mod, exp, where from pylab import plot xtrue = linspace(userdata.xlower,userdata.xupper,1000) t = current_data.t xshift = xtrue - userdata.u*t if userdata.mthbc_xupper==2: # for periodic boundary conditions xshift = userdata.xlower + mod(xshift-userdata.xlower, \ userdata.xupper-userdata.xlower) x0 = 0.3; x1 = 0.6; x2 = 0.8 qg = exp(-userdata.beta*(xshift - x0)**2) qs = where(((xshift > x1) & (xshift < x2)), 1, 0) qtrue = qg + qs plot(xtrue, qtrue, 'r')