Python ClawPlotData.html_movie方法代码示例

# 需要导入模块: from clawpack.visclaw.data import ClawPlotData [as 别名]
# 或者: from clawpack.visclaw.data.ClawPlotData import html_movie [as 别名]
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.
    
    """ 

    if plotdata is None:
        from clawpack.visclaw.data import ClawPlotData
        plotdata = ClawPlotData()


    plotdata.clearfigures()  # clear any old figures,axes,items data
    
    print("**** Python plotting tools not yet implemented in 3d")
    print("**** No frame plots will be generated.")

    #-----------------------------------------
    # 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 clawpack.visclaw.frametools.printframes:

    plotdata.printfigs = False               # print figures
    plotdata.print_format = 'png'            # file format
    plotdata.print_framenos = []             # list of frames to print
    plotdata.print_fignos = []               # list of figures to print
    plotdata.html = False                    # 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 = False                   # 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

# 需要导入模块: from clawpack.visclaw.data import ClawPlotData [as 别名]
# 或者: from clawpack.visclaw.data.ClawPlotData import html_movie [as 别名]
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.
    
    """ 

    if plotdata is None:
        from clawpack.visclaw.data import ClawPlotData
        plotdata = ClawPlotData()


    from clawpack.visclaw import colormaps

    plotdata.clearfigures()  # clear any old figures,axes,items data
    

    # Figure for pressure
    # -------------------

    plotfigure = plotdata.new_plotfigure(name='Pressure', figno=0)

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = 'auto'
    plotaxes.ylimits = 'auto'
    plotaxes.title = 'Pressure'
    plotaxes.scaled = True      # so aspect ratio is 1

    # Set up for item on these axes:
    plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
    plotitem.plot_var = 0
    plotitem.pcolor_cmap = colormaps.blue_yellow_red
    plotitem.pcolor_cmin = -2.0
    plotitem.pcolor_cmax = 2.0
    plotitem.add_colorbar = True
    

    # Figure for scatter plot
    # -----------------------

    plotfigure = plotdata.new_plotfigure(name='scatter', figno=3)
    plotfigure.show = (qref_dir is not None)  # don't plot if 1d solution is missing

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = [0,1.5]
    plotaxes.ylimits = [-2.,4.]
    plotaxes.title = 'Scatter plot'

    # Set up for item on these axes: scatter of 2d data
    plotitem = plotaxes.new_plotitem(plot_type='1d_from_2d_data')
    
    def p_vs_r(current_data):
        # Return radius of each grid cell and p value in the cell
        from pylab import sqrt
        x = current_data.x
        y = current_data.y
        r = sqrt(x**2 + y**2)
        q = current_data.q
        p = q[0,:,:]
        return r,p

    plotitem.map_2d_to_1d = p_vs_r
    plotitem.plot_var = 0
    plotitem.plotstyle = 'o'
    plotitem.color = 'b'
    plotitem.show = (qref_dir is not None)       # show on plot?
    
    # Set up for item on these axes: 1d reference solution
    plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
    plotitem.outdir = qref_dir
    plotitem.plot_var = 0
    plotitem.plotstyle = '-'
    plotitem.color = 'r'
    plotitem.kwargs = {'linewidth': 2}
    plotitem.show = True       # show on plot?
    
    def make_legend(current_data):
        import matplotlib.pyplot as plt
        plt.legend(('2d data', '1d reference solution'))

    plotaxes.afteraxes = make_legend


    # 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
#.........这里部分代码省略.........