Python ClawPlotData.new_plotfigure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 new_plotfigure [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

    # Figure for q[0]
    plotfigure = plotdata.new_plotfigure(name='Pressure and Velocity', figno=1)

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = 'auto'
    plotaxes.ylimits = [-.5,1.3]
    plotaxes.title = 'q'

    # Set up for item on these axes:
    plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
    plotitem.plot_var = 0
    plotitem.plotstyle = '-o'
    plotitem.color = 'b'

    # Plot true solution for comparison:
    def plot_qtrue(current_data):
        from pylab import plot, legend
        x = current_data.x
        t = current_data.t
        q = qtrue(x,t)
        plot(x,q,'r',label='true solution')
        legend()

    plotaxes.afteraxes = plot_qtrue



    # 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'
    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

# 需要导入模块: from clawpack.visclaw.data import ClawPlotData [as 别名]
# 或者: from clawpack.visclaw.data.ClawPlotData import new_plotfigure [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 new_plotfigure [as 别名]
def setplot(plotdata=None):
#--------------------------
    
    """ 
    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 clawpack.visclaw import colormaps, geoplot

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


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

    def set_drytol(current_data):
        # The drytol parameter is used in masking land and water and
        # affects what color map is used for cells with small water depth h.
        # The cell will be plotted as dry if h < drytol.
        # The best value to use often depends on the application and can
        # be set here (measured in meters):
        current_data.user["drytol"] = 1.e-3

    plotdata.beforeframe = set_drytol

    #-----------------------------------------
    # Figure for pcolor plot
    #-----------------------------------------
    plotfigure = plotdata.new_plotfigure(name='pcolor', figno=0)

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes('pcolor')
    plotaxes.title = 'Surface'
    plotaxes.scaled = True

    # Water
    plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
    plotitem.plot_var = geoplot.surface
    plotitem.pcolor_cmap = geoplot.tsunami_colormap
    plotitem.pcolor_cmin = -0.1
    plotitem.pcolor_cmax = 0.1
    plotitem.add_colorbar = True
    plotitem.amr_celledges_show = [0,0,0]
    plotitem.patchedges_show = 1

    # Land
    plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
    plotitem.plot_var = geoplot.land
    plotitem.pcolor_cmap = geoplot.land_colors
    plotitem.pcolor_cmin = 0.0
    plotitem.pcolor_cmax = 100.0
    plotitem.add_colorbar = False
    plotitem.amr_celledges_show = [0,0,0]
    plotitem.patchedges_show = 1
    plotaxes.xlimits = [-2,2]
    plotaxes.ylimits = [-2,2]

    # Add contour lines of bathymetry:
    plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
    plotitem.plot_var = geoplot.topo
    from numpy import arange, linspace
    plotitem.contour_levels = linspace(-.1, 0.5, 20)
    plotitem.amr_contour_colors = ['k']  # color on each level
    plotitem.kwargs = {'linestyles':'solid'}
    plotitem.amr_contour_show = [1]  
    plotitem.celledges_show = 0
    plotitem.patchedges_show = 0
    plotitem.show = True

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

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = [-2,2]
    plotaxes.ylimits = [-0.15,0.3]
    plotaxes.title = 'Cross section at y=0'
    def plot_topo_xsec(current_data):
        from pylab import plot, cos,sin,where,legend,nan
        t = current_data.t

        x = linspace(-2,2,201)
        y = 0.
        B = h0*(x**2 + y**2)/a**2 - h0
        eta1 = sigma*h0/a**2 * (2.*x*cos(omega*t) + 2.*y*sin(omega*t) -sigma)
        etatrue = where(eta1>B, eta1, nan)
        plot(x, etatrue, 'r', label="true solution", linewidth=2)
        plot(x, B, 'g', label="bathymetry")
        ## plot([0],[-1],'kx',label="Level 1")  # shouldn't show up in plots,
        ## plot([0],[-1],'bo',label="Level 2")  # but will produced desired legend
        plot([0],[-1],'bo',label="Computed")  ## need to fix plotstyle
        legend()
    plotaxes.afteraxes = plot_topo_xsec
#.........这里部分代码省略.........

# 需要导入模块: from clawpack.visclaw.data import ClawPlotData [as 别名]
# 或者: from clawpack.visclaw.data.ClawPlotData import new_plotfigure [as 别名]
def setplot(plotdata=None):
#--------------------------
    
    """ 
    Specify what is to be plotted at each frame.
    Input:  plotdata, an instance of pyclaw.plotters.data.ClawPlotData.
    Output: a modified version of plotdata.
    
    """ 

    import os

    import numpy as np
    import matplotlib.pyplot as plt

    from clawpack.visclaw import geoplot, gaugetools, colormaps

    import clawpack.clawutil.data as clawutil
    import clawpack.amrclaw.data as amrclaw
    import clawpack.geoclaw.data

    import clawpack.geoclaw.multilayer.plot as ml_plot

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

    from numpy import linspace



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

    # Load data from output
    clawdata = clawutil.ClawInputData(2)
    clawdata.read(os.path.join(plotdata.outdir,'claw.data'))
    amrdata = amrclaw.AmrclawInputData(clawdata)
    amrdata.read(os.path.join(plotdata.outdir,'amr.data'))
    geodata = clawpack.geoclaw.data.GeoClawData()
    geodata.read(os.path.join(plotdata.outdir,'geoclaw.data'))
    multilayer_data = clawpack.geoclaw.data.MultilayerData()
    multilayer_data.read(os.path.join(plotdata.outdir,'multilayer.data'))

    # 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)

    # ========================================================================
    #  Generic helper functions
    # ========================================================================
    def pcolor_afteraxes(current_data):
        # bathy_ref_lines(current_data)
        gauge_locations(current_data)
        
    def contour_afteraxes(current_data):
        # gauge_locations(current_data)
        # m_to_km_labels()
        plt.hold(True)
        pos = -80.0 * (23e3 / 180) + 500e3 - 5e3
        plt.plot([pos,pos],[-300e3,300e3],'b',[pos-5e3,pos-5e3],[-300e3,300e3],'y')
        plt.hold(False)
        wind_contours(current_data)
        bathy_ref_lines(current_data)
        
    def profile_afteraxes(current_data):
        pass
        
    def gauge_locations(current_data,gaugenos='all'):
        plt.hold(True)
        gaugetools.plot_gauge_locations(current_data.plotdata, \
             gaugenos=gaugenos, format_string='kx', add_labels=True)
        plt.hold(False)
    
    # ========================================================================
    # Axis limits
    # xlimits = [amrdata.xlower,amrdata.xupper]
    xlimits = [-100.0, 100.0]

    # ylimits = [amrdata.ylower,amrdata.yupper]
    ylimits = [-100.0, 100.0]
    
    eta = [multilayer_data.eta[0],multilayer_data.eta[1]]

    top_surface_limits = [eta[0]-10,eta[0]+10]
    internal_surface_limits = [eta[1]-5,eta[1]+5]
    depth_limits = [0.0, 0.4]
    top_speed_limits = [0.0,0.1]
    internal_speed_limits = [0.0,0.03]
    

    # ========================================================================
    #  Surface Elevations
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Surface', figno=0)
    plotfigure.show = True
#.........这里部分代码省略.........

# 需要导入模块: from clawpack.visclaw.data import ClawPlotData [as 别名]
# 或者: from clawpack.visclaw.data.ClawPlotData import new_plotfigure [as 别名]
def setplot(plotdata=None):
    """"""

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

    # clear any old figures,axes,items data
    plotdata.clearfigures()
    plotdata.format = 'ascii'

    # Load data from output
    clawdata = clawutil.ClawInputData(2)
    clawdata.read(os.path.join(plotdata.outdir, 'claw.data'))
    physics = geodata.GeoClawData()
    physics.read(os.path.join(plotdata.outdir, 'geoclaw.data'))
    surge_data = geodata.SurgeData()
    surge_data.read(os.path.join(plotdata.outdir, 'surge.data'))
    friction_data = geodata.FrictionData()
    friction_data.read(os.path.join(plotdata.outdir, 'friction.data'))

    # Load storm track
    track = surgeplot.track_data(os.path.join(plotdata.outdir, 'fort.track'))

    # Calculate landfall time
    # Landfall for Ike in Houston was September 13th, at 7 UTC
    landfall_dt = datetime.datetime(2008, 9, 13, 7) - \
                  datetime.datetime(2008, 1, 1,  0)
    landfall = landfall_dt.days * 24.0 * 60**2 + landfall_dt.seconds

    # Set afteraxes function
    def surge_afteraxes(cd):
        surgeplot.surge_afteraxes(cd, track, landfall, plot_direction=False,
                                  kwargs={"markersize": 4})

    # Color limits
    surface_limits = [-5.0, 5.0]
    speed_limits = [0.0, 3.0]
    wind_limits = [0, 64]
    pressure_limits = [935, 1013]
    friction_bounds = [0.01, 0.04]

    def gulf_after_axes(cd):
        # plt.subplots_adjust(left=0.08, bottom=0.04, right=0.97, top=0.96)
        surge_afteraxes(cd)

    def latex_after_axes(cd):
        # plt.subplot_adjust()
        surge_afteraxes(cd)

    def friction_after_axes(cd):
        # plt.subplots_adjust(left=0.08, bottom=0.04, right=0.97, top=0.96)
        plt.title(r"Manning's $n$ Coefficient")
        # surge_afteraxes(cd)

    # ==========================================================================
    #   Plot specifications
    # ==========================================================================
    regions = {"Gulf": {"xlimits": (clawdata.lower[0], clawdata.upper[0]),
                        "ylimits": (clawdata.lower[1], clawdata.upper[1]),
                        "figsize": (6.4, 4.8)},
               "LaTex Shelf": {"xlimits": (-97.5, -88.5),
                               "ylimits": (27.5, 30.5),
                               "figsize": (8, 2.7)}}

    for (name, region_dict) in regions.iteritems():

        # Surface Figure
        plotfigure = plotdata.new_plotfigure(name="Surface - %s" % name)
        plotfigure.kwargs = {"figsize": region_dict['figsize']}
        plotaxes = plotfigure.new_plotaxes()
        plotaxes.title = "Surface"
        plotaxes.xlimits = region_dict["xlimits"]
        plotaxes.ylimits = region_dict["ylimits"]
        plotaxes.afteraxes = surge_afteraxes

        surgeplot.add_surface_elevation(plotaxes, bounds=surface_limits)
        surgeplot.add_land(plotaxes)
        plotaxes.plotitem_dict['surface'].amr_patchedges_show = [0] * 10
        plotaxes.plotitem_dict['land'].amr_patchedges_show = [0] * 10

        # Speed Figure
        plotfigure = plotdata.new_plotfigure(name="Currents - %s" % name)
        plotfigure.kwargs = {"figsize": region_dict['figsize']}
        plotaxes = plotfigure.new_plotaxes()
        plotaxes.title = "Currents"
        plotaxes.xlimits = region_dict["xlimits"]
        plotaxes.ylimits = region_dict["ylimits"]
        plotaxes.afteraxes = surge_afteraxes

        surgeplot.add_speed(plotaxes, bounds=speed_limits)
        surgeplot.add_land(plotaxes)
        plotaxes.plotitem_dict['speed'].amr_patchedges_show = [0] * 10
        plotaxes.plotitem_dict['land'].amr_patchedges_show = [0] * 10
    #
    # Friction field
    #
    plotfigure = plotdata.new_plotfigure(name='Friction')
    plotfigure.show = friction_data.variable_friction and True

#.........这里部分代码省略.........

# 需要导入模块: from clawpack.visclaw.data import ClawPlotData [as 别名]
# 或者: from clawpack.visclaw.data.ClawPlotData import new_plotfigure [as 别名]
def setplot(plotdata=None):
#--------------------------

    r"""Setplot function for surge plotting"""
    
    if plotdata is None:
        from clawpack.visclaw.data import ClawPlotData
        plotdata = ClawPlotData()


    plotdata.clearfigures()  # clear any old figures,axes,items data
    plotdata.format = 'binary'

    fig_num_counter = surgeplot.figure_counter()

    # Load data from output
    clawdata = clawutil.ClawInputData(2)
    clawdata.read(os.path.join(plotdata.outdir,'claw.data'))
    amrdata = amrclaw.AmrclawInputData(clawdata)
    amrdata.read(os.path.join(plotdata.outdir,'amr.data'))
    physics = geodata.GeoClawData()
    physics.read(os.path.join(plotdata.outdir,'geoclaw.data'))
    surge_data = geodata.SurgeData()
    surge_data.read(os.path.join(plotdata.outdir,'surge.data'))
    friction_data = geodata.FrictionData()
    friction_data.read(os.path.join(plotdata.outdir,'friction.data'))

    # Load storm track
    track = surgeplot.track_data(os.path.join(plotdata.outdir,'fort.track'))

    # Calculate landfall time, off by a day, maybe leap year issue?
    landfall_dt = datetime.datetime(2008,9,13,7) - datetime.datetime(2008,1,1,0)
    landfall = (landfall_dt.days - 1.0) * 24.0 * 60**2 + landfall_dt.seconds

    # Set afteraxes function
    surge_afteraxes = lambda cd: surgeplot.surge_afteraxes(cd,
                                        track, landfall, plot_direction=False)

    # Color limits
    surface_range = 5.0
    speed_range = 3.0
    eta = physics.sea_level
    if not isinstance(eta,list):
        eta = [eta]
    surface_limits = [eta[0]-surface_range,eta[0]+surface_range]
    # surface_contours = numpy.linspace(-surface_range, surface_range,11)
    surface_contours = [-5,-4.5,-4,-3.5,-3,-2.5,-2,-1.5,-1,-0.5,0.5,1,1.5,2,2.5,3,3.5,4,4.5,5]
    surface_ticks = [-5,-4,-3,-2,-1,0,1,2,3,4,5]
    surface_labels = [str(value) for value in surface_ticks]
    speed_limits = [0.0,speed_range]
    speed_contours = numpy.linspace(0.0,speed_range,13)
    speed_ticks = [0,1,2,3]
    speed_labels = [str(value) for value in speed_ticks]
    
    wind_limits = [0,64]
    # wind_limits = [-0.002,0.002]
    pressure_limits = [935,1013]
    friction_bounds = [0.01,0.04]
    # vorticity_limits = [-1.e-2,1.e-2]

    # def pcolor_afteraxes(current_data):
    #     surge_afteraxes(current_data)
    #     surge.plot.gauge_locations(current_data,gaugenos=[6])
    
    def contour_afteraxes(current_data):
        surge_afteraxes(current_data)

    def add_custom_colorbar_ticks_to_axes(axes, item_name, ticks, tick_labels=None):
        axes.plotitem_dict[item_name].colorbar_ticks = ticks
        axes.plotitem_dict[item_name].colorbar_tick_labels = tick_labels

    # ==========================================================================
    # ==========================================================================
    #   Plot specifications
    # ==========================================================================
    # ==========================================================================

    # ========================================================================
    #  Entire Gulf
    # ========================================================================
    gulf_xlimits = [clawdata.lower[0],clawdata.upper[0]]
    gulf_ylimits = [clawdata.lower[1],clawdata.upper[1]]
    gulf_shrink = 0.9
    def gulf_after_axes(cd):
        plt.subplots_adjust(left=0.08, bottom=0.04, right=0.97, top=0.96)
        surge_afteraxes(cd)
    #
    #  Surface
    #
    plotfigure = plotdata.new_plotfigure(name='Surface - Entire Domain', 
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = True

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Surface'
    plotaxes.scaled = True
    plotaxes.xlimits = gulf_xlimits
    plotaxes.ylimits = gulf_ylimits
    plotaxes.afteraxes = gulf_after_axes
#.........这里部分代码省略.........

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

    gamma = 1.4
    def pressure(current_data):
        q = current_data.q
        rho = q[0,:]
        u = q[1,:]/rho
        p = (gamma-1)*(q[2,:] - 0.5*rho*u**2)
        return p

    level_labels = ['Level 1','Level 2', 'Level 3', 'Level 4']
    level_colors = ['k','g','b','r']
    level_styles = '-'
    level_markers = ''

    def add_legend(current_data):
        try:
            from clawpack.visclaw import legend_tools
            legend_tools.add_legend(labels=level_labels, colors=level_colors,
                        markers=level_markers, linestyles=level_styles,
                        loc='upper right')
        except:
            print('legend_tools error')
            pass


    # Density and pressure plots
    # --------------------------

    plotfigure = plotdata.new_plotfigure(name='Density and Pressure', figno=1)
    plotfigure.kwargs = {'figsize':(10,5)}

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.axescmd = 'subplot(1,2,1)'   # left figure
    plotaxes.xlimits = [0,1]
    plotaxes.ylimits = [0,7]
    plotaxes.title = 'Density'
    #plotaxes.afteraxes = add_legend

    # Set up for item on these axes:
    plotitem = plotaxes.new_plotitem(plot_type='1d_pwconst')
    plotitem.plot_var = 0
    plotitem.amr_color = level_colors
    plotitem.amr_plotstyle = level_styles
    plotitem.amr_data_show = [1]  # all levels


    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.axescmd = 'subplot(1,2,2)'   # right
    plotaxes.xlimits = [0,1]
    plotaxes.ylimits = [-10,1100]
    plotaxes.title = 'Pressure'
    plotaxes.afteraxes = add_legend

    # Set up for item on these axes:
    plotitem = plotaxes.new_plotitem(plot_type='1d_pwconst')
    plotitem.plot_var = pressure
    plotitem.amr_color = level_colors
    plotitem.amr_plotstyle = level_styles
    plotitem.amr_data_show = [1]  # all levels

    #  Density and pressure plots, zoomed at final time
    # -------------------------------------------------

    plotfigure = plotdata.new_plotfigure(name='zoom view', figno=2)
    plotfigure.kwargs = {'figsize':(10,5)}

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.axescmd = 'subplot(1,2,1)'   # left figure
    plotaxes.xlimits = [0.5,0.9]
    plotaxes.ylimits = [0,7]
    plotaxes.title = 'Density'
    #plotaxes.afteraxes = add_legend

    # Set up for item on these axes:
    plotitem = plotaxes.new_plotitem(plot_type='1d_pwconst')
    plotitem.plot_var = 0
    plotitem.amr_color = level_colors
    plotitem.amr_plotstyle = level_styles
    plotitem.amr_data_show = [1]  # all levels


    # Set up for axes in this figure:
#.........这里部分代码省略.........

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

    # Figure for pressure and velocity:
    plotfigure = plotdata.new_plotfigure(name='Pressure and Velocity', figno=1)

    # Pressure:
    # ---------

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.axescmd = 'subplot(2,1,1)'   # top figure
    plotaxes.xlimits = 'auto'
    plotaxes.ylimits = [-.5,1.]
    plotaxes.title = 'Pressure'

    # Set up for item on these axes:
    plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
    plotitem.plot_var = 0
    plotitem.plotstyle = '-'
    plotitem.color = 'b'


    # Velocity:
    # ---------

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.axescmd = 'subplot(2,1,2)'   # bottom figure
    plotaxes.xlimits = 'auto'
    plotaxes.ylimits = [-1.,1.]
    plotaxes.title = 'Velocity'

    # Set up for item on these axes:
    plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
    plotitem.plot_var = 1
    plotitem.plotstyle = '-'
    plotitem.color = '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'
    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

# 需要导入模块: from clawpack.visclaw.data import ClawPlotData [as 别名]
# 或者: from clawpack.visclaw.data.ClawPlotData import new_plotfigure [as 别名]
def setplot(plotdata):
#--------------------------
    
    """ 
    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
    from numpy import linspace

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

    plotdata.clearfigures()  # clear any old figures,axes,items data
    
    def plot_corner(current_data):
        from pylab import plot
        plot([.0,.0],[-1,0],'r',linewidth=2)
        plot([.0,1],[0,.55],'r',linewidth=2)

    def sigmatr(current_data):
        # trace of sigma
        q = current_data.q
        return q[0,:,:] + q[1,:,:]



    # Figure for trace of sigma
    plotfigure = plotdata.new_plotfigure(name='trace(sigma)', figno=0)

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = 'auto'
    plotaxes.ylimits = 'auto'
    plotaxes.title = 'trace(sigma)'
    plotaxes.scaled = True
    plotaxes.afteraxes = plot_corner

    # Set up for item on these axes:
    plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
    plotitem.plot_var = sigmatr
    plotitem.pcolor_cmap = colormaps.red_yellow_blue
    plotitem.pcolor_cmin = -1.
    plotitem.pcolor_cmax = 1.
    plotitem.add_colorbar = True
    plotitem.show = True       # show on plot?
    


    # Figure for shear stress
    plotfigure = plotdata.new_plotfigure(name='shear', figno=1)

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = 'auto'
    plotaxes.ylimits = 'auto'
    plotaxes.title = 'shear stress'
    plotaxes.scaled = True
    plotaxes.afteraxes = plot_corner

    # Set up for item on these axes:
    plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
    plotitem.plot_var = 2  # sigma_12
    plotitem.pcolor_cmap = colormaps.red_yellow_blue
    plotitem.pcolor_cmin = -0.2
    plotitem.pcolor_cmax = 0.2
    plotitem.add_colorbar = True
    plotitem.show = True       # show on plot?
    

    # Figure for contours 
    plotfigure = plotdata.new_plotfigure(name='contours', figno=2)

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = 'auto'
    plotaxes.ylimits = 'auto'
    plotaxes.title = 'pressure(black) and shear(green)'
    plotaxes.scaled = True
    plotaxes.afteraxes = plot_corner

    # Set up for item on these axes:
    plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
    plotitem.plot_var = sigmatr
    plotitem.contour_levels = linspace(-2,8,50)
    plotitem.contour_colors = 'k'
    plotitem.show = True       # show on plot?

    # Set up for item on these axes:
    plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
    plotitem.plot_var = 2  # sigma_12
    plotitem.contour_levels = linspace(-0.4,0.4,30)
    plotitem.contour_colors = 'g'
    plotitem.show = True       # show on plot?
    
#.........这里部分代码省略.........

# 需要导入模块: from clawpack.visclaw.data import ClawPlotData [as 别名]
# 或者: from clawpack.visclaw.data.ClawPlotData import new_plotfigure [as 别名]
def setplot(plotdata):
    r"""Setplot function for surge plotting"""
    
    if plotdata is None:
        from clawpack.visclaw.data import ClawPlotData
        plotdata = ClawPlotData()


    plotdata.clearfigures()  # clear any old figures,axes,items data
    plotdata.format = 'binary'

    fig_num_counter = surgeplot.figure_counter()

    # Load data from output
    clawdata = clawutil.ClawInputData(2)
    clawdata.read(os.path.join(plotdata.outdir,'claw.data'))
    amrdata = amrclaw.AmrclawInputData(clawdata)
    amrdata.read(os.path.join(plotdata.outdir,'amr.data'))
    physics = geodata.GeoClawData()
    physics.read(os.path.join(plotdata.outdir,'geoclaw.data'))
    surge_data = geodata.SurgeData()
    surge_data.read(os.path.join(plotdata.outdir,'surge.data'))
    friction_data = geodata.FrictionData()
    friction_data.read(os.path.join(plotdata.outdir,'friction.data'))

    # Load storm track
    track = surgeplot.track_data(os.path.join(plotdata.outdir,'fort.track'))

    # Calculate landfall time, off by a day, maybe leap year issue?
    landfall_dt = datetime.datetime(2008, 8, 1, 12) - datetime.datetime(2008,1,1,0)
    landfall = landfall_dt.days * 24.0 * 60**2 + landfall_dt.seconds

    # Set afteraxes function
    surge_afteraxes = lambda cd: surgeplot.surge_afteraxes(cd, 
                                        track, landfall, plot_direction=False)

    # Limits for plots
    full_xlimits = [clawdata.lower[0], clawdata.upper[0]]
    full_ylimits = [clawdata.lower[1], clawdata.upper[1]]

    # Color limits
    surface_range = 1.0
    speed_range = 2.0

    xlimits = full_xlimits
    ylimits = full_ylimits
    eta = physics.sea_level
    if not isinstance(eta,list):
        eta = [eta]
    surface_limits = [eta[0]-surface_range,eta[0]+surface_range]
    speed_limits = [0.0,speed_range]
    
    wind_limits = [0,55]
    pressure_limits = [966,1013]

    ref_lines = []


    # ==========================================================================
    #  Generic helper functions
    # ==========================================================================
    def pcolor_afteraxes(current_data):
        surge_afteraxes(current_data)
        # surgeplot.gauge_locations(current_data)
        
    def contour_afteraxes(current_data):
        surge_afteraxes(current_data)
        
    def bathy_ref_lines(current_data):
        pass
    #     plt.hold(True)
    #     y = [amrdata.ylower,amrdata.yupper]
    #     for ref_line in ref_lines:
    #         plt.plot([ref_line,ref_line],y,'y--')
    #     plt.hold(False)

    
    # ==========================================================================
    # ==========================================================================
    #   Plot specifications
    # ==========================================================================
    # ==========================================================================

    # ========================================================================
    #  Surface Elevations - Entire Domain
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Surface', figno=0)
    plotfigure.show = True

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Surface'
    plotaxes.scaled = True
    plotaxes.xlimits = xlimits
    plotaxes.ylimits = ylimits
    plotaxes.afteraxes = pcolor_afteraxes

    surgeplot.add_surface_elevation(plotaxes, bounds=surface_limits)
    surgeplot.add_land(plotaxes,topo_min=-10.0,topo_max=5.0)

#.........这里部分代码省略.........

# 需要导入模块: from clawpack.visclaw.data import ClawPlotData [as 别名]
# 或者: from clawpack.visclaw.data.ClawPlotData import new_plotfigure [as 别名]
def setplot(plotdata):
#--------------------------
    
    """ 
    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

    
    # Figure with both components
    plotfigure = plotdata.new_plotfigure(name='h and hu', figno=0)
    plotfigure.kwargs = {'figsize':(6,8)}

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.axescmd = 'subplot(2,1,1)'
    plotaxes.xlimits = 'auto'
    plotaxes.ylimits = [0., 4.5]
    plotaxes.title = 'depth h'

    # Set up for item on these axes:
    plotitem = plotaxes.new_plotitem(plot_type='1d')
    plotitem.plot_var = 0
    plotitem.plotstyle = '-'
    plotitem.color = 'b'
    

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.axescmd = 'subplot(2,1,2)'
    plotaxes.xlimits = 'auto'
    plotaxes.ylimits = [-2., 6.]
    plotaxes.title = 'momentum hu'

    # Set up for item on these axes:
    plotitem = plotaxes.new_plotitem(plot_type='1d')
    plotitem.plot_var = 1
    plotitem.plotstyle = '-'
    plotitem.color = 'b'
    plotitem.show = True       # show on plot?
    

    # 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.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

# 需要导入模块: from clawpack.visclaw.data import ClawPlotData [as 别名]
# 或者: from clawpack.visclaw.data.ClawPlotData import new_plotfigure [as 别名]
def setplot(plotdata=None):
#--------------------------
    
    """ 
    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 clawpack.visclaw import colormaps, geoplot
    from clawpack.visclaw.data import ClawPlotData

    from numpy import linspace

    if plotdata is None:
        plotdata = ClawPlotData()

    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 clawpack.visclaw import gaugetools
        gaugetools.plot_gauge_locations(current_data.plotdata, \
             gaugenos='all', format_string='ko', add_labels=True)
    
    def fixup(current_data):
        import pylab
        #addgauges(current_data)
        t = current_data.t
        t = t / 3600.  # hours
        pylab.title('Surface at %4.2f hours' % t, fontsize=20)
        pylab.xticks(fontsize=15)
        pylab.yticks(fontsize=15)

    #-----------------------------------------
    # Figure for surface
    #-----------------------------------------
    plotfigure = plotdata.new_plotfigure(name='Surface', figno=0)

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes('pcolor')
    plotaxes.title = 'Surface'
    plotaxes.scaled = True
    plotaxes.afteraxes = fixup

    # Water
    plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
    #plotitem.plot_var = geoplot.surface
    plotitem.plot_var = geoplot.surface_or_depth
    plotitem.pcolor_cmap = geoplot.tsunami_colormap
    plotitem.pcolor_cmin = -0.2
    plotitem.pcolor_cmax = 0.2
    plotitem.add_colorbar = True
    plotitem.amr_celledges_show = [1,1,0]
    plotitem.patchedges_show = 1

    # Land
    plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
    plotitem.plot_var = geoplot.land
    plotitem.pcolor_cmap = geoplot.land_colors
    plotitem.pcolor_cmin = 0.0
    plotitem.pcolor_cmax = 100.0
    plotitem.add_colorbar = False
    plotitem.amr_celledges_show = [1,1,0]
    plotitem.patchedges_show = 1
    plotaxes.xlimits = [-120,-60]
    plotaxes.ylimits = [-60,0]

    #-----------------------------------------
    # Figures for gauges
    #-----------------------------------------
    plotfigure = plotdata.new_plotfigure(name='Surface at gauges', 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 = 'Surface'

    # Plot surface as blue curve:
    plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
    plotitem.plot_var = 3
    plotitem.plotstyle = 'b-'


    def add_zeroline(current_data):
        from pylab import plot, legend, xticks, floor, axis, xlabel
        t = current_data.t 
        gaugeno = current_data.gaugeno

        plot(t, 0*t, 'k')
        n = int(floor(t.max()/3600.) + 2)
        xticks([3600*i for i in range(n)], ['%i' % i for i in range(n)])
#.........这里部分代码省略.........

# 需要导入模块: from clawpack.visclaw.data import ClawPlotData [as 别名]
# 或者: from clawpack.visclaw.data.ClawPlotData import new_plotfigure [as 别名]
def setplot(plotdata=None):
#--------------------------
    
    """ 
    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 clawpack.visclaw import colormaps, geoplot
    from numpy import linspace

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


    plotdata.clearfigures()  # clear any old figures,axes,items data
    plotdata.format = 'ascii'    # 'ascii' or 'binary' to match setrun.py


    # 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)
    

    #-----------------------------------------
    # Figure for surface
    #-----------------------------------------
    plotfigure = plotdata.new_plotfigure(name='Surface', figno=0)

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes('pcolor')
    plotaxes.title = 'Surface'
    plotaxes.scaled = True

    def fixup(current_data):
        import pylab
        addgauges(current_data)
        t = current_data.t
        t = t / 3600.  # hours
        pylab.title('Surface at %4.2f hours' % t, fontsize=20)
        pylab.xticks(fontsize=15)
        pylab.yticks(fontsize=15)
    plotaxes.afteraxes = fixup

    # Water
    plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
    #plotitem.plot_var = geoplot.surface
    plotitem.plot_var = geoplot.surface_or_depth
    plotitem.pcolor_cmap = geoplot.tsunami_colormap
    plotitem.pcolor_cmin = -0.2
    plotitem.pcolor_cmax = 0.2
    plotitem.add_colorbar = True
    plotitem.amr_celledges_show = [0,0,0]
    plotitem.patchedges_show = 1

    # Land
    plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
    plotitem.plot_var = geoplot.land
    plotitem.pcolor_cmap = geoplot.land_colors
    plotitem.pcolor_cmin = 0.0
    plotitem.pcolor_cmax = 100.0
    plotitem.add_colorbar = False
    plotitem.amr_celledges_show = [1,1,0]
    plotitem.patchedges_show = 1
    plotaxes.xlimits = [-120,-60]
    plotaxes.ylimits = [-60,0]

    # add contour lines of bathy if desired:
    plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
    plotitem.show = False
    plotitem.plot_var = geoplot.topo
    plotitem.contour_levels = linspace(-3000,-3000,1)
    plotitem.amr_contour_colors = ['y']  # color on each level
    plotitem.kwargs = {'linestyles':'solid','linewidths':2}
    plotitem.amr_contour_show = [1,0,0]  
    plotitem.celledges_show = 0
    plotitem.patchedges_show = 0


    #-----------------------------------------
    # Figures for gauges
    #-----------------------------------------
    plotfigure = plotdata.new_plotfigure(name='Surface at gauges', 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 = 'Surface'

#.........这里部分代码省略.........

# 需要导入模块: from clawpack.visclaw.data import ClawPlotData [as 别名]
# 或者: from clawpack.visclaw.data.ClawPlotData import new_plotfigure [as 别名]
def setplot(plotdata=None):
#--------------------------
    
    """ 
    Specify what is to be plotted at each frame.
    Input:  plotdata, an instance of pyclaw.plotters.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

    

    # Figure for q[0]
    plotfigure = plotdata.new_plotfigure(name='q[0]', figno=0)

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

    # Set up for item on these axes:
    plotitem = plotaxes.new_plotitem(plot_type='1d')
    plotitem.plot_var = 0
    plotitem.plotstyle = '-'
    plotitem.color = 'b'
    plotitem.show = True       # show on plot?
    

    # Figure for q[1]
    plotfigure = plotdata.new_plotfigure(name='q[1]', figno=1)

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = 'auto'
    plotaxes.ylimits = 'auto'
    plotaxes.title = 'q[1]'

    # Set up for item on these axes:
    plotitem = plotaxes.new_plotitem(plot_type='1d')
    plotitem.plot_var = 1
    plotitem.plotstyle = '-'
    plotitem.color = 'b'
    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.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?
    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 new_plotfigure [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
    plotdata.format = 'binary'      # 'ascii', 'binary', 'netcdf'

    def draw_interface_add_legend(current_data):
        from pylab import plot
        plot([0., 0.], [-1000., 1000.], 'k--')
        try:
            from clawpack.visclaw import legend_tools
            labels = ['Level 1','Level 2', 'Level 3']
            legend_tools.add_legend(labels, colors=['g','b','r'],
                        markers=['^','s','o'], linestyles=['','',''],
                        loc='upper left')
        except:
            pass


    # Figure for q[0]
    plotfigure = plotdata.new_plotfigure(name='Adjoint and Velocity', figno=1)
    plotfigure.kwargs = {'figsize': (8,8)}
    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.axescmd = 'subplot(2,1,1)'   # top figure
    plotaxes.xlimits = 'auto'
    plotaxes.ylimits = [-.5,1.1]
    plotaxes.title = 'Adjoint'
    plotaxes.afteraxes = draw_interface_add_legend

    # Set up for item on these axes:
    plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
    plotitem.plot_var = 0
    plotitem.amr_color = ['g','b','r']
    plotitem.amr_plotstyle = ['^-','s-','o-']
    plotitem.amr_data_show = [1,1,1]
    plotitem.amr_kwargs = [{'markersize':5},{'markersize':4},{'markersize':3}]

    # Figure for q[1]

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.axescmd = 'subplot(2,1,2)'   # bottom figure
    plotaxes.xlimits = 'auto'
    plotaxes.ylimits = [-.5,1.1]
    plotaxes.title = 'Velocity'
    plotaxes.afteraxes = draw_interface_add_legend

    # Set up for item on these axes:
    plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
    plotitem.plot_var = 1
    plotitem.amr_color = ['g','b','r']
    plotitem.amr_plotstyle = ['^-','s-','o-']
    plotitem.amr_data_show = [1,1,1]
    plotitem.amr_kwargs = [{'markersize':5},{'markersize':4},{'markersize':3}]

    
    #-----------------------------------------
    # Figures for gauges
    #-----------------------------------------
    plotfigure = plotdata.new_plotfigure(name='q', figno=300, \
                                         type='each_gauge')
    plotfigure.clf_each_gauge = True
    plotfigure.kwargs = {'figsize': (10,10)}
                                         
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.axescmd = 'subplot(211)'
    plotaxes.xlimits = 'auto'
    plotaxes.ylimits = 'auto'
    plotaxes.title = 'Pressure'
    plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
    plotitem.plot_var = 0
    plotitem.plotstyle = 'b-'

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.axescmd = 'subplot(212)'
    plotaxes.xlimits = 'auto'
    plotaxes.ylimits = 'auto'
    plotaxes.title = 'Velocity'
    plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
    plotitem.plot_var = 1
    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
#.........这里部分代码省略.........