示例#1
0
def setplot(plotdata):
    r"""Setplot function for surge plotting"""


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

    # Load data from output
    claw_data = clawdata.ClawInputData(2)
    claw_data.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'))

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

    # Color limits
    surface_range = 1.0
    speed_range = 1.0
    # speed_range = 1.e-2

    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]
    friction_bounds = [0.01, 0.04]
    vorticity_limits = [-1.e-2, 1.e-2]
    land_bounds = [-10, 50]


    # ==========================================================================
    #   Plot specifications
    # ==========================================================================
    # Limits for plots
    regions = {'Full Domain': {"xlimits": [claw_data.lower[0], claw_data.upper[0]],
                               "ylimits": [claw_data.lower[1], claw_data.upper[1]],
                               "shrink": 1.0,
                               "figsize": [6.4, 4.8]}
               }
    def gauge_location_afteraxes(cd):
        plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.97)
        surge_afteraxes(cd)
        gaugetools.plot_gauge_locations(cd.plotdata, gaugenos='all',
                                        format_string='ko', add_labels=True)

    for (name, region_dict) in regions.items():
        # ========================================================================
        #  Surface Elevations
        # ========================================================================
        plotfigure = plotdata.new_plotfigure(name='Surface - %s' % name)
        plotfigure.show = True

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

        surgeplot.add_surface_elevation(plotaxes, bounds=surface_limits,
                                    shrink=region_dict['shrink'])
        surgeplot.add_land(plotaxes, bounds=land_bounds)

        plotaxes.plotitem_dict['land'].amr_patchedges_show = [1,0,0]
        plotaxes.plotitem_dict['surface'].amr_patchedges_show = [1,0,0]


        # ========================================================================
        #  Water Speed
        # ========================================================================
        plotfigure = plotdata.new_plotfigure(name='Currents - %s' % name)
        plotfigure.show = True

        # Set up for axes in this figure:
        plotaxes = plotfigure.new_plotaxes()
        plotaxes.title = 'Currents'
        plotaxes.scaled = True
        plotaxes.xlimits = region_dict['xlimits']
        plotaxes.ylimits = region_dict['ylimits']
        plotaxes.afteraxes = surge_afteraxes

        surgeplot.add_speed(plotaxes, bounds=speed_limits,
                        shrink=region_dict['shrink'])
        surgeplot.add_land(plotaxes, bounds=land_bounds)



    # ========================================================================
    # Hurricane forcing - Entire Atlantic
    # ========================================================================
    # Friction field
    plotfigure = plotdata.new_plotfigure(name='Friction')
    plotfigure.show = False

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = regions['Full Domain']['xlimits']
    plotaxes.ylimits = regions['Full Domain']['ylimits']
    plotaxes.title = "Manning's N Coefficients"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True

    surgeplot.add_friction(plotaxes,bounds=friction_bounds)

    # Pressure field
    plotfigure = plotdata.new_plotfigure(name='Pressure')
    plotfigure.show = True

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = regions['Full Domain']['xlimits']
    plotaxes.ylimits = regions['Full Domain']['ylimits']
    plotaxes.title = "Pressure Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True

    surgeplot.add_pressure(plotaxes,bounds=pressure_limits)
    surgeplot.add_land(plotaxes, bounds=[-10, 500])

    # Wind field
    plotfigure = plotdata.new_plotfigure(name='Wind Speed')
    plotfigure.show = True

    plotaxes = plotfigure.new_plotaxes()

    plotaxes.xlimits = regions['Full Domain']['xlimits']
    plotaxes.ylimits = regions['Full Domain']['ylimits']
    plotaxes.title = "Wind Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True

    surgeplot.add_wind(plotaxes,bounds=wind_limits,plot_type='imshow')
    surgeplot.add_land(plotaxes, bounds=[-10, 500])
    # ========================================================================
    #  Figures for gauges
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Surface & topo', figno=300, \
                    type='each_gauge')
    plotfigure.show = True
    plotfigure.clf_each_gauge = True

    stations = [('8518750', 'The Battery, NY'),
                ('8516945', 'Kings Point, NY'),
                ('8519483', 'Bergen Point West Reach, NY')]
                #('8531680','Sandy Hook, NY'),
                #('n03020','Narrows,NY')]

    landfall_time = np.datetime64('2012-10-29T23:30')
    begin_date = datetime.datetime(2012, 10, 28)
    end_date = datetime.datetime(2012, 10, 31,)

    def get_actual_water_levels(station_id):
        # Fetch water levels and tide predictions for given station
        date_time, water_level, tide = fetch_noaa_tide_data(station_id,
                begin_date, end_date)

        # Calculate times relative to landfall
        seconds_rel_landfall = (date_time - landfall_time) / np.timedelta64(1, 's')
        # Subtract tide predictions from measured water levels
        water_level -= tide

        return seconds_rel_landfall, water_level

    # def get_actual_current(station_id):
    #     # Fetch currents for given station_name
    #     date_time, water_level, tide, currents = fetch_noaa_tide_data(station_id,
    #             begin_date, end_date)
    #
    #     # calculate times relative to landfall_time
    #     secs_rel_landfall = (date_time - landfall_time) / np.timedelta64(1, 's')
    #     return secs_rel_landfall, currents
    #
    # def calc_currents(cd):
    #     height = cd.q[0,:]
    #     where_zero = np.where(height == 0)[0]
    #     for index in where_zero:
    #         height[index] = 1
    #     vel_magnitude = (cd.q[1,:]/height)**2 + (cd.q[2,:]/height)**2
    #     vel_magnitude = vel_magnitude**0.5
    #     return vel_magnitude

    def gauge_afteraxes(cd):
        station_id, station_name = stations[cd.gaugeno-1]
        seconds_rel_landfall, actual_level = get_actual_water_levels(station_id)

        axes = plt.gca()
        #surgeplot.plot_landfall_gauge(cd.gaugesoln, axes, landfall=landfall)
        axes.plot(seconds_rel_landfall, actual_level, 'g')

        # Fix up plot - in particular fix time labels
        axes.set_title(station_name)
        axes.set_xlabel('Seconds relative to landfall')
        axes.set_ylabel('Surface (m)')
        axes.set_xlim([days2seconds(-2), days2seconds(1)])
        axes.set_ylim([0, 4])
        axes.set_xticks([ days2seconds(-2), days2seconds(-1), 0, days2seconds(1)])
        #axes.set_xticklabels([r"$-3$", r"$-2$", r"$-1$", r"$0$", r"$1$"])
        #axes.grid(True)

    # def current_afterxes(cd):
    #     station_id, station_name = stations[cd.gaugeno-1]
    #     if len(station_id)==6:
    #         seconds_rel_landfall, currents = get_actual_currents(station_id)
    #
    #         axes = plt.gca()
    #         #surgeplot.plot_landfall_gauge(cd.gaugesoln, axes, landfall=landfall)
    #         axes.plot(seconds_rel_landfall, currents, 'g')
    #
    #         # Fix up plot - in particular fix time labels
    #         axes.set_title(station_name)
    #         axes.set_xlabel('Seconds relative to landfall')
    #         axes.set_ylabel('Surface (m)')
    #         axes.set_xlim([days2seconds(-2), days2seconds(1)])
    #         axes.set_xticks([ days2seconds(-2), days2seconds(-1), 0, days2seconds(1)])
    #         #axes.set_xticklabels([r"$-3$", r"$-2$", r"$-1$", r"$0$", r"$1$"])
    #         #axes.grid(True)
    #
    #


    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.afteraxes = gauge_afteraxes

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


    # Speeds

#    plotfigure = plotdata.new_plotfigure(name='Currents', figno=400, \
#                        type='each_gauge')
#    plotfigure.show = True
#    plotfigure.clf_each_gauge = True

#    plotaxes = plotfigure.new_plotaxes()
    #plotaxes.afteraxes = current_afterxes
   # plotaxes.axescmd = 'subplot(122)'
   # try:
   #     plotaxes.xlimits = [amrdata.t0, amrdata.tfinal]
   # except:
   #     pass
   # plotaxes.ylimits = surface_limits
    #plotaxes.title = 'Momenta'
    # plotaxes.afteraxes = surge.gauge_afteraxes

#    plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
#    plotitem.plot_var = calc_currents
#    plotitem.plotstyle = 'r-.'
    #plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
    #plotitem.plot_var = 2
    #plotitem.plotstyle = 'b-'

    #-----------------------------------------

    # 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_gaugenos = 'all'          # list of gauges 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
示例#2
0
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 = 'binary'

    # 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'))

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

    # Color limits
    surface_limits = [physics.sea_level - 5.0, physics.sea_level + 5.0]
    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, 3.0]
    speed_ticks = [0, 1, 2, 3]
    speed_labels = [str(value) for value in speed_ticks]
    wind_limits = [0, 66]
    pressure_limits = [909, 1013]
    friction_bounds = [0.01, 0.04]

    def add_custom_colorbar_ticks_to_axes(axes,
                                          item_name,
                                          ticks,
                                          tick_labels=None):
        """Adjust colorbar ticks and labels"""
        axes.plotitem_dict[item_name].colorbar_ticks = ticks
        axes.plotitem_dict[item_name].colorbar_tick_labels = tick_labels

    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 = {
        "Coast": {
            "xlimits": (clawdata.lower[0], clawdata.upper[0]),
            "ylimits": (clawdata.lower[1], clawdata.upper[1]),
            "figsize": (8, 7.5)
        },
        "Zhapo Station": {
            "xlimits": (111.71666667, 111.91666667),
            "ylimits": (21.48333333, 21.68333333),
            "figsize": (6, 6)
        },
        "Landfall": {
            "xlimits": (112.26, 112.86),
            "ylimits": (21.3, 21.7),
            "figsize": (6, 4)
        },
        "Quarry Bay": {
            "xlimits": (114.11333333, 114.31333333),
            "ylimits": (22.19111111, 22.39111111),
            "figsize": (6, 6)
        }
    }

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

        # 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
        add_custom_colorbar_ticks_to_axes(plotaxes, 'surface', surface_ticks,
                                          surface_labels)

        # 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
        add_custom_colorbar_ticks_to_axes(plotaxes, 'speed', speed_ticks,
                                          speed_labels)

    #  Hurricane Forcing fields
    #
    # Pressure field
    plotfigure = plotdata.new_plotfigure(name='Pressure')
    plotfigure.show = surge_data.pressure_forcing and True

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = regions['Coast']['xlimits']
    plotaxes.ylimits = regions['Coast']['ylimits']
    plotaxes.title = "Pressure Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    surgeplot.add_pressure(plotaxes, bounds=pressure_limits)
    surgeplot.add_land(plotaxes)

    # Wind field
    plotfigure = plotdata.new_plotfigure(name='Wind Speed')
    plotfigure.show = surge_data.wind_forcing and True

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = regions['Coast']['xlimits']
    plotaxes.ylimits = regions['Coast']['ylimits']
    plotaxes.title = "Wind Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    surgeplot.add_wind(plotaxes, bounds=wind_limits)
    surgeplot.add_land(plotaxes)

    # ========================================================================
    #  Figures for gauges
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Gauge Surfaces',
                                         figno=300,
                                         type='each_gauge')
    plotfigure.show = True
    plotfigure.clf_each_gauge = True

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = [-2.25, 0.75]
    #plotaxes.xlabel = "Days from landfall"
    #plotaxes.ylabel = "Surface (m)"
    plotaxes.ylimits = [-1, 4]
    plotaxes.title = 'Surface'

    def gauge_afteraxes(cd):

        axes = plt.gca()
        surgeplot.plot_landfall_gauge(cd.gaugesoln, axes)

        # Fix up plot - in particular fix time labels
        axes.set_title('Station %s' % cd.gaugeno)
        axes.set_xlabel('Days relative to landfall')
        axes.set_ylabel('Surface (m)')
        axes.set_xlim([-2.25, 0.75])
        axes.set_ylim([-1, 4])
        axes.set_xticks([-2.25, -1.25, -0.25, 0.75])
        axes.set_xticklabels([r"$-2.25$", r"$-1.25$", r"$-0.25$", r"$0.75$"])
        axes.grid(True)

    plotaxes.afteraxes = gauge_afteraxes

    # Plot surface as blue curve:
    plotitem = plotaxes.new_plotitem(plot_type='1d_plot')

    #plotitem.plot_var = 3
    #plotitem.plotstyle = 'b-'

    #
    #  Gauge Location Plot
    #
    def gauge_location_afteraxes(cd):
        #plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.97)
        plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.92)
        surge_afteraxes(cd)
        gaugetools.plot_gauge_locations(cd.plotdata,
                                        gaugenos='all',
                                        format_string='ko',
                                        add_labels=True)

    plotfigure = plotdata.new_plotfigure(name="Gauge Locations")
    plotfigure.show = True

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Gauge Locations'
    plotaxes.scaled = True
    plotaxes.xlimits = [111.0, 115.0]
    plotaxes.ylimits = [21.0, 22.5]
    plotaxes.afteraxes = gauge_location_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

    # -----------------------------------------
    # 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_gaugenos = [1, 2]  # list of gauges 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?
    plotdata.parallel = True  # parallel plotting

    return plotdata
示例#3
0
def setplot(plotdata):
    r"""Setplot function for surge plotting"""


    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 = surgedata.SurgeData()
    surge_data.read(os.path.join(plotdata.outdir,'surge.data'))

    friction_data = surgedata.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

    # 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]

    speed_limits = [0.0,speed_range]
    speed_contours = numpy.linspace(0.0,speed_range,13)

    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]

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

    #-----------------------------------------
    # Some global kml flags
    #-----------------------------------------
    plotdata.kml_name = "Ike"
    plotdata.kml_starttime = [2008,9,3,15,0,0]  # Time of event in UTC [None]
    plotdata.kml_tz_offset = 5    # Time zone offset (in hours) of event. [None]

    plotdata.kml_index_fname = "Ike"  # name for .kmz and .kml files ["_GoogleEarth"]

    # Set to path where KMZ files will be stored;   KML file will then
    # link to this path.
    # plotdata.kml_publish = 'http://www.domain.edu/path/to/kmz/files'

    # ========================================================================
    #  Entire Gulf
    # ========================================================================
    gulf_xlimits = [clawdata.lower[0],clawdata.upper[0]]
    gulf_ylimits = [clawdata.lower[1],clawdata.upper[1]]
    gulf_shrink = 1.0

    # --------------------------
    #  Surface - entire gulf
    # --------------------------

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

    plotfigure.use_for_kml = True
    plotfigure.kml_use_for_initial_view = True

    # These override axes limits set below in plotitems
    plotfigure.kml_xlimits = gulf_xlimits
    plotfigure.kml_ylimits = gulf_ylimits

    # Resolution - needs to be set carefully for the transparent colormap
    rcl = 40
    plotfigure.kml_dpi = rcl*2
    plotfigure.kml_figsize = [11.6, 9.6]
    plotfigure.kml_tile_images = False    # Tile images for faster loading.  Requires GDAL [False]

    plotaxes = plotfigure.new_plotaxes()
    plotitem = plotaxes.new_plotitem(name='surface',plot_type='2d_pcolor')
    plotitem.plot_var = geoplot.surface_or_depth
    plotitem.pcolor_cmap = geoplot.googleearth_transparent
    plotitem.pcolor_cmin = -surface_range
    plotitem.pcolor_cmax = surface_range


    def kml_colorbar(filename):
        cmin = -surface_range
        cmax = surface_range
        geoplot.kml_build_colorbar(filename,
                                   geoplot.googleearth_transparent,
                                   cmin,cmax)

    plotfigure.kml_colorbar = kml_colorbar


    # --------------------------
    #  Water Speed - entire gulf
    # --------------------------
    plotfigure = plotdata.new_plotfigure(name='Currents - Entire Domain',
                                         figno=1)
    plotfigure.show = True

    plotfigure.use_for_kml = True
    plotfigure.kml_use_for_initial_view = False

    # These override axes limits set below in plotitems
    plotfigure.kml_xlimits = gulf_xlimits
    plotfigure.kml_ylimits = gulf_ylimits
    plotfigure.kml_figsize = [11.6,9.6]
    plotfigure.kml_dpi = 80   # size not so important with contourf
    plotfigure.kml_tile_images = False    # Tile images for faster loading.  Requires GDAL [False]

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()

    plotitem = plotaxes.new_plotitem(name='surface', plot_type='2d_contourf')
    plotitem.plot_var = geoplot.surface_or_depth
    plotitem.contour_levels = speed_contours
    plotitem.fill_cmin = min(speed_contours)
    plotitem.fill_cmax = max(speed_contours)

    cmap= plt.get_cmap('OrRd')
    cmap._rgba_under = (0.0,0.0,0.0,0.0)
    plotitem.fill_cmap = cmap

    def cbar_speeds(filename):
        cmin = min(speed_contours)
        cmax = max(speed_contours)
        geoplot.kml_build_colorbar(filename,cmap,cmin,cmax)

    plotfigure.kml_colorbar = cbar_speeds


    # ========================================================================
    #  Houston/Galveston
    # ========================================================================
    houston_xlimits = [-(95.0 + 26.0 / 60.0), -(94.0 + 25.0 / 60.0)]
    houston_ylimits = [29.1, 29.0 + 55.0 / 60.0]
    houston_shrink = 0.9

    #No need to worry about fitting the plot exactly if we are not using
    # the transparent colormap with pcolor.
    #num_cells = [116, 96]
    #dx = (gulf_xlimits[1] - float(gulf_xlimits[0]))/num_cells[0]   # = 0.25
    #dy = (gulf_ylimits[1] - float(gulf_ylimits[0]))/num_cells[1]   # = 0.25
    #houston_xlimits = [gulf_xlimits[0] + 14*dx, gulf_xlimits[0] + 21*dx]  # [-95.25, -94.5]
    #houston_ylimits = [gulf_ylimits[0] + 82*dy, gulf_ylimits[0] + 88*dy]  # [-95.25, -94.5]
    #figsize = [(21-14)*dx,(88-82)*dy]  # relative to [11.6, 9.6] occupied by larger grid

    figsize = [houston_xlimits[1]-houston_xlimits[0],houston_ylimits[1]-houston_ylimits[0]]
    dpi = 400

    # --------------------------------------
    # Surface Elevations - Houston/Galveston
    # --------------------------------------
    plotfigure = plotdata.new_plotfigure(name='Surface - Houston/Galveston',
                                         figno=2)
    plotfigure.show = True
    plotfigure.use_for_kml = True

    plotfigure.kml_xlimits = houston_xlimits
    plotfigure.kml_ylimits = houston_ylimits
    plotfigure.kml_dpi = dpi     # data is not more resolve than this
    plotfigure.kml_figsize = figsize
    plotfigure.kml_tile_images = False

    # pcolor for water.
    plotaxes = plotfigure.new_plotaxes()
    plotitem = plotaxes.new_plotitem(name='surface',plot_type='2d_contourf')
    plotitem.contour_levels = surface_contours
    plotitem.fill_cmin = min(surface_contours)
    plotitem.fill_cmax = max(surface_contours)

    # what is the colormap used here?
    #plotfigure.kml_colorbar = cbar_houston


    # --------------------------------
    # Water Speed - Houston/Galveston
    # --------------------------------
    plotfigure = plotdata.new_plotfigure(name='Currents - Houston/Galveston',
                                         figno=3)
    plotfigure.show = True
    plotfigure.use_for_kml = True

    # These override axes limits set below in plotitems
    plotfigure.kml_xlimits = houston_xlimits
    plotfigure.kml_ylimits = houston_ylimits
    plotfigure.kml_figsize = figsize
    plotfigure.kml_dpi = dpi     # data is not more resolve than this
    plotfigure.kml_tile_images = False  # Tile images for faster loading.  Requires GDAL [False]

    # Water
    plotaxes = plotfigure.new_plotaxes()
    plotitem = plotaxes.new_plotitem(name='surface', plot_type='2d_contourf')
    plotitem.plot_var = geoplot.surface_or_depth
    plotitem.contour_levels = speed_contours
    plotitem.fill_cmin = min(speed_contours)
    plotitem.fill_cmax = max(speed_contours)

    cmap= plt.get_cmap('OrRd')
    cmap._rgba_under = (0.0,0.0,0.0,0.0)
    plotitem.fill_cmap = cmap

    # ========================================================================
    #  Figures for gauges
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Surface & topo', figno=300, \
                    type='each_gauge')
    plotfigure.show = True
    plotfigure.clf_each_gauge = True
    # plotfigure.kwargs['figsize'] = (16,10)

    def gauge_after_axes(cd):

        if cd.gaugeno in [1,2,3,4]:
            axes = plt.gca()
            # # Add Kennedy gauge data
            # kennedy_gauge = kennedy_gauges[gauge_name_trans[cd.gaugeno]]
            # axes.plot(kennedy_gauge['t'] - seconds2days(date2seconds(gauge_landfall[0])),
            #          kennedy_gauge['mean_water'] + kennedy_gauge['depth'], 'k-',
            #          label='Gauge Data')

            # Add GeoClaw gauge data
            geoclaw_gauge = cd.gaugesoln
            axes.plot(seconds2days(geoclaw_gauge.t - date2seconds(gauge_landfall[1])),
                  geoclaw_gauge.q[3,:] + gauge_surface_offset[0], 'b--',
                  label="GeoClaw")

            # Add ADCIRC gauge data
            # ADCIRC_gauge = ADCIRC_gauges[kennedy_gauge['gauge_no']]
            # axes.plot(seconds2days(ADCIRC_gauge[:,0] - gauge_landfall[2]),
            #          ADCIRC_gauge[:,1] + gauge_surface_offset[1], 'r-.', label="ADCIRC")

            # Fix up plot
            axes.set_title('Station %s' % cd.gaugeno)
            axes.set_xlabel('Days relative to landfall')
            axes.set_ylabel('Surface (m)')
            axes.set_xlim([-2,1])
            axes.set_ylim([-1,5])
            axes.set_xticks([-2,-1,0,1])
            axes.set_xticklabels([r"$-2$",r"$-1$",r"$0$",r"$1$"])
            axes.grid(True)
            axes.legend()

            plt.hold(False)

        surgeplot.gauge_afteraxes(cd)


    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = [-2,1]
    #plotaxes.xlabel = "Days from landfall"
    #plotaxes.ylabel = "Surface (m)"
    plotaxes.ylimits = [-1,5]
    plotaxes.title = 'Surface'
    plotaxes.afteraxes = gauge_after_axes

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

    #-----------------------------------------

    # 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_gaugenos = 'all'          # list of gauges to print
    plotdata.print_fignos = [0,1,2,3]            # list of figures to print
    plotdata.html_homelink = '../README.html'   # pointer for top of index
    plotdata.latex_figsperline = 2           # layout of plots
    plotdata.latex_framesperline = 1         # layout of plots
    plotdata.latex_makepdf = False           # also run pdflatex?

    plotdata.html = False                     # create html files of plots?
    plotdata.latex = False                    # create latex file of plots?
    plotdata.kml = True

    return plotdata
示例#4
0
def setplot(plotdata):
    r"""Setplot function for surge plotting"""
    

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

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

    # Load storm track
    track = surge.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: surge.surge_afteraxes(cd, 
                                        track, landfall, plot_direction=False)

    # Limits for plots
    full_xlimits = [amrdata.lower[0],amrdata.upper[0]]
    full_ylimits = [amrdata.lower[1],amrdata.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)
        surge.gauge_locations(current_data)
        
    def contour_afteraxes(current_data):
        surge_afteraxes(current_data)
        
    def bathy_ref_lines(current_data):
        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 Ocean
    # ========================================================================
    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
    
    surge.add_surface_elevation(plotaxes,bounds=surface_limits)
    surge.add_land(plotaxes)


    # ========================================================================
    #  Water Speed - Entire Gulf
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='speed', figno=1)
    plotfigure.show = True

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

    # Speed
    surge.add_speed(plotaxes,bounds=speed_limits)

    # Land
    surge.add_land(plotaxes)


    # ========================================================================
    # Hurricane forcing - Entire gulf
    # ========================================================================
    # Pressure field
    plotfigure = plotdata.new_plotfigure(name='Pressure', figno=2)
    plotfigure.show = surge_data.pressure_forcing
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = full_xlimits
    plotaxes.ylimits = full_ylimits
    plotaxes.title = "Pressure Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    
    surge.add_pressure(plotaxes,bounds=pressure_limits)
    # add_pressure(plotaxes)
    surge.add_land(plotaxes)
    
    # Wind field
    plotfigure = plotdata.new_plotfigure(name='Wind Speed',figno=4)
    plotfigure.show = surge_data.wind_forcing
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = full_xlimits
    plotaxes.ylimits = full_ylimits
    plotaxes.title = "Wind Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    
    surge.add_wind(plotaxes,bounds=wind_limits,plot_type='imshow')
    # add_wind(plotaxes,bounds=wind_limits,plot_type='contour')
    # add_wind(plotaxes,bounds=wind_limits,plot_type='quiver')
    surge.add_land(plotaxes)
    
    # Wind field components
    plotfigure = plotdata.new_plotfigure(name='Wind Components',figno=5)
    plotfigure.show = surge_data.wind_forcing
    plotfigure.kwargs = {'figsize':(16,6)}
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.axescmd = "subplot(121)"
    plotaxes.xlimits = full_xlimits
    plotaxes.ylimits = full_ylimits
    plotaxes.title = "X-Component of Wind Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True

    plotitem = plotaxes.new_plotitem(plot_type='2d_imshow')
    plotitem.plot_var = surge.wind_x
    plotitem.imshow_cmap = colormaps.make_colormap({1.0:'r',0.5:'w',0.0:'b'})
    plotitem.imshow_cmin = -wind_limits[1]
    plotitem.imshow_cmax = wind_limits[1]
    plotitem.add_colorbar = True
    plotitem.amr_celledges_show = [0,0,0]
    plotitem.amr_patchedges_show = [1,1,1]
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.axescmd = "subplot(122)"
    plotaxes.xlimits = full_xlimits
    plotaxes.ylimits = full_ylimits
    plotaxes.title = "Y-Component of Wind Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True

    plotitem = plotaxes.new_plotitem(plot_type='2d_imshow')
    plotitem.plot_var = surge.wind_y
    plotitem.imshow_cmap = colormaps.make_colormap({1.0:'r',0.5:'w',0.0:'b'})
    plotitem.imshow_cmin = -wind_limits[1]
    plotitem.imshow_cmax = wind_limits[1]
    plotitem.add_colorbar = True
    plotitem.amr_celledges_show = [0,0,0]
    plotitem.amr_patchedges_show = [1,1,1]

    # ========================================================================
    #  Figures for gauges
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Surface & topo', figno=300, \
                    type='each_gauge')
    plotfigure.show = True
    plotfigure.clf_each_gauge = True

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    # plotaxes.xlimits = [0.0,amrdata.tfinal]
    # plotaxes.ylimits = [0,150.0]
    plotaxes.ylimits = surface_limits
    plotaxes.title = 'Surface'
    plotaxes.afteraxes = surge.gauge_afteraxes

    # Plot surface as blue curve:
    plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
    plotitem.plot_var = 3
    plotitem.plotstyle = 'r-'
    
    # =================
    #  Plot bathymetry
    # =================
    plotfigure = plotdata.new_plotfigure(name='Bathymetry', figno=301)
    plotfigure.show = True

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = full_xlimits
    plotaxes.ylimits = full_ylimits
    plotaxes.title = "Bathymetry"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True

    plotitem = plotaxes.new_plotitem(plot_type="2d_pcolor")
    plotitem.plot_var = geoplot.topo
    # plotitem.pcolor_cmap = geoplot.seafloor_colormap
    plotitem.pcolor_cmin = topo_data.basin_depth
    plotitem.pcolor_cmax = 300.0
    plotitem.add_colorbar = True

    surge.add_land(plotaxes)


    #-----------------------------------------
    # Figures for gauges
    #-----------------------------------------
    # plotfigure = plotdata.new_plotfigure(name='Surface & topo', 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-'
    # 
    # # Plot topo as green curve:
    # plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
    # plotitem.show = False
    # 
    # def gaugetopo(current_data):
    #     q = current_data.q
    #     h = q[0,:]
    #     eta = q[3,:]
    #     topo = eta - h
    #     return topo
    #     
    # plotitem.plot_var = gaugetopo
    # plotitem.plotstyle = 'g-'
    # 
    # def add_zeroline(current_data):
    #     from pylab import plot, legend, xticks, floor
    #     t = current_data.t
    #     #legend(('surface','topography'),loc='lower left')
    #     plot(t, 0*t, 'k')
    #     n = int(floor(t.max()/3600.) + 2)
    #     xticks([3600*i for i in range(n)])
    # 
    # plotaxes.afteraxes = add_zeroline


    #-----------------------------------------
    
    # 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_framenos = [45,46,47,48]
    plotdata.print_gaugenos = 'all'          # list of gauges 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
示例#5
0
文件: setplot.py 项目: erdc-cm/apps
def setplot(plotdata):
    r"""Setplot function for surge plotting"""
    

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

    fig_num_counter = surge.plot.figure_counter()

    # Load data from output
    physics = clawpack.geoclaw.data.GeoClawData()
    physics.read(os.path.join(plotdata.outdir,'geoclaw.data'))
    surge_data = clawpack.geoclaw.surge.data.SurgeData()
    surge_data.read(os.path.join(plotdata.outdir,'surge.data'))
    friction_data = clawpack.geoclaw.surge.data.FrictionData()
    friction_data.read(os.path.join(plotdata.outdir,'friction.data'))

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

    # Calculate landfall time, off by a day, maybe leap year issue?
    landfall_dt = datetime.datetime(2005,8,29,6) - datetime.datetime(2005,1,1,0)
    landfall = (landfall_dt.days - 1.0) * 24.0 * 60**2 + landfall_dt.seconds

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

    # Limits for plots
    full_xlimits = [-99.0,-50.0]
    full_ylimits = [8.0,32.0]
    full_shrink = 0.5

    # Color limits
    surface_range = 5.0
    speed_range = 3.0

    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 = [0,40]
    # wind_limits = [-0.002,0.002]
    pressure_limits = [966,1013]
    friction_bounds = [0.01,0.04]
    # vorticity_limits = [-1.e-2,1.e-2]

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

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

    # ========================================================================
    #  Surface Elevations - Entire Gulf
    # ========================================================================
    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 = xlimits
    plotaxes.ylimits = ylimits
    plotaxes.afteraxes = surge_afteraxes

    surge.add_surface_elevation(plotaxes,bounds=surface_limits,shrink=full_shrink)
    surge.add_land(plotaxes,topo_min=-10.0,topo_max=5.0)
    surge.add_bathy_contours(plotaxes)


    # ========================================================================
    #  Water Speed - Entire Gulf
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Currents - Entire Domain',  
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = True

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

    # Speed
    surge.add_speed(plotaxes,bounds=speed_limits,shrink=full_shrink)

    # Land
    surge.add_land(plotaxes)
    surge.add_bathy_contours(plotaxes)    

    # ========================================================================
    # Hurricane forcing - Entire gulf
    # ========================================================================
    # Friction field
    plotfigure = plotdata.new_plotfigure(name='Friction',
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = friction_data.variable_friction and False

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = full_xlimits
    plotaxes.ylimits = full_ylimits
    plotaxes.title = "Manning's N Coefficients"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True

    surge.add_friction(plotaxes,bounds=friction_bounds)

    # Pressure field
    plotfigure = plotdata.new_plotfigure(name='Pressure',  
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = surge_data.pressure_forcing and True
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = full_xlimits
    plotaxes.ylimits = full_ylimits
    plotaxes.title = "Pressure Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    
    surge.add_pressure(plotaxes,bounds=pressure_limits)
    # add_pressure(plotaxes)
    surge.add_land(plotaxes)
    
    # Wind field
    plotfigure = plotdata.new_plotfigure(name='Wind Speed', 
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = surge_data.wind_forcing and True
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = full_xlimits
    plotaxes.ylimits = full_ylimits
    plotaxes.title = "Wind Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    
    surge.add_wind(plotaxes,bounds=wind_limits,plot_type='imshow')
    # add_wind(plotaxes,bounds=wind_limits,plot_type='contour')
    # add_wind(plotaxes,bounds=wind_limits,plot_type='quiver')
    surge.add_land(plotaxes)
    
    # Surge field
    plotfigure = plotdata.new_plotfigure(name='Surge Field', 
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = ((surge_data.wind_forcing or surge_data.pressure_forcing) 
                        and True)
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = full_xlimits
    plotaxes.ylimits = full_ylimits
    plotaxes.title = "Storm Surge Source Term S"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    
    plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
    plotitem.plot_var = surge.pressure_field + 1
    plotitem.pcolor_cmap = plt.get_cmap('PuBu')
    plotitem.pcolor_cmin = 0.0
    plotitem.pcolor_cmax = 1e-3
    plotitem.add_colorbar = True
    plotitem.colorbar_shrink = 0.5
    plotitem.colorbar_label = "Source Strength"
    plotitem.amr_celledges_show = [0,0,0]
    plotitem.amr_patchedges_show = [1,1,1,1,1,0,0]
    
    surge.add_land(plotaxes)

    plotfigure = plotdata.new_plotfigure(name='Friction/Coriolis Source', 
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = True
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = full_xlimits
    plotaxes.ylimits = full_ylimits
    plotaxes.title = "Friction/Coriolis Source"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    
    plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
    plotitem.plot_var = surge.pressure_field + 2
    plotitem.pcolor_cmap = plt.get_cmap('PuBu')
    plotitem.pcolor_cmin = 0.0
    plotitem.pcolor_cmax = 1e-3
    plotitem.add_colorbar = True
    plotitem.colorbar_shrink = 0.5
    plotitem.colorbar_label = "Source Strength"
    plotitem.amr_celledges_show = [0,0,0]
    plotitem.amr_patchedges_show = [1,1,1,1,1,0,0]
    
    surge.add_land(plotaxes)

    # ========================================================================
    #  Figures for gauges
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Surface & topo', figno=300, \
                    type='each_gauge')
    plotfigure.show = True
    plotfigure.clf_each_gauge = True

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    # try:
        # plotaxes.xlimits = [amrdata.t0,amrdata.tfinal]
    # except:
        # pass
    # plotaxes.ylimits = [0,150.0]
    plotaxes.ylimits = 'auto'
    plotaxes.title = 'Surface'
    plotaxes.afteraxes = surge.gauge_afteraxes

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

    # ========================================================================
    #  Water Velocity Components - Entire Gulf
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Velocity Components - Entire Domain',  
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = False

    # X-Component
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.axescmd = "subplot(121)"
    plotaxes.title = 'Velocity, X-Component'
    plotaxes.scaled = True
    plotaxes.xlimits = xlimits
    plotaxes.ylimits = ylimits
    plotaxes.afteraxes = surge_afteraxes

    plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
    plotitem.plot_var = surge.water_u
    plotitem.pcolor_cmap = colormaps.make_colormap({1.0:'r',0.5:'w',0.0:'b'})
    plotitem.pcolor_cmin = -speed_limits[1]
    plotitem.pcolor_cmax = speed_limits[1]
    plotitem.add_colorbar = True
    plotitem.amr_celledges_show = [0,0,0]
    plotitem.amr_patchedges_show = [1,1,1]

    surge.add_land(plotaxes)

    # Y-Component
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.axescmd = "subplot(122)"
    plotaxes.title = 'Velocity, Y-Component'
    plotaxes.scaled = True
    plotaxes.xlimits = xlimits
    plotaxes.ylimits = ylimits
    plotaxes.afteraxes = surge_afteraxes

    plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
    plotitem.plot_var = surge.water_v
    plotitem.pcolor_cmap = colormaps.make_colormap({1.0:'r',0.5:'w',0.0:'b'})
    plotitem.pcolor_cmin = -speed_limits[1]
    plotitem.pcolor_cmax = speed_limits[1]
    plotitem.add_colorbar = True
    plotitem.amr_celledges_show = [0,0,0]
    plotitem.amr_patchedges_show = [1,1,1]
    
    surge.add_land(plotaxes)

    # ==========================================================================
    #  Depth
    # ==========================================================================
    plotfigure = plotdata.new_plotfigure(name='Depth - Entire Domain', 
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = False

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

    plotitem = plotaxes.new_plotitem(plot_type='2d_imshow')
    plotitem.plot_var = 0
    plotitem.imshow_cmap = colormaps.make_colormap({1.0:'r',0.5:'w',0.0:'b'})
    plotitem.imshow_cmin = 0
    plotitem.imshow_cmax = 100
    plotitem.add_colorbar = True
    plotitem.amr_celledges_show = [0,0,0]
    plotitem.amr_patchedges_show = [1,1,1,1,1,1,1,1,1]


    #-----------------------------------------
    
    # 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_gaugenos = 'all'          # list of gauges 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
示例#6
0
def setplot(plotdata):
    r"""Setplot function for surge plotting"""

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

    # 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 = surgedata.SurgeData()
    surge_data.read(os.path.join(plotdata.outdir, 'surge.data'))

    friction_data = surgedata.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

    # 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
    ]

    speed_limits = [0.0, speed_range]
    speed_contours = numpy.linspace(0.0, speed_range, 13)

    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]

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

    #-----------------------------------------
    # Some global kml flags
    #-----------------------------------------
    plotdata.kml_name = "Ike"
    plotdata.kml_starttime = [2008, 9, 3, 15, 0,
                              0]  # Time of event in UTC [None]
    plotdata.kml_tz_offset = 5  # Time zone offset (in hours) of event. [None]

    plotdata.kml_index_fname = "Ike"  # name for .kmz and .kml files ["_GoogleEarth"]

    # Set to path where KMZ files will be stored;   KML file will then
    # link to this path.
    # plotdata.kml_publish = 'http://www.domain.edu/path/to/kmz/files'

    # ========================================================================
    #  Entire Gulf
    # ========================================================================
    gulf_xlimits = [clawdata.lower[0], clawdata.upper[0]]
    gulf_ylimits = [clawdata.lower[1], clawdata.upper[1]]
    gulf_shrink = 1.0

    # --------------------------
    #  Surface - entire gulf
    # --------------------------

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

    plotfigure.use_for_kml = True
    plotfigure.kml_use_for_initial_view = True

    # These override axes limits set below in plotitems
    plotfigure.kml_xlimits = gulf_xlimits
    plotfigure.kml_ylimits = gulf_ylimits

    # Resolution - needs to be set carefully for the transparent colormap
    rcl = 40
    plotfigure.kml_dpi = rcl * 2
    plotfigure.kml_figsize = [11.6, 9.6]
    plotfigure.kml_tile_images = False  # Tile images for faster loading.  Requires GDAL [False]

    plotaxes = plotfigure.new_plotaxes()
    plotitem = plotaxes.new_plotitem(name='surface', plot_type='2d_pcolor')
    plotitem.plot_var = geoplot.surface_or_depth
    plotitem.pcolor_cmap = geoplot.googleearth_transparent
    plotitem.pcolor_cmin = -surface_range
    plotitem.pcolor_cmax = surface_range

    def kml_colorbar(filename):
        cmin = -surface_range
        cmax = surface_range
        geoplot.kml_build_colorbar(filename, geoplot.googleearth_transparent,
                                   cmin, cmax)

    plotfigure.kml_colorbar = kml_colorbar

    # --------------------------
    #  Water Speed - entire gulf
    # --------------------------
    plotfigure = plotdata.new_plotfigure(name='Currents - Entire Domain',
                                         figno=1)
    plotfigure.show = True

    plotfigure.use_for_kml = True
    plotfigure.kml_use_for_initial_view = False

    # These override axes limits set below in plotitems
    plotfigure.kml_xlimits = gulf_xlimits
    plotfigure.kml_ylimits = gulf_ylimits
    plotfigure.kml_figsize = [11.6, 9.6]
    plotfigure.kml_dpi = 80  # size not so important with contourf
    plotfigure.kml_tile_images = False  # Tile images for faster loading.  Requires GDAL [False]

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()

    plotitem = plotaxes.new_plotitem(name='surface', plot_type='2d_contourf')
    plotitem.plot_var = geoplot.surface_or_depth
    plotitem.contour_levels = speed_contours
    plotitem.fill_cmin = min(speed_contours)
    plotitem.fill_cmax = max(speed_contours)

    cmap = plt.get_cmap('OrRd')
    cmap._rgba_under = (0.0, 0.0, 0.0, 0.0)
    plotitem.fill_cmap = cmap

    def cbar_speeds(filename):
        cmin = min(speed_contours)
        cmax = max(speed_contours)
        geoplot.kml_build_colorbar(filename, cmap, cmin, cmax)

    plotfigure.kml_colorbar = cbar_speeds

    # ========================================================================
    #  Houston/Galveston
    # ========================================================================
    houston_xlimits = [-(95.0 + 26.0 / 60.0), -(94.0 + 25.0 / 60.0)]
    houston_ylimits = [29.1, 29.0 + 55.0 / 60.0]
    houston_shrink = 0.9

    #No need to worry about fitting the plot exactly if we are not using
    # the transparent colormap with pcolor.
    #num_cells = [116, 96]
    #dx = (gulf_xlimits[1] - float(gulf_xlimits[0]))/num_cells[0]   # = 0.25
    #dy = (gulf_ylimits[1] - float(gulf_ylimits[0]))/num_cells[1]   # = 0.25
    #houston_xlimits = [gulf_xlimits[0] + 14*dx, gulf_xlimits[0] + 21*dx]  # [-95.25, -94.5]
    #houston_ylimits = [gulf_ylimits[0] + 82*dy, gulf_ylimits[0] + 88*dy]  # [-95.25, -94.5]
    #figsize = [(21-14)*dx,(88-82)*dy]  # relative to [11.6, 9.6] occupied by larger grid

    figsize = [
        houston_xlimits[1] - houston_xlimits[0],
        houston_ylimits[1] - houston_ylimits[0]
    ]
    dpi = 400

    # --------------------------------------
    # Surface Elevations - Houston/Galveston
    # --------------------------------------
    plotfigure = plotdata.new_plotfigure(name='Surface - Houston/Galveston',
                                         figno=2)
    plotfigure.show = True
    plotfigure.use_for_kml = True

    plotfigure.kml_xlimits = houston_xlimits
    plotfigure.kml_ylimits = houston_ylimits
    plotfigure.kml_dpi = dpi  # data is not more resolve than this
    plotfigure.kml_figsize = figsize
    plotfigure.kml_tile_images = False

    # pcolor for water.
    plotaxes = plotfigure.new_plotaxes()
    plotitem = plotaxes.new_plotitem(name='surface', plot_type='2d_contourf')
    plotitem.contour_levels = surface_contours
    plotitem.fill_cmin = min(surface_contours)
    plotitem.fill_cmax = max(surface_contours)

    # what is the colormap used here?
    #plotfigure.kml_colorbar = cbar_houston

    # --------------------------------
    # Water Speed - Houston/Galveston
    # --------------------------------
    plotfigure = plotdata.new_plotfigure(name='Currents - Houston/Galveston',
                                         figno=3)
    plotfigure.show = True
    plotfigure.use_for_kml = True

    # These override axes limits set below in plotitems
    plotfigure.kml_xlimits = houston_xlimits
    plotfigure.kml_ylimits = houston_ylimits
    plotfigure.kml_figsize = figsize
    plotfigure.kml_dpi = dpi  # data is not more resolve than this
    plotfigure.kml_tile_images = False  # Tile images for faster loading.  Requires GDAL [False]

    # Water
    plotaxes = plotfigure.new_plotaxes()
    plotitem = plotaxes.new_plotitem(name='surface', plot_type='2d_contourf')
    plotitem.plot_var = geoplot.surface_or_depth
    plotitem.contour_levels = speed_contours
    plotitem.fill_cmin = min(speed_contours)
    plotitem.fill_cmax = max(speed_contours)

    cmap = plt.get_cmap('OrRd')
    cmap._rgba_under = (0.0, 0.0, 0.0, 0.0)
    plotitem.fill_cmap = cmap

    # ========================================================================
    #  Figures for gauges
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Surface & topo', figno=300, \
                    type='each_gauge')
    plotfigure.show = True
    plotfigure.clf_each_gauge = True

    # plotfigure.kwargs['figsize'] = (16,10)

    def gauge_after_axes(cd):

        if cd.gaugeno in [1, 2, 3, 4]:
            axes = plt.gca()
            # # Add Kennedy gauge data
            # kennedy_gauge = kennedy_gauges[gauge_name_trans[cd.gaugeno]]
            # axes.plot(kennedy_gauge['t'] - seconds2days(date2seconds(gauge_landfall[0])),
            #          kennedy_gauge['mean_water'] + kennedy_gauge['depth'], 'k-',
            #          label='Gauge Data')

            # Add GeoClaw gauge data
            geoclaw_gauge = cd.gaugesoln
            axes.plot(seconds2days(geoclaw_gauge.t -
                                   date2seconds(gauge_landfall[1])),
                      geoclaw_gauge.q[3, :] + gauge_surface_offset[0],
                      'b--',
                      label="GeoClaw")

            # Add ADCIRC gauge data
            # ADCIRC_gauge = ADCIRC_gauges[kennedy_gauge['gauge_no']]
            # axes.plot(seconds2days(ADCIRC_gauge[:,0] - gauge_landfall[2]),
            #          ADCIRC_gauge[:,1] + gauge_surface_offset[1], 'r-.', label="ADCIRC")

            # Fix up plot
            axes.set_title('Station %s' % cd.gaugeno)
            axes.set_xlabel('Days relative to landfall')
            axes.set_ylabel('Surface (m)')
            axes.set_xlim([-2, 1])
            axes.set_ylim([-1, 5])
            axes.set_xticks([-2, -1, 0, 1])
            axes.set_xticklabels([r"$-2$", r"$-1$", r"$0$", r"$1$"])
            axes.grid(True)
            axes.legend()

            plt.hold(False)

        surgeplot.gauge_afteraxes(cd)

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = [-2, 1]
    #plotaxes.xlabel = "Days from landfall"
    #plotaxes.ylabel = "Surface (m)"
    plotaxes.ylimits = [-1, 5]
    plotaxes.title = 'Surface'
    plotaxes.afteraxes = gauge_after_axes

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

    #-----------------------------------------

    # 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_gaugenos = 'all'  # list of gauges to print
    plotdata.print_fignos = [0, 1, 2, 3]  # list of figures to print
    plotdata.html_homelink = '../README.html'  # pointer for top of index
    plotdata.latex_figsperline = 2  # layout of plots
    plotdata.latex_framesperline = 1  # layout of plots
    plotdata.latex_makepdf = False  # also run pdflatex?

    plotdata.html = False  # create html files of plots?
    plotdata.latex = False  # create latex file of plots?
    plotdata.kml = True

    return plotdata
示例#7
0
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

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = regions['Gulf']['xlimits']
    plotaxes.ylimits = regions['Gulf']['ylimits']
    # plotaxes.title = "Manning's N Coefficient"
    plotaxes.afteraxes = friction_after_axes
    plotaxes.scaled = True

    surgeplot.add_friction(plotaxes, bounds=friction_bounds, shrink=0.9)
    plotaxes.plotitem_dict['friction'].amr_patchedges_show = [0] * 10
    plotaxes.plotitem_dict['friction'].colorbar_label = "$n$"

    #
    #  Hurricane Forcing fields
    #
    # Pressure field
    plotfigure = plotdata.new_plotfigure(name='Pressure')
    plotfigure.show = surge_data.pressure_forcing and True

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = regions['Gulf']['xlimits']
    plotaxes.ylimits = regions['Gulf']['ylimits']
    plotaxes.title = "Pressure Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    surgeplot.add_pressure(plotaxes, bounds=pressure_limits)
    surgeplot.add_land(plotaxes)

    # Wind field
    plotfigure = plotdata.new_plotfigure(name='Wind Speed')
    plotfigure.show = surge_data.wind_forcing and True

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = regions['Gulf']['xlimits']
    plotaxes.ylimits = regions['Gulf']['ylimits']
    plotaxes.title = "Wind Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    surgeplot.add_wind(plotaxes, bounds=wind_limits)
    surgeplot.add_land(plotaxes)

    # ========================================================================
    #  Figures for gauges
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Gauge Surfaces', figno=300,
                                         type='each_gauge')
    plotfigure.show = True
    plotfigure.clf_each_gauge = True

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = [-2, 1]
    # plotaxes.xlabel = "Days from landfall"
    # plotaxes.ylabel = "Surface (m)"
    plotaxes.ylimits = [-1, 5]
    plotaxes.title = 'Surface'

    def gauge_afteraxes(cd):

        axes = plt.gca()
        surgeplot.plot_landfall_gauge(cd.gaugesoln, axes, landfall=landfall)

        # Fix up plot - in particular fix time labels
        axes.set_title('Station %s' % cd.gaugeno)
        axes.set_xlabel('Days relative to landfall')
        axes.set_ylabel('Surface (m)')
        axes.set_xlim([-2, 1])
        axes.set_ylim([-1, 5])
        axes.set_xticks([-2, -1, 0, 1])
        axes.set_xticklabels([r"$-2$", r"$-1$", r"$0$", r"$1$"])
        axes.grid(True)
    plotaxes.afteraxes = gauge_afteraxes

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

    #
    #  Gauge Location Plot
    #
    def gauge_location_afteraxes(cd):
        plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.97)
        surge_afteraxes(cd)
        gaugetools.plot_gauge_locations(cd.plotdata, gaugenos='all',
                                        format_string='ko', add_labels=True)

    plotfigure = plotdata.new_plotfigure(name="Gauge Locations")
    plotfigure.show = True

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Gauge Locations'
    plotaxes.scaled = True
    plotaxes.xlimits = [-95.5, -94]
    plotaxes.ylimits = [29.0, 30.0]
    plotaxes.afteraxes = gauge_location_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

    # -----------------------------------------
    # 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_gaugenos = [1, 2, 3, 4]   # list of gauges 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?
    plotdata.parallel = True                 # parallel plotting

    return plotdata
示例#8
0
def setplot(plotdata):
    r"""Setplot function for surge plotting"""
    

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

    fig_num_counter = surge.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 = surge.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: surge.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

    surge.add_surface_elevation(plotaxes, plot_type='contourf', 
                                               contours=surface_contours,
                                               shrink=gulf_shrink)
    surge.add_land(plotaxes,topo_min=-10.0,topo_max=5.0)
    # surge.plot.add_bathy_contours(plotaxes)
    if article:
        plotaxes.plotitem_dict['surface'].add_colorbar = False
    else:
        add_custom_colorbar_ticks_to_axes(plotaxes, 'surface', surface_ticks, surface_labels)
    plotaxes.plotitem_dict['surface'].amr_patchedges_show = [1,1,1,1,1,1,1,1]

    #
    #  Water Speed
    #
    plotfigure = plotdata.new_plotfigure(name='Currents - Entire Domain',  
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = True

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Currents'
    plotaxes.scaled = True
    plotaxes.xlimits = gulf_xlimits
    plotaxes.ylimits = gulf_ylimits
    plotaxes.afteraxes = gulf_after_axes

    # Speed
    surge.add_speed(plotaxes, plot_type='contourf', 
                                   contours=speed_contours, 
                                   shrink=gulf_shrink)
    if article:
        plotaxes.plotitem_dict['speed'].add_colorbar = False
    else:
        add_custom_colorbar_ticks_to_axes(plotaxes, 'speed', speed_ticks, speed_labels)

    # Land
    surge.add_land(plotaxes)
    surge.add_bathy_contours(plotaxes)    

    #
    # Friction field
    #
    plotfigure = plotdata.new_plotfigure(name='Friction',
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = friction_data.variable_friction and True

    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)

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = gulf_xlimits
    plotaxes.ylimits = gulf_ylimits
    # plotaxes.title = "Manning's N Coefficient"
    plotaxes.afteraxes = friction_after_axes
    plotaxes.scaled = True

    surge.add_friction(plotaxes,bounds=friction_bounds,shrink=0.9)
    plotaxes.plotitem_dict['friction'].amr_patchedges_show = [0,0,0,0,0,0,0]
    plotaxes.plotitem_dict['friction'].colorbar_label = "$n$"


    # ========================================================================
    #  LaTex Shelf
    # ========================================================================
    latex_xlimits = [-97.5,-88.5]
    latex_ylimits = [27.5,30.5]
    latex_shrink = 1.0
    def latex_after_axes(cd):
        if article:
            plt.subplots_adjust(left=0.07, bottom=0.14, right=1.0, top=0.86)
        else:
            plt.subplots_adjust(right=1.0)
        surge_afteraxes(cd)

    #
    # Surface
    #
    plotfigure = plotdata.new_plotfigure(name='Surface - LaTex Shelf', 
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = True
    if article:
        plotfigure.kwargs = {'figsize':(8,2.7), 'facecolor':'none'}
    else:
        plotfigure.kwargs = {'figsize':(9,2.7), 'facecolor':'none'}

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Surface'
    plotaxes.scaled = True
    plotaxes.xlimits = latex_xlimits
    plotaxes.ylimits = latex_ylimits
    plotaxes.afteraxes = latex_after_axes
    
    surge.add_surface_elevation(plotaxes, plot_type='contourf', 
                                               contours=surface_contours,
                                               shrink=latex_shrink)

    if article:
        plotaxes.plotitem_dict['surface'].add_colorbar = False
        # plotaxes.afteraxes = lambda cd: article_latex_after_axes(cd, landfall)
    else:
        add_custom_colorbar_ticks_to_axes(plotaxes, 'surface', [-5,-2.5,0,2.5,5.0], 
                                    ["-5.0","-2.5"," 0"," 2.5"," 5.0"])
    # plotaxes.plotitem_dict['surface'].contour_cmap = plt.get_cmap('OrRd')
    # surge.plot.add_surface_elevation(plotaxes,plot_type='contour')
    surge.add_land(plotaxes)
    # plotaxes.plotitem_dict['surface'].amr_patchedges_show = [1,1,1,0,0,0,0]
    plotaxes.plotitem_dict['surface'].amr_patchedges_show = [0,0,0,0,0,0,0]
    # plotaxes.plotitem_dict['land'].amr_patchedges_show = [1,1,1,0,0,0,0]
    plotaxes.plotitem_dict['land'].amr_patchedges_show = [0,0,0,0,0,0,0]

    # Plot using jet and 0.0 to 5.0 to match figgen generated ADCIRC results
    # plotaxes.plotitem_dict['surface'].pcolor_cmin = 0.0
    # plotaxes.plotitem_dict['surface'].pcolor_cmax = 5.0
    # plotaxes.plotitem_dict['surface'].pcolor_cmap = plt.get_cmap('jet')

    #
    # Water Speed
    #
    plotfigure = plotdata.new_plotfigure(name='Currents - LaTex Shelf',  
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = True
    if article:
        plotfigure.kwargs = {'figsize':(8,2.7), 'facecolor':'none'}
    else:
        plotfigure.kwargs = {'figsize':(9,2.7), 'facecolor':'none'}

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Currents'
    plotaxes.scaled = True
    plotaxes.xlimits = latex_xlimits
    plotaxes.ylimits = latex_ylimits
    plotaxes.afteraxes = latex_after_axes
    
    surge.add_speed(plotaxes, plot_type='contourf', 
                                   contours=speed_contours, 
                                   shrink=latex_shrink)

    if article:
        plotaxes.plotitem_dict['speed'].add_colorbar = False
    else:
        add_custom_colorbar_ticks_to_axes(plotaxes, 'speed', speed_ticks, speed_labels)
    # surge.plot.add_surface_elevation(plotaxes,plot_type='contour')
    surge.add_land(plotaxes)
    # plotaxes.plotitem_dict['speed'].amr_patchedges_show = [1,1,0,0,0,0,0]
    # plotaxes.plotitem_dict['land'].amr_patchedges_show = [1,1,1,0,0,0,0]
    plotaxes.plotitem_dict['speed'].amr_patchedges_show = [0,0,0,0,0,0,0]
    plotaxes.plotitem_dict['land'].amr_patchedges_show = [0,0,0,0,0,0,0]



    # ========================================================================
    #  Houston/Galveston
    # ========================================================================
    houston_xlimits = [-(95.0 + 26.0 / 60.0), -(94.0 + 25.0 / 60.0)]
    houston_ylimits = [29.1, 29.0 + 55.0 / 60.0]
    houston_shrink = 0.9
    def houston_after_axes(cd):
        if article:
            plt.subplots_adjust(left=0.05, bottom=0.07, right=0.99, top=0.92)
        else:
            plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.97)
        surge_afteraxes(cd)
        # surge.plot.gauge_locations(cd)
    
    #
    # Surface Elevations
    #
    plotfigure = plotdata.new_plotfigure(name='Surface - Houston/Galveston',  
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = True
    # if article:
    #     plotfigure.kwargs['figsize'] = 

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Surface'
    plotaxes.scaled = True
    plotaxes.xlimits = houston_xlimits
    plotaxes.ylimits = houston_ylimits
    plotaxes.afteraxes = houston_after_axes
    
    surge.add_surface_elevation(plotaxes, plot_type='contourf', 
                                               contours=surface_contours,
                                               shrink=houston_shrink)
    
    if article:
        plotaxes.plotitem_dict['surface'].add_colorbar = False
    else:
        add_custom_colorbar_ticks_to_axes(plotaxes, 'surface', surface_ticks, surface_labels)
    surge.add_land(plotaxes)
    plotaxes.plotitem_dict['surface'].amr_patchedges_show = [0,0,0,0,0,0,0]
    plotaxes.plotitem_dict['land'].amr_patchedges_show = [0,0,0,0,0,0,0]
    # surge.plot.add_bathy_contours(plotaxes)

    # Plot using jet and 0.0 to 5.0 to match figgen generated ADCIRC results
    # plotaxes.plotitem_dict['surface'].pcolor_cmin = 0.0
    # plotaxes.plotitem_dict['surface'].pcolor_cmax = 5.0
    # plotaxes.plotitem_dict['surface'].pcolor_cmap = plt.get_cmap('jet')

    #
    # Water Speed
    #
    plotfigure = plotdata.new_plotfigure(name='Currents - Houston/Galveston',  
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = True

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Currents'
    plotaxes.scaled = True
    plotaxes.xlimits = houston_xlimits
    plotaxes.ylimits = houston_ylimits
    plotaxes.afteraxes = houston_after_axes
    
    surge.add_speed(plotaxes, plot_type='contourf', 
                                   contours=speed_contours,
                                   shrink=houston_shrink)
    
    if article:
        plotaxes.plotitem_dict['speed'].add_colorbar = False
    else:
        add_custom_colorbar_ticks_to_axes(plotaxes, 'speed', speed_ticks, speed_labels)
    surge.add_land(plotaxes)
    # surge.plot.add_bathy_contours(plotaxes)
    # plotaxes.plotitem_dict['speed'].amr_patchedges_show = [1,1,1,1,1,1,1,1]
    # plotaxes.plotitem_dict['land'].amr_patchedges_show = [1,1,1,1,1,1,1,1]
    plotaxes.plotitem_dict['speed'].amr_patchedges_show = [0,0,0,0,0,0,0]
    plotaxes.plotitem_dict['land'].amr_patchedges_show = [0,0,0,0,0,0,0]

    # ==========================
    #  Hurricane Forcing fields
    # ==========================
    
    # Pressure field
    plotfigure = plotdata.new_plotfigure(name='Pressure',  
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = surge_data.pressure_forcing and True
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = gulf_xlimits
    plotaxes.ylimits = gulf_ylimits
    plotaxes.title = "Pressure Field"
    plotaxes.afteraxes = gulf_after_axes
    plotaxes.scaled = True
    
    surge.add_pressure(plotaxes, bounds=pressure_limits, shrink=gulf_shrink)
    surge.add_land(plotaxes)
    
    # Wind field
    plotfigure = plotdata.new_plotfigure(name='Wind Speed', 
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = surge_data.wind_forcing and True
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = gulf_xlimits
    plotaxes.ylimits = gulf_ylimits
    plotaxes.title = "Wind Field"
    plotaxes.afteraxes = gulf_after_axes
    plotaxes.scaled = True
    
    surge.add_wind(plotaxes, bounds=wind_limits, plot_type='pcolor',
                                  shrink=gulf_shrink)
    surge.add_land(plotaxes)

    # ========================================================================
    #  Figures for gauges
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Surface & topo', figno=300, \
                    type='each_gauge')
    plotfigure.show = True
    plotfigure.clf_each_gauge = True
    # plotfigure.kwargs['figsize'] = (16,10)

    def gauge_after_axes(cd):

        if cd.gaugeno in [1,2,3,4]:
            axes = plt.gca()
            # # Add Kennedy gauge data
            # kennedy_gauge = kennedy_gauges[gauge_name_trans[cd.gaugeno]]
            # axes.plot(kennedy_gauge['t'] - seconds2days(date2seconds(gauge_landfall[0])), 
            #          kennedy_gauge['mean_water'] + kennedy_gauge['depth'], 'k-', 
            #          label='Gauge Data')

            # Add GeoClaw gauge data
            geoclaw_gauge = cd.gaugesoln
            axes.plot(seconds2days(geoclaw_gauge.t - date2seconds(gauge_landfall[1])),
                  geoclaw_gauge.q[3,:] + gauge_surface_offset[0], 'b--', 
                  label="GeoClaw")

            # Add ADCIRC gauge data
            # ADCIRC_gauge = ADCIRC_gauges[kennedy_gauge['gauge_no']]
            # axes.plot(seconds2days(ADCIRC_gauge[:,0] - gauge_landfall[2]), 
            #          ADCIRC_gauge[:,1] + gauge_surface_offset[1], 'r-.', label="ADCIRC")

            # Fix up plot
            axes.set_title('Station %s' % cd.gaugeno)
            axes.set_xlabel('Days relative to landfall')
            axes.set_ylabel('Surface (m)')
            axes.set_xlim([-2,1])
            axes.set_ylim([-1,5])
            axes.set_xticks([-2,-1,0,1])
            axes.set_xticklabels([r"$-2$",r"$-1$",r"$0$",r"$1$"])
            axes.grid(True)
            axes.legend()

            plt.hold(False)

        # surge.plot.gauge_afteraxes(cd)


    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = [-2,1]
    # plotaxes.xlabel = "Days from landfall"
    # plotaxes.ylabel = "Surface (m)"
    plotaxes.ylimits = [-1,5]
    plotaxes.title = 'Surface'
    plotaxes.afteraxes = gauge_after_axes

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

    # =====================
    #  Gauge Location Plot
    # =====================
    gauge_xlimits = [-95.5, -94]
    gauge_ylimits = [29.0, 30.0]
    gauge_location_shrink = 0.75
    def gauge_after_axes(cd):
        plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.97)
        surge_afteraxes(cd)
        surge.gauge_locations(cd, gaugenos=[1, 2, 3, 4])
        plt.title("Gauge Locations")

    plotfigure = plotdata.new_plotfigure(name='Gauge Locations',  
                                         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 = gauge_xlimits
    plotaxes.ylimits = gauge_ylimits
    plotaxes.afteraxes = gauge_after_axes
    
    surge.add_surface_elevation(plotaxes, plot_type='contourf', 
                                               contours=surface_contours,
                                               shrink=gauge_location_shrink)
    # surge.plot.add_surface_elevation(plotaxes, plot_type="contourf")
    add_custom_colorbar_ticks_to_axes(plotaxes, 'surface', surface_ticks, surface_labels)
    surge.add_land(plotaxes)
    # plotaxes.plotitem_dict['surface'].amr_patchedges_show = [0,0,0,0,0,0,0]
    # plotaxes.plotitem_dict['surface'].add_colorbar = False
    # plotaxes.plotitem_dict['surface'].pcolor_cmap = plt.get_cmap('jet')
    # plotaxes.plotitem_dict['surface'].pcolor_cmap = plt.get_cmap('gist_yarg')
    # plotaxes.plotitem_dict['surface'].pcolor_cmin = 0.0
    # plotaxes.plotitem_dict['surface'].pcolor_cmax = 5.0
    plotaxes.plotitem_dict['surface'].amr_patchedges_show = [0,0,0,0,0,0,0]
    plotaxes.plotitem_dict['land'].amr_patchedges_show = [0,0,0,0,0,0,0]
    
    # ==============================================================
    #  Debugging Plots, only really work if using interactive plots
    # ==============================================================
    #
    # Water Velocity Components
    #
    plotfigure = plotdata.new_plotfigure(name='Velocity Components - Entire Domain',  
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = False

    # X-Component
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.axescmd = "subplot(121)"
    plotaxes.title = 'Velocity, X-Component'
    plotaxes.scaled = True
    plotaxes.xlimits = gulf_xlimits
    plotaxes.ylimits = gulf_ylimits
    plotaxes.afteraxes = gulf_after_axes

    plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
    plotitem.plot_var = surge.water_u
    plotitem.pcolor_cmap = colormaps.make_colormap({1.0:'r',0.5:'w',0.0:'b'})
    plotitem.pcolor_cmin = -speed_limits[1]
    plotitem.pcolor_cmax = speed_limits[1]
    plotitem.colorbar_shrink = gulf_shrink
    plotitem.add_colorbar = True
    plotitem.amr_celledges_show = [0,0,0]
    plotitem.amr_patchedges_show = [1,1,1]

    surge.add_land(plotaxes)

    # Y-Component
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.axescmd = "subplot(122)"
    plotaxes.title = 'Velocity, Y-Component'
    plotaxes.scaled = True
    plotaxes.xlimits = gulf_xlimits
    plotaxes.ylimits = gulf_ylimits
    plotaxes.afteraxes = gulf_after_axes

    plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
    plotitem.plot_var = surge.water_v
    plotitem.pcolor_cmap = colormaps.make_colormap({1.0:'r',0.5:'w',0.0:'b'})
    plotitem.pcolor_cmin = -speed_limits[1]
    plotitem.pcolor_cmax = speed_limits[1]
    plotitem.colorbar_shrink = gulf_shrink
    plotitem.add_colorbar = True
    plotitem.amr_celledges_show = [0,0,0]
    plotitem.amr_patchedges_show = [1,1,1]
    
    surge.add_land(plotaxes)

    # 
    # Depth
    # 
    plotfigure = plotdata.new_plotfigure(name='Depth - Entire Domain', 
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = False

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'depth'
    plotaxes.scaled = True
    plotaxes.xlimits = gulf_xlimits
    plotaxes.ylimits = gulf_ylimits
    plotaxes.afteraxes = gulf_after_axes

    plotitem = plotaxes.new_plotitem(plot_type='2d_imshow')
    plotitem.plot_var = 0
    plotitem.imshow_cmap = colormaps.make_colormap({1.0:'r',0.5:'w',0.0:'b'})
    plotitem.imshow_cmin = 0
    plotitem.imshow_cmax = 100
    plotitem.colorbar_shrink = gulf_shrink
    plotitem.add_colorbar = True
    plotitem.amr_celledges_show = [0,0,0]
    plotitem.amr_patchedges_show = [1,1,1,1,1,1,1,1,1]
    
    # Surge field
    plotfigure = plotdata.new_plotfigure(name='Surge Field', 
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = ((surge_data.wind_forcing or surge_data.pressure_forcing) 
                        and False)
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = gulf_xlimits
    plotaxes.ylimits = gulf_ylimits
    plotaxes.title = "Storm Surge Source Term S"
    plotaxes.afteraxes = gulf_after_axes
    plotaxes.scaled = True
    
    plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
    plotitem.plot_var = surge.pressure_field + 1
    plotitem.pcolor_cmap = plt.get_cmap('PuBu')
    plotitem.pcolor_cmin = 0.0
    plotitem.pcolor_cmax = 1e-3
    plotitem.add_colorbar = True
    plotitem.colorbar_shrink = gulf_shrink
    plotitem.colorbar_label = "Source Strength"
    plotitem.amr_celledges_show = [0,0,0]
    plotitem.amr_patchedges_show = [1,1,1,1,1,0,0]
    
    surge.add_land(plotaxes)

    plotfigure = plotdata.new_plotfigure(name='Friction/Coriolis Source', 
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = False
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = gulf_xlimits
    plotaxes.ylimits = gulf_ylimits
    plotaxes.title = "Friction/Coriolis Source"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    
    plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
    plotitem.plot_var = surge.pressure_field + 2
    plotitem.pcolor_cmap = plt.get_cmap('PuBu')
    plotitem.pcolor_cmin = 0.0
    plotitem.pcolor_cmax = 1e-3
    plotitem.add_colorbar = True
    plotitem.colorbar_shrink = gulf_shrink
    plotitem.colorbar_label = "Source Strength"
    plotitem.amr_celledges_show = [0,0,0]
    plotitem.amr_patchedges_show = [1,1,1,1,1,0,0]
    
    surge.add_land(plotaxes)

    #-----------------------------------------

    # Parameters used only when creating html and/or latex hardcopy
    # e.g., via pyclaw.plotters.frametools.printframes:

    if article:
        plotdata.printfigs = True                # print figures
        plotdata.print_format = 'png'            # file format
        plotdata.print_framenos = [54,60,66,72,78,84]            # list of frames to print
        plotdata.print_gaugenos = [1,2,3,4]          # list of gauges to print
        plotdata.print_fignos = [4,5,6,7,10,3,300]            # 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 = 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?

    else:
        plotdata.printfigs = True                # print figures
        plotdata.print_format = 'png'            # file format
        plotdata.print_framenos = 'all'            # list of frames to print
        plotdata.print_gaugenos = [1,2,3,4]          # list of gauges 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
示例#9
0
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)


    # ========================================================================
    #  Water Speed - Entire Domain
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='speed', figno=1)
    plotfigure.show = True

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

    # Speed
    surgeplot.add_speed(plotaxes,bounds=speed_limits)

    # Land
    surgeplot.add_land(plotaxes)


    # ========================================================================
    # Hurricane forcing - Entire Domain
    # ========================================================================
    # Pressure field
    plotfigure = plotdata.new_plotfigure(name='Pressure', figno=2)
    plotfigure.show = surge_data.pressure_forcing
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = full_xlimits
    plotaxes.ylimits = full_ylimits
    plotaxes.title = "Pressure Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    
    surgeplot.add_pressure(plotaxes,bounds=pressure_limits)
    # add_pressure(plotaxes)
    surgeplot.add_land(plotaxes)
    
    # Wind field
    plotfigure = plotdata.new_plotfigure(name='Wind Speed',figno=4)
    plotfigure.show = surge_data.wind_forcing
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = full_xlimits
    plotaxes.ylimits = full_ylimits
    plotaxes.title = "Wind Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    
    surgeplot.add_wind(plotaxes,bounds=wind_limits,plot_type='imshow')
    # add_wind(plotaxes,bounds=wind_limits,plot_type='contour')
    # add_wind(plotaxes,bounds=wind_limits,plot_type='quiver')
    surgeplot.add_land(plotaxes)
    
    # Wind field components
    plotfigure = plotdata.new_plotfigure(name='Wind Components',figno=5)
    plotfigure.show = surge_data.wind_forcing and False
    plotfigure.kwargs = {'figsize':(16,6)}
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.axescmd = "subplot(121)"
    plotaxes.xlimits = full_xlimits
    plotaxes.ylimits = full_ylimits
    plotaxes.title = "X-Component of Wind Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True

    plotitem = plotaxes.new_plotitem(plot_type='2d_imshow')
    plotitem.plot_var = surgeplot.wind_x
    plotitem.imshow_cmap = colormaps.make_colormap({1.0:'r',0.5:'w',0.0:'b'})
    plotitem.imshow_cmin = -wind_limits[1]
    plotitem.imshow_cmax = wind_limits[1]
    plotitem.add_colorbar = True
    plotitem.amr_celledges_show = [0,0,0]
    plotitem.amr_patchedges_show = [1,1,1]
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.axescmd = "subplot(122)"
    plotaxes.xlimits = full_xlimits
    plotaxes.ylimits = full_ylimits
    plotaxes.title = "Y-Component of Wind Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True

    plotitem = plotaxes.new_plotitem(plot_type='2d_imshow')
    plotitem.plot_var = surgeplot.wind_y
    plotitem.imshow_cmap = colormaps.make_colormap({1.0:'r',0.5:'w',0.0:'b'})
    plotitem.imshow_cmin = -wind_limits[1]
    plotitem.imshow_cmax = wind_limits[1]
    plotitem.add_colorbar = True
    plotitem.amr_celledges_show = [0,0,0]
    plotitem.amr_patchedges_show = [1,1,1]

    # ========================================================================
    #  Figures for gauges
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Surface & topo', figno=300, \
                    type='each_gauge')
    plotfigure.show = True
    plotfigure.clf_each_gauge = True

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    # plotaxes.xlimits = [0.0,amrdata.tfinal]
    # plotaxes.ylimits = [0,150.0]
    plotaxes.ylimits = surface_limits
    plotaxes.title = 'Surface'
    plotaxes.afteraxes = surgeplot.gauge_afteraxes

    # Plot surface as blue curve:
    plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
    plotitem.plot_var = 3
    plotitem.plotstyle = 'r-'
    
    # =================
    #  Plot bathymetry
    # =================
    plotfigure = plotdata.new_plotfigure(name='Bathymetry', figno=301)
    plotfigure.show = True

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = full_xlimits
    plotaxes.ylimits = full_ylimits
    plotaxes.title = "Bathymetry"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True

    plotitem = plotaxes.new_plotitem(plot_type="2d_pcolor")
    plotitem.plot_var = geoplot.topo
    # plotitem.pcolor_cmap = geoplot.seafloor_colormap
    plotitem.pcolor_cmin = -3000.0
    plotitem.pcolor_cmax = 300.0
    plotitem.add_colorbar = True

    surgeplot.add_land(plotaxes)


    #-----------------------------------------
    # Figures for gauges
    #-----------------------------------------
    # plotfigure = plotdata.new_plotfigure(name='Surface & topo', 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-'
    # 
    # # Plot topo as green curve:
    # plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
    # plotitem.show = False
    # 
    # def gaugetopo(current_data):
    #     q = current_data.q
    #     h = q[0,:]
    #     eta = q[3,:]
    #     topo = eta - h
    #     return topo
    #     
    # plotitem.plot_var = gaugetopo
    # plotitem.plotstyle = 'g-'
    # 
    # def add_zeroline(current_data):
    #     from pylab import plot, legend, xticks, floor
    #     t = current_data.t
    #     #legend(('surface','topography'),loc='lower left')
    #     plot(t, 0*t, 'k')
    #     n = int(floor(t.max()/3600.) + 2)
    #     xticks([3600*i for i in range(n)])
    # 
    # plotaxes.afteraxes = add_zeroline


    #-----------------------------------------
    
    # 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_framenos = [45,46,47,48]
    plotdata.print_gaugenos = 'all'          # list of gauges 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
示例#10
0
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'
    plotdata.format = 'ascii'

    # Load data from output
    claw_data = clawdata.ClawInputData(2)
    claw_data.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'))

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

    # Color limits
    surface_range = 4.5
    speed_range = 1.0
    # speed_range = 1.e-2

    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]
    friction_bounds = [0.01, 0.04]
    vorticity_limits = [-1.e-2, 1.e-2]
    land_bounds = [-10, 50]

    # ==========================================================================
    #   Plot specifications
    # ==========================================================================
    # Limits for plots
    regions = {
        'Full Domain': {
            "xlimits": [claw_data.lower[0], claw_data.upper[0]],
            "ylimits": [claw_data.lower[1], claw_data.upper[1]],
            "shrink": 1.0,
            "figsize": [6.4, 4.8]
        },
        'Mumbai Region': {
            "xlimits": [70, 75],
            "ylimits": [17, 22],
            "shrink": 1.0,
            "figsize": [6.4, 4.8]
        },
        'Mumbai': {
            "xlimits": [72.6, 73.15],
            "ylimits": [18.80, 19.25],
            "shrink": 1.0,
            "figsize": [6.4, 4.8]
        }
    }

    def gauge_location_afteraxes(cd):
        plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.97)
        surge_afteraxes(cd)
        gaugetools.plot_gauge_locations(cd.plotdata,
                                        gaugenos='all',
                                        format_string='ko',
                                        add_labels=True)

    for (name, region_dict) in regions.items():
        # ========================================================================
        #  Surface Elevations
        # ========================================================================
        plotfigure = plotdata.new_plotfigure(name='Surface - %s' % name)
        plotfigure.show = True

        #plotfigure = plotdata.new_plotfigure(name="Gauge Locations")
        #plotfigure.show = True

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

        surgeplot.add_surface_elevation(plotaxes,
                                        bounds=surface_limits,
                                        shrink=region_dict['shrink'])
        surgeplot.add_land(plotaxes, bounds=land_bounds)

        plotaxes.plotitem_dict['land'].amr_patchedges_show = [1, 0, 0]
        plotaxes.plotitem_dict['surface'].amr_patchedges_show = [1, 0, 0]

        # ========================================================================
        #  Water Speed
        # ========================================================================
        plotfigure = plotdata.new_plotfigure(name='Currents - %s' % name)
        plotfigure.show = True

        # Set up for axes in this figure:
        plotaxes = plotfigure.new_plotaxes()
        plotaxes.title = 'Currents'
        plotaxes.scaled = True
        plotaxes.xlimits = region_dict['xlimits']
        plotaxes.ylimits = region_dict['ylimits']
        plotaxes.afteraxes = surge_afteraxes

        surgeplot.add_speed(plotaxes,
                            bounds=speed_limits,
                            shrink=region_dict['shrink'])
        surgeplot.add_land(plotaxes, bounds=land_bounds)

    # ========================================================================
    # Hurricane forcing - Entire Atlantic
    # ========================================================================
    # Friction field
    plotfigure = plotdata.new_plotfigure(name='Friction')
    plotfigure.show = False

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = regions['Full Domain']['xlimits']
    plotaxes.ylimits = regions['Full Domain']['ylimits']
    plotaxes.title = "Manning's N Coefficients"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True

    surgeplot.add_friction(plotaxes, bounds=friction_bounds)

    # Pressure field
    plotfigure = plotdata.new_plotfigure(name='Pressure')
    plotfigure.show = True

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = regions['Full Domain']['xlimits']
    plotaxes.ylimits = regions['Full Domain']['ylimits']
    plotaxes.title = "Pressure Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True

    surgeplot.add_pressure(plotaxes, bounds=pressure_limits)
    surgeplot.add_land(plotaxes, bounds=[-10, 500])

    # Wind field
    plotfigure = plotdata.new_plotfigure(name='Wind Speed')
    plotfigure.show = True

    plotaxes = plotfigure.new_plotaxes()

    plotaxes.xlimits = regions['Full Domain']['xlimits']
    plotaxes.ylimits = regions['Full Domain']['ylimits']
    plotaxes.title = "Wind Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True

    surgeplot.add_wind(plotaxes, bounds=wind_limits, plot_type='imshow')
    surgeplot.add_land(plotaxes, bounds=[-10, 500])
    # ========================================================================
    #  Figures for gauges
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Surface & topo', figno=300, \
                    type='each_gauge')
    plotfigure.show = True
    plotfigure.clf_each_gauge = True

    def gauge_afteraxes(cd):

        axes = plt.gca()
        surgeplot.plot_landfall_gauge(cd.gaugesoln, axes)

        # Fix up plot - in particular fix time labels
        axes.set_title('Station %s' % cd.gaugeno)
        axes.set_xlabel('Days relative to landfall')
        axes.set_ylabel('Surface (m)')
        axes.set_xlim([0, 6])
        axes.set_xticks([0, 1, 2, 3, 4, 5, 6])
        axes.set_xticklabels(
            [r"$0$", r"$1$", r"$2$", r"$3$", r"$4$", r"$5$", r"$6$"])
        #axes.set_ylim([-1, 5])
        axes.grid(True)

#    def gauge_afteraxes(cd):
#        station_id, station_name = stations[cd.gaugeno-1]
#        seconds_rel_landfall, actual_level = get_actual_water_levels(station_id)
#
#        axes = plt.gca()
#        #surgeplot.plot_landfall_gauge(cd.gaugesoln, axes, landfall=landfall)
#        axes.plot(seconds_rel_landfall, actual_level, 'g')
#
#        # Fix up plot - in particular fix time labels
#        axes.set_title(station_name)
#        axes.set_xlabel('Seconds relative to landfall')
#        axes.set_ylabel('Surface (m)')
#        axes.set_xlim([days2seconds(-2), days2seconds(1)])
#        axes.set_ylim([0, 4])
#        axes.set_xticks([ days2seconds(-2), days2seconds(-1), 0,
#days2seconds(1)])
#axes.set_xticklabels([r"$-3$", r"$-2$", r"$-1$", r"$0$", r"$1$"])
#axes.grid(True)

#     def current_afterxes(cd):
#         station_id, station_name = stations[cd.gaugeno-1]
#         if len(station_id)==6:
#             seconds_rel_landfall, currents = get_actual_currents(station_id)
#
#             axes = plt.gca()
#             #surgeplot.plot_landfall_gauge(cd.gaugesoln, axes,
#             landfall=landfall)
#             axes.plot(seconds_rel_landfall, currents, 'g')
#
#             # Fix up plot - in particular fix time labels
#             axes.set_title(station_name)
#             axes.set_xlabel('Seconds relative to landfall')
#             axes.set_ylabel('Surface (m)')
#             axes.set_xlim([days2seconds(-2), days2seconds(1)])
#             axes.set_xticks([ days2seconds(-2), days2seconds(-1), 0,
#             days2seconds(1)])
#             #axes.set_xticklabels([r"$-3$", r"$-2$", r"$-1$", r"$0$", r"$1$"])
#             #axes.grid(True)

# Set up for axes in this figure:

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.afteraxes = gauge_afteraxes

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

    # Speeds

    #    plotfigure = plotdata.new_plotfigure(name='Currents', figno=400, \
    #                        type='each_gauge')
    #    plotfigure.show = True
    #    plotfigure.clf_each_gauge = True

    #    plotaxes = plotfigure.new_plotaxes()
    #plotaxes.afteraxes = current_afterxes
    # plotaxes.axescmd = 'subplot(122)'
    # try:
    #     plotaxes.xlimits = [amrdata.t0, amrdata.tfinal]
    # except:
    #     pass
    # plotaxes.ylimits = surface_limits
    #plotaxes.title = 'Momenta'
    # plotaxes.afteraxes = surge.gauge_afteraxes

    #    plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
    #    plotitem.plot_var = calc_currents
    #    plotitem.plotstyle = 'r-.'
    #plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
    #plotitem.plot_var = 2
    #plotitem.plotstyle = 'b-'

    #-----------------------------------------

    # 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_gaugenos = 'all'  # list of gauges 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
示例#11
0
def setplot(plotdata):
    r"""Setplot function for surge plotting"""
    

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

    fig_num_counter = surge.figure_counter()

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

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

    # Calculate landfall time, off by a day, maybe leap year issue?
    landfall_dt = datetime.datetime(2011,8,27,7,30) - datetime.datetime(2011,1,1,0)
    landfall = (landfall_dt.days) * 24.0 * 60**2 + landfall_dt.seconds

    # Set afteraxes function
    surge_afteraxes = lambda cd: surge.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]]
    full_shrink = 0.8
    newyork_xlimits = [-74.5,-71.0]
    newyork_ylimits = [40.0,41.5]
    newyork_shrink = 0.5

    # Color limits
    surface_range = 1.5
    speed_range = 1.0
    # speed_range = 1.e-2

    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]
    friction_bounds = [0.01,0.04]
    vorticity_limits = [-1.e-2,1.e-2]

    def pcolor_afteraxes(current_data):
        surge_afteraxes(current_data)
        surge.gauge_locations(current_data)
    
    def contour_afteraxes(current_data):
        surge_afteraxes(current_data)

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

    # ========================================================================
    #  Surface Elevations - Entire Atlantic
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Surface - Atlantic',  
                                         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 = xlimits
    plotaxes.ylimits = ylimits
    plotaxes.afteraxes = pcolor_afteraxes
    
    surge.add_surface_elevation(plotaxes,bounds=surface_limits,shrink=full_shrink)
    surge.add_land(plotaxes)


    # ========================================================================
    #  Water Speed - Entire Atlantic
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Currents - Atlantic',  
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = True

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

    # Speed
    surge.add_speed(plotaxes,bounds=speed_limits,shrink=full_shrink)

    # Land
    surge.add_land(plotaxes)

    # ========================================================================
    #  Surface Elevations - New York Area
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Surface - New York',  
                                         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 = newyork_xlimits
    plotaxes.ylimits = newyork_ylimits
    def after_with_gauges(cd):
        surge_afteraxes(cd)
        surge.gauge_locations(cd)
    plotaxes.afteraxes = after_with_gauges
    
    surge.add_surface_elevation(plotaxes,bounds=surface_limits,shrink=newyork_shrink)
    surge.add_land(plotaxes)

    # ========================================================================
    #  Currents Elevations - New York Area
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Currents - New York',  
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = True

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Currents'
    plotaxes.scaled = True
    plotaxes.xlimits = newyork_xlimits
    plotaxes.ylimits = newyork_ylimits
    def after_with_gauges(cd):
        surge_afteraxes(cd)
        surge.gauge_locations(cd)
    plotaxes.afteraxes = after_with_gauges
    
    surge.add_speed(plotaxes,bounds=speed_limits,shrink=newyork_shrink)
    surge.add_land(plotaxes)


    # ========================================================================
    # Hurricane forcing - Entire Atlantic
    # ========================================================================
    # Friction field
    plotfigure = plotdata.new_plotfigure(name='Friction',
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = friction_data.variable_friction and True

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = full_xlimits
    plotaxes.ylimits = full_ylimits
    plotaxes.title = "Manning's N Coefficients"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True

    surge.add_friction(plotaxes,bounds=friction_bounds)

    # Pressure field
    plotfigure = plotdata.new_plotfigure(name='Pressure',  
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = surge_data.pressure_forcing and True
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = full_xlimits
    plotaxes.ylimits = full_ylimits
    plotaxes.title = "Pressure Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    
    surge.add_pressure(plotaxes,bounds=pressure_limits)
    # add_pressure(plotaxes)
    surge.add_land(plotaxes)
    
    # Wind field
    plotfigure = plotdata.new_plotfigure(name='Wind Speed', 
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = surge_data.wind_forcing and True
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = full_xlimits
    plotaxes.ylimits = full_ylimits
    plotaxes.title = "Wind Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    
    surge.add_wind(plotaxes,bounds=wind_limits,plot_type='imshow')
    # add_wind(plotaxes,bounds=wind_limits,plot_type='contour')
    # add_wind(plotaxes,bounds=wind_limits,plot_type='quiver')
    surge.add_land(plotaxes)
    
    # Surge field
    plotfigure = plotdata.new_plotfigure(name='Surge Field', 
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = ((surge_data.wind_forcing or surge_data.pressure_forcing) 
                        and False)
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = full_xlimits
    plotaxes.ylimits = full_ylimits
    plotaxes.title = "Storm Surge Source Term S"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    
    plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
    plotitem.plot_var = surge.pressure_field + 1
    plotitem.pcolor_cmap = plt.get_cmap('PuBu')
    plotitem.pcolor_cmin = 0.0
    plotitem.pcolor_cmax = 1e-3
    plotitem.add_colorbar = True
    plotitem.colorbar_shrink = 0.5
    plotitem.colorbar_label = "Source Strength"
    plotitem.amr_celledges_show = [0,0,0]
    plotitem.amr_patchedges_show = [1,1,1,1,1,0,0]
    
    surge.add_land(plotaxes)

    plotfigure = plotdata.new_plotfigure(name='Friction/Coriolis Source', 
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = False
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = full_xlimits
    plotaxes.ylimits = full_ylimits
    plotaxes.title = "Friction/Coriolis Source"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    
    plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
    plotitem.plot_var = surge.pressure_field + 2
    plotitem.pcolor_cmap = plt.get_cmap('PuBu')
    plotitem.pcolor_cmin = 0.0
    plotitem.pcolor_cmax = 1e-3
    plotitem.add_colorbar = True
    plotitem.colorbar_shrink = 0.5
    plotitem.colorbar_label = "Source Strength"
    plotitem.amr_celledges_show = [0,0,0]
    plotitem.amr_patchedges_show = [1,1,1,1,1,0,0]
    
    surge.add_land(plotaxes)

    # ==========================================================================
    #  Depth
    # ==========================================================================
    plotfigure = plotdata.new_plotfigure(name='Depth - Entire Domain', 
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = False

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

    plotitem = plotaxes.new_plotitem(plot_type='2d_imshow')
    plotitem.plot_var = 0
    plotitem.imshow_cmin = 0
    plotitem.imshow_cmax = 200
    plotitem.imshow_cmap = plt.get_cmap("terrain")
    plotitem.add_colorbar = True
    plotitem.amr_celledges_show = [0,0,0]
    plotitem.amr_patchedges_show = [1,1,1,1,1,1,1,1,1]

    # ========================================================================
    #  Figures for gauges
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Surface, Speeds',   
                                         figno=fig_num_counter.get_counter(),
                                         type='each_gauge')
    plotfigure.show = True
    plotfigure.clf_each_gauge = True

    # Surface and Topography
    plotaxes = plotfigure.new_plotaxes()
    # plotaxes.axescmd = 'subplot(121)'
    try:
        plotaxes.xlimits = [amrdata.t0,amrdata.tfinal]
    except:
        pass
    plotaxes.ylimits = surface_limits
    plotaxes.title = 'Surface'
    plotaxes.afteraxes = surge.gauge_afteraxes
    plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
    plotitem.plot_var = 3
    plotitem.plotstyle = 'b-'

    # # Speeds
    # plotaxes = plotfigure.new_plotaxes()
    # plotaxes.axescmd = 'subplot(122)'
    # try:
    #     plotaxes.xlimits = [amrdata.t0,amrdata.tfinal]
    # except:
    #     pass
    # plotaxes.ylimits = surface_limits
    # plotaxes.title = 'Momenta'
    # plotaxes.afteraxes = surge.gauge_afteraxes

    # plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
    # plotitem.plot_var = 1
    # plotitem.plotstyle = 'r-'
    # plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
    # plotitem.plot_var = 2
    # plotitem.plotstyle = 'b-'




    #-----------------------------------------
    
    # 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_gaugenos = 'all'          # list of gauges 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
示例#12
0
def setplot(plotdata):
    r"""Setplot function for surge plotting"""

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

    fig_num_counter = surge.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 = surge.track_data(os.path.join(plotdata.outdir, 'fort.track'))

    # Calculate landfall time, off by a day, maybe leap year issue?
    if storm_num == 1:
        # Storm 1
        landfall_dt = datetime.datetime(1997, 11, 15, 3) - datetime.datetime(
            1997, 1, 1, 0)
    elif storm_num == 2:
        # Storm 2
        landfall_dt = datetime.datetime(2008, 12, 17, 0) - datetime.datetime(
            2008, 1, 1, 0)

    landfall = (landfall_dt.days) * 24.0 * 60**2 + landfall_dt.seconds

    # Set afteraxes function
    surge_afteraxes = lambda cd: surge.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 = [-5.0, 5.0]
    # 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, 50]
    # 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.gauge_locations(current_data,gaugenos=[6])

    def 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
    # ==========================================================================
    # ==========================================================================
    regions = {
        "Full Domain (Grids)": [[clawdata.lower[0], clawdata.upper[0]],
                                [clawdata.lower[1], clawdata.upper[1]],
                                [1, 1, 1, 1, 1, 1, 1]],
        "Mumbai Regio (Grids)": [[70, 75], [17, 22], [1, 1, 1, 1, 1, 1, 1]],
        "Mumbai (Grids)": [[72.6, 73.15], [18.80, 19.25],
                           [1, 1, 1, 1, 1, 1, 1]],
        "Full Domain (No Grids)": [[clawdata.lower[0], clawdata.upper[0]],
                                   [clawdata.lower[1], clawdata.upper[1]],
                                   [0, 0, 0, 0, 0, 0, 0]],
        "Mumbai Region (No Grids)": [[70, 75], [17, 22], [0, 0, 0, 0, 0, 0,
                                                          0]],
        "Mumbai (No Grids)": [[72.6, 73.15], [18.80, 19.25],
                              [0, 0, 0, 0, 0, 0, 0]]
    }
    full_xlimits = regions['Full Domain (Grids)'][0]
    full_ylimits = regions['Full Domain (Grids)'][1]

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

        #
        #  Surface
        #
        plotfigure = plotdata.new_plotfigure(
            name='Surface - %s' % name, 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 = region_data[0]
        plotaxes.ylimits = region_data[1]
        plotaxes.afteraxes = afteraxes

        surge.add_surface_elevation(plotaxes,
                                    plot_type='pcolor',
                                    bounds=surface_limits)
        # surge.add_surface_elevation(plotaxes, plot_type='contourf',
        #                                        contours=surface_contours)
        surge.add_land(plotaxes, topo_min=-10.0, topo_max=5.0)
        surge.add_bathy_contours(plotaxes)

        if article:
            plotaxes.plotitem_dict['surface'].add_colorbar = False
        else:
            add_custom_colorbar_ticks_to_axes(plotaxes, 'surface',
                                              surface_ticks, surface_labels)
        plotaxes.plotitem_dict['land'].amr_patchedges_show = region_data[2]
        plotaxes.plotitem_dict['surface'].amr_patchedges_show = region_data[2]

        #
        #  Water Speed
        #
        plotfigure = plotdata.new_plotfigure(
            name='Currents - %s' % name, figno=fig_num_counter.get_counter())
        plotfigure.show = True

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

        # Speed
        surge.add_speed(plotaxes, plot_type='pcolor', bounds=speed_limits)
        # surge.add_speed(plotaxes, plot_type='contourf', contours=speed_contours)
        if article:
            plotaxes.plotitem_dict['speed'].add_colorbar = False
        else:
            add_custom_colorbar_ticks_to_axes(plotaxes, 'speed', speed_ticks,
                                              speed_labels)

        # Land
        surge.add_land(plotaxes, topo_min=-10.0, topo_max=5.0)

        plotaxes.plotitem_dict['speed'].amr_patchedges_show = region_data[2]
        plotaxes.plotitem_dict['land'].amr_patchedges_show = region_data[2]

    #
    # Friction field
    #
    plotfigure = plotdata.new_plotfigure(name='Friction',
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = friction_data.variable_friction and False

    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)

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = full_xlimits
    plotaxes.ylimits = full_ylimits
    # plotaxes.title = "Manning's N Coefficient"
    plotaxes.afteraxes = friction_after_axes
    plotaxes.scaled = True

    surge.add_friction(plotaxes, bounds=friction_bounds)
    plotaxes.plotitem_dict['friction'].amr_patchedges_show = [
        0, 0, 0, 0, 0, 0, 0
    ]
    plotaxes.plotitem_dict['friction'].colorbar_label = "$n$"

    # ==========================
    #  Hurricane Forcing fields
    # ==========================
    grids = [[0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1]]
    label = ["(No Grids)", "(Grids)"]
    for i in xrange(2):
        # Pressure field
        plotfigure = plotdata.new_plotfigure(
            name='Pressure %s' % label[i], figno=fig_num_counter.get_counter())
        plotfigure.show = surge_data.pressure_forcing and True

        plotaxes = plotfigure.new_plotaxes()
        plotaxes.xlimits = full_xlimits
        plotaxes.ylimits = full_ylimits
        plotaxes.title = "Pressure Field"
        plotaxes.afteraxes = afteraxes
        plotaxes.scaled = True

        surge.add_pressure(plotaxes, bounds=pressure_limits)
        surge.add_land(plotaxes)
        plotaxes.plotitem_dict['pressure'].amr_patchedges_show = grids[i]
        plotaxes.plotitem_dict['land'].amr_patchedges_show = grids[i]

        # Wind field
        plotfigure = plotdata.new_plotfigure(
            name='Wind Speed %s' % label[i],
            figno=fig_num_counter.get_counter())
        plotfigure.show = surge_data.wind_forcing and True

        plotaxes = plotfigure.new_plotaxes()
        plotaxes.xlimits = full_xlimits
        plotaxes.ylimits = full_ylimits
        plotaxes.title = "Wind Field"
        plotaxes.afteraxes = afteraxes
        plotaxes.scaled = True

        surge.add_wind(plotaxes, bounds=wind_limits, plot_type='pcolor')
        surge.add_land(plotaxes)
        plotaxes.plotitem_dict['wind'].amr_patchedges_show = grids[i]
        plotaxes.plotitem_dict['land'].amr_patchedges_show = grids[i]

    # =====================
    #  Gauge Location Plot
    # =====================
    gauge_xlimits = regions["Mumbai (Grids)"][0]
    gauge_ylimits = regions["Mumbai (Grids)"][1]

    # gauge_location_shrink = 0.75
    def gauge_after_axes(cd):
        # plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.97)
        surge_afteraxes(cd)
        # import pdb; pdb.set_trace()
        surge.gauge_locations(cd, gaugenos=[1, 2, 3])
        plt.title("Gauge Locations")

    plotfigure = plotdata.new_plotfigure(name='Gauge Locations',
                                         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 = gauge_xlimits
    plotaxes.ylimits = gauge_ylimits
    plotaxes.afteraxes = gauge_after_axes
    surge.add_surface_elevation(plotaxes,
                                plot_type='pcolor',
                                bounds=surface_limits)
    # surge.plot.add_surface_elevation(plotaxes, plot_type="contourf")
    add_custom_colorbar_ticks_to_axes(plotaxes, 'surface', surface_ticks,
                                      surface_labels)
    surge.add_land(plotaxes)
    # plotaxes.plotitem_dict['surface'].amr_patchedges_show = [0,0,0,0,0,0,0]
    # plotaxes.plotitem_dict['surface'].add_colorbar = False
    # plotaxes.plotitem_dict['surface'].pcolor_cmap = plt.get_cmap('jet')
    # plotaxes.plotitem_dict['surface'].pcolor_cmap = plt.get_cmap('gist_yarg')
    # plotaxes.plotitem_dict['surface'].pcolor_cmin = 0.0
    # plotaxes.plotitem_dict['surface'].pcolor_cmax = 5.0
    plotaxes.plotitem_dict['surface'].amr_patchedges_show = [
        0, 0, 0, 0, 0, 0, 0
    ]
    plotaxes.plotitem_dict['land'].amr_patchedges_show = [0, 0, 0, 0, 0, 0, 0]

    # ========================================================================
    #  Figures for gauges
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Surface & topo', figno=300, \
                    type='each_gauge')
    plotfigure.show = True
    plotfigure.clf_each_gauge = True

    # plotfigure.kwargs['figsize'] = (16,10)

    def gauge_after_axes(cd):
        if cd.gaugeno in [1, 2, 3]:
            axes = plt.gca()

            # Add GeoClaw gauge data
            geoclaw_gauge = cd.gaugesoln
            axes.plot(
                seconds2days(geoclaw_gauge.t -
                             date2seconds(gauge_landfall[1])),
                geoclaw_gauge.q[3, :], 'b--')

            # Fix up plot
            axes.set_title('Station %s' % cd.gaugeno)
            axes.set_xlabel('Days relative to landfall')
            axes.set_ylabel('Surface (m)')
            axes.set_xlim([-2, 1])
            axes.set_ylim([-1, 5])
            axes.set_xticks([-2, -1, 0, 1])
            axes.set_xticklabels([r"$-2$", r"$-1$", r"$0$", r"$1$"])
            axes.grid(True)
            axes.legend()

            plt.hold(False)

        # surge.gauge_afteraxes(cd)

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = [-2, 1]
    # plotaxes.xlabel = "Days from landfall"
    # plotaxes.ylabel = "Surface (m)"
    plotaxes.ylimits = [-1, 5]
    plotaxes.title = 'Surface'
    plotaxes.afteraxes = gauge_after_axes

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

    #-----------------------------------------

    # Parameters used only when creating html and/or latex hardcopy
    # e.g., via pyclaw.plotters.frametools.printframes:

    if article:
        plotdata.printfigs = True  # print figures
        plotdata.print_format = 'png'  # file format
        plotdata.print_framenos = [54, 60, 66, 72, 78,
                                   84]  # list of frames to print
        plotdata.print_gaugenos = [1, 2, 3]  # list of gauges to print
        plotdata.print_fignos = [4, 5, 6, 7, 10, 3,
                                 300]  # 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 = 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?

    else:
        plotdata.printfigs = True  # print figures
        plotdata.print_format = 'png'  # file format
        plotdata.print_framenos = 'all'  # list of frames to print
        plotdata.print_gaugenos = [1, 2, 3]  # list of gauges 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
示例#13
0
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 = [physics.sea_level - 5.0, physics.sea_level + 5.0]
    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, 3.0]
    speed_ticks = [0, 1, 2, 3]
    speed_labels = [str(value) for value in speed_ticks]
    wind_limits = [0, 64]
    pressure_limits = [935, 1013]
    friction_bounds = [0.01, 0.04]

    def add_custom_colorbar_ticks_to_axes(axes,
                                          item_name,
                                          ticks,
                                          tick_labels=None):
        """Adjust colorbar ticks and labels"""
        axes.plotitem_dict[item_name].colorbar_ticks = ticks
        axes.plotitem_dict[item_name].colorbar_tick_labels = tick_labels

    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
        add_custom_colorbar_ticks_to_axes(plotaxes, 'surface', surface_ticks,
                                          surface_labels)

        # 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
        add_custom_colorbar_ticks_to_axes(plotaxes, 'speed', speed_ticks,
                                          speed_labels)

    #
    # Friction field
    #
    plotfigure = plotdata.new_plotfigure(name='Friction')
    plotfigure.show = friction_data.variable_friction and True

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = regions['Gulf']['xlimits']
    plotaxes.ylimits = regions['Gulf']['ylimits']
    # plotaxes.title = "Manning's N Coefficient"
    plotaxes.afteraxes = friction_after_axes
    plotaxes.scaled = True

    surgeplot.add_friction(plotaxes, bounds=friction_bounds, shrink=0.9)
    plotaxes.plotitem_dict['friction'].amr_patchedges_show = [0] * 10
    plotaxes.plotitem_dict['friction'].colorbar_label = "$n$"

    #
    #  Hurricane Forcing fields
    #
    # Pressure field
    plotfigure = plotdata.new_plotfigure(name='Pressure')
    plotfigure.show = surge_data.pressure_forcing and True

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = regions['Gulf']['xlimits']
    plotaxes.ylimits = regions['Gulf']['ylimits']
    plotaxes.title = "Pressure Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    surgeplot.add_pressure(plotaxes, bounds=pressure_limits)
    surgeplot.add_land(plotaxes)

    # Wind field
    plotfigure = plotdata.new_plotfigure(name='Wind Speed')
    plotfigure.show = surge_data.wind_forcing and True

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = regions['Gulf']['xlimits']
    plotaxes.ylimits = regions['Gulf']['ylimits']
    plotaxes.title = "Wind Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    surgeplot.add_wind(plotaxes, bounds=wind_limits)
    surgeplot.add_land(plotaxes)

    # ========================================================================
    #  Figures for gauges
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Gauge Surfaces',
                                         figno=300,
                                         type='each_gauge')
    plotfigure.show = True
    plotfigure.clf_each_gauge = True

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = [-2, 1]
    # plotaxes.xlabel = "Days from landfall"
    # plotaxes.ylabel = "Surface (m)"
    plotaxes.ylimits = [-1, 5]
    plotaxes.title = 'Surface'

    def gauge_afteraxes(cd):

        axes = plt.gca()
        surgeplot.plot_landfall_gauge(cd.gaugesoln, axes, landfall=landfall)

        # Fix up plot - in particular fix time labels
        axes.set_title('Station %s' % cd.gaugeno)
        axes.set_xlabel('Days relative to landfall')
        axes.set_ylabel('Surface (m)')
        axes.set_xlim([-2, 1])
        axes.set_ylim([-1, 5])
        axes.set_xticks([-2, -1, 0, 1])
        axes.set_xticklabels([r"$-2$", r"$-1$", r"$0$", r"$1$"])
        axes.grid(True)

    plotaxes.afteraxes = gauge_afteraxes

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

    #
    #  Gauge Location Plot
    #
    def gauge_location_afteraxes(cd):
        plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.97)
        surge_afteraxes(cd)
        gaugetools.plot_gauge_locations(cd.plotdata,
                                        gaugenos='all',
                                        format_string='ko',
                                        add_labels=True)

    plotfigure = plotdata.new_plotfigure(name="Gauge Locations")
    plotfigure.show = True

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Gauge Locations'
    plotaxes.scaled = True
    plotaxes.xlimits = [-95.5, -94]
    plotaxes.ylimits = [29.0, 30.0]
    plotaxes.afteraxes = gauge_location_afteraxes
    surgeplot.add_surface_elevation(plotaxes, bounds=surface_limits)
    add_custom_colorbar_ticks_to_axes(plotaxes, 'surface', surface_ticks,
                                      surface_labels)
    surgeplot.add_land(plotaxes)
    plotaxes.plotitem_dict['surface'].amr_patchedges_show = [0] * 10
    plotaxes.plotitem_dict['land'].amr_patchedges_show = [0] * 10

    # -----------------------------------------
    # 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_gaugenos = [1, 2, 3, 4]  # list of gauges 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?
    plotdata.parallel = True  # parallel plotting

    return plotdata
示例#14
0
def setplot(plotdata):
    r"""Setplot function for surge plotting"""
    

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

    fig_num_counter = surge.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 = surge.track_data(os.path.join(plotdata.outdir,'fort.track'))

    # Calculate landfall time, off by a day, maybe leap year issue?
    landfall_dt = datetime.datetime(2013,10,5,0) - datetime.datetime(2013,1,1,0)
    landfall = (landfall_dt.days - 1.0) * 24.0 * 60**2 + landfall_dt.seconds

    # Set afteraxes function
    surge_afteraxes = lambda cd: surge.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.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

    surge.add_surface_elevation(plotaxes, plot_type='contourf', 
                                               contours=surface_contours,
                                               shrink=gulf_shrink)
    surge.add_land(plotaxes,topo_min=-10.0,topo_max=5.0)
    # surge.add_bathy_contours(plotaxes)
    if article:
        plotaxes.plotitem_dict['surface'].add_colorbar = False
    else:
        add_custom_colorbar_ticks_to_axes(plotaxes, 'surface', surface_ticks, surface_labels)
    plotaxes.plotitem_dict['surface'].amr_patchedges_show = [1,1,1,1,1,1,1,1]

    #
    #  Water Speed
    #
    plotfigure = plotdata.new_plotfigure(name='Currents - Entire Domain',  
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = True

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Currents'
    plotaxes.scaled = True
    plotaxes.xlimits = gulf_xlimits
    plotaxes.ylimits = gulf_ylimits
    plotaxes.afteraxes = gulf_after_axes

    # Speed
    surge.add_speed(plotaxes, plot_type='contourf', 
                                   contours=speed_contours, 
                                   shrink=gulf_shrink)
    if article:
        plotaxes.plotitem_dict['speed'].add_colorbar = False
    else:
        add_custom_colorbar_ticks_to_axes(plotaxes, 'speed', speed_ticks, speed_labels)

    # Land
    surge.add_land(plotaxes)
    surge.add_bathy_contours(plotaxes)    

    #
    # Friction field
    #
    plotfigure = plotdata.new_plotfigure(name='Friction',
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = friction_data.variable_friction and True

    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)

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = gulf_xlimits
    plotaxes.ylimits = gulf_ylimits
    # plotaxes.title = "Manning's N Coefficient"
    plotaxes.afteraxes = friction_after_axes
    plotaxes.scaled = True

    surge.add_friction(plotaxes,bounds=friction_bounds,shrink=0.9)
    plotaxes.plotitem_dict['friction'].amr_patchedges_show = [0,0,0,0,0,0,0]
    plotaxes.plotitem_dict['friction'].colorbar_label = "$n$"


    # ========================================================================
    #  LaTex Shelf
    # ========================================================================
    latex_xlimits = [-97.5,-88.5]
    latex_ylimits = [27.5,30.5]
    latex_shrink = 1.0
    def latex_after_axes(cd):
        if article:
            plt.subplots_adjust(left=0.07, bottom=0.14, right=1.0, top=0.86)
        else:
            plt.subplots_adjust(right=1.0)
        surge_afteraxes(cd)

    #
    # Surface
    #
    plotfigure = plotdata.new_plotfigure(name='Surface - LaTex Shelf', 
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = True
    if article:
        plotfigure.kwargs = {'figsize':(8,2.7), 'facecolor':'none'}
    else:
        plotfigure.kwargs = {'figsize':(9,2.7), 'facecolor':'none'}

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Surface'
    plotaxes.scaled = True
    plotaxes.xlimits = latex_xlimits
    plotaxes.ylimits = latex_ylimits
    plotaxes.afteraxes = latex_after_axes
    
    surge.add_surface_elevation(plotaxes, plot_type='contourf', 
                                               contours=surface_contours,
                                               shrink=latex_shrink)

    if article:
        plotaxes.plotitem_dict['surface'].add_colorbar = False
        # plotaxes.afteraxes = lambda cd: article_latex_after_axes(cd, landfall)
    else:
        add_custom_colorbar_ticks_to_axes(plotaxes, 'surface', [-5,-2.5,0,2.5,5.0], 
                                    ["-5.0","-2.5"," 0"," 2.5"," 5.0"])
    # plotaxes.plotitem_dict['surface'].contour_cmap = plt.get_cmap('OrRd')
    # surge.add_surface_elevation(plotaxes,plot_type='contour')
    surge.add_land(plotaxes)
    # plotaxes.plotitem_dict['surface'].amr_patchedges_show = [1,1,1,0,0,0,0]
    plotaxes.plotitem_dict['surface'].amr_patchedges_show = [0,0,0,0,0,0,0]
    # plotaxes.plotitem_dict['land'].amr_patchedges_show = [1,1,1,0,0,0,0]
    plotaxes.plotitem_dict['land'].amr_patchedges_show = [0,0,0,0,0,0,0]

    # Plot using jet and 0.0 to 5.0 to match figgen generated ADCIRC results
    # plotaxes.plotitem_dict['surface'].pcolor_cmin = 0.0
    # plotaxes.plotitem_dict['surface'].pcolor_cmax = 5.0
    # plotaxes.plotitem_dict['surface'].pcolor_cmap = plt.get_cmap('jet')

    #
    # Water Speed
    #
    plotfigure = plotdata.new_plotfigure(name='Currents - LaTex Shelf',  
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = True
    if article:
        plotfigure.kwargs = {'figsize':(8,2.7), 'facecolor':'none'}
    else:
        plotfigure.kwargs = {'figsize':(9,2.7), 'facecolor':'none'}

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Currents'
    plotaxes.scaled = True
    plotaxes.xlimits = latex_xlimits
    plotaxes.ylimits = latex_ylimits
    plotaxes.afteraxes = latex_after_axes
    
    surge.add_speed(plotaxes, plot_type='contourf', 
                                   contours=speed_contours, 
                                   shrink=latex_shrink)

    if article:
        plotaxes.plotitem_dict['speed'].add_colorbar = False
    else:
        add_custom_colorbar_ticks_to_axes(plotaxes, 'speed', speed_ticks, speed_labels)
    # surge.add_surface_elevation(plotaxes,plot_type='contour')
    surge.add_land(plotaxes)
    # plotaxes.plotitem_dict['speed'].amr_patchedges_show = [1,1,0,0,0,0,0]
    # plotaxes.plotitem_dict['land'].amr_patchedges_show = [1,1,1,0,0,0,0]
    plotaxes.plotitem_dict['speed'].amr_patchedges_show = [0,0,0,0,0,0,0]
    plotaxes.plotitem_dict['land'].amr_patchedges_show = [0,0,0,0,0,0,0]


    # ==========================
    #  Hurricane Forcing fields
    # ==========================
    
    # Pressure field
    plotfigure = plotdata.new_plotfigure(name='Pressure',  
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = surge_data.pressure_forcing and True
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = gulf_xlimits
    plotaxes.ylimits = gulf_ylimits
    plotaxes.title = "Pressure Field"
    plotaxes.afteraxes = gulf_after_axes
    plotaxes.scaled = True
    
    surge.add_pressure(plotaxes, bounds=pressure_limits, shrink=gulf_shrink)
    surge.add_land(plotaxes)
    
    # Wind field
    plotfigure = plotdata.new_plotfigure(name='Wind Speed', 
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = surge_data.wind_forcing and True
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = gulf_xlimits
    plotaxes.ylimits = gulf_ylimits
    plotaxes.title = "Wind Field"
    plotaxes.afteraxes = gulf_after_axes
    plotaxes.scaled = True
    
    surge.add_wind(plotaxes, bounds=wind_limits, plot_type='pcolor',
                                  shrink=gulf_shrink)
    surge.add_land(plotaxes)

    # ========================================================================
    #  Figures for gauges
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Surface & topo', figno=300, \
                    type='each_gauge')
    plotfigure.show = True
    plotfigure.clf_each_gauge = True
    plotfigure.kwargs['figsize'] = (16,10)

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = [-2,1]
    # plotaxes.xlabel = "Days from landfall"
    # plotaxes.ylabel = "Surface (m)"
    plotaxes.ylimits = [-1,5]
    plotaxes.title = 'Surface'
    # plotaxes.afteraxes = gauge_after_axes

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

    # =====================
    #  Gauge Location Plot
    # =====================
    gauge_xlimits = [-95.5, -94]
    gauge_ylimits = [29.0, 30.0]
    gauge_location_shrink = 0.75
    def gauge_after_axes(cd):
        # plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.97)
        surge_afteraxes(cd)
        surge.gauge_locations(cd, gaugenos=[1, 2, 3, 4])
        plt.title("Gauge Locations")

    plotfigure = plotdata.new_plotfigure(name='Gauge Locations',  
                                         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 = gauge_xlimits
    plotaxes.ylimits = gauge_ylimits
    plotaxes.afteraxes = gauge_after_axes
    
    surge.add_surface_elevation(plotaxes, plot_type='contourf', 
                                               contours=surface_contours,
                                               shrink=gauge_location_shrink)
    # surge.add_surface_elevation(plotaxes, plot_type="contourf")
    add_custom_colorbar_ticks_to_axes(plotaxes, 'surface', surface_ticks, surface_labels)
    surge.add_land(plotaxes)
    # plotaxes.plotitem_dict['surface'].amr_patchedges_show = [0,0,0,0,0,0,0]
    # plotaxes.plotitem_dict['surface'].add_colorbar = False
    # plotaxes.plotitem_dict['surface'].pcolor_cmap = plt.get_cmap('jet')
    # plotaxes.plotitem_dict['surface'].pcolor_cmap = plt.get_cmap('gist_yarg')
    # plotaxes.plotitem_dict['surface'].pcolor_cmin = 0.0
    # plotaxes.plotitem_dict['surface'].pcolor_cmax = 5.0
    plotaxes.plotitem_dict['surface'].amr_patchedges_show = [0,0,0,0,0,0,0]
    plotaxes.plotitem_dict['land'].amr_patchedges_show = [0,0,0,0,0,0,0]
    

    #-----------------------------------------

    # Parameters used only when creating html and/or latex hardcopy
    # e.g., via pyclaw.plotters.frametools.printframes:

    if article:
        plotdata.printfigs = True                # print figures
        plotdata.print_format = 'png'            # file format
        plotdata.print_framenos = [54,60,66,72,78,84]            # list of frames to print
        plotdata.print_gaugenos = [1,2,3,4]          # list of gauges to print
        plotdata.print_fignos = [4,5,6,7,10,3,300]            # 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 = 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?

    else:
        plotdata.printfigs = True                # print figures
        plotdata.print_format = 'png'            # file format
        plotdata.print_framenos = 'all'            # list of frames to print
        plotdata.print_gaugenos = [1,2,3,4]          # list of gauges 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
示例#15
0
def setplot(plotdata):

    plotdata.clearfigures()
    plotdata.format = 'binary'

    # 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'))

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

    def friction_after_axes(cd):
        plt.title(r"Manning's $n$ Coefficient")

    # Color limits
    surface_limits = [-5.0, 5.0]
    speed_limits = [0.0, 3.0]
    wind_limits = [0, 45]
    pressure_limits = [940, 1013]
    friction_bounds = [0.01, 0.04]

    # ==========================================================================
    #   Plot specifications
    # ==========================================================================
    # Specify set of zooms for plotting
    regions = {"World": {"xlimits": (clawdata.lower[0], clawdata.upper[0]),
                         "ylimits": (clawdata.lower[1], clawdata.upper[1]),
                         "figsize": (6.4 * 2, 4.8)}}

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

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

        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)
        if 'figsize' in region_dict.keys():
            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
        plotaxes.scaled = True

        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

    #
    #  Hurricane Forcing fields
    #
    # Pressure field
    plotfigure = plotdata.new_plotfigure(name='Pressure')
    plotfigure.show = surge_data.pressure_forcing and True

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = regions['World']['xlimits']
    plotaxes.ylimits = regions['World']['ylimits']
    if 'figsize' in regions['World'].keys():
        plotfigure.kwargs = {"figsize": regions['World']['figsize']}
    plotaxes.title = "Pressure Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    surgeplot.add_pressure(plotaxes, bounds=pressure_limits)
    surgeplot.add_land(plotaxes)

    # Wind field
    plotfigure = plotdata.new_plotfigure(name='Wind Speed')
    plotfigure.show = surge_data.wind_forcing and True

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = regions['World']['xlimits']
    plotaxes.ylimits = regions['World']['ylimits']
    if 'figsize' in regions['World'].keys():
        plotfigure.kwargs = {"figsize": regions['World']['figsize']}
    plotaxes.title = "Wind Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    surgeplot.add_wind(plotaxes, bounds=wind_limits)
    surgeplot.add_land(plotaxes)

    # ========================================================================
    #  Figures for gauges
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Gauge Surfaces', figno=300,
                                         type='each_gauge')
    plotfigure.show = True
    plotfigure.clf_each_gauge = True

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = [-2, 1]
    # plotaxes.xlabel = "Days from landfall"
    # plotaxes.ylabel = "Surface (m)"
    plotaxes.ylimits = [-1, 5]
    plotaxes.title = 'Surface'

    def gauge_afteraxes(cd):

        axes = plt.gca()
        surgeplot.plot_landfall_gauge(cd.gaugesoln, axes)

        # Fix up plot - in particular fix time labels
        axes.set_title('Station %s' % cd.gaugeno)
        axes.set_xlabel('Days relative to landfall')
        axes.set_ylabel('Surface (m)')
        axes.set_xlim([-2, 1])
        axes.set_ylim([-1, 5])
        axes.set_xticks([-2, -1, 0, 1])
        axes.set_xticklabels([r"$-2$", r"$-1$", r"$0$", r"$1$"])
        axes.grid(True)
    plotaxes.afteraxes = gauge_afteraxes

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

    #
    #  Gauge Location Plot
    #
    def gauge_location_afteraxes(cd):
        plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.97)
        surge_afteraxes(cd)
        gaugetools.plot_gauge_locations(cd.plotdata, gaugenos='all',
                                        format_string='ko', add_labels=True)

    plotfigure = plotdata.new_plotfigure(name="Gauge Locations")
    plotfigure.show = True

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Gauge Locations'
    plotaxes.scaled = True
    if 'figsize' in regions['World'].keys():
        plotfigure.kwargs = {"figsize": regions['World']['figsize']}
    plotaxes.xlimits = regions['World']["xlimits"]
    plotaxes.ylimits = regions['World']["ylimits"]
    plotaxes.afteraxes = gauge_location_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

    # -----------------------------------------
    # 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_gaugenos = [1, 2, 3, 4]   # list of gauges 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?
    plotdata.parallel = True                 # parallel plotting

    return plotdata
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'))

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

    # Color limits

    surface_limits = [-4.0, 4.0]
    speed_limits = [0.0, 3.0]
    wind_limits = [0, 64]
    pressure_limits = [935, 1013]
    friction_bounds = [0.01, 0.04]
    '''
    surface_limits = [-2.0, 2.0]
    speed_limits = [0.0, 3.0]
    wind_limits = [0, 70]
    pressure_limits = [990, 1010]
    friction_bounds = [0.01, 0.04]
    '''

    def friction_after_axes(cd):
        plt.title(r"Manning's $n$ Coefficient")

    # ==========================================================================
    #   Plot specifications
    # ==========================================================================
    # surface region
    regions = {
        "Gulf": {
            "xlimits": (clawdata.lower[0], clawdata.upper[0]),
            "ylimits": (clawdata.lower[1], clawdata.upper[1]),
            "figsize": (6.4, 3.2)
        },
        "LaTex Shelf": {
            "xlimits": (-94.5, -86),
            "ylimits": (27, 32),
            "figsize": (10, 5)
        }
    }

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

        # 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

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = regions['Gulf']['xlimits']
    plotaxes.ylimits = regions['Gulf']['ylimits']
    # plotaxes.title = "Manning's N Coefficient"
    plotaxes.afteraxes = friction_after_axes
    plotaxes.scaled = True

    surgeplot.add_friction(plotaxes, bounds=friction_bounds, shrink=0.9)
    plotaxes.plotitem_dict['friction'].amr_patchedges_show = [0] * 10
    plotaxes.plotitem_dict['friction'].colorbar_label = "$n$"

    #
    #  Hurricane Forcing fields
    #
    # Pressure field
    plotfigure = plotdata.new_plotfigure(name='Pressure')
    plotfigure.show = surge_data.pressure_forcing and True

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = regions['Gulf']['xlimits']
    plotaxes.ylimits = regions['Gulf']['ylimits']
    plotaxes.title = "Pressure Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    surgeplot.add_pressure(plotaxes, bounds=pressure_limits)
    surgeplot.add_land(plotaxes)

    # Wind field
    plotfigure = plotdata.new_plotfigure(name='Wind Speed')
    plotfigure.show = surge_data.wind_forcing and True

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = regions['Gulf']['xlimits']
    plotaxes.ylimits = regions['Gulf']['ylimits']
    plotaxes.title = "Wind Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    surgeplot.add_wind(plotaxes, bounds=wind_limits)
    surgeplot.add_land(plotaxes)
    plotaxes.plotitem_dict['wind'].amr_patchedges_show = [0] * 10  # added

    # ========================================================================
    #  Figures for gauges
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Gauge Surfaces',
                                         figno=300,
                                         type='each_gauge')
    plotfigure.show = True
    plotfigure.clf_each_gauge = True

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = [-2, 1]
    # plotaxes.xlabel = "Days from landfall"
    # plotaxes.ylabel = "Surface (m)"
    plotaxes.ylimits = [-1.0, 2.5]
    plotaxes.title = 'Surface'

    def gauge_afteraxes(cd):
        axes = plt.gca()
        surgeplot.plot_landfall_gauge(cd.gaugesoln, axes)
        gauge_id = ['8770822', '8768094', '8764227', '8761305', '8760922']
        gauge_title = [
            'Texas Point, Sabine Pass, TX', 'Calcasieu Pass, LA',
            'LAWMA, Amerada Pass, LA', 'Shell Beach, LA',
            'Pilots Station East, S.W. Pass, LA'
        ]
        if (cd.gaugeno < 6):
            realData = util.fetch_noaa_tide_data(gauge_id[cd.gaugeno - 1],
                                                 datetime.datetime(2019,
                                                                   7,
                                                                   10,
                                                                   hour=12),
                                                 datetime.datetime(2019,
                                                                   7,
                                                                   16,
                                                                   hour=12),
                                                 datum='MLLW')
            values = realData[1] - realData[2]
            times = []
            for time in realData[0]:
                times.append(
                    (time - numpy.datetime64("2019-07-13T15:00")).astype(float)
                    / 1440)
        plt.plot(times, values, color='orange', label='real')

        axes.set_title('Gauge %s: %s' %
                       (cd.gaugeno,
                        gauge_title[cd.gaugeno - 1]))  # i for i in gauge_title
        axes.set_xlabel('Days relative to landfall')
        axes.set_ylabel('Surface (m)')
        axes.set_xlim([-2, 1])
        axes.set_ylim([-1.0, 2.5])
        axes.set_xticks([-2, -1, 0, 1])
        axes.set_xticklabels([r"$-2$", r"$-1$", r"$0$", r"$1$"])
        axes.grid(True)

    plotaxes.afteraxes = gauge_afteraxes

    # Plot surface as blue curve:
    plotitem = plotaxes.new_plotitem(plot_type='1d_plot')

    # plotitem.plot_var = 3
    # plotitem.plotstyle = 'b-'

    #
    #  Gauge Location Plot
    #

    # All gauges
    def gauge_location_afteraxes(cd):
        plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.97)
        surge_afteraxes(cd)
        gaugetools.plot_gauge_locations(cd.plotdata,
                                        gaugenos='all',
                                        format_string='ko',
                                        add_labels=True)

    plotfigure = plotdata.new_plotfigure(name="Gauge Location")
    plotfigure.show = True

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Gauge Locations'
    plotaxes.scaled = True
    plotaxes.xlimits = [-95, -88.5]
    plotaxes.ylimits = [28, 31]
    plotaxes.afteraxes = gauge_location_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

    # Gauge 01: Texas Point, Sabine Pass, TX [8770822]
    def gauge_location_afteraxes1(cd):
        plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.97)
        surge_afteraxes(cd)
        gaugetools.plot_gauge_locations(cd.plotdata,
                                        gaugenos=[1],
                                        format_string='ko',
                                        add_labels=True)

    plotfigure = plotdata.new_plotfigure(name="Gauge 01")
    plotfigure.show = True

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Gauge 01 Location'
    plotaxes.scaled = True
    plotaxes.xlimits = [-93.84 - 0.2, -93.84 + 0.2]
    plotaxes.ylimits = [29.69 - 0.2, 29.69 + 0.2]
    plotaxes.afteraxes = gauge_location_afteraxes1
    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

    # Gauge 02: Calcasieu Pass, LA [8768094]
    def gauge_location_afteraxes2(cd):
        plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.97)
        surge_afteraxes(cd)
        gaugetools.plot_gauge_locations(cd.plotdata,
                                        gaugenos=[2],
                                        format_string='ko',
                                        add_labels=True)

    plotfigure = plotdata.new_plotfigure(name="Gauge 02")
    plotfigure.show = True

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Gauge 02 Location'
    plotaxes.scaled = True
    plotaxes.xlimits = [-93.34 - 0.2, -93.34 + 0.2]
    plotaxes.ylimits = [29.77 - 0.2, 29.77 + 0.2]
    plotaxes.afteraxes = gauge_location_afteraxes2
    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

    # Gauge 03: LAWMA, Amerada Pass, LA [8764227]
    def gauge_location_afteraxes3(cd):
        plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.97)
        surge_afteraxes(cd)
        gaugetools.plot_gauge_locations(cd.plotdata,
                                        gaugenos=[3],
                                        format_string='ko',
                                        add_labels=True)

    plotfigure = plotdata.new_plotfigure(name="Gauge 03")
    plotfigure.show = True

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Gauge 03 Location'
    plotaxes.scaled = True
    plotaxes.xlimits = [-91.34 - 0.2, -91.34 + 0.2]
    plotaxes.ylimits = [29.45 - 0.2, 29.45 + 0.2]
    plotaxes.afteraxes = gauge_location_afteraxes3
    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

    # Gauge 04: Shell Beach, LA [8761305]
    def gauge_location_afteraxes4(cd):
        plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.97)
        surge_afteraxes(cd)
        gaugetools.plot_gauge_locations(cd.plotdata,
                                        gaugenos=[4],
                                        format_string='ko',
                                        add_labels=True)

    plotfigure = plotdata.new_plotfigure(name="Gauge 04")
    plotfigure.show = True

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Gauge 04 Location'
    plotaxes.scaled = True
    plotaxes.xlimits = [-89.67 - 0.2, -89.67 + 0.2]
    plotaxes.ylimits = [29.87 - 0.2, 29.87 + 0.2]
    plotaxes.afteraxes = gauge_location_afteraxes4
    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

    # Gauge 05: Pilots Station East, S.W. Pass, LA [8760922]
    def gauge_location_afteraxes5(cd):
        plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.97)
        surge_afteraxes(cd)
        gaugetools.plot_gauge_locations(cd.plotdata,
                                        gaugenos=[5],
                                        format_string='ko',
                                        add_labels=True)

    plotfigure = plotdata.new_plotfigure(name="Gauge 05")
    plotfigure.show = True

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Gauge 05 Location'
    plotaxes.scaled = True
    plotaxes.xlimits = [-89.41 - 0.2, -89.41 + 0.2]
    plotaxes.ylimits = [28.93 - 0.2, 28.93 + 0.2]
    plotaxes.afteraxes = gauge_location_afteraxes5
    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

    # -----------------------------------------
    # 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_gaugenos = [1, 2, 3, 4, 5]  # list of gauges 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?
    plotdata.parallel = True  # parallel plotting

    return plotdata
示例#17
0
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'))

    # Set afteraxes function
    def surge_afteraxes(cd):
        surgeplot.surge_afteraxes(cd, track, 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]
    color_limits=[0,50]
    def friction_after_axes(cd):
        plt.title(r"Manning's $n$ Coefficient")

    # ==========================================================================
    #   Plot specifications
    # ==========================================================================
    regions = {"Atlantic": {"xlimits": (clawdata.lower[0], clawdata.upper[0]),
                        "ylimits": (clawdata.lower[1], clawdata.upper[1]),
                        "figsize": (6.4, 4.8)},
	       "Atlantic City, NJ": {"xlimits": (-78, -74),
		       	"ylimits": (32,36),
			"figsize": (10.5, 11.5)},
           "ChesapeakeBay Shelf": {"xlimits": (-77, -75),
                               "ylimits": (36, 38),
                               "figsize": (5, 6)},
	       "Manhattan Shelf": {"xlimits": (-75,-73),
			       "ylimits": (38,40),
			       "figsize": (5,6)},
	       "Sandy Hook, NJ": {"xlimits": (-76,-73),
				"ylimits": (38,41),
				"figsize":(5,6)},
           "New Haven CT": {"xlimits": (-77,-73),
				"ylimits": (39,41),
				"figsize":(5,6)},
              "New London CT": {"xlimits": (-74,-70),
				"ylimits": (39,43),
				"figsize":(5,6)},
              "Boston MA": {"xlimits": (-72,-68),
				"ylimits": (40,44),
				"figsize":(5,6)}}

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

        # 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,bounds=color_limits)
        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

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = regions['Atlantic']['xlimits']
    plotaxes.ylimits = regions['Atlantic']['ylimits']
    # plotaxes.title = "Manning's N Coefficient"
    plotaxes.afteraxes = friction_after_axes
    plotaxes.scaled = True

    surgeplot.add_friction(plotaxes, bounds=friction_bounds, shrink=0.9)
    plotaxes.plotitem_dict['friction'].amr_patchedges_show = [0] * 10
    plotaxes.plotitem_dict['friction'].colorbar_label = "$n$"

    #
    #  Hurricane Forcing fields
    #
    # Pressure field
    plotfigure = plotdata.new_plotfigure(name='Pressure')
    plotfigure.show = surge_data.pressure_forcing and True

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = regions['Atlantic']['xlimits']
    plotaxes.ylimits = regions['Atlantic']['ylimits']
    plotaxes.title = "Pressure Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    surgeplot.add_pressure(plotaxes, bounds=pressure_limits)
    surgeplot.add_land(plotaxes)

    # Wind field
    plotfigure = plotdata.new_plotfigure(name='Wind Speed')
    plotfigure.show = surge_data.wind_forcing and True

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = regions['Atlantic']['xlimits']
    plotaxes.ylimits = regions['Atlantic']['ylimits']
    plotaxes.title = "Wind Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    surgeplot.add_wind(plotaxes, bounds=wind_limits)
    surgeplot.add_land(plotaxes)

    # ========================================================================
    #  Figures for gauges
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Gauge Surfaces', figno=300,
                                         type='each_gauge')
    plotfigure.show = True
    plotfigure.clf_each_gauge = True

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = [-3, 3]
    # plotaxes.xlabel = "Days from landfall"
    # plotaxes.ylabel = "Surface (m)"
    plotaxes.ylimits = [0,1.5]
    plotaxes.title = 'Surface'
    #Gauge Data from NOAA
    try:
        gauges = [np.loadtxt('gauge_data_1.txt'), 
	       np.loadtxt('gauge_data_2.txt'), 
	       np.loadtxt('gauge_data3.txt'), 
               np.loadtxt('gauge_data_4.txt'),
               np.loadtxt('gauge_data_5.txt'),
	       np.loadtxt('gauge_data_6.txt')]
        #Legend with Gauge Locations
        data_names = ["Duke Marine Lab, NC Data from NOAA",
                 "Kiptopeke Beach, NC Data from NOAA",
                 "Atlantic City, NJ Data from NOAA",
                 "Sandy Hook, NJ Data from NOAA",
                 "New London, CT Data from NOAA",
                 "Boston, MA Data from NOAA"]
    except:
        print("Add gauge files to directory")
    

    def gauge_afteraxes(cd):
        axes = plt.gca()
        surgeplot.plot_landfall_gauge(cd.gaugesoln, axes)

        # Fix up plot - in particular fix time labels
        axes.set_title('Station %s' % cd.gaugeno)
        axes.set_xlabel('Days relative to landfall')
        axes.set_ylabel('Surface (m)')
        axes.set_xlim([-3, 3])
        axes.set_ylim([0,1.5])
        axes.set_xticks([-3, -2, -1, 0, 1, 2, 3])
        axes.set_xticklabels([r"$-3$",r"$-2$",r"$-1$", r"$0$", r"$1$", r"$2$", r"$3$"])
        axes.grid(True)
        
        
    try:
        gauge_data=gauges[cd.gaugeno-1]
        axes.plot(gauge_data[:,0], gauge_data[:,1], label=data_names[cd.gaugeno-1])
        axes.legend()
    except:
            print('Gauge Data Unavailable')
    plotaxes.afteraxes = gauge_afteraxes
        
    

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

    #
    #  Gauge Location Plot
    #
    def gauge_location_afteraxes(cd):
        plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.97)
        surge_afteraxes(cd)
        gaugetools.plot_gauge_locations(cd.plotdata, gaugenos='all',
                                        format_string='ko', add_labels=True)

    plotfigure = plotdata.new_plotfigure(name="Gauge Locations")
    plotfigure.show = True

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Gauge Locations'
    plotaxes.scaled = True
    plotaxes.xlimits = [-81, -70]
    plotaxes.ylimits = [33,45]
    plotaxes.afteraxes = gauge_location_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
    #---------------

    # -----------------------------------------
    # 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_gaugenos = [1, 2, 3, 4, 5, 6]   # list of gauges 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?
    plotdata.parallel = True                 # parallel plotting

    return plotdata
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 = 'binary'

    # 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'))

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

    # Color limits
    surface_range = 5.0
    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, 3.0]
    wind_limits = [0, 64]
    pressure_limits = [935, 1013]
    friction_bounds = [0.01, 0.04]

    def friction_after_axes(cd):
        plt.title(r"Manning's $n$ Coefficient")

    # ==========================================================================
    #   Plot specifications
    # ==========================================================================
    regions = {
        "Entire Region": {
            "xlimits": (clawdata.lower[0], clawdata.upper[0]),
            "ylimits": (clawdata.lower[1], clawdata.upper[1]),
            "figsize": (13, 10)
        },
        "Caribbean Sub-region": {
            "xlimits": (-86, -58.0),
            "ylimits": (9, 28),
            "figsize": (16, 6)
        },
    }

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

        # 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 = [1] * 10
        plotaxes.plotitem_dict['land'].amr_patchedges_show = [1] * 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 False

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = regions['Entire Region']['xlimits']
    plotaxes.ylimits = regions['Entire Region']['ylimits']
    # plotaxes.title = "Manning's N Coefficient"
    plotaxes.afteraxes = friction_after_axes
    plotaxes.scaled = True

    surgeplot.add_friction(plotaxes, bounds=friction_bounds, shrink=0.9)
    plotaxes.plotitem_dict['friction'].amr_patchedges_show = [0] * 10
    plotaxes.plotitem_dict['friction'].colorbar_label = "$n$"

    #
    #  Hurricane Forcing fields
    #
    # Pressure field
    plotfigure = plotdata.new_plotfigure(name='Pressure')
    plotfigure.show = surge_data.pressure_forcing and False

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = regions['Entire Region']['xlimits']
    plotaxes.ylimits = regions['Entire Region']['ylimits']
    plotaxes.title = "Pressure Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    surgeplot.add_pressure(plotaxes, bounds=pressure_limits)
    surgeplot.add_land(plotaxes)

    # Wind field
    plotfigure = plotdata.new_plotfigure(name='Wind Speed')
    plotfigure.show = surge_data.wind_forcing and True

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = regions['Entire Region']['xlimits']
    plotaxes.ylimits = regions['Entire Region']['ylimits']
    plotaxes.title = "Wind Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    surgeplot.add_wind(plotaxes, bounds=wind_limits)
    surgeplot.add_land(plotaxes)

    # ========================================================================
    #  Figures for gauges
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Gauge Surfaces',
                                         figno=300,
                                         type='each_gauge')
    plotfigure.show = True
    plotfigure.clf_each_gauge = True

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = [-2, 1]
    # plotaxes.xlabel = "Days from landfall"
    # plotaxes.ylabel = "Surface (m)"
    plotaxes.ylimits = [-1, 5]
    plotaxes.title = 'Surface'

    def gauge_afteraxes(cd):

        axes = plt.gca()
        surgeplot.plot_landfall_gauge(cd.gaugesoln, axes)

        # Fix up plot - in particular fix time labels
        axes.set_title('Station %s' % cd.gaugeno)
        axes.set_xlabel('Days relative to landfall')
        axes.set_ylabel('Surface (m)')
        axes.set_xlim([-2, 1])
        axes.set_ylim([-1, 5])
        axes.set_xticks([-2, -1, 0, 1])
        axes.set_xticklabels([r"$-2$", r"$-1$", r"$0$", r"$1$"])
        axes.grid(True)

    plotaxes.afteraxes = gauge_afteraxes

    # Plot surface as blue curve:
    plotitem = plotaxes.new_plotitem(plot_type='1d_plot')

    # plotitem.plot_var = 3
    # plotitem.plotstyle = 'b-'

    #
    #  Gauge Location Plot
    #
    def gauge_location_afteraxes(cd):
        plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.97)
        surge_afteraxes(cd)
        gaugetools.plot_gauge_locations(cd.plotdata,
                                        gaugenos='all',
                                        format_string='ko',
                                        add_labels=True)

    plotfigure = plotdata.new_plotfigure(name="Gauge Locations")
    plotfigure.show = True

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Gauge Locations'
    plotaxes.scaled = True
    plotaxes.xlimits = [clawdata.lower[0], clawdata.upper[0]]
    plotaxes.ylimits = [clawdata.lower[1], clawdata.upper[1]]
    plotaxes.afteraxes = gauge_location_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

    #-----------------------------------------
    # Figures for fgmax plots
    #-----------------------------------------

    from clawpack.geoclaw import fgmax_tools
    fgmax_plotdir = '_plots'
    os.system('mkdir -p %s' % fgmax_plotdir)
    # Read fgmax data:
    fgno = 1
    while (True):
        fg = fgmax_tools.FGmaxGrid()
        try:
            fg.read_fgmax_grids_data(fgno)

            fg.read_output(outdir=plotdata.outdir)

            fg.B0 = fg.B  # no seafloor deformation in this problem
            fg.h_onshore = np.ma.masked_where(fg.B0 < 0., fg.h)
            plt.figure(figsize=(20, 20))

            pc = plt.pcolormesh(fg.X, fg.Y, fg.h_onshore, cmap='hot_r')
            cb = plt.colorbar(pc, extend='max', shrink=0.7)
            cb.set_label('meters')
            plt.contour(fg.X, fg.Y, fg.B, [0], colors='g')

            plt.gca().set_aspect(1. / np.cos(48 * np.pi / 180.))
            plt.ticklabel_format(useOffset=False)
            plt.xticks(rotation=20)
            plt.title('Maximum Onshore flow depth\nfgmax grid {fgno}')
            img_name = f'fgmax{str(fgno).zfill(4)}_h_onshore.png'
            plt.savefig(fname=f'{fgmax_plotdir}/{img_name}')
            otherfigure = plotdata.new_otherfigure(
                name=f'max depth on fgmax grid {fgno}', fname=img_name)
            fgno = fgno + 1
        except:
            break

    # -----------------------------------------
    # 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_gaugenos = 'all'  # list of gauges to print
    plotdata.print_fignos = 'all'  # list of figures to print
    plotdata.html = True  # create html files of plots?
    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  # parallel plotting

    return plotdata
示例#19
0
def setplot(plotdata):
    r"""Setplot function for surge plotting"""
    

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

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

    # Load storm track32
    track = surge.track_data(os.path.join(plotdata.outdir,'fort.track'))

    # Set afteraxes function
    def surge_afteraxes(cd):
        return surge.surge_afteraxes(cd, track, plot_direction=False)

    # Limits for plots
    dx = 0.5
    dy = 0.5
    regions = [{"name": "Full Domain",
                "limits": [[clawdata.lower[0], clawdata.upper[0]],
                           [clawdata.lower[1], clawdata.upper[1]]]},
               {"name": "New Orleans",
                "limits": [[-92.5, -87.5], [27.5, 31.5]]},
               {"name": "Grand Isle",
                "limits": [[-89.41 - dx, -89.41 + dx],
                           [29.26 - dx, 29.26 + dx]]},
               {"name": "Pilots Station East",
                "limits": [[-89.41 - dx, -89.41 + dx],
                           [28.93 - dy, 28.93 + dy]]},
               {"name": "Dauphin Island",
                "limits": [[-88.08 - dx, -88.08 + dx],
                           [30.25 - dy, 30.25 + dy]]}]

    # Color limits
    surface_limits = [physics.sea_level - 5.0, physics.sea_level + 5.0]
    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, 3.0]
    speed_ticks = [0, 1, 2, 3]
    speed_labels = [str(value) for value in speed_ticks]
    wind_limits = [15, 40]
    pressure_limits = [966,1013]
    friction_bounds = [0.01,0.04]

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

    # Loop over region specifications ploting both surface and speeds
    for region in regions:
        name = region['name']
        xlimits = region['limits'][0]
        ylimits = region['limits'][1]
        # ======================================================================
        #  Surface Elevations
        # ======================================================================
        plotfigure = plotdata.new_plotfigure(name='Surface - %s' % name)
        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 = surge_afteraxes

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

        # ======================================================================
        #  Water Speed
        # ======================================================================
        plotfigure = plotdata.new_plotfigure(name='Currents - %s' % name)
        plotfigure.show = True

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

        surge.add_speed(plotaxes, bounds=speed_limits)
        plotaxes.plotitem_dict['speed'].amr_patchedges_show = [0] * 10
        surge.add_land(plotaxes)
        plotaxes.plotitem_dict['land'].amr_patchedges_show = [0] * 10

        # ======================================================================
        #  Wind Field
        # ======================================================================
        plotfigure = plotdata.new_plotfigure(name='Wind Speed - %s' % name)
        plotfigure.show = surge_data.wind_forcing

        plotaxes = plotfigure.new_plotaxes()
        plotaxes.title = "Wind Field"
        plotaxes.scaled = True
        plotaxes.xlimits = xlimits
        plotaxes.ylimits = ylimits
        plotaxes.afteraxes = surge_afteraxes

        surge.add_wind(plotaxes, bounds=wind_limits)
        plotaxes.plotitem_dict['wind'].amr_patchedges_show = [0] * 10
        surge.add_land(plotaxes)
        plotaxes.plotitem_dict['land'].amr_patchedges_show = [0] * 10


        # ========================================================================
        # Hurricane forcing
        # ========================================================================
        # Friction field
        plotfigure = plotdata.new_plotfigure(name='Friction - %s' % name)
        plotfigure.show = friction_data.variable_friction

        plotaxes = plotfigure.new_plotaxes()
        plotaxes.title = "Manning's N Coefficients"
        plotaxes.scaled = True
        plotaxes.xlimits = xlimits
        plotaxes.ylimits = ylimits
        plotaxes.afteraxes = surge_afteraxes

        surge.add_friction(plotaxes, bounds=friction_bounds)

        # Pressure field
        plotfigure = plotdata.new_plotfigure(name='Pressure - %s' % name)
        plotfigure.show = surge_data.pressure_forcing

        plotaxes = plotfigure.new_plotaxes()
        plotaxes.title = "Pressure Field"
        plotaxes.scaled = True
        plotaxes.xlimits = xlimits
        plotaxes.ylimits = ylimits
        plotaxes.afteraxes = surge_afteraxes
    
        surge.add_pressure(plotaxes, bounds=pressure_limits)
        plotaxes.plotitem_dict['pressure'].amr_patchedges_show = [0] * 10
        surge.add_land(plotaxes)
        plotaxes.plotitem_dict['land'].amr_patchedges_show = [0] * 10


    # ========================================================================
    #  Figures for gauges
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Surface & Topo', figno=300, \
                    type='each_gauge')
    plotfigure.show = True
    plotfigure.clf_each_gauge = True

    stations = [('8761724', 'Grand Isle, LA'),
                ('8760922', 'Pilots Station East, SW Pass, LA'),
                ('8735180', 'Dauphin Island, AL')]

    landfall_time = np.datetime64('2005-08-29T11:10')
    begin_date = datetime.datetime(2005, 8, 26)
    end_date = datetime.datetime(2005, 8, 31)

    def get_actual_water_levels(station_id):
        # Fetch water levels and tide predictions for given station
        date_time, water_level, tide = fetch_noaa_tide_data(station_id,
                begin_date, end_date)

        # Calculate times relative to landfall
        secs_rel_landfall = (date_time - landfall_time) / np.timedelta64(1, 's')

        # Subtract tide predictions from measured water levels
        water_level -= tide

        return secs_rel_landfall, water_level

    def gauge_afteraxes(cd):
        station_id, station_name = stations[cd.gaugeno - 1]
        secs_rel_landfall, actual_level = get_actual_water_levels(station_id)

        axes = plt.gca()
        axes.plot(secs_rel_landfall, actual_level, 'g')

        # Fix up plot - in particular fix time labels
        axes.set_title(station_name)
        axes.set_xlabel('Days relative to landfall')
        axes.set_ylabel('Surface (m)')
        axes.set_xlim(np.array([-3, 1]) * 86400)
        axes.set_ylim([-0.5, 2.5])
        axes.set_xticks(np.linspace(-3, 1, 5) * 86400)
        axes.set_xticklabels([r"$-3$", r"$-2$", r"$-1$", r"$0$", r"$1$"])
        axes.grid(True)

        # Plot wind speed using second scale
        wind_speed = np.linalg.norm(cd.gaugesoln.q[8:10, :], axis=0)
        axes2 = axes.twinx()
        axes2.plot(cd.gaugesoln.t, wind_speed, 'r.', markersize=0.3)
        axes2.set_ylabel('Wind Speed (m/s)')
        axes2.set_ylim([-2.5, 52.5])

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.afteraxes = gauge_afteraxes

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

    #
    #  Gauge Location Plot
    #
    def gauge_location_afteraxes(cd):
        plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.97)
        surge_afteraxes(cd)
        gaugetools.plot_gauge_locations(cd.plotdata, gaugenos='all',
                                        format_string='ko', add_labels=True)

    plotfigure = plotdata.new_plotfigure(name="Gauge Locations")
    plotfigure.show = True

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Gauge Locations'
    plotaxes.scaled = True
    plotaxes.xlimits = [-91.5, -87.5]
    plotaxes.ylimits = [28.0, 31.0]
    plotaxes.afteraxes = gauge_location_afteraxes

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


    #-----------------------------------------
    
    # 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_gaugenos = 'all'          # list of gauges 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
示例#20
0
def setplot(plotdata):
    r"""Setplot function for surge plotting"""

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

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

    # Load storm track32
    track = surge.track_data(os.path.join(plotdata.outdir, 'fort.track'))

    # Set afteraxes function
    def surge_afteraxes(cd):
        return surge.surge_afteraxes(cd, track, plot_direction=False)

    # Limits for plots
    dx = 0.5
    dy = 0.5
    regions = [{
        "name":
        "Full Domain",
        "limits": [[clawdata.lower[0], clawdata.upper[0]],
                   [clawdata.lower[1], clawdata.upper[1]]]
    }, {
        "name": "New Orleans",
        "limits": [[-92.5, -87.5], [27.5, 31.5]]
    }, {
        "name": "Grand Isle",
        "limits": [[-89.41 - dx, -89.41 + dx], [29.26 - dx, 29.26 + dx]]
    }, {
        "name": "Pilots Station East",
        "limits": [[-89.41 - dx, -89.41 + dx], [28.93 - dy, 28.93 + dy]]
    }, {
        "name": "Dauphin Island",
        "limits": [[-88.08 - dx, -88.08 + dx], [30.25 - dy, 30.25 + dy]]
    }]

    # Color limits
    surface_limits = [physics.sea_level - 5.0, physics.sea_level + 5.0]
    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, 3.0]
    speed_ticks = [0, 1, 2, 3]
    speed_labels = [str(value) for value in speed_ticks]
    wind_limits = [15, 40]
    pressure_limits = [966, 1013]
    friction_bounds = [0.01, 0.04]

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

    # Loop over region specifications ploting both surface and speeds
    for region in regions:
        name = region['name']
        xlimits = region['limits'][0]
        ylimits = region['limits'][1]
        # ======================================================================
        #  Surface Elevations
        # ======================================================================
        plotfigure = plotdata.new_plotfigure(name='Surface - %s' % name)
        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 = surge_afteraxes

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

        # ======================================================================
        #  Water Speed
        # ======================================================================
        plotfigure = plotdata.new_plotfigure(name='Currents - %s' % name)
        plotfigure.show = True

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

        surge.add_speed(plotaxes, bounds=speed_limits)
        plotaxes.plotitem_dict['speed'].amr_patchedges_show = [0] * 10
        surge.add_land(plotaxes)
        plotaxes.plotitem_dict['land'].amr_patchedges_show = [0] * 10

        # ======================================================================
        #  Wind Field
        # ======================================================================
        plotfigure = plotdata.new_plotfigure(name='Wind Speed - %s' % name)
        plotfigure.show = surge_data.wind_forcing

        plotaxes = plotfigure.new_plotaxes()
        plotaxes.title = "Wind Field"
        plotaxes.scaled = True
        plotaxes.xlimits = xlimits
        plotaxes.ylimits = ylimits
        plotaxes.afteraxes = surge_afteraxes

        surge.add_wind(plotaxes, bounds=wind_limits)
        plotaxes.plotitem_dict['wind'].amr_patchedges_show = [0] * 10
        surge.add_land(plotaxes)
        plotaxes.plotitem_dict['land'].amr_patchedges_show = [0] * 10

        # ========================================================================
        # Hurricane forcing
        # ========================================================================
        # Friction field
        plotfigure = plotdata.new_plotfigure(name='Friction - %s' % name)
        plotfigure.show = friction_data.variable_friction

        plotaxes = plotfigure.new_plotaxes()
        plotaxes.title = "Manning's N Coefficients"
        plotaxes.scaled = True
        plotaxes.xlimits = xlimits
        plotaxes.ylimits = ylimits
        plotaxes.afteraxes = surge_afteraxes

        surge.add_friction(plotaxes, bounds=friction_bounds)

        # Pressure field
        plotfigure = plotdata.new_plotfigure(name='Pressure - %s' % name)
        plotfigure.show = surge_data.pressure_forcing

        plotaxes = plotfigure.new_plotaxes()
        plotaxes.title = "Pressure Field"
        plotaxes.scaled = True
        plotaxes.xlimits = xlimits
        plotaxes.ylimits = ylimits
        plotaxes.afteraxes = surge_afteraxes

        surge.add_pressure(plotaxes, bounds=pressure_limits)
        plotaxes.plotitem_dict['pressure'].amr_patchedges_show = [0] * 10
        surge.add_land(plotaxes)
        plotaxes.plotitem_dict['land'].amr_patchedges_show = [0] * 10

    # ========================================================================
    #  Figures for gauges
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Surface & Topo', figno=300, \
                    type='each_gauge')
    plotfigure.show = True
    plotfigure.clf_each_gauge = True

    stations = [('8761724', 'Grand Isle, LA'),
                ('8760922', 'Pilots Station East, SW Pass, LA'),
                ('8735180', 'Dauphin Island, AL')]

    landfall_time = np.datetime64('2005-08-29T11:10')
    begin_date = datetime.datetime(2005, 8, 26)
    end_date = datetime.datetime(2005, 8, 31)

    def get_actual_water_levels(station_id):
        # Fetch water levels and tide predictions for given station
        date_time, water_level, tide = fetch_noaa_tide_data(
            station_id, begin_date, end_date)

        # Calculate times relative to landfall
        secs_rel_landfall = (date_time - landfall_time) / np.timedelta64(
            1, 's')

        # Subtract tide predictions from measured water levels
        water_level -= tide

        return secs_rel_landfall, water_level

    def gauge_afteraxes(cd):
        station_id, station_name = stations[cd.gaugeno - 1]
        secs_rel_landfall, actual_level = get_actual_water_levels(station_id)

        axes = plt.gca()
        axes.plot(secs_rel_landfall, actual_level, 'g')

        # Fix up plot - in particular fix time labels
        axes.set_title(station_name)
        axes.set_xlabel('Days relative to landfall')
        axes.set_ylabel('Surface (m)')
        axes.set_xlim(np.array([-3, 1]) * 86400)
        axes.set_ylim([-0.5, 2.5])
        axes.set_xticks(np.linspace(-3, 1, 5) * 86400)
        axes.set_xticklabels([r"$-3$", r"$-2$", r"$-1$", r"$0$", r"$1$"])
        axes.grid(True)

        # Plot wind speed using second scale
        wind_speed = np.linalg.norm(cd.gaugesoln.q[8:10, :], axis=0)
        axes2 = axes.twinx()
        axes2.plot(cd.gaugesoln.t, wind_speed, 'r.', markersize=0.3)
        axes2.set_ylabel('Wind Speed (m/s)')
        axes2.set_ylim([-2.5, 52.5])

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.afteraxes = gauge_afteraxes

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

    #
    #  Gauge Location Plot
    #
    def gauge_location_afteraxes(cd):
        plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.97)
        surge_afteraxes(cd)
        gaugetools.plot_gauge_locations(cd.plotdata,
                                        gaugenos='all',
                                        format_string='ko',
                                        add_labels=True)

    plotfigure = plotdata.new_plotfigure(name="Gauge Locations")
    plotfigure.show = True

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Gauge Locations'
    plotaxes.scaled = True
    plotaxes.xlimits = [-91.5, -87.5]
    plotaxes.ylimits = [28.0, 31.0]
    plotaxes.afteraxes = gauge_location_afteraxes

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

    #-----------------------------------------

    # 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_gaugenos = 'all'  # list of gauges 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
示例#21
0
def setplot(plotdata):
    r"""Setplot function for surge plotting"""
    

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

    fig_num_counter = surge.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 = surge.track_data(os.path.join(plotdata.outdir,'fort.track'))

    # Calculate landfall time, off by a day, maybe leap year issue?
    if storm_num == 1:
        # Storm 1
        landfall_dt = datetime.datetime(1997, 11, 15, 3) - datetime.datetime(1997, 1, 1, 0)
    elif storm_num == 2:
        # Storm 2
        landfall_dt = datetime.datetime(2008, 12, 17, 0) - datetime.datetime(2008, 1, 1, 0)

    landfall = (landfall_dt.days) * 24.0 * 60**2 + landfall_dt.seconds

    # Set afteraxes function
    surge_afteraxes = lambda cd: surge.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 = [-5.0, 5.0]
    # 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 = [0,50]
    # 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.gauge_locations(current_data,gaugenos=[6])
    
    def 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
    # ==========================================================================
    # ==========================================================================
    regions = {"Full Domain (Grids)": [[clawdata.lower[0], clawdata.upper[0]],
                               [clawdata.lower[1], clawdata.upper[1]], 
                               [1, 1, 1, 1, 1, 1, 1]],
               "Mumbai Regio (Grids)": [[70, 75], [17, 22], [1, 1, 1, 1, 1, 1, 1]],
               "Mumbai (Grids)": [[72.6, 73.15], [18.80, 19.25], [1, 1, 1, 1, 1, 1, 1]],
               "Full Domain (No Grids)": [[clawdata.lower[0], clawdata.upper[0]],
                               [clawdata.lower[1], clawdata.upper[1]], 
                               [0, 0, 0, 0, 0, 0, 0]],
               "Mumbai Region (No Grids)": [[70, 75], [17, 22], [0, 0, 0, 0, 0, 0, 0]],
               "Mumbai (No Grids)": [[72.6, 73.15], [18.80, 19.25], [0, 0, 0, 0, 0, 0, 0]]}
    full_xlimits = regions['Full Domain (Grids)'][0]
    full_ylimits = regions['Full Domain (Grids)'][1]

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

        #
        #  Surface
        #
        plotfigure = plotdata.new_plotfigure(name='Surface - %s' % name, 
                                             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 = region_data[0]
        plotaxes.ylimits = region_data[1]
        plotaxes.afteraxes = afteraxes

        surge.add_surface_elevation(plotaxes, plot_type='pcolor', 
                                               bounds=surface_limits)
        # surge.add_surface_elevation(plotaxes, plot_type='contourf', 
        #                                        contours=surface_contours)
        surge.add_land(plotaxes,topo_min=-10.0,topo_max=5.0)
        surge.add_bathy_contours(plotaxes)    

        if article:
            plotaxes.plotitem_dict['surface'].add_colorbar = False
        else:
            add_custom_colorbar_ticks_to_axes(plotaxes, 'surface', surface_ticks, surface_labels)
        plotaxes.plotitem_dict['land'].amr_patchedges_show = region_data[2]
        plotaxes.plotitem_dict['surface'].amr_patchedges_show = region_data[2]

        #
        #  Water Speed
        #
        plotfigure = plotdata.new_plotfigure(name='Currents - %s' % name,  
                                             figno=fig_num_counter.get_counter())
        plotfigure.show = True

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

        # Speed
        surge.add_speed(plotaxes, plot_type='pcolor', bounds=speed_limits)
        # surge.add_speed(plotaxes, plot_type='contourf', contours=speed_contours)
        if article:
            plotaxes.plotitem_dict['speed'].add_colorbar = False
        else:
            add_custom_colorbar_ticks_to_axes(plotaxes, 'speed', speed_ticks, speed_labels)

        # Land
        surge.add_land(plotaxes,topo_min=-10.0,topo_max=5.0)

        plotaxes.plotitem_dict['speed'].amr_patchedges_show = region_data[2]
        plotaxes.plotitem_dict['land'].amr_patchedges_show = region_data[2]
        
    #
    # Friction field
    #
    plotfigure = plotdata.new_plotfigure(name='Friction',
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = friction_data.variable_friction and False

    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)

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = full_xlimits
    plotaxes.ylimits = full_ylimits
    # plotaxes.title = "Manning's N Coefficient"
    plotaxes.afteraxes = friction_after_axes
    plotaxes.scaled = True

    surge.add_friction(plotaxes, bounds=friction_bounds)
    plotaxes.plotitem_dict['friction'].amr_patchedges_show = [0,0,0,0,0,0,0]
    plotaxes.plotitem_dict['friction'].colorbar_label = "$n$"

    # ==========================
    #  Hurricane Forcing fields
    # ==========================
    grids = [[0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1]]
    label = ["(No Grids)", "(Grids)"]
    for i in xrange(2):
        # Pressure field
        plotfigure = plotdata.new_plotfigure(name='Pressure %s' % label[i],  
                                             figno=fig_num_counter.get_counter())
        plotfigure.show = surge_data.pressure_forcing and True
        
        plotaxes = plotfigure.new_plotaxes()
        plotaxes.xlimits = full_xlimits
        plotaxes.ylimits = full_ylimits
        plotaxes.title = "Pressure Field"
        plotaxes.afteraxes = afteraxes
        plotaxes.scaled = True
        
        surge.add_pressure(plotaxes, bounds=pressure_limits)
        surge.add_land(plotaxes)
        plotaxes.plotitem_dict['pressure'].amr_patchedges_show = grids[i]
        plotaxes.plotitem_dict['land'].amr_patchedges_show = grids[i]
        
        # Wind field
        plotfigure = plotdata.new_plotfigure(name='Wind Speed %s' % label[i], 
                                             figno=fig_num_counter.get_counter())
        plotfigure.show = surge_data.wind_forcing and True
        
        plotaxes = plotfigure.new_plotaxes()
        plotaxes.xlimits = full_xlimits
        plotaxes.ylimits = full_ylimits
        plotaxes.title = "Wind Field"
        plotaxes.afteraxes = afteraxes
        plotaxes.scaled = True
        
        surge.add_wind(plotaxes, bounds=wind_limits, plot_type='pcolor')
        surge.add_land(plotaxes)
        plotaxes.plotitem_dict['wind'].amr_patchedges_show = grids[i]
        plotaxes.plotitem_dict['land'].amr_patchedges_show = grids[i]

    # =====================
    #  Gauge Location Plot
    # =====================
    gauge_xlimits = regions["Mumbai (Grids)"][0]
    gauge_ylimits = regions["Mumbai (Grids)"][1]
    # gauge_location_shrink = 0.75
    def gauge_after_axes(cd):
        # plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.97)
        surge_afteraxes(cd)
        # import pdb; pdb.set_trace()
        surge.gauge_locations(cd, gaugenos=[1, 2, 3])
        plt.title("Gauge Locations")

    plotfigure = plotdata.new_plotfigure(name='Gauge Locations',  
                                         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 = gauge_xlimits
    plotaxes.ylimits = gauge_ylimits
    plotaxes.afteraxes = gauge_after_axes
    surge.add_surface_elevation(plotaxes, plot_type='pcolor',
                                               bounds=surface_limits)
    # surge.plot.add_surface_elevation(plotaxes, plot_type="contourf")
    add_custom_colorbar_ticks_to_axes(plotaxes, 'surface', surface_ticks, surface_labels)
    surge.add_land(plotaxes)
    # plotaxes.plotitem_dict['surface'].amr_patchedges_show = [0,0,0,0,0,0,0]
    # plotaxes.plotitem_dict['surface'].add_colorbar = False
    # plotaxes.plotitem_dict['surface'].pcolor_cmap = plt.get_cmap('jet')
    # plotaxes.plotitem_dict['surface'].pcolor_cmap = plt.get_cmap('gist_yarg')
    # plotaxes.plotitem_dict['surface'].pcolor_cmin = 0.0
    # plotaxes.plotitem_dict['surface'].pcolor_cmax = 5.0
    plotaxes.plotitem_dict['surface'].amr_patchedges_show = [0,0,0,0,0,0,0]
    plotaxes.plotitem_dict['land'].amr_patchedges_show = [0,0,0,0,0,0,0]

    # ========================================================================
    #  Figures for gauges
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Surface & topo', figno=300, \
                    type='each_gauge')
    plotfigure.show = True
    plotfigure.clf_each_gauge = True
    # plotfigure.kwargs['figsize'] = (16,10)

    def gauge_after_axes(cd):
        if cd.gaugeno in [1, 2, 3]:
            axes = plt.gca()

            # Add GeoClaw gauge data
            geoclaw_gauge = cd.gaugesoln
            axes.plot(seconds2days(geoclaw_gauge.t - date2seconds(gauge_landfall[1])),
                  geoclaw_gauge.q[3,:], 'b--')

            # Fix up plot
            axes.set_title('Station %s' % cd.gaugeno)
            axes.set_xlabel('Days relative to landfall')
            axes.set_ylabel('Surface (m)')
            axes.set_xlim([-2,1])
            axes.set_ylim([-1,5])
            axes.set_xticks([-2,-1,0,1])
            axes.set_xticklabels([r"$-2$",r"$-1$",r"$0$",r"$1$"])
            axes.grid(True)
            axes.legend()

            plt.hold(False)

        # surge.gauge_afteraxes(cd)


    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = [-2,1]
    # plotaxes.xlabel = "Days from landfall"
    # plotaxes.ylabel = "Surface (m)"
    plotaxes.ylimits = [-1,5]
    plotaxes.title = 'Surface'
    plotaxes.afteraxes = gauge_after_axes

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


    #-----------------------------------------

    # Parameters used only when creating html and/or latex hardcopy
    # e.g., via pyclaw.plotters.frametools.printframes:

    if article:
        plotdata.printfigs = True                # print figures
        plotdata.print_format = 'png'            # file format
        plotdata.print_framenos = [54,60,66,72,78,84]            # list of frames to print
        plotdata.print_gaugenos = [1,2,3]          # list of gauges to print
        plotdata.print_fignos = [4,5,6,7,10,3,300]            # 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 = 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?

    else:
        plotdata.printfigs = True                # print figures
        plotdata.print_format = 'png'            # file format
        plotdata.print_framenos = 'all'            # list of frames to print
        plotdata.print_gaugenos = [1,2,3]          # list of gauges 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
示例#22
0
def setplot(plotdata):
    r"""Setplot function for surge plotting"""
    

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

    fig_num_counter = surge.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'))

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

    # Calculate landfall time, off by a day, maybe leap year issue?
    landfall_dt = datetime.datetime(2016,6,20-1,0) - datetime.datetime(2016,1,1,0)
    landfall = (landfall_dt.days - 1.0) * 24.0 * 60**2 + landfall_dt.seconds

    # Set afteraxes function
    surge_afteraxes = lambda cd: surge.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]
    # vorticity_limits = [-1.e-2,1.e-2]

    # def pcolor_afteraxes(current_data):
    #     surge_afteraxes(current_data)
    #     surge.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 Domain
    # ========================================================================
    entire_domain_xlimits = [clawdata.lower[0],clawdata.upper[0]]
    entire_domain_ylimits = [clawdata.lower[1],clawdata.upper[1]]
    entire_domain_shrink = 0.9
    def entire_domain_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 = entire_domain_xlimits
    plotaxes.ylimits = entire_domain_ylimits
    plotaxes.afteraxes = entire_domain_after_axes

    surge.add_surface_elevation(plotaxes, plot_type='contourf', 
                                               contours=surface_contours,
                                               shrink=entire_domain_shrink)
    surge.add_land(plotaxes,topo_min=-10.0,topo_max=5.0)
    # surge.add_bathy_contours(plotaxes)
    if article:
        plotaxes.plotitem_dict['surface'].add_colorbar = False
    else:
        add_custom_colorbar_ticks_to_axes(plotaxes, 'surface', surface_ticks, surface_labels)
    plotaxes.plotitem_dict['surface'].amr_patchedges_show = [1,1,1,1,1,1,1,1]

    #
    #  Water Speed
    #
    plotfigure = plotdata.new_plotfigure(name='Currents - Entire Domain',  
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = True

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Currents'
    plotaxes.scaled = True
    plotaxes.xlimits = entire_domain_xlimits
    plotaxes.ylimits = entire_domain_ylimits
    plotaxes.afteraxes = entire_domain_after_axes

    # Speed
    surge.add_speed(plotaxes, plot_type='contourf', 
                                   contours=speed_contours, 
                                   shrink=entire_domain_shrink)
    if article:
        plotaxes.plotitem_dict['speed'].add_colorbar = False
    else:
        add_custom_colorbar_ticks_to_axes(plotaxes, 'speed', speed_ticks, speed_labels)

    # Land
    surge.add_land(plotaxes)
    surge.add_bathy_contours(plotaxes)    

    # ==========================
    #  Hurricane Forcing fields
    # ==========================
    
    # Pressure field
    plotfigure = plotdata.new_plotfigure(name='Pressure',  
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = surge_data.pressure_forcing and True
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = entire_domain_xlimits
    plotaxes.ylimits = entire_domain_ylimits
    plotaxes.title = "Pressure Field"
    plotaxes.afteraxes = entire_domain_after_axes
    plotaxes.scaled = True
    
    surge.add_pressure(plotaxes, bounds=pressure_limits, shrink=entire_domain_shrink)
    surge.add_land(plotaxes)
    plotaxes.plotitem_dict['pressure'].amr_patchedges_show = [0,0,0,0,0,0,0]
    plotaxes.plotitem_dict['land'].amr_patchedges_show = [0,0,0,0,0,0,0]
    
    # Wind field
    plotfigure = plotdata.new_plotfigure(name='Wind Speed', 
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = surge_data.wind_forcing and True
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = entire_domain_xlimits
    plotaxes.ylimits = entire_domain_ylimits
    plotaxes.title = "Wind Field"
    plotaxes.afteraxes = entire_domain_after_axes
    plotaxes.scaled = True
    
    surge.add_wind(plotaxes, bounds=wind_limits, plot_type='pcolor',
                                  shrink=entire_domain_shrink)
    surge.add_land(plotaxes)
    # plotaxes.plotitem_dict['wind'].amr_patchedges_show = [0,0,0,0,0,0,0]
    plotaxes.plotitem_dict['land'].amr_patchedges_show = [0,0,0,0,0,0,0]

    #-----------------------------------------

    # Parameters used only when creating html and/or latex hardcopy
    # e.g., via pyclaw.plotters.frametools.printframes:

    if article:
        plotdata.printfigs = True                # print figures
        plotdata.print_format = 'png'            # file format
        plotdata.print_framenos = [54,60,66,72,78,84]            # list of frames to print
        plotdata.print_gaugenos = []          # list of gauges to print
        plotdata.print_fignos = [4,5,6,7,10,3,300]            # 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 = 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?

    else:
        plotdata.printfigs = True                # print figures
        plotdata.print_format = 'png'            # file format
        plotdata.print_framenos = 'all'            # list of frames to print
        plotdata.print_gaugenos = []          # list of gauges 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
示例#23
0
def setplot(plotdata):
    r"""Setplot function for surge plotting"""
    

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

    fig_num_counter = surge.figure_counter()

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

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

    # Calculate landfall time, off by a day, maybe leap year issue?
    landfall_dt = datetime.datetime(2012,10,29,8,0) - datetime.datetime(2012,1,1,0)
    landfall = (landfall_dt.days) * 24.0 * 60**2 + landfall_dt.seconds

    # Set afteraxes function
    surge_afteraxes = lambda cd: surge.surge_afteraxes(cd, 
                                        track, landfall, plot_direction=False)
    # Limits for plots
    region_data = {'full':([clawdata.lower[0],clawdata.upper[0]],
                           [clawdata.lower[1],clawdata.upper[1]],
                           0.8),
                   'Region':([-74.5,-71.0], [40.0,41.5], 0.5),
                   'NYC':([-74.2,-73.8], [40.55,40.85], 0.5)
                  }

    # Color limits
    surface_range = 1.5
    speed_range = 1.0
    # speed_range = 1.e-2

    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]
    friction_bounds = [0.01,0.04]
    vorticity_limits = [-1.e-2,1.e-2]

    def pcolor_afteraxes(current_data):
        surge_afteraxes(current_data)
        surge.gauge_locations(current_data)
    
    def contour_afteraxes(current_data):
        surge_afteraxes(current_data)

    
    # ==========================================================================
    # ==========================================================================
    #   Plot specifications
    # ==========================================================================
    # ==========================================================================
    for (region, values) in region_data.iteritems():
        # ========================================================================
        #  Surface Elevations
        # ========================================================================
        plotfigure = plotdata.new_plotfigure(name='Surface - %s' % region,  
                                         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 = values[0]
        plotaxes.ylimits = values[1]
        plotaxes.afteraxes = pcolor_afteraxes
    
        surge.add_surface_elevation(plotaxes,bounds=surface_limits,shrink=values[2])
        surge.add_land(plotaxes)


        # ========================================================================
        #  Water Speed
        # ========================================================================
        plotfigure = plotdata.new_plotfigure(name='Currents - %s' % region,  
                                         figno=fig_num_counter.get_counter())
        plotfigure.show = True

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

        # Speed
        surge.add_speed(plotaxes,bounds=speed_limits,shrink=values[2])

        # Land
        surge.add_land(plotaxes)


    # ========================================================================
    # Hurricane forcing - Entire Atlantic
    # ========================================================================
    # Friction field
    plotfigure = plotdata.new_plotfigure(name='Friction',
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = friction_data.variable_friction and True

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = region_data['full'][0]
    plotaxes.ylimits = region_data['full'][1]
    plotaxes.title = "Manning's N Coefficients"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True

    surge.add_friction(plotaxes,bounds=friction_bounds)

    # Pressure field
    plotfigure = plotdata.new_plotfigure(name='Pressure',  
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = surge_data.pressure_forcing and True
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = region_data['full'][0]
    plotaxes.ylimits = region_data['full'][1]
    plotaxes.title = "Pressure Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    
    surge.add_pressure(plotaxes,bounds=pressure_limits)
    # add_pressure(plotaxes)
    surge.add_land(plotaxes)
    
    # Wind field
    plotfigure = plotdata.new_plotfigure(name='Wind Speed', 
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = surge_data.wind_forcing and True
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = region_data['full'][0]
    plotaxes.ylimits = region_data['full'][1]
    plotaxes.title = "Wind Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    
    surge.add_wind(plotaxes,bounds=wind_limits,plot_type='imshow')
    # add_wind(plotaxes,bounds=wind_limits,plot_type='contour')
    # add_wind(plotaxes,bounds=wind_limits,plot_type='quiver')
    surge.add_land(plotaxes)

    # ==========================================================================
    #  Depth
    # ==========================================================================
    plotfigure = plotdata.new_plotfigure(name='Depth - Entire Domain', 
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = False

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Topography'
    plotaxes.scaled = True
    plotaxes.xlimits = region_data['full'][0]
    plotaxes.ylimits = region_data['full'][1]
    plotaxes.afteraxes = surge_afteraxes

    plotitem = plotaxes.new_plotitem(plot_type='2d_imshow')
    plotitem.plot_var = 0
    plotitem.imshow_cmin = 0
    plotitem.imshow_cmax = 200
    plotitem.imshow_cmap = plt.get_cmap("terrain")
    plotitem.add_colorbar = True
    plotitem.amr_celledges_show = [0,0,0]
    plotitem.amr_patchedges_show = [1,1,1,1,1,1,1,1,1]

    # ========================================================================
    #  Figures for gauges
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Surface, Speeds',   
                                         figno=fig_num_counter.get_counter(),
                                         type='each_gauge')
    plotfigure.show = True
    plotfigure.clf_each_gauge = True

    # Surface and Topography
    plotaxes = plotfigure.new_plotaxes()
    # plotaxes.axescmd = 'subplot(121)'
    try:
        plotaxes.xlimits = [amrdata.t0,amrdata.tfinal]
    except:
        pass
    plotaxes.ylimits = surface_limits
    plotaxes.title = 'Surface'
    plotaxes.afteraxes = surge.gauge_afteraxes
    plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
    plotitem.plot_var = 3
    plotitem.plotstyle = 'b-'

    # # Speeds
    # plotaxes = plotfigure.new_plotaxes()
    # plotaxes.axescmd = 'subplot(122)'
    # try:
    #     plotaxes.xlimits = [amrdata.t0,amrdata.tfinal]
    # except:
    #     pass
    # plotaxes.ylimits = surface_limits
    # plotaxes.title = 'Momenta'
    # plotaxes.afteraxes = surge.gauge_afteraxes

    # plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
    # plotitem.plot_var = 1
    # plotitem.plotstyle = 'r-'
    # plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
    # plotitem.plot_var = 2
    # plotitem.plotstyle = 'b-'




    #-----------------------------------------
    
    # 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_gaugenos = 'all'          # list of gauges 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
示例#24
0
def setplot(plotdata):
    r"""Setplot function for surge plotting"""
    

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

    #fig_num_counter = surge.figure_counter()

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

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

    # Calculate landfall time, off by a day, maybe leap year issue?
    landfall_dt = datetime.datetime(2011,8,27,7,30) - datetime.datetime(2011,1,1,0)
    landfall = (landfall_dt.days) * 24.0 * 60**2 + landfall_dt.seconds

    # Set afteraxes function
    surge_afteraxes = lambda cd: surge.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]]
    full_shrink = 0.8
    newyork_xlimits = [-74.2,-73.7]
    newyork_ylimits = [40.4,40.85]
    newyork_shrink = 1.0

    # Color limits
    surface_range = 1.5
    speed_range = 1.0
    # speed_range = 1.e-2

    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]
    friction_bounds = [0.01,0.04]
    vorticity_limits = [-1.e-2,1.e-2]

    def pcolor_afteraxes(current_data):
        surge_afteraxes(current_data)
        surge.gauge_locations(current_data)
    
    def contour_afteraxes(current_data):
        surge_afteraxes(current_data)

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

    # ========================================================================
    #  Surface Elevations - Entire Atlantic
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Surface - Atlantic',  
                                         figno=100)
    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
    
    surge.add_surface_elevation(plotaxes,bounds=surface_limits,shrink=full_shrink)
    surge.add_land(plotaxes)


    # ========================================================================
    #  Water Speed - Entire Atlantic
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Currents - Atlantic',  
                                         figno=200)
    plotfigure.show = True

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

    # Speed
    surge.add_speed(plotaxes,bounds=speed_limits,shrink=full_shrink)

    # Land
    surge.add_land(plotaxes)

    # ========================================================================
    #  Surface Elevations - New York Area
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Surface - New York',  
                                         figno=300)
    plotfigure.show = True

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Surface'
    plotaxes.scaled = True
    plotaxes.xlimits = newyork_xlimits
    plotaxes.ylimits = newyork_ylimits
    def after_with_gauges(cd):
        surge_afteraxes(cd)
        surge.gauge_locations(cd)
    plotaxes.afteraxes = after_with_gauges
    
    surge.add_surface_elevation(plotaxes,bounds=surface_limits,shrink=newyork_shrink)
    surge.add_land(plotaxes)

    # ========================================================================
    #  Currents Elevations - New York Area
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Currents - New York',  
                                         figno=400)
    plotfigure.show = True

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Currents'
    plotaxes.scaled = True
    plotaxes.xlimits = newyork_xlimits
    plotaxes.ylimits = newyork_ylimits
    def after_with_gauges(cd):
        surge_afteraxes(cd)
        surge.gauge_locations(cd)
    plotaxes.afteraxes = after_with_gauges
    
    surge.add_speed(plotaxes,bounds=speed_limits,shrink=newyork_shrink)
    surge.add_land(plotaxes)


    # ========================================================================
    # Hurricane forcing - Entire Atlantic
    # ========================================================================
    # Friction field
    plotfigure = plotdata.new_plotfigure(name='Friction',
                                         figno=500)
    plotfigure.show = friction_data.variable_friction and True

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = full_xlimits
    plotaxes.ylimits = full_ylimits
    plotaxes.title = "Manning's N Coefficients"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True

    surge.add_friction(plotaxes,bounds=friction_bounds)

    # Pressure field
    plotfigure = plotdata.new_plotfigure(name='Pressure',  
                                         figno=600)
    plotfigure.show = surge_data.pressure_forcing and True
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = full_xlimits
    plotaxes.ylimits = full_ylimits
    plotaxes.title = "Pressure Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    
    surge.add_pressure(plotaxes,bounds=pressure_limits)
    # add_pressure(plotaxes)
    surge.add_land(plotaxes)
    
    # Wind field
    plotfigure = plotdata.new_plotfigure(name='Wind Speed', 
                                         figno=700)
    plotfigure.show = surge_data.wind_forcing and True
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = full_xlimits
    plotaxes.ylimits = full_ylimits
    plotaxes.title = "Wind Field"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    
    surge.add_wind(plotaxes,bounds=wind_limits,plot_type='imshow')
    # add_wind(plotaxes,bounds=wind_limits,plot_type='contour')
    # add_wind(plotaxes,bounds=wind_limits,plot_type='quiver')
    surge.add_land(plotaxes)
    
    # Surge field
    plotfigure = plotdata.new_plotfigure(name='Surge Field', 
                                         figno=800)
    plotfigure.show = ((surge_data.wind_forcing or surge_data.pressure_forcing) 
                        and False)
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = full_xlimits
    plotaxes.ylimits = full_ylimits
    plotaxes.title = "Storm Surge Source Term S"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    
    plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
    plotitem.plot_var = surge.pressure_field + 1
    plotitem.pcolor_cmap = plt.get_cmap('PuBu')
    plotitem.pcolor_cmin = 0.0
    plotitem.pcolor_cmax = 1e-3
    plotitem.add_colorbar = True
    plotitem.colorbar_shrink = 0.5
    plotitem.colorbar_label = "Source Strength"
    plotitem.amr_celledges_show = [0,0,0]
    plotitem.amr_patchedges_show = [1,1,1,1,1,0,0]
    
    surge.add_land(plotaxes)

    plotfigure = plotdata.new_plotfigure(name='Friction/Coriolis Source', 
                                         figno=900)
    plotfigure.show = False
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = full_xlimits
    plotaxes.ylimits = full_ylimits
    plotaxes.title = "Friction/Coriolis Source"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    
    plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
    plotitem.plot_var = surge.pressure_field + 2
    plotitem.pcolor_cmap = plt.get_cmap('PuBu')
    plotitem.pcolor_cmin = 0.0
    plotitem.pcolor_cmax = 1e-3
    plotitem.add_colorbar = True
    plotitem.colorbar_shrink = 0.5
    plotitem.colorbar_label = "Source Strength"
    plotitem.amr_celledges_show = [0,0,0]
    plotitem.amr_patchedges_show = [1,1,1,1,1,0,0]
    
    surge.add_land(plotaxes)

    # ==========================================================================
    #  Depth
    # ==========================================================================
    plotfigure = plotdata.new_plotfigure(name='Depth - Entire Domain', 
                                         figno=1000)
    plotfigure.show = False

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

    plotitem = plotaxes.new_plotitem(plot_type='2d_imshow')
    plotitem.plot_var = 0
    plotitem.imshow_cmin = 0
    plotitem.imshow_cmax = 200
    plotitem.imshow_cmap = plt.get_cmap("terrain")
    plotitem.add_colorbar = True
    plotitem.amr_celledges_show = [0,0,0]
    plotitem.amr_patchedges_show = [1,1,1,1,1,1,1,1,1]

    # ========================================================================
    #  Figures for gauges
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Surface',   
                                         figno=250,type='each_gauge')
    plotfigure.show = True
    plotfigure.clf_each_gauge = True
 
    stations = [('8518750', 'The Battery, NY'),
                ('8516945', 'Kings Point, NY'),
                ('8519483', 'Bergen Point West Reach, NY')]
                #('8531680','Sandy Hook, NY'),
                #('n03020','Narrows,NY')]
  
    landfall_time = np.datetime64('2011-08-27T11:30')
    begin_date = datetime.datetime(2011, 8, 24 )
    end_date = datetime.datetime(2011, 8, 28)

# need to uncomment this function if you want to compare with real data from NOAA
#    def get_actual_water_levels(station_id):
#        # Fetch water levels and tide predictions for given station
#        date_time, water_level, tide = fetch_noaa_tide_data(station_id,
#                begin_date, end_date)

        # Calculate times relative to landfall
#        seconds_rel_landfall = (date_time - landfall_time) / np.timedelta64(1, 's')
        # Subtract tide predictions from measured water levels
#        water_level -= tide

 #       return seconds_rel_landfall, water_level

 
    def gauge_afteraxes(cd):
        station_id, station_name = stations[cd.gaugeno-1]
# uncomment the next line to plot against real NOAA data
#        seconds_rel_landfall, actual_level = get_actual_water_levels(station_id)

        axes = plt.gca()
        #surgeplot.plot_landfall_gauge(cd.gaugesoln, axes, landfall=landfall)
# uncomment the next line to plot against real NOAA data 
#       axes.plot(seconds_rel_landfall, actual_level, 'g')

        # Fix up plot - in particular fix time labels
        axes.set_title(station_name)
        axes.set_xlabel('Seconds relative to landfall')
        axes.set_ylabel('Surface (m)')
        axes.set_ylim([0, 4])
#        axes.set_xticks([ days2seconds(-2), days2seconds(-1), 0, days2seconds(1)])
        #axes.set_xticklabels([r"$-3$", r"$-2$", r"$-1$", r"$0$", r"$1$"])
        #axes.grid(True)
 

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    try:
        plotaxes.xlimits = [amrdata.t0,amrdata.tfinal]
    except:
        pass
    plotaxes.ylimits = surface_limits
    plotaxes.title = 'Surface'
    plotaxes.afteraxes = gauge_afteraxes

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

    # # Speeds
    # plotaxes = plotfigure.new_plotaxes()
    # plotaxes.axescmd = 'subplot(122)'
    # try:
    #     plotaxes.xlimits = [amrdata.t0,amrdata.tfinal]
    # except:
    #     pass
    # plotaxes.ylimits = surface_limits
    # plotaxes.title = 'Momenta'
    # plotaxes.afteraxes = surge.gauge_afteraxes

    # plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
    # plotitem.plot_var = 1
    # plotitem.plotstyle = 'r-'
    # plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
    # plotitem.plot_var = 2
    # plotitem.plotstyle = 'b-'




    #-----------------------------------------
    
    # 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_gaugenos = 'all'          # list of gauges 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
示例#25
0
def setplot(plotdata):
    r"""Setplot function for surge plotting"""
    

    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 = surgedata.SurgeData()
    surge_data.read(os.path.join(plotdata.outdir,'surge.data'))
    friction_data = surgedata.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

    surgeplot.add_surface_elevation(plotaxes, plot_type='contourf',
                                               contours=surface_contours,
                                               shrink=gulf_shrink)
    surgeplot.add_land(plotaxes,topo_min=-10.0,topo_max=5.0)
    # surge.plot.add_bathy_contours(plotaxes)
    if article:
        plotaxes.plotitem_dict['surface'].add_colorbar = False
    else:
        add_custom_colorbar_ticks_to_axes(plotaxes, 'surface', surface_ticks, surface_labels)
    plotaxes.plotitem_dict['surface'].amr_patchedges_show = [1,1,1,1,1,1,1,1]

    #
    #  Water Speed
    #
    plotfigure = plotdata.new_plotfigure(name='Currents - Entire Domain',  
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = True

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Currents'
    plotaxes.scaled = True
    plotaxes.xlimits = gulf_xlimits
    plotaxes.ylimits = gulf_ylimits
    plotaxes.afteraxes = gulf_after_axes

    # Speed
    surgeplot.add_speed(plotaxes, plot_type='contourf',
                                   contours=speed_contours,
                                   shrink=gulf_shrink)
    if article:
        plotaxes.plotitem_dict['speed'].add_colorbar = False
    else:
        add_custom_colorbar_ticks_to_axes(plotaxes, 'speed', speed_ticks, speed_labels)

    # Land
    surgeplot.add_land(plotaxes)
    surgeplot.add_bathy_contours(plotaxes)

    #
    # Friction field
    #
    plotfigure = plotdata.new_plotfigure(name='Friction',
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = friction_data.variable_friction and True

    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)

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = gulf_xlimits
    plotaxes.ylimits = gulf_ylimits
    # plotaxes.title = "Manning's N Coefficient"
    plotaxes.afteraxes = friction_after_axes
    plotaxes.scaled = True

    surgeplot.add_friction(plotaxes,bounds=friction_bounds,shrink=0.9)
    plotaxes.plotitem_dict['friction'].amr_patchedges_show = [0,0,0,0,0,0,0]
    plotaxes.plotitem_dict['friction'].colorbar_label = "$n$"


    # ========================================================================
    #  LaTex Shelf
    # ========================================================================
    latex_xlimits = [-97.5,-88.5]
    latex_ylimits = [27.5,30.5]
    latex_shrink = 1.0
    def latex_after_axes(cd):
        if article:
            plt.subplots_adjust(left=0.07, bottom=0.14, right=1.0, top=0.86)
        else:
            plt.subplots_adjust(right=1.0)
        surge_afteraxes(cd)

    #
    # Surface
    #
    plotfigure = plotdata.new_plotfigure(name='Surface - LaTex Shelf', 
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = True
    if article:
        plotfigure.kwargs = {'figsize':(8,2.7), 'facecolor':'none'}
    else:
        plotfigure.kwargs = {'figsize':(9,2.7), 'facecolor':'none'}

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Surface'
    plotaxes.scaled = True
    plotaxes.xlimits = latex_xlimits
    plotaxes.ylimits = latex_ylimits
    plotaxes.afteraxes = latex_after_axes
    surgeplot.add_surface_elevation(plotaxes, plot_type='contourf',
                                               contours=surface_contours,
                                               shrink=latex_shrink)

    if article:
        plotaxes.plotitem_dict['surface'].add_colorbar = False
        # plotaxes.afteraxes = lambda cd: article_latex_after_axes(cd, landfall)
    else:
        add_custom_colorbar_ticks_to_axes(plotaxes, 'surface', [-5,-2.5,0,2.5,5.0], 
                                    ["-5.0","-2.5"," 0"," 2.5"," 5.0"])
    # plotaxes.plotitem_dict['surface'].contour_cmap = plt.get_cmap('OrRd')
    # surge.plot.add_surface_elevation(plotaxes,plot_type='contour')
    surgeplot.add_land(plotaxes)
    # plotaxes.plotitem_dict['surface'].amr_patchedges_show = [1,1,1,0,0,0,0]
    plotaxes.plotitem_dict['surface'].amr_patchedges_show = [0,0,0,0,0,0,0]
    # plotaxes.plotitem_dict['land'].amr_patchedges_show = [1,1,1,0,0,0,0]
    plotaxes.plotitem_dict['land'].amr_patchedges_show = [0,0,0,0,0,0,0]

    # Plot using jet and 0.0 to 5.0 to match figgen generated ADCIRC results
    # plotaxes.plotitem_dict['surface'].pcolor_cmin = 0.0
    # plotaxes.plotitem_dict['surface'].pcolor_cmax = 5.0
    # plotaxes.plotitem_dict['surface'].pcolor_cmap = plt.get_cmap('jet')

    #
    # Water Speed
    #
    plotfigure = plotdata.new_plotfigure(name='Currents - LaTex Shelf',  
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = True
    if article:
        plotfigure.kwargs = {'figsize':(8,2.7), 'facecolor':'none'}
    else:
        plotfigure.kwargs = {'figsize':(9,2.7), 'facecolor':'none'}

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Currents'
    plotaxes.scaled = True
    plotaxes.xlimits = latex_xlimits
    plotaxes.ylimits = latex_ylimits
    plotaxes.afteraxes = latex_after_axes
    surgeplot.add_speed(plotaxes, plot_type='contourf',
                                   contours=speed_contours,
                                   shrink=latex_shrink)

    if article:
        plotaxes.plotitem_dict['speed'].add_colorbar = False
    else:
        add_custom_colorbar_ticks_to_axes(plotaxes, 'speed', speed_ticks, speed_labels)
    # surge.plot.add_surface_elevation(plotaxes,plot_type='contour')
    surgeplot.add_land(plotaxes)
    # plotaxes.plotitem_dict['speed'].amr_patchedges_show = [1,1,0,0,0,0,0]
    # plotaxes.plotitem_dict['land'].amr_patchedges_show = [1,1,1,0,0,0,0]
    plotaxes.plotitem_dict['speed'].amr_patchedges_show = [0,0,0,0,0,0,0]
    plotaxes.plotitem_dict['land'].amr_patchedges_show = [0,0,0,0,0,0,0]



    # ========================================================================
    #  Houston/Galveston
    # ========================================================================
    houston_xlimits = [-(95.0 + 26.0 / 60.0), -(94.0 + 25.0 / 60.0)]
    houston_ylimits = [29.1, 29.0 + 55.0 / 60.0]
    houston_shrink = 0.9
    def houston_after_axes(cd):
        if article:
            plt.subplots_adjust(left=0.05, bottom=0.07, right=0.99, top=0.92)
        else:
            plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.97)
        surge_afteraxes(cd)
        # surge.plot.gauge_locations(cd)
    
    #
    # Surface Elevations
    #
    plotfigure = plotdata.new_plotfigure(name='Surface - Houston/Galveston',  
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = True
    # if article:
    #     plotfigure.kwargs['figsize'] = 

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Surface'
    plotaxes.scaled = True
    plotaxes.xlimits = houston_xlimits
    plotaxes.ylimits = houston_ylimits
    plotaxes.afteraxes = houston_after_axes
    surgeplot.add_surface_elevation(plotaxes, plot_type='contourf',
                                               contours=surface_contours,
                                               shrink=houston_shrink)
    
    if article:
        plotaxes.plotitem_dict['surface'].add_colorbar = False
    else:
        add_custom_colorbar_ticks_to_axes(plotaxes, 'surface', surface_ticks, surface_labels)
    surgeplot.add_land(plotaxes)
    plotaxes.plotitem_dict['surface'].amr_patchedges_show = [0,0,0,0,0,0,0]
    plotaxes.plotitem_dict['land'].amr_patchedges_show = [0,0,0,0,0,0,0]
    # surge.plot.add_bathy_contours(plotaxes)

    # Plot using jet and 0.0 to 5.0 to match figgen generated ADCIRC results
    # plotaxes.plotitem_dict['surface'].pcolor_cmin = 0.0
    # plotaxes.plotitem_dict['surface'].pcolor_cmax = 5.0
    # plotaxes.plotitem_dict['surface'].pcolor_cmap = plt.get_cmap('jet')

    #
    # Water Speed
    #
    plotfigure = plotdata.new_plotfigure(name='Currents - Houston/Galveston',  
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = True

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Currents'
    plotaxes.scaled = True
    plotaxes.xlimits = houston_xlimits
    plotaxes.ylimits = houston_ylimits
    plotaxes.afteraxes = houston_after_axes
    surgeplot.add_speed(plotaxes, plot_type='contourf',
                                   contours=speed_contours,
                                   shrink=houston_shrink)
    
    if article:
        plotaxes.plotitem_dict['speed'].add_colorbar = False
    else:
        add_custom_colorbar_ticks_to_axes(plotaxes, 'speed', speed_ticks, speed_labels)
    surgeplot.add_land(plotaxes)
    # surge.plot.add_bathy_contours(plotaxes)
    # plotaxes.plotitem_dict['speed'].amr_patchedges_show = [1,1,1,1,1,1,1,1]
    # plotaxes.plotitem_dict['land'].amr_patchedges_show = [1,1,1,1,1,1,1,1]
    plotaxes.plotitem_dict['speed'].amr_patchedges_show = [0,0,0,0,0,0,0]
    plotaxes.plotitem_dict['land'].amr_patchedges_show = [0,0,0,0,0,0,0]

    # ==========================
    #  Hurricane Forcing fields
    # ==========================
    
    # Pressure field
    plotfigure = plotdata.new_plotfigure(name='Pressure',  
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = surge_data.pressure_forcing and True
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = gulf_xlimits
    plotaxes.ylimits = gulf_ylimits
    plotaxes.title = "Pressure Field"
    plotaxes.afteraxes = gulf_after_axes
    plotaxes.scaled = True
    surgeplot.add_pressure(plotaxes, bounds=pressure_limits, shrink=gulf_shrink)
    surgeplot.add_land(plotaxes)

    # Wind field
    plotfigure = plotdata.new_plotfigure(name='Wind Speed', 
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = surge_data.wind_forcing and True
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = gulf_xlimits
    plotaxes.ylimits = gulf_ylimits
    plotaxes.title = "Wind Field"
    plotaxes.afteraxes = gulf_after_axes
    plotaxes.scaled = True
    surgeplot.add_wind(plotaxes, bounds=wind_limits, plot_type='pcolor',
                                  shrink=gulf_shrink)
    surgeplot.add_land(plotaxes)

    # ========================================================================
    #  Figures for gauges
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Surface & topo', figno=300, \
                    type='each_gauge')
    plotfigure.show = True
    plotfigure.clf_each_gauge = True
    # plotfigure.kwargs['figsize'] = (16,10)

    def gauge_after_axes(cd):

        if cd.gaugeno in [1,2,3,4]:
            axes = plt.gca()
            # # Add Kennedy gauge data
            # kennedy_gauge = kennedy_gauges[gauge_name_trans[cd.gaugeno]]
            # axes.plot(kennedy_gauge['t'] - seconds2days(date2seconds(gauge_landfall[0])), 
            #          kennedy_gauge['mean_water'] + kennedy_gauge['depth'], 'k-', 
            #          label='Gauge Data')

            # Add GeoClaw gauge data
            geoclaw_gauge = cd.gaugesoln
            axes.plot(seconds2days(geoclaw_gauge.t - date2seconds(gauge_landfall[1])),
                  geoclaw_gauge.q[3,:] + gauge_surface_offset[0], 'b--', 
                  label="GeoClaw")

            # Add ADCIRC gauge data
            # ADCIRC_gauge = ADCIRC_gauges[kennedy_gauge['gauge_no']]
            # axes.plot(seconds2days(ADCIRC_gauge[:,0] - gauge_landfall[2]), 
            #          ADCIRC_gauge[:,1] + gauge_surface_offset[1], 'r-.', label="ADCIRC")

            # Fix up plot
            axes.set_title('Station %s' % cd.gaugeno)
            axes.set_xlabel('Days relative to landfall')
            axes.set_ylabel('Surface (m)')
            axes.set_xlim([-2,1])
            axes.set_ylim([-1,5])
            axes.set_xticks([-2,-1,0,1])
            axes.set_xticklabels([r"$-2$",r"$-1$",r"$0$",r"$1$"])
            axes.grid(True)
            axes.legend()

            plt.hold(False)

        # surge.plot.gauge_afteraxes(cd)


    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = [-2,1]
    # plotaxes.xlabel = "Days from landfall"
    # plotaxes.ylabel = "Surface (m)"
    plotaxes.ylimits = [-1,5]
    plotaxes.title = 'Surface'
    plotaxes.afteraxes = gauge_after_axes

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

    # =====================
    #  Gauge Location Plot
    # =====================
    gauge_xlimits = [-95.5, -94]
    gauge_ylimits = [29.0, 30.0]
    gauge_location_shrink = 0.75
    def gauge_after_axes(cd):
        plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.97)
        surge_afteraxes(cd)
        surgeplot.gauge_locations(cd, gaugenos=[1, 2, 3, 4])
        plt.title("Gauge Locations")

    plotfigure = plotdata.new_plotfigure(name='Gauge Locations',  
                                         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 = gauge_xlimits
    plotaxes.ylimits = gauge_ylimits
    plotaxes.afteraxes = gauge_after_axes
    surgeplot.add_surface_elevation(plotaxes, plot_type='contourf',
                                               contours=surface_contours,
                                               shrink=gauge_location_shrink)
    # surge.plot.add_surface_elevation(plotaxes, plot_type="contourf")
    add_custom_colorbar_ticks_to_axes(plotaxes, 'surface', surface_ticks, surface_labels)
    surgeplot.add_land(plotaxes)
    # plotaxes.plotitem_dict['surface'].amr_patchedges_show = [0,0,0,0,0,0,0]
    # plotaxes.plotitem_dict['surface'].add_colorbar = False
    # plotaxes.plotitem_dict['surface'].pcolor_cmap = plt.get_cmap('jet')
    # plotaxes.plotitem_dict['surface'].pcolor_cmap = plt.get_cmap('gist_yarg')
    # plotaxes.plotitem_dict['surface'].pcolor_cmin = 0.0
    # plotaxes.plotitem_dict['surface'].pcolor_cmax = 5.0
    plotaxes.plotitem_dict['surface'].amr_patchedges_show = [0,0,0,0,0,0,0]
    plotaxes.plotitem_dict['land'].amr_patchedges_show = [0,0,0,0,0,0,0]
    
    # ==============================================================
    #  Debugging Plots, only really work if using interactive plots
    # ==============================================================
    #
    # Water Velocity Components
    #
    plotfigure = plotdata.new_plotfigure(name='Velocity Components - Entire Domain',  
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = False

    # X-Component
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.axescmd = "subplot(121)"
    plotaxes.title = 'Velocity, X-Component'
    plotaxes.scaled = True
    plotaxes.xlimits = gulf_xlimits
    plotaxes.ylimits = gulf_ylimits
    plotaxes.afteraxes = gulf_after_axes

    plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
    plotitem.plot_var = surgeplot.water_u
    plotitem.pcolor_cmap = colormaps.make_colormap({1.0:'r',0.5:'w',0.0:'b'})
    plotitem.pcolor_cmin = -speed_limits[1]
    plotitem.pcolor_cmax = speed_limits[1]
    plotitem.colorbar_shrink = gulf_shrink
    plotitem.add_colorbar = True
    plotitem.amr_celledges_show = [0,0,0]
    plotitem.amr_patchedges_show = [1,1,1]

    surgeplot.add_land(plotaxes)

    # Y-Component
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.axescmd = "subplot(122)"
    plotaxes.title = 'Velocity, Y-Component'
    plotaxes.scaled = True
    plotaxes.xlimits = gulf_xlimits
    plotaxes.ylimits = gulf_ylimits
    plotaxes.afteraxes = gulf_after_axes

    plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
    plotitem.plot_var = surgeplot.water_v
    plotitem.pcolor_cmap = colormaps.make_colormap({1.0:'r',0.5:'w',0.0:'b'})
    plotitem.pcolor_cmin = -speed_limits[1]
    plotitem.pcolor_cmax = speed_limits[1]
    plotitem.colorbar_shrink = gulf_shrink
    plotitem.add_colorbar = True
    plotitem.amr_celledges_show = [0,0,0]
    plotitem.amr_patchedges_show = [1,1,1]
    surgeplot.add_land(plotaxes)

    # 
    # Depth
    # 
    plotfigure = plotdata.new_plotfigure(name='Depth - Entire Domain', 
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = False

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'depth'
    plotaxes.scaled = True
    plotaxes.xlimits = gulf_xlimits
    plotaxes.ylimits = gulf_ylimits
    plotaxes.afteraxes = gulf_after_axes

    plotitem = plotaxes.new_plotitem(plot_type='2d_imshow')
    plotitem.plot_var = 0
    plotitem.imshow_cmap = colormaps.make_colormap({1.0:'r',0.5:'w',0.0:'b'})
    plotitem.imshow_cmin = 0
    plotitem.imshow_cmax = 100
    plotitem.colorbar_shrink = gulf_shrink
    plotitem.add_colorbar = True
    plotitem.amr_celledges_show = [0,0,0]
    plotitem.amr_patchedges_show = [1,1,1,1,1,1,1,1,1]
    
    # Surge field
    plotfigure = plotdata.new_plotfigure(name='Surge Field', 
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = ((surge_data.wind_forcing or surge_data.pressure_forcing) 
                        and False)
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = gulf_xlimits
    plotaxes.ylimits = gulf_ylimits
    plotaxes.title = "Storm Surge Source Term S"
    plotaxes.afteraxes = gulf_after_axes
    plotaxes.scaled = True
    
    plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
    plotitem.plot_var = surgeplot.pressure_field + 1
    plotitem.pcolor_cmap = plt.get_cmap('PuBu')
    plotitem.pcolor_cmin = 0.0
    plotitem.pcolor_cmax = 1e-3
    plotitem.add_colorbar = True
    plotitem.colorbar_shrink = gulf_shrink
    plotitem.colorbar_label = "Source Strength"
    plotitem.amr_celledges_show = [0,0,0]
    plotitem.amr_patchedges_show = [1,1,1,1,1,0,0]
    surgeplot.add_land(plotaxes)

    plotfigure = plotdata.new_plotfigure(name='Friction/Coriolis Source', 
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = False
    
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = gulf_xlimits
    plotaxes.ylimits = gulf_ylimits
    plotaxes.title = "Friction/Coriolis Source"
    plotaxes.afteraxes = surge_afteraxes
    plotaxes.scaled = True
    
    plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
    plotitem.plot_var = surgeplot.pressure_field + 2
    plotitem.pcolor_cmap = plt.get_cmap('PuBu')
    plotitem.pcolor_cmin = 0.0
    plotitem.pcolor_cmax = 1e-3
    plotitem.add_colorbar = True
    plotitem.colorbar_shrink = gulf_shrink
    plotitem.colorbar_label = "Source Strength"
    plotitem.amr_celledges_show = [0,0,0]
    plotitem.amr_patchedges_show = [1,1,1,1,1,0,0]
    surgeplot.add_land(plotaxes)

    #-----------------------------------------

    # Parameters used only when creating html and/or latex hardcopy
    # e.g., via pyclaw.plotters.frametools.printframes:

    if article:
        plotdata.printfigs = True                # print figures
        plotdata.print_format = 'png'            # file format
        plotdata.print_framenos = [54,60,66,72,78,84]            # list of frames to print
        plotdata.print_gaugenos = [1,2,3,4]          # list of gauges to print
        plotdata.print_fignos = [4,5,6,7,10,3,300]            # 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 = 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?

    else:
        plotdata.printfigs = True                # print figures
        plotdata.print_format = 'png'            # file format
        plotdata.print_framenos = 'all'            # list of frames to print
        plotdata.print_gaugenos = [1,2,3,4]          # list of gauges 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
示例#26
0
def setplot(plotdata):
    r"""Setplot function for surge plotting"""

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

    fig_num_counter = surge.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 = surge.track_data(os.path.join(plotdata.outdir, 'fort.track'))

    # Calculate landfall time, off by a day, maybe leap year issue?
    landfall_dt = datetime.datetime(2013, 10, 5, 0) - datetime.datetime(
        2013, 1, 1, 0)
    landfall = (landfall_dt.days - 1.0) * 24.0 * 60**2 + landfall_dt.seconds

    # Set afteraxes function
    surge_afteraxes = lambda cd: surge.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.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

    surge.add_surface_elevation(plotaxes,
                                plot_type='contourf',
                                contours=surface_contours,
                                shrink=gulf_shrink)
    surge.add_land(plotaxes, topo_min=-10.0, topo_max=5.0)
    # surge.add_bathy_contours(plotaxes)
    if article:
        plotaxes.plotitem_dict['surface'].add_colorbar = False
    else:
        add_custom_colorbar_ticks_to_axes(plotaxes, 'surface', surface_ticks,
                                          surface_labels)
    plotaxes.plotitem_dict['surface'].amr_patchedges_show = [
        1, 1, 1, 1, 1, 1, 1, 1
    ]

    #
    #  Water Speed
    #
    plotfigure = plotdata.new_plotfigure(name='Currents - Entire Domain',
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = True

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Currents'
    plotaxes.scaled = True
    plotaxes.xlimits = gulf_xlimits
    plotaxes.ylimits = gulf_ylimits
    plotaxes.afteraxes = gulf_after_axes

    # Speed
    surge.add_speed(plotaxes,
                    plot_type='contourf',
                    contours=speed_contours,
                    shrink=gulf_shrink)
    if article:
        plotaxes.plotitem_dict['speed'].add_colorbar = False
    else:
        add_custom_colorbar_ticks_to_axes(plotaxes, 'speed', speed_ticks,
                                          speed_labels)

    # Land
    surge.add_land(plotaxes)
    surge.add_bathy_contours(plotaxes)

    #
    # Friction field
    #
    plotfigure = plotdata.new_plotfigure(name='Friction',
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = friction_data.variable_friction and True

    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)

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = gulf_xlimits
    plotaxes.ylimits = gulf_ylimits
    # plotaxes.title = "Manning's N Coefficient"
    plotaxes.afteraxes = friction_after_axes
    plotaxes.scaled = True

    surge.add_friction(plotaxes, bounds=friction_bounds, shrink=0.9)
    plotaxes.plotitem_dict['friction'].amr_patchedges_show = [
        0, 0, 0, 0, 0, 0, 0
    ]
    plotaxes.plotitem_dict['friction'].colorbar_label = "$n$"

    # ========================================================================
    #  LaTex Shelf
    # ========================================================================
    latex_xlimits = [-97.5, -88.5]
    latex_ylimits = [27.5, 30.5]
    latex_shrink = 1.0

    def latex_after_axes(cd):
        if article:
            plt.subplots_adjust(left=0.07, bottom=0.14, right=1.0, top=0.86)
        else:
            plt.subplots_adjust(right=1.0)
        surge_afteraxes(cd)

    #
    # Surface
    #
    plotfigure = plotdata.new_plotfigure(name='Surface - LaTex Shelf',
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = True
    if article:
        plotfigure.kwargs = {'figsize': (8, 2.7), 'facecolor': 'none'}
    else:
        plotfigure.kwargs = {'figsize': (9, 2.7), 'facecolor': 'none'}

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

    surge.add_surface_elevation(plotaxes,
                                plot_type='contourf',
                                contours=surface_contours,
                                shrink=latex_shrink)

    if article:
        plotaxes.plotitem_dict['surface'].add_colorbar = False
        # plotaxes.afteraxes = lambda cd: article_latex_after_axes(cd, landfall)
    else:
        add_custom_colorbar_ticks_to_axes(
            plotaxes, 'surface', [-5, -2.5, 0, 2.5, 5.0],
            ["-5.0", "-2.5", " 0", " 2.5", " 5.0"])
    # plotaxes.plotitem_dict['surface'].contour_cmap = plt.get_cmap('OrRd')
    # surge.add_surface_elevation(plotaxes,plot_type='contour')
    surge.add_land(plotaxes)
    # plotaxes.plotitem_dict['surface'].amr_patchedges_show = [1,1,1,0,0,0,0]
    plotaxes.plotitem_dict['surface'].amr_patchedges_show = [
        0, 0, 0, 0, 0, 0, 0
    ]
    # plotaxes.plotitem_dict['land'].amr_patchedges_show = [1,1,1,0,0,0,0]
    plotaxes.plotitem_dict['land'].amr_patchedges_show = [0, 0, 0, 0, 0, 0, 0]

    # Plot using jet and 0.0 to 5.0 to match figgen generated ADCIRC results
    # plotaxes.plotitem_dict['surface'].pcolor_cmin = 0.0
    # plotaxes.plotitem_dict['surface'].pcolor_cmax = 5.0
    # plotaxes.plotitem_dict['surface'].pcolor_cmap = plt.get_cmap('jet')

    #
    # Water Speed
    #
    plotfigure = plotdata.new_plotfigure(name='Currents - LaTex Shelf',
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = True
    if article:
        plotfigure.kwargs = {'figsize': (8, 2.7), 'facecolor': 'none'}
    else:
        plotfigure.kwargs = {'figsize': (9, 2.7), 'facecolor': 'none'}

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.title = 'Currents'
    plotaxes.scaled = True
    plotaxes.xlimits = latex_xlimits
    plotaxes.ylimits = latex_ylimits
    plotaxes.afteraxes = latex_after_axes

    surge.add_speed(plotaxes,
                    plot_type='contourf',
                    contours=speed_contours,
                    shrink=latex_shrink)

    if article:
        plotaxes.plotitem_dict['speed'].add_colorbar = False
    else:
        add_custom_colorbar_ticks_to_axes(plotaxes, 'speed', speed_ticks,
                                          speed_labels)
    # surge.add_surface_elevation(plotaxes,plot_type='contour')
    surge.add_land(plotaxes)
    # plotaxes.plotitem_dict['speed'].amr_patchedges_show = [1,1,0,0,0,0,0]
    # plotaxes.plotitem_dict['land'].amr_patchedges_show = [1,1,1,0,0,0,0]
    plotaxes.plotitem_dict['speed'].amr_patchedges_show = [0, 0, 0, 0, 0, 0, 0]
    plotaxes.plotitem_dict['land'].amr_patchedges_show = [0, 0, 0, 0, 0, 0, 0]

    # ==========================
    #  Hurricane Forcing fields
    # ==========================

    # Pressure field
    plotfigure = plotdata.new_plotfigure(name='Pressure',
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = surge_data.pressure_forcing and True

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = gulf_xlimits
    plotaxes.ylimits = gulf_ylimits
    plotaxes.title = "Pressure Field"
    plotaxes.afteraxes = gulf_after_axes
    plotaxes.scaled = True

    surge.add_pressure(plotaxes, bounds=pressure_limits, shrink=gulf_shrink)
    surge.add_land(plotaxes)

    # Wind field
    plotfigure = plotdata.new_plotfigure(name='Wind Speed',
                                         figno=fig_num_counter.get_counter())
    plotfigure.show = surge_data.wind_forcing and True

    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = gulf_xlimits
    plotaxes.ylimits = gulf_ylimits
    plotaxes.title = "Wind Field"
    plotaxes.afteraxes = gulf_after_axes
    plotaxes.scaled = True

    surge.add_wind(plotaxes,
                   bounds=wind_limits,
                   plot_type='pcolor',
                   shrink=gulf_shrink)
    surge.add_land(plotaxes)

    # ========================================================================
    #  Figures for gauges
    # ========================================================================
    plotfigure = plotdata.new_plotfigure(name='Surface & topo', figno=300, \
                    type='each_gauge')
    plotfigure.show = True
    plotfigure.clf_each_gauge = True
    plotfigure.kwargs['figsize'] = (16, 10)

    # Set up for axes in this figure:
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = [-2, 1]
    # plotaxes.xlabel = "Days from landfall"
    # plotaxes.ylabel = "Surface (m)"
    plotaxes.ylimits = [-1, 5]
    plotaxes.title = 'Surface'
    # plotaxes.afteraxes = gauge_after_axes

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

    # =====================
    #  Gauge Location Plot
    # =====================
    gauge_xlimits = [-95.5, -94]
    gauge_ylimits = [29.0, 30.0]
    gauge_location_shrink = 0.75

    def gauge_after_axes(cd):
        # plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.97)
        surge_afteraxes(cd)
        surge.gauge_locations(cd, gaugenos=[1, 2, 3, 4])
        plt.title("Gauge Locations")

    plotfigure = plotdata.new_plotfigure(name='Gauge Locations',
                                         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 = gauge_xlimits
    plotaxes.ylimits = gauge_ylimits
    plotaxes.afteraxes = gauge_after_axes

    surge.add_surface_elevation(plotaxes,
                                plot_type='contourf',
                                contours=surface_contours,
                                shrink=gauge_location_shrink)
    # surge.add_surface_elevation(plotaxes, plot_type="contourf")
    add_custom_colorbar_ticks_to_axes(plotaxes, 'surface', surface_ticks,
                                      surface_labels)
    surge.add_land(plotaxes)
    # plotaxes.plotitem_dict['surface'].amr_patchedges_show = [0,0,0,0,0,0,0]
    # plotaxes.plotitem_dict['surface'].add_colorbar = False
    # plotaxes.plotitem_dict['surface'].pcolor_cmap = plt.get_cmap('jet')
    # plotaxes.plotitem_dict['surface'].pcolor_cmap = plt.get_cmap('gist_yarg')
    # plotaxes.plotitem_dict['surface'].pcolor_cmin = 0.0
    # plotaxes.plotitem_dict['surface'].pcolor_cmax = 5.0
    plotaxes.plotitem_dict['surface'].amr_patchedges_show = [
        0, 0, 0, 0, 0, 0, 0
    ]
    plotaxes.plotitem_dict['land'].amr_patchedges_show = [0, 0, 0, 0, 0, 0, 0]

    #-----------------------------------------

    # Parameters used only when creating html and/or latex hardcopy
    # e.g., via pyclaw.plotters.frametools.printframes:

    if article:
        plotdata.printfigs = True  # print figures
        plotdata.print_format = 'png'  # file format
        plotdata.print_framenos = [54, 60, 66, 72, 78,
                                   84]  # list of frames to print
        plotdata.print_gaugenos = [1, 2, 3, 4]  # list of gauges to print
        plotdata.print_fignos = [4, 5, 6, 7, 10, 3,
                                 300]  # 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 = 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?

    else:
        plotdata.printfigs = True  # print figures
        plotdata.print_format = 'png'  # file format
        plotdata.print_framenos = 'all'  # list of frames to print
        plotdata.print_gaugenos = [1, 2, 3, 4]  # list of gauges 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