def plotclaw(outdir='.',
plotdir='_plots',
setplot='setplot.py',
format='ascii',
msgfile=''):
"""
Create html and/or latex versions of plots.
INPUT:
setplot is a module containing a function setplot that will be called
to set various plotting parameters.
format specifies the format of the files output from Clawpack
"""
from clawpack.visclaw.data import ClawPlotData
from clawpack.visclaw import plotpages
plotdata = ClawPlotData()
plotdata.outdir = outdir
plotdata.plotdir = plotdir
plotdata.setplot = setplot
plotdata.format = format
plotdata.msgfile = msgfile
plotpages.plotclaw_driver(plotdata, verbose=False, format=format)
def plotclaw(outdir='.', plotdir='_plots', setplot = 'setplot.py',format='ascii'):
"""
Create html and/or latex versions of plots.
INPUT:
setplot is a module containing a function setplot that will be called
to set various plotting parameters.
format specifies the format of the files output from Clawpack
"""
from clawpack.visclaw.data import ClawPlotData
from clawpack.visclaw import plotpages
plotdata = ClawPlotData()
plotdata.outdir = outdir
plotdata.plotdir = plotdir
plotdata.setplot = setplot
plotdata.format = format
plotpages.plotclaw_driver(plotdata, verbose=False, format=format)
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]
def friction_after_axes(cd):
plt.title(r"Manning's $n$ Coefficient")
# ==========================================================================
# Plot specifications
# ==========================================================================
regions = {
"Gulf": {
"xlimits": (clawdata.lower[0], clawdata.upper[0]),
"ylimits": (clawdata.lower[1], clawdata.upper[1]),
"figsize": (6.4, 4.8)
},
"Texas Gulf Coast": {
"xlimits": (-99.2, -94.2),
"ylimits": (26.4, 30.4),
"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
# 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()
#Time Conversions
def days2seconds(days):
return days * 60.0**2 * 24.0
stations = [('8773037', 'Seadrift'), ('8773701', 'Port OConnor'),
('8774230', 'Aransas Wildlife Refuge'),
('8775237', 'Port Aransas'), ('8775296', 'USS Lexington')]
landfall_time = numpy.datetime64('2017-08-25T10:00')
begin_date = datetime.datetime(2017, 8, 24)
end_date = datetime.datetime(2017, 8, 28)
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) / numpy.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]
seconds_rel_landfall, actual_level = get_actual_water_levels(
station_id)
axes = plt.gca()
surgeplot.plot_landfall_gauge(cd.gaugesoln, axes)
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(-1), days2seconds(3)])
axes.set_ylim([-1, 5])
axes.set_xticks([
-days2seconds(-1), 0,
days2seconds(1),
days2seconds(2),
days2seconds(3)
])
#axes.set_xticklabels([r"$-1$", r"$0$", r"$1$", r"$2$", r"$3$"])
#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-'
#
# 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=False)
#Plot for gauge location 1
plotfigure = plotdata.new_plotfigure(name="Gauge Location 1")
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Gauge Location 1'
plotaxes.scaled = True
plotaxes.xlimits = [-96.83, -96.63]
plotaxes.ylimits = [28.33, 28.43]
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
#Plot for gauge location 2
plotfigure = plotdata.new_plotfigure(name="Gauge Location 2")
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Gauge Location 2'
plotaxes.scaled = True
plotaxes.xlimits = [-96.48, -96.28]
plotaxes.ylimits = [28.40, 28.50]
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
#Plot for gauge location 3
plotfigure = plotdata.new_plotfigure(name="Gauge Location 3")
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Gauge Location 3'
plotaxes.scaled = True
plotaxes.xlimits = [-96.85, -96.65]
plotaxes.ylimits = [28.17, 28.27]
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
#Plot for gauge location 4
plotfigure = plotdata.new_plotfigure(name="Gauge Location 4")
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Gauge Location 4'
plotaxes.scaled = True
plotaxes.xlimits = [-97.15, -96.95]
plotaxes.ylimits = [27.79, 27.89]
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
#Plot for gauge location 5
plotfigure = plotdata.new_plotfigure(name="Gauge Location 5")
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Gauge Location 5'
plotaxes.scaled = True
plotaxes.xlimits = [-97.48, -97.28]
plotaxes.ylimits = [27.75, 27.85]
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] # 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):
#--------------------------
"""
Specify what is to be plotted at each frame.
Input: plotdata, an instance of clawpack.visclaw.data.ClawPlotData.
Output: a modified version of plotdata.
"""
# Reversing time in adjoint output
setadjoint()
if plotdata is None:
from clawpack.visclaw.data import ClawPlotData
plotdata = ClawPlotData()
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.format = 'binary' # 'ascii', 'binary', 'netcdf'
def fix_plot(current_data):
from pylab import plot
from pylab import xticks,yticks,xlabel,ylabel,savefig,ylim,title
t = current_data.t
plot([0., 0.], [-1000., 1000.], 'k--')
title('Adjoint at t = %5.3f seconds' % t, fontsize=26)
yticks(fontsize=23)
xticks(fontsize=23)
# Figure for q[0]
plotfigure = plotdata.new_plotfigure(name='Adjoint', figno=1)
plotfigure.kwargs = {'figsize': (10,3.5)}
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = [-12,12]
plotaxes.ylimits = [-0.5,4.3]
plotaxes.title = 'Adjoint'
plotaxes.afteraxes = fix_plot
# Set up for item on these axes:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 0
plotitem.amr_color = 'b'
plotitem.amr_plotstyle = 'o'
plotitem.amr_kwargs = [{'linewidth':2}]
plotitem.amr_kwargs = [{'markersize':4}]
plotitem.outdir = '../../adjoint/_outputReversed'
# Parameters used only when creating html and/or latex hardcopy
# e.g., via clawpack.visclaw.frametools.printframes:
plotdata.printfigs = True # print figures
plotdata.print_format = 'png' # file format
plotdata.print_framenos = 'all' # list of frames to print
plotdata.print_fignos = 'all' # list of figures to print
plotdata.html = True # create html files of plots?
plotdata.html_homelink = '../README.html'
plotdata.latex = True # create latex file of plots?
plotdata.latex_figsperline = 2 # layout of plots
plotdata.latex_framesperline = 1 # layout of plots
plotdata.latex_makepdf = False # also run pdflatex?
return plotdata
def setplot(plotdata=None):
#--------------------------
"""
Specify what is to be plotted at each frame.
Input: plotdata, an instance of pyclaw.plotters.data.ClawPlotData.
Output: a modified version of plotdata.
"""
from clawpack.visclaw import colormaps, geoplot
from numpy import linspace
if plotdata is None:
from clawpack.visclaw.data import ClawPlotData
plotdata = ClawPlotData()
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.format = 'ascii' # 'ascii' or 'binary' to match setrun.py
# To plot gauge locations on pcolor or contour plot, use this as
# an afteraxis function:
def addgauges(current_data):
from clawpack.visclaw import gaugetools
gaugetools.plot_gauge_locations(current_data.plotdata, \
gaugenos='all', format_string='ko', add_labels=True)
#-----------------------------------------
# Figure for surface
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Surface', figno=0)
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes('pcolor')
plotaxes.title = 'Surface'
plotaxes.scaled = True
def fixup(current_data):
import pylab
addgauges(current_data)
t = current_data.t
t = t / 3600. # hours
pylab.title('Surface at %4.2f hours' % t, fontsize=20)
pylab.xticks(fontsize=15)
pylab.yticks(fontsize=15)
plotaxes.afteraxes = fixup
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
#plotitem.plot_var = geoplot.surface
plotitem.plot_var = geoplot.surface_or_depth
plotitem.pcolor_cmap = geoplot.tsunami_colormap
plotitem.pcolor_cmin = -0.2
plotitem.pcolor_cmax = 0.2
plotitem.add_colorbar = True
plotitem.amr_celledges_show = [0,0,0]
plotitem.patchedges_show = 1
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [1,1,0]
plotitem.patchedges_show = 1
plotaxes.xlimits = [-120,-60]
plotaxes.ylimits = [-60,0]
# add contour lines of bathy if desired:
plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
plotitem.show = False
plotitem.plot_var = geoplot.topo
plotitem.contour_levels = linspace(-3000,-3000,1)
plotitem.amr_contour_colors = ['y'] # color on each level
plotitem.kwargs = {'linestyles':'solid','linewidths':2}
plotitem.amr_contour_show = [1,0,0]
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
#-----------------------------------------
# Figures for gauges
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Surface at gauges', figno=300, \
type='each_gauge')
plotfigure.clf_each_gauge = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = 'auto'
plotaxes.ylimits = 'auto'
plotaxes.title = 'Surface'
# 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, axis, xlabel
t = current_data.t
gaugeno = current_data.gaugeno
if gaugeno == 32412:
try:
plot(TG32412[:,0], TG32412[:,1], 'r')
legend(['GeoClaw','Obs'],loc='lower right')
except: pass
axis((0,t.max(),-0.3,0.3))
plot(t, 0*t, 'k')
n = int(floor(t.max()/3600.) + 2)
xticks([3600*i for i in range(n)], ['%i' % i for i in range(n)])
xlabel('time (hours)')
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_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?
plotdata.parallel = True # make multiple frame png's at once
return plotdata
def setplot(plotdata=None):
#--------------------------
"""
Specify what is to be plotted at each frame.
Input: plotdata, an instance of pyclaw.plotters.data.ClawPlotData.
Output: a modified version of plotdata.
"""
from clawpack.visclaw import colormaps, geoplot
from numpy import linspace
if plotdata is None:
from clawpack.visclaw.data import ClawPlotData
plotdata = ClawPlotData()
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.format = 'binary'
# To plot gauge locations on pcolor or contour plot, use this as
# an afteraxis function:
def addgauges(current_data):
from clawpack.visclaw import gaugetools
gaugetools.plot_gauge_locations(current_data.plotdata, \
gaugenos='all', format_string='ko', add_labels=True)
#-----------------------------------------
# Figure for surface
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Surface', figno=0)
plotfigure.kwargs = {'figsize': (8, 5)}
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes('pcolor')
plotaxes.title = 'Surface'
plotaxes.scaled = True
def fixup(current_data):
import pylab
addgauges(current_data)
t = current_data.t
t = t / 3600. # hours
pylab.title('Surface at %4.2f hours' % t, fontsize=20)
pylab.grid(True)
#pylab.xticks(fontsize=15)
#pylab.yticks(fontsize=15)
plotaxes.afteraxes = fixup
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
#plotitem.plot_var = geoplot.surface
plotitem.plot_var = geoplot.surface_or_depth
plotitem.pcolor_cmap = colormaps.red_white_blue #geoplot.tsunami_colormap
plotitem.pcolor_cmin = sea_level - 0.1
plotitem.pcolor_cmax = sea_level + 0.1
plotitem.add_colorbar = False
#plotitem.colorbar_shrink = 0.5
plotitem.colorbar_shrink = 1.0
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.patchedges_show = 0
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.patchedges_show = 0
plotaxes.xlimits = [-230, -115]
plotaxes.ylimits = [0, 65]
# add contour lines of bathy if desired:
plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
plotitem.show = False
plotitem.plot_var = geoplot.topo
plotitem.contour_levels = linspace(-3000, -3000, 1)
plotitem.amr_contour_colors = ['y'] # color on each level
plotitem.kwargs = {'linestyles': 'solid', 'linewidths': 2}
plotitem.amr_contour_show = [1, 0, 0]
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
#-----------------------------------------
# Figure for adjoint
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Adjoint ', figno=20)
plotfigure.kwargs = {'figsize': (8, 5)}
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes('adjoint')
plotaxes.scaled = True
plotaxes.title = 'Adjoint flag'
def fixup(current_data):
import pylab
addgauges(current_data)
t = current_data.t
t = t / 3600. # hours
pylab.title('Adjoint flag at %4.2f hours' % t, fontsize=20)
pylab.grid(True)
plotaxes.afteraxes = fixup
adj_flag_tol = 0.000001
def masked_inner_product(current_data):
from numpy import ma
q = current_data.q
soln = ma.masked_where(q[4, :, :] < adj_flag_tol, q[4, :, :])
return soln
def masked_regions(current_data):
from numpy import ma
q = current_data.q
soln = ma.masked_where(q[4, :, :] < 1e9, q[4, :, :])
return soln
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = 4 #masked_inner_product
plotitem.pcolor_cmap = colormaps.white_red
plotitem.pcolor_cmin = 0.5 * adj_flag_tol
plotitem.pcolor_cmax = 6 * adj_flag_tol
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0]
plotitem.amr_data_show = [1, 1, 0, 0, 0, 0, 0]
plotitem.patchedges_show = 0
#plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
#plotitem.plot_var = masked_regions
#plotitem.pcolor_cmap = colormaps.white_blue
#plotitem.pcolor_cmin = 9e9
#plotitem.pcolor_cmax = 1.1e10
#plotitem.add_colorbar = False
#plotitem.amr_celledges_show = [0]
#plotitem.amr_data_show = [1,1,0,0]
#plotitem.patchedges_show = 0
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.patchedges_show = 0
plotaxes.xlimits = [-230, -115]
plotaxes.ylimits = [0, 65]
#-----------------------------------------
# Figure for levels
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Grid patches', figno=10)
plotfigure.kwargs = {'figsize': (8, 5)}
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Grid patches'
plotaxes.scaled = True
def aa_patches(current_data):
import pylab
pylab.ticklabel_format(format='plain', useOffset=False)
pylab.xticks([180, 200, 220, 240], rotation=20, fontsize=28)
pylab.yticks(fontsize=28)
t = current_data.t
t = t / 3600. # hours
pylab.title('Grids patches at %4.2f hours' % t, fontsize=20)
a = pylab.gca()
a.set_aspect(1. / pylab.cos(41.75 * pylab.pi / 180.))
pylab.grid(True)
def fixup(current_data):
import pylab
addgauges(current_data)
t = current_data.t
t = t / 3600. # hours
pylab.title('Grids patches at %4.2f hours' % t, fontsize=20)
pylab.grid(True)
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_patch')
plotitem.amr_patch_bgcolor = [[1, 1, 1], [0.8, 0.8, 0.8], [0.8, 1, 0.8],
[1, .7, .7], [0.6, 0.6, 1]]
plotitem.amr_patchedges_color = ['k', 'k', 'g', 'r', 'b']
plotitem.amr_celledges_show = [0]
plotitem.amr_patchedges_show = [0, 1, 1, 1, 1]
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0]
plotitem.amr_patchedges_show = [0]
plotaxes.afteraxes = fixup
plotaxes.xlimits = [-230, -115]
plotaxes.ylimits = [0, 65]
#-----------------------------------------
# Zoom
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Crescent City', figno=1)
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes('pcolor')
plotaxes.title = 'Surface'
plotaxes.scaled = True
plotaxes.afteraxes = fixup
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
#plotitem.plot_var = geoplot.surface
plotitem.plot_var = geoplot.surface_or_depth
plotitem.pcolor_cmap = geoplot.tsunami_colormap
plotitem.pcolor_cmin = sea_level - 0.1
plotitem.pcolor_cmax = sea_level + 0.1
plotitem.add_colorbar = True
#plotitem.colorbar_shrink = 0.5
plotitem.colorbar_shrink = 1.0
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.patchedges_show = 0
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.patchedges_show = 0
######## Limits below encompass Crescent City
plotaxes.xlimits = [-127, -123.5]
plotaxes.ylimits = [40.5, 44.5]
#-----------------------------------------
# Zoom2
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Crescent City Zoomed', figno=2)
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes('pcolor')
plotaxes.title = 'Surface'
plotaxes.scaled = True
plotaxes.afteraxes = fixup
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
#plotitem.plot_var = geoplot.surface
plotitem.plot_var = geoplot.surface_or_depth
plotitem.pcolor_cmap = geoplot.tsunami_colormap
plotitem.pcolor_cmin = sea_level - 0.1
plotitem.pcolor_cmax = sea_level + 0.1
plotitem.add_colorbar = True
#plotitem.colorbar_shrink = 0.5
plotitem.colorbar_shrink = 1.0
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.patchedges_show = 0
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.patchedges_show = 0
######## Limits below encompass Crescent City zoomed area
plotaxes.xlimits = [-124.235, -124.143]
plotaxes.ylimits = [41.716, 41.783]
#-----------------------------------------
# Figures for gauges
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Surface at gauges', figno=300, \
type='each_gauge')
plotfigure.clf_each_gauge = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = [9.5 * 3600, 15 * 3600]
plotaxes.ylimits = [-3, 3]
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, axis, xlabel
t = current_data.t
gaugeno = current_data.gaugeno
plot(t, 0 * t, 'k')
n = int(floor(t.max() / 3600.) + 2)
#xticks([3600*i for i in range(n)], ['%i' % i for i in range(n)])
xticks([3600 * i for i in range(9, n)],
['%i' % i for i in range(9, n)])
xlabel('time (hours)')
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_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?
plotdata.parallel = True # make multiple frame png's at once
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 = [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 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 False
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
def setplot(plotdata=None):
#--------------------------
"""
Specify what is to be plotted at each frame.
Input: plotdata, an instance of pyclaw.plotters.data.ClawPlotData.
Output: a modified version of plotdata.
"""
if plotdata is None:
from clawpack.visclaw.data import ClawPlotData
plotdata = ClawPlotData()
from clawpack.visclaw import colormaps, geoplot
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.format = 'ascii' # Format of output
print('Reading all gauges...')
gauge_solutions = particle_tools.read_gauges(gaugenos='all',
outdir=plotdata.outdir)
gaugenos_lagrangian = [k for k in gauge_solutions.keys() \
if gauge_solutions[k].gtype=='lagrangian']
gaugenos_stationary = [k for k in gauge_solutions.keys() \
if gauge_solutions[k].gtype=='stationary']
print('+++ gaugenos_lagrangian: ', gaugenos_lagrangian)
def add_particles(current_data):
t = current_data.t
# plot recent path:
t_path_length = 10. # length of path trailing particle
kwargs_plot_path = {'linewidth': 1, 'color': 'k'}
particle_tools.plot_paths(gauge_solutions,
t1=t - t_path_length,
t2=t,
gaugenos=gaugenos_lagrangian,
kwargs_plot=kwargs_plot_path)
# plot current location:
kwargs_plot_point = {'marker': 'o', 'markersize': 3, 'color': 'k'}
particle_tools.plot_particles(gauge_solutions,
t,
gaugenos=gaugenos_lagrangian,
kwargs_plot=kwargs_plot_point)
# plot any stationary gauges:
gaugetools.plot_gauge_locations(current_data.plotdata, \
gaugenos=gaugenos_stationary, format_string='kx', add_labels=False)
kwargs = {'loc': 'upper left'}
legend_tools.add_legend(['Lagrangian particle', 'Stationary gauge'],
linestyles=['', ''],
markers=['o', 'x'],
loc='lower right',
framealpha=0.5,
fontsize=10)
def speed(current_data):
from pylab import sqrt, where, zeros
from numpy.ma import masked_where, allequal
q = current_data.q
h = q[0, :, :]
hs = sqrt(q[1, :, :]**2 + q[2, :, :]**2)
s = where(h > 1e-3, hs / h, 0.)
s = masked_where(h < 1e-3, s)
s = s * 1.94384 # convert to knots
return s
speed_cmap = colormaps.make_colormap({
0: [0, 1, 1],
0.5: [1, 1, 0],
1: [1, 0, 0]
})
#-----------------------------------------
# Figure for pcolor plot
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='pcolor', figno=0)
plotfigure.kwargs = {'figsize': (9, 4)}
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes('pcolor')
plotaxes.title = 'Speed'
plotaxes.scaled = True
plotaxes.xlimits = [0, 80]
plotaxes.ylimits = [0, 50]
plotaxes.afteraxes = add_particles
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
#plotitem.plot_var = geoplot.surface
#plotitem.plot_var = geoplot.surface_or_depth
plotitem.plot_var = speed
#plotitem.pcolor_cmap = geoplot.tsunami_colormap
plotitem.pcolor_cmap = speed_cmap
plotitem.pcolor_cmin = 0.
plotitem.pcolor_cmax = 20
plotitem.add_colorbar = True
plotitem.colorbar_label = 'knots'
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.amr_patchedges_show = [1]
plotitem.amr_patchedges_color = ['m', 'g', 'w']
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
#plotitem.show = False
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0, 0, 0]
# Add contour lines of topography:
plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
plotitem.show = False
plotitem.plot_var = geoplot.topo
from numpy import arange, linspace
plotitem.contour_levels = arange(-75, 75, 10)
#plotitem.contour_nlevels = 10
plotitem.amr_contour_colors = ['g'] # color on each level
plotitem.kwargs = {'linestyles': 'solid'}
plotitem.amr_contour_show = [1, 1, 1] # show contours only on finest level
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
#-----------------------------------------
# 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 = [-100, 100]
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')
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
t = current_data.t
legend(('surface', 'topography'), loc='lower left')
plot(t, 0 * t, 'k')
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 = range(40)
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?
plotdata.parallel = True # make multiple frame png's at once
plotdata.html_movie_width = 700 # width used in JSAnimation
return plotdata
def setplot(plotdata=None):
#--------------------------
"""
Specify what is to be plotted at each frame.
Input: plotdata, an instance of pyclaw.plotters.data.ClawPlotData.
Output: a modified version of plotdata.
"""
from clawpack.visclaw import colormaps, geoplot
from numpy import linspace
if plotdata is None:
from clawpack.visclaw.data import ClawPlotData
plotdata = ClawPlotData()
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.format = 'binary'
# To plot gauge locations on pcolor or contour plot, use this as
# an afteraxis function:
def addgauges(current_data):
from clawpack.visclaw import gaugetools
gaugetools.plot_gauge_locations(current_data.plotdata, \
gaugenos='all', format_string='ko', add_labels=True)
def timeformat(t):
from numpy import mod
hours = int(t/3600.)
tmin = mod(t,3600.)
min = int(tmin/60.)
sec = int(mod(tmin,60.))
timestr = '%s:%s:%s' % (hours,str(min).zfill(2),str(sec).zfill(2))
return timestr
def title_hours(current_data):
from pylab import title
t = current_data.t
timestr = timeformat(t)
title('%s after earthquake' % timestr)
#-----------------------------------------
# Figure for surface
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Surface', figno=0)
plotfigure.kwargs = {'figsize':(8,5)}
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Surface'
plotaxes.scaled = False # need to set aspect ratio properly for lat/long
def aa(current_data):
from pylab import ticklabel_format, xticks, gca, cos, pi, savefig
gca().set_aspect(1./cos(48*pi/180.))
title_hours(current_data)
ticklabel_format(useOffset=False)
xticks(rotation=20)
plotaxes.afteraxes = aa
#plotaxes.xlimits = [-122.7,-122.16]
#plotaxes.ylimits = [47.2,48.3]
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
#plotitem.plot_var = geoplot.surface
plotitem.plot_var = geoplot.surface_or_depth
plotitem.pcolor_cmap = geoplot.tsunami_colormap
plotitem.pcolor_cmin = cmin
plotitem.pcolor_cmax = cmax
plotitem.add_colorbar = True
plotitem.colorbar_shrink = 0.8
plotitem.amr_celledges_show = [0]
#plotitem.celledges_show = 0
#plotitem.patchedges_show = 0
plotitem.amr_patchedges_show = [0]
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = cmax_land
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0]
plotitem.patchedges_show = 0
#-----------------------------------------
# Figure for zoom on Eagle Harbor
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name="fgmax region", figno=11)
#plotfigure.show = False
plotfigure.kwargs = {'figsize': (9,6)}
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.scaled = False
plotaxes.xlimits = [-122.55,-122.48]
plotaxes.ylimits = [47.61,47.64]
if bg_image:
plotaxes.beforeaxes = background_image
plotaxes.afteraxes = aa
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.surface_or_depth
plotitem.pcolor_cmap = geoplot.tsunami_colormap
plotitem.pcolor_cmin = cmin
plotitem.pcolor_cmax = cmax
plotitem.add_colorbar = True
plotitem.amr_data_show = [0,0,1] # only show on finest
plotitem.amr_celledges_show = [0,0,0]
plotitem.patchedges_show = 0
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.show = False
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = cmax_land
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0]
plotitem.patchedges_show = 0
# add contour lines of bathy if desired:
plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
#plotitem.show = False
plotitem.plot_var = geoplot.topo
plotitem.contour_levels = [0]
plotitem.amr_contour_colors = ['yellow'] # color on each level
plotitem.kwargs = {'linestyles':'solid','linewidths':2}
plotitem.amr_contour_show = [0,0,1]
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
#-----------------------------------------
# Figure for zoom on Bainbridge / Seattle
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name="Bainbridge", figno=12)
# not needed for this small domain
plotfigure.show = False
plotfigure.kwargs = {'figsize': (9,6)}
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.scaled = False
plotaxes.xlimits = [-122.65, -122.3]
plotaxes.ylimits = [47.5, 47.76]
plotaxes.afteraxes = aa
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
#plotitem.plot_var = geoplot.surface
plotitem.plot_var = geoplot.surface_or_depth
plotitem.pcolor_cmap = geoplot.tsunami_colormap
plotitem.pcolor_cmin = cmin
plotitem.pcolor_cmax = cmax
plotitem.add_colorbar = True
plotitem.amr_celledges_show = [0,0,0]
plotitem.patchedges_show = 0
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = cmax_land
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0]
plotitem.patchedges_show = 0
#-----------------------------------------
# Figures for gauges
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='gauge plot', figno=300, \
type='each_gauge')
plotfigure.kwargs = {'figsize': (11,6)}
#plotfigure.clf_each_gauge = False
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.axescmd = 'subplot(2,1,1)'
#plotaxes.ylimits = [-1,10]
plotaxes.title = 'Flow depth'
plotaxes.time_scale = 1./60.
plotaxes.time_label = ''
def add_ylabel_depth(current_data):
from pylab import ylabel, grid
ylabel('water depth (m)')
grid(True)
plotaxes.afteraxes = add_ylabel_depth
# Plot depth as blue curve:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 0
plotitem.plotstyle = 'b-'
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.axescmd = 'subplot(2,1,2)'
#plotaxes.ylimits = [-1,10]
plotaxes.title = 'Flow speed (m/s)'
plotaxes.time_scale = 1./60.
plotaxes.time_label = 'minutes'
def add_ylabel_speed(current_data):
from pylab import ylabel, tight_layout, grid
ylabel('speed (m/s)')
grid(True)
tight_layout()
plotaxes.afteraxes = add_ylabel_speed
def speed(current_data):
from numpy import sqrt, maximum
q = current_data.q
h = q[0,:]
hu = q[1,:]
hv = q[2,:]
s = sqrt(hu**2 + hv**2) / maximum(h,0.001)
return s
# Plot depth as blue curve:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = speed
plotitem.plotstyle = 'b-'
#-----------------------------------------
# Figures for fgmax plots
#-----------------------------------------
# Note: need to move fgmax png files into _plots after creating with
# python run_process_fgmax.py
# This just creates the links to these figures...
if 0:
otherfigure = plotdata.new_otherfigure(name='max depth',
fname='depth.png')
otherfigure = plotdata.new_otherfigure(name='max speed',
fname='speed.png')
#-----------------------------------------
# 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?
plotdata.parallel = True # make multiple frame png's at once
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 = [-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):
#--------------------------
"""
Specify what is to be plotted at each frame.
Input: plotdata, an instance of clawpack.visclaw.data.ClawPlotData.
Output: a modified version of plotdata.
"""
if plotdata is None:
from clawpack.visclaw.data import ClawPlotData
plotdata = ClawPlotData()
from clawpack.visclaw import colormaps
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.format = "ascii"
# Figure for pcolor plot
plotfigure = plotdata.new_plotfigure(name='q[0]', figno=0)
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = 'auto'
plotaxes.ylimits = 'auto'
plotaxes.title = 'q[0]'
plotaxes.scaled = True
plotaxes.afteraxes = addgauges
# Set up for item on these axes:
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = 0
plotitem.pcolor_cmap = colormaps.red_yellow_blue
plotitem.pcolor_cmin = -1.
plotitem.pcolor_cmax = 1.
plotitem.add_colorbar = True
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
plotitem.MappedGrid = True
plotitem.mapc2p = mapc2p
plotitem.show = True # show on plot?
# Figure for contour plot
plotfigure = plotdata.new_plotfigure(name='contour', figno=1)
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = 'auto'
plotaxes.ylimits = 'auto'
plotaxes.title = 'q[0]'
plotaxes.scaled = True
# Set up for item on these axes:
plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
plotitem.plot_var = 0
plotitem.contour_levels = np.linspace(-0.9, 0.9, 10)
plotitem.amr_contour_colors = ['k', 'b']
plotitem.patchedges_show = 1
plotitem.MappedGrid = True
plotitem.mapc2p = mapc2p
plotitem.show = True # show on plot?
# Figure for grids
plotfigure = plotdata.new_plotfigure(name='grids', figno=2)
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = 'auto'
plotaxes.ylimits = 'auto'
plotaxes.title = 'grids'
plotaxes.scaled = True
# Set up for item on these axes:
plotitem = plotaxes.new_plotitem(plot_type='2d_patch')
plotitem.MappedGrid = True
plotitem.mapc2p = mapc2p
plotitem.amr_celledges_show = [1, 1, 0]
plotitem.amr_patchedges_show = [1]
#-----------------------------------------
# Figures for gauges
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='q', figno=300, \
type='each_gauge')
plotfigure.clf_each_gauge = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = 'auto'
plotaxes.ylimits = 'auto'
plotaxes.title = 'q'
# Plot q as blue curve:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 0
plotitem.plotstyle = 'b-'
# Parameters used only when creating html and/or latex hardcopy
# e.g., via clawpack.visclaw.frametools.printframes:
plotdata.printfigs = True # print figures
plotdata.print_format = 'png' # file format
plotdata.print_framenos = 'all' # list of frames to print
plotdata.print_fignos = 'all' # list of figures to print
plotdata.html = True # create html files of plots?
plotdata.html_homelink = '../README.html' # pointer for top of index
plotdata.html_movie = 'JSAnimation' # new style, or "4.x" for old style
plotdata.latex = True # create latex file of plots?
plotdata.latex_figsperline = 2 # layout of plots
plotdata.latex_framesperline = 1 # layout of plots
plotdata.latex_makepdf = False # also run pdflatex?
plotdata.parallel = True # make multiple frame png's at once
return plotdata
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
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
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
def setplot(plotdata=None):
#--------------------------
"""
Specify what is to be plotted at each frame.
Input: plotdata, an instance of pyclaw.plotters.data.ClawPlotData.
Output: a modified version of plotdata.
"""
from clawpack.visclaw import colormaps, geoplot
from numpy import linspace
if plotdata is None:
from clawpack.visclaw.data import ClawPlotData
plotdata = ClawPlotData()
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.format = 'binary' # 'ascii', 'binary', 'netcdf'
# To plot gauge locations on pcolor or contour plot, use this as
# an afteraxis function:
def addgauges(current_data):
from clawpack.visclaw import gaugetools
gaugetools.plot_gauge_locations(current_data.plotdata, \
gaugenos='all', format_string='ko', add_labels=True)
def timeformat(t):
from numpy import mod
hours = int(t / 3600.)
tmin = mod(t, 3600.)
min = int(tmin / 60.)
sec = int(mod(tmin, 60.))
timestr = '%s:%s:%s' % (hours, str(min).zfill(2), str(sec).zfill(2))
return timestr
def title_hours(current_data):
from pylab import title
t = current_data.t
timestr = timeformat(t)
title('Adjoint time %s before time of interest' % timestr)
#-----------------------------------------
# Figure for surface
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Surface', figno=0)
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes('pcolor')
plotaxes.title = 'Adjoint'
plotaxes.scaled = True
plotaxes.afteraxes = title_hours
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
#plotitem.plot_var = geoplot.surface
plotitem.plot_var = geoplot.surface_or_depth
plotitem.pcolor_cmap = geoplot.tsunami_colormap
plotitem.pcolor_cmin = -0.005
plotitem.pcolor_cmax = 0.005
plotitem.add_colorbar = True
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.patchedges_show = 0
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.patchedges_show = 0
plotaxes.xlimits = [-120, -60]
plotaxes.ylimits = [-60, 0]
# add contour lines of bathy if desired:
plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
plotitem.show = False
plotitem.plot_var = geoplot.topo
plotitem.contour_levels = linspace(-3000, -3000, 1)
plotitem.amr_contour_colors = ['y'] # color on each level
plotitem.kwargs = {'linestyles': 'solid', 'linewidths': 2}
plotitem.amr_contour_show = [1, 0, 0]
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
#-----------------------------------------
# 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?
plotdata.parallel = True # make multiple frame png's at once
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 = [-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 friction_after_axes(cd):
plt.title(r"Manning's $n$ Coefficient")
# ==========================================================================
# 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.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)
# ========================================================================
# 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 = [-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
from pylab import *
from clawpack.visclaw.data import ClawPlotData
if 0:
gdata = loadtxt('gauges.data',skiprows=7)
ngauges = gdata.shape[0]
print "Found %s gauges" % ngauges
xc = gdata[:,1]
yc = gdata[:,2]
# Load ClawplotData
plotdata = ClawPlotData()
plotdata.format = 'binary'
plotdata.outdir = '_output'
def plot_gauges(goffset=0):
if goffset == 0:
ngauges = 100 # top surface
elif goffset == 200:
ngauges = 100 # bottom of domain
elif goffset == 300:
ngauges = 50 # above fault plane
elif goffset == 400:
ngauges = 50 # below fault plane
plot_okada = (goffset==0)
figure()
def setplot(plotdata=None):
#--------------------------
"""
Specify what is to be plotted at each frame.
Input: plotdata, an instance of pyclaw.plotters.data.ClawPlotData.
Output: a modified version of plotdata.
"""
from clawpack.visclaw import colormaps, geoplot
from numpy import linspace
if plotdata is None:
from clawpack.visclaw.data import ClawPlotData
plotdata = ClawPlotData()
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.format = 'binary'
# To plot gauge locations on pcolor or contour plot, use this as
# an afteraxis function:
def addgauges(current_data):
from clawpack.visclaw import gaugetools
gaugetools.plot_gauge_locations(current_data.plotdata, \
gaugenos='all', format_string='ko', add_labels=True)
def timeformat(t):
from numpy import mod
hours = int(t/3600.)
tmin = mod(t,3600.)
min = int(tmin/60.)
sec = int(mod(tmin,60.))
timestr = '%s:%s:%s' % (hours,str(min).zfill(2),str(sec).zfill(2))
return timestr
def title_hours(current_data):
from pylab import title
t = current_data.t
timestr = timeformat(t)
title('%s after earthquake' % timestr)
def discrete_cmap_reds(clines):
from numpy import floor, linspace, hstack, ones, zeros
nlines = len(clines)
Red = ones(nlines)
Green = Blue = linspace(1,0,nlines)
colors = list(zip(Red,Green,Blue))
return colors
#-----------------------------------------
# Figure for surface
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Surface', figno=0)
plotfigure.kwargs = {'figsize': (10,6)}
#plotfigure.show = False
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes('pcolor')
plotaxes.title = 'Surface'
plotaxes.scaled = True
plotaxes.xlimits = [-140,-122]
plotaxes.ylimits = [40,50]
def fixup(current_data):
import pylab
#addgauges(current_data)
#t = current_data.t
#t = t / 3600. # hours
#pylab.title('Surface at %4.2f hours' % t, fontsize=20)
title_hours(current_data)
pylab.xticks(fontsize=10)
pylab.yticks(fontsize=10)
pylab.xlabel('longitude',fontsize=10)
pylab.ylabel('latitude',fontsize=10)
plotaxes.afteraxes = fixup
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
#plotitem.plot_var = geoplot.surface
plotitem.plot_var = geoplot.surface_or_depth
plotitem.pcolor_cmap = geoplot.tsunami_colormap
plotitem.pcolor_cmin = -0.2
plotitem.pcolor_cmax = 0.2
plotitem.add_colorbar = True
plotitem.colorbar_shrink = 0.7
plotitem.amr_celledges_show = [0,0,0]
#plotitem.amr_data_show = [1,1,1,0]
plotitem.patchedges_show = 0
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0,0,0]
plotitem.patchedges_show = 0
#plotitem.amr_data_show = [1,1,1,0]
# add contour lines of bathy if desired:
plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
plotitem.show = False
plotitem.plot_var = geoplot.topo
plotitem.contour_levels = linspace(-2700,-300,9)
plotitem.amr_contour_colors = ['k'] # color on each level
plotitem.kwargs = {'linestyles':'solid','linewidths':1}
plotitem.amr_contour_show = [0,0,0,1,0]
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
#-----------------------------------------
# Zoom
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='coast', figno=1)
plotfigure.kwargs = {'figsize':(10,5)}
#plotfigure.show = False
def title_hours(current_data):
# with increased fontsize
from pylab import title
t = current_data.t
timestr = timeformat(t)
title('%s after earthquake' % timestr, fontsize=15)
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes('pcolor')
plotaxes.title = 'Surface'
plotaxes.scaled = True
plotaxes.afteraxes = fixup
plotaxes.xlimits = [-128,-123.5]
plotaxes.ylimits = [43.,45]
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.show = False
#plotitem.plot_var = geoplot.surface
plotitem.plot_var = geoplot.surface_or_depth
plotitem.pcolor_cmap = geoplot.tsunami_colormap
plotitem.pcolor_cmin = -0.5
plotitem.pcolor_cmax = 0.5
plotitem.add_colorbar = False
plotitem.colorbar_shrink = 0.7
plotitem.amr_celledges_show = [0,0,0]
plotitem.patchedges_show = 0
plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
#plotitem.show = False
plotitem.plot_var = geoplot.surface_or_depth
plotitem.contour_levels = np.arange(0.025,0.60,0.025)
plotitem.amr_contour_colors = ['r'] # color on each level
plotitem.kwargs = {'linestyles':'solid','linewidths':1.3}
plotitem.amr_contour_show = [0,0,0,1,0]
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
plotitem = plotaxes.new_plotitem(plot_type='2d_contourf')
plotitem.plot_var = geoplot.surface_or_depth
plotitem.contour_levels = np.arange(0.025,0.60,0.025)
wave_colors = discrete_cmap_reds(plotitem.contour_levels)
plotitem.fill_colors = wave_colors
plotitem.kwargs = {'extend':'max'}
plotitem.amr_contour_show = [0,0,0,1,0]
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 10000.0
plotitem.add_colorbar = False
plotitem.amr_data_show = [0,0,0,1]
plotitem.patchedges_show = 0
# add contour lines of bathy if desired:
plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
#plotitem.show = False
plotitem.plot_var = geoplot.topo
plotitem.contour_levels = linspace(-2700,-300,9)
plotitem.amr_contour_colors = ['k'] # color on each level
plotitem.kwargs = {'linestyles':'solid','linewidths':1}
plotitem.amr_contour_show = [0,0,0,1,0]
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
#-----------------------------------------
# Figures for gauges
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Surface at gauges', figno=300, \
type='each_gauge')
plotfigure.clf_each_gauge = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = 'auto'
plotaxes.ylimits = 'auto'
plotaxes.title = 'Surface'
# 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, axis, xlabel
t = current_data.t
gaugeno = current_data.gaugeno
plot(t, 0*t, 'k')
n = int(floor(t.max()/3600.) + 2)
xticks([3600*i for i in range(n)], ['%i' % i for i in range(n)])
xlabel('time (hours)')
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_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?
plotdata.parallel = True # make multiple frame png's at once
return plotdata
def setplot(plotdata=None):
# --------------------------
"""
Specify what is to be plotted at each frame.
Input: plotdata, an instance of pyclaw.plotters.data.ClawPlotData.
Output: a modified version of plotdata.
"""
if plotdata is None:
from clawpack.visclaw.data import ClawPlotData
plotdata = ClawPlotData()
from clawpack.visclaw import colormaps, geoplot
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.format = "ascii" # Format of output
# plotdata.format = 'netcdf'
def set_drytol(current_data):
# The drytol parameter is used in masking land and water and
# affects what color map is used for cells with small water depth h.
# The cell will be plotted as dry if h < drytol.
# The best value to use often depends on the application and can
# be set here (measured in meters):
current_data.user["drytol"] = 1.0e-2
plotdata.beforeframe = set_drytol
# To plot gauge locations on pcolor or contour plot, use this as
# an afteraxis function:
def addgauges(current_data):
from clawpack.visclaw import gaugetools
gaugetools.plot_gauge_locations(current_data.plotdata, gaugenos="all", format_string="ko", add_labels=True)
# -----------------------------------------
# Figure for pcolor plot
# -----------------------------------------
plotfigure = plotdata.new_plotfigure(name="pcolor", figno=0)
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes("pcolor")
plotaxes.title = "Surface"
plotaxes.scaled = True
# Water
plotitem = plotaxes.new_plotitem(plot_type="2d_pcolor")
# plotitem.plot_var = geoplot.surface
plotitem.plot_var = geoplot.surface_or_depth
plotitem.pcolor_cmap = geoplot.tsunami_colormap
plotitem.pcolor_cmin = -0.9
plotitem.pcolor_cmax = 0.9
plotitem.add_colorbar = True
plotitem.amr_celledges_show = [1, 1, 0]
plotitem.amr_patchedges_show = [1]
# Land
plotitem = plotaxes.new_plotitem(plot_type="2d_pcolor")
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [1, 1, 0]
plotaxes.xlimits = [-100, 100]
plotaxes.ylimits = [-100, 100]
# -----------------------------------------
# Figure for zoom
# -----------------------------------------
plotfigure = plotdata.new_plotfigure(name="Zoom", figno=10)
# plotfigure.show = False
plotfigure.kwargs = {"figsize": [12, 7]}
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes("diag zoom")
plotaxes.axescmd = "axes([0.0,0.1,0.6,0.6])"
plotaxes.title = "On diagonal"
plotaxes.scaled = True
plotaxes.xlimits = [55, 66]
plotaxes.ylimits = [55, 66]
plotaxes.afteraxes = addgauges
# Water
plotitem = plotaxes.new_plotitem(plot_type="2d_pcolor")
# plotitem.plot_var = geoplot.surface
plotitem.plot_var = geoplot.surface_or_depth
plotitem.pcolor_cmap = geoplot.tsunami_colormap
plotitem.pcolor_cmin = -0.9
plotitem.pcolor_cmax = 0.9
plotitem.add_colorbar = True
plotitem.amr_celledges_show = [1, 1, 0]
plotitem.amr_patchedges_show = [1]
# Land
plotitem = plotaxes.new_plotitem(plot_type="2d_pcolor")
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [1, 1, 0]
# Add contour lines of bathymetry:
plotitem = plotaxes.new_plotitem(plot_type="2d_contour")
plotitem.plot_var = geoplot.topo
from numpy import arange, linspace
plotitem.contour_levels = arange(-10.0, 0.0, 1.0)
plotitem.amr_contour_colors = ["k"] # color on each level
plotitem.kwargs = {"linestyles": "solid"}
plotitem.amr_contour_show = [0, 0, 1] # show contours only on finest level
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
plotitem.show = True
# Add contour lines of topography:
plotitem = plotaxes.new_plotitem(plot_type="2d_contour")
plotitem.plot_var = geoplot.topo
from numpy import arange, linspace
plotitem.contour_levels = arange(0.0, 11.0, 1.0)
plotitem.amr_contour_colors = ["g"] # color on each level
plotitem.kwargs = {"linestyles": "solid"}
plotitem.amr_contour_show = [0, 0, 1] # show contours only on finest level
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
plotitem.show = True
# Add dashed contour line for shoreline
plotitem = plotaxes.new_plotitem(plot_type="2d_contour")
plotitem.plot_var = geoplot.topo
plotitem.contour_levels = [0.0]
plotitem.amr_contour_colors = ["k"] # color on each level
plotitem.kwargs = {"linestyles": "dashed"}
plotitem.amr_contour_show = [0, 0, 1] # show contours only on finest level
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
plotitem.show = True
# -----------------------------------------
# Figure for zoom near axis
# -----------------------------------------
# plotfigure = plotdata.new_plotfigure(name='Zoom2', figno=11)
# now included in same figure as zoom on diagonal
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes("x zoom")
plotaxes.show = True
plotaxes.axescmd = "axes([0.5,0.1,0.6,0.6])"
plotaxes.title = "On x-axis"
plotaxes.scaled = True
plotaxes.xlimits = [82, 93]
plotaxes.ylimits = [-5, 6]
plotaxes.afteraxes = addgauges
# Water
plotitem = plotaxes.new_plotitem(plot_type="2d_pcolor")
# plotitem.plot_var = geoplot.surface
plotitem.plot_var = geoplot.surface_or_depth
plotitem.pcolor_cmap = geoplot.tsunami_colormap
plotitem.pcolor_cmin = -0.9
plotitem.pcolor_cmax = 0.9
plotitem.add_colorbar = True
plotitem.amr_celledges_show = [1, 1, 0]
plotitem.amr_patchedges_show = [1]
# Land
plotitem = plotaxes.new_plotitem(plot_type="2d_pcolor")
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [1, 1, 0]
# Add contour lines of bathymetry:
plotitem = plotaxes.new_plotitem(plot_type="2d_contour")
plotitem.plot_var = geoplot.topo
from numpy import arange, linspace
plotitem.contour_levels = arange(-10.0, 0.0, 1.0)
plotitem.amr_contour_colors = ["k"] # color on each level
plotitem.kwargs = {"linestyles": "solid"}
plotitem.amr_contour_show = [0, 0, 1] # show contours only on finest level
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
plotitem.show = True
# Add contour lines of topography:
plotitem = plotaxes.new_plotitem(plot_type="2d_contour")
plotitem.plot_var = geoplot.topo
from numpy import arange, linspace
plotitem.contour_levels = arange(0.0, 11.0, 1.0)
plotitem.amr_contour_colors = ["g"] # color on each level
plotitem.kwargs = {"linestyles": "solid"}
plotitem.amr_contour_show = [0, 0, 1] # show contours only on finest level
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
plotitem.show = True
# Add dashed contour line for shoreline
plotitem = plotaxes.new_plotitem(plot_type="2d_contour")
plotitem.plot_var = geoplot.topo
plotitem.contour_levels = [0.0]
plotitem.amr_contour_colors = ["k"] # color on each level
plotitem.kwargs = {"linestyles": "dashed"}
plotitem.amr_contour_show = [0, 0, 1] # show contours only on finest level
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
plotitem.show = True
# -----------------------------------------
# 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 = [-2.0, 2.0]
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")
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
t = current_data.t
legend(("surface", "topography"), loc="lower left")
plot(t, 0 * t, "k")
plotaxes.afteraxes = add_zeroline
# -----------------------------------------
# Figure for patches alone
# -----------------------------------------
plotfigure = plotdata.new_plotfigure(name="patches", figno=2)
plotfigure.show = False
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = [0, 1]
plotaxes.ylimits = [0, 1]
plotaxes.title = "patches"
plotaxes.scaled = True
# Set up for item on these axes:
plotitem = plotaxes.new_plotitem(plot_type="2d_patch")
plotitem.amr_patch_bgcolor = ["#ffeeee", "#eeeeff", "#eeffee"]
plotitem.amr_celledges_show = [1, 1, 0]
plotitem.amr_patchedges_show = [1]
# -----------------------------------------
# Scatter plot of surface for radially symmetric
# -----------------------------------------
plotfigure = plotdata.new_plotfigure(name="Scatter", figno=200)
plotfigure.show = False
# Note: will not look very good unless more of domain is refined
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = [0.0, 100.0]
plotaxes.ylimits = [-1.5, 2.0]
plotaxes.title = "Scatter plot of surface"
# Set up for item on these axes:
plotitem = plotaxes.new_plotitem(plot_type="1d_from_2d_data")
plotitem.plot_var = geoplot.surface
def q_vs_radius(current_data):
from numpy import sqrt
x = current_data.x
y = current_data.y
r = sqrt(x ** 2 + y ** 2)
q = current_data.var
return r, q
plotitem.map_2d_to_1d = q_vs_radius
plotitem.plotstyle = "o"
plotitem.amr_color = ["b", "r", "g"]
plotaxes.afteraxes = "import pylab; pylab.legend(['Level 1','Level 2'])"
# -----------------------------------------
# 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 = [4, 5, 104, 105] # 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?
plotdata.parallel = True # make multiple frame png's at once
return plotdata
def setplot(plotdata=None):
#--------------------------
"""
Specify what is to be plotted at each frame.
Input: plotdata, an instance of pyclaw.plotters.data.ClawPlotData.
Output: a modified version of plotdata.
"""
from clawpack.visclaw import colormaps, geoplot
from numpy import linspace
if plotdata is None:
from clawpack.visclaw.data import ClawPlotData
plotdata = ClawPlotData()
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.format = 'binary'
def timeformat(t):
from numpy import mod
hours = int(t / 3600.)
tmin = mod(t, 3600.)
min = int(tmin / 60.)
sec = int(mod(tmin, 60.))
timestr = '%s:%s:%s' % (hours, str(min).zfill(2), str(sec).zfill(2))
return timestr
def title_hours(current_data):
from pylab import title
t = current_data.t
timestr = timeformat(t)
title('%s after earthquake' % timestr)
#-----------------------------------------
# Figure for surface
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Computational domain', figno=0)
plotfigure.kwargs = {'figsize': (8, 7)}
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes('pcolor')
plotaxes.title = 'Surface'
plotaxes.scaled = True
def aa(current_data):
from pylab import ticklabel_format, xticks, gca, cos, pi, savefig
gca().set_aspect(1.)
title_hours(current_data)
ticklabel_format(useOffset=False)
xticks(rotation=20)
plotaxes.afteraxes = aa
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
#plotitem.plot_var = geoplot.surface
plotitem.plot_var = geoplot.surface_or_depth
plotitem.pcolor_cmap = geoplot.tsunami_colormap
plotitem.pcolor_cmin = cmin
plotitem.pcolor_cmax = cmax
plotitem.add_colorbar = True
plotitem.colorbar_shrink = 0.7
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.amr_patchedges_show = [0, 0, 0, 0]
plotitem.amr_data_show = [1, 1, 1, 1, 1, 0, 0]
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = cmax_land
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0]
plotitem.amr_patchedges_show = [0, 0, 0, 0]
plotitem.amr_data_show = [1, 1, 1, 1, 1, 0, 0]
# add contour lines of bathy if desired:
plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
plotitem.show = False
plotitem.plot_var = geoplot.topo
plotitem.contour_levels = linspace(-3000, -3000, 1)
plotitem.amr_contour_colors = ['y'] # color on each level
plotitem.kwargs = {'linestyles': 'solid', 'linewidths': 2}
plotitem.amr_contour_show = [1, 0, 0]
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
#-----------------------------------------
# Figure for coastal area
#-----------------------------------------
x1, x2, y1, y2 = [-0.005, 0.016, -0.01, 0.01]
plotfigure = plotdata.new_plotfigure(name="coastal area", figno=11)
plotfigure.show = True
plotfigure.kwargs = {'figsize': (6, 7)}
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.scaled = False
plotaxes.xlimits = [x1, x2]
plotaxes.ylimits = [y1, y2]
def aa_withbox(current_data):
from pylab import plot
x1, x2, y1, y2 = (-0.009259, 0.013796, -0.005093, 0.005000)
if current_data.t > 5 * 60.:
plot([x1, x1, x2, x2, x1], [y1, y2, y2, y1, y1], 'w--')
aa(current_data)
plotaxes.afteraxes = aa_withbox
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.surface
#plotitem.plot_var = geoplot.surface_or_depth
plotitem.pcolor_cmap = geoplot.tsunami_colormap
plotitem.pcolor_cmin = cmin
plotitem.pcolor_cmax = cmax
plotitem.add_colorbar = True
plotitem.colorbar_shrink = 0.4
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.patchedges_show = 0
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = cmax_land
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0]
plotitem.patchedges_show = 0
# add contour lines of bathy if desired:
plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
#plotitem.show = False
plotitem.plot_var = geoplot.topo
plotitem.contour_levels = [-2, -1, 0, 1, 2]
plotitem.amr_contour_colors = ['yellow'] # color on each level
plotitem.kwargs = {'linestyles': 'solid', 'linewidths': 1}
plotitem.amr_contour_show = [0, 0, 1, 0]
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
# Plots of timing (CPU and wall time):
def make_timing_plots(plotdata):
import os
from clawpack.visclaw import plot_timing_stats
try:
timing_plotdir = plotdata.plotdir + '/_timing_figures'
os.system('mkdir -p %s' % timing_plotdir)
units = {
'comptime': 'minutes',
'simtime': 'minutes',
'cell': 'millions'
}
plot_timing_stats.make_plots(outdir=plotdata.outdir,
make_pngs=True,
plotdir=timing_plotdir,
units=units)
os.system('cp %s/timing.* %s' % (plotdata.outdir, timing_plotdir))
except:
print('*** Error making timing plots')
otherfigure = plotdata.new_otherfigure(name='timing',
fname='_timing_figures/timing.html')
otherfigure.makefig = make_timing_plots
#-----------------------------------------
# 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?
plotdata.parallel = True # make multiple frame png's at once
return plotdata
def setplot(plotdata=None):
#--------------------------
"""
Specify what is to be plotted at each frame.
Input: plotdata, an instance of pyclaw.plotters.data.ClawPlotData.
Output: a modified version of plotdata.
"""
from clawpack.visclaw import colormaps, geoplot
from numpy import linspace
if plotdata is None:
from clawpack.visclaw.data import ClawPlotData
plotdata = ClawPlotData()
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.format = 'ascii' # 'ascii', 'binary', 'netcdf'
# To plot gauge locations on pcolor or contour plot, use this as
# an afteraxis function:
def addgauges(current_data):
from clawpack.visclaw import gaugetools
gaugetools.plot_gauge_locations(current_data.plotdata, \
gaugenos='all', format_string='ko', add_labels=True)
# To add title with time format hours:minutes:seconds...
def title_hours(current_data):
from pylab import title, mod
t = current_data.t
hours = int(t / 3600.)
tmin = mod(t, 3600.)
min = int(tmin / 60.)
tsec = mod(tmin, 60.)
sec = int(mod(tmin, 60.))
timestr = '%s:%s:%s' % (hours, str(min).zfill(2), str(sec).zfill(2))
title('%s after earthquake' % timestr)
#-----------------------------------------
# Figure for surface
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Surface', figno=0)
plotfigure.kwargs = {'figsize': (12, 6)}
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes('pcolor')
plotaxes.axescmd = 'subplot(121)'
plotaxes.title = 'Surface'
plotaxes.scaled = True
def fixup(current_data):
addgauges(current_data)
title_hours(current_data)
plotaxes.afteraxes = fixup
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.surface_or_depth
plotitem.pcolor_cmap = geoplot.tsunami_colormap
plotitem.pcolor_cmin = -0.2
plotitem.pcolor_cmax = 0.2
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.patchedges_show = 1
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.patchedges_show = 0
plotaxes.xlimits = [-120, -60]
plotaxes.ylimits = [-60, 0]
# add contour lines of bathy if desired:
plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
plotitem.show = False
plotitem.plot_var = geoplot.topo
plotitem.contour_levels = linspace(-3000, -3000, 1)
plotitem.amr_contour_colors = ['y'] # color on each level
plotitem.kwargs = {'linestyles': 'solid', 'linewidths': 2}
plotitem.amr_contour_show = [1, 0, 0]
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
#-----------------------------------------
# Figure for adjoint flagging
#-----------------------------------------
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes('adjoint')
plotaxes.axescmd = 'subplot(122)'
plotaxes.scaled = True
plotaxes.title = 'Adjoint flag'
def fixup(current_data):
addgauges(current_data)
plotaxes.afteraxes = fixup
def masked_inner_product(current_data):
from numpy import ma
aux = current_data.aux
tol = 1e-15
soln = ma.masked_where(aux[3, :, :] < tol, aux[3, :, :])
return soln
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = masked_inner_product
plotitem.pcolor_cmap = colormaps.white_red
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 0.005
#plotitem.pcolor_cmax = 0.00001 # use for adjoint-error flagging
plotitem.add_colorbar = False # doesn't work when adjoint all masked
plotitem.colorbar_shrink = 0.75
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.amr_data_show = [1, 1,
0] # inner product not computed on finest level
plotitem.patchedges_show = 0
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.patchedges_show = 0
plotaxes.xlimits = [-120, -60]
plotaxes.ylimits = [-60, 0]
#-----------------------------------------
# Figures for gauges
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Surface at gauges', figno=300, \
type='each_gauge')
plotfigure.clf_each_gauge = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = 'auto'
plotaxes.ylimits = 'auto'
plotaxes.title = 'Surface'
# Plot surface as blue curve:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 3
plotitem.plotstyle = 'b-'
# 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, axis, xlabel
t = current_data.t
gaugeno = current_data.gaugeno
if gaugeno == 32412:
try:
plot(TG32412[:, 0], TG32412[:, 1], 'r')
legend(['GeoClaw', 'Obs'], loc='lower right')
except:
pass
axis((0, t.max(), -0.3, 0.3))
plot(t, 0 * t, 'k')
n = int(floor(t.max() / 3600.) + 2)
xticks([3600 * i for i in range(n)], ['%i' % i for i in range(n)])
xlabel('time (hours)')
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_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?
plotdata.parallel = True # make multiple frame png's at once
return plotdata
def setplot(plotdata=None):
#--------------------------
"""
Specify what is to be plotted at each frame.
Input: plotdata, an instance of pyclaw.plotters.data.ClawPlotData.
Output: a modified version of plotdata.
"""
if plotdata is None:
from clawpack.visclaw.data import ClawPlotData
plotdata = ClawPlotData()
from clawpack.visclaw import colormaps, geoplot
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.format = 'ascii' # Format of output
# plotdata.format = 'netcdf'
def set_drytol(current_data):
# The drytol parameter is used in masking land and water and
# affects what color map is used for cells with small water depth h.
# The cell will be plotted as dry if h < drytol.
# The best value to use often depends on the application and can
# be set here (measured in meters):
current_data.user['drytol'] = 1.e-2
plotdata.beforeframe = set_drytol
# To plot gauge locations on pcolor or contour plot, use this as
# an afteraxis function:
def addgauges(current_data):
from clawpack.visclaw import gaugetools
gaugetools.plot_gauge_locations(current_data.plotdata, \
gaugenos='all', format_string='ko', add_labels=True)
#-----------------------------------------
# Figure for pcolor plot
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='pcolor', figno=0)
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes('pcolor')
plotaxes.title = 'Surface'
plotaxes.scaled = True
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
#plotitem.plot_var = geoplot.surface
plotitem.plot_var = geoplot.surface_or_depth
plotitem.pcolor_cmap = colormaps.make_colormap({
1.0: 'r',
0.5: 'w',
0.0: 'b'
})
plotitem.pcolor_cmin = -0.3
plotitem.pcolor_cmax = 0.3
plotitem.add_colorbar = True
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 2.0
plotitem.add_colorbar = False
plotaxes.xlimits = [-1, 1]
plotaxes.ylimits = [-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 = [4, 5, 104, 105] # 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?
plotdata.parallel = True # make multiple frame png's at once
return plotdata
from pylab import *
from clawpack.visclaw.data import ClawPlotData
if 0:
gdata = loadtxt('gauges.data', skiprows=7)
ngauges = gdata.shape[0]
print "Found %s gauges" % ngauges
xc = gdata[:, 1]
yc = gdata[:, 2]
# Load ClawplotData
plotdata = ClawPlotData()
plotdata.format = 'binary'
plotdata.outdir = '_output'
def plot_gauges(goffset=0):
if goffset == 0:
ngauges = 100 # top surface
elif goffset == 200:
ngauges = 100 # bottom of domain
elif goffset == 300:
ngauges = 50 # above fault plane
elif goffset == 400:
ngauges = 50 # below fault plane
plot_okada = (goffset == 0)
figure()
#for t in linspace(0.,120,7):
def plot_all(values_to_plot,nb_test,nb_frames,format='ascii',msgfile='',**kargs):
# ============================
# = Create Initial Condition =
# ============================
# Construct output and plot directory paths
name = 'multilayer/dry_state_rarefaction_test'
prefix = 'ml_e%s_m%s_fix_m%s_vel' % (2, 500, values_to_plot[0])
prefix = "".join((prefix, "F"))
outdir,plotdir,log_path = runclaw.create_output_paths(name, prefix, **kargs)
script_dir = os.path.dirname(__file__)
plots_dir = os.path.join(script_dir, 'All_plots/')
if not os.path.isdir(plots_dir):
os.makedirs(plots_dir)
# Set physics data
global g
g=Solution(0, path=outdir,read_aux=True).state.problem_data['g']
global manning
manning=Solution(0, path=outdir,read_aux=True).state.problem_data['manning']
global rho_air
rho_air=Solution(0, path=outdir,read_aux=True).state.problem_data['rho_air']
global rho
rho=Solution(0, path=outdir,read_aux=True).state.problem_data['rho']
global r
r=Solution(0, path=outdir,read_aux=True).state.problem_data['r']
global one_minus_r
one_minus_r=Solution(0, path=outdir,read_aux=True).state.problem_data['one_minus_r']
global num_layers
num_layers=Solution(0, path=outdir,read_aux=True).state.problem_data['num_layers']
global b
b = Solution(0, path=outdir,read_aux=True).state.aux[bathy_index,:]
# Set method parameters, this ensures it gets to the Fortran routines
eigen_method=Solution(0, path=outdir,read_aux=True).state.problem_data['eigen_method']
dry_tolerance=Solution(0, path=outdir,read_aux=True).state.problem_data['dry_tolerance']
inundation_method=Solution(0, path=outdir,read_aux=True).state.problem_data['inundation_method']
entropy_fix=Solution(0, path=outdir,read_aux=True).state.problem_data['entropy_fix']
#num_cells=Solution(0,path=outdir,read_aux=True).state.problem_data['num_cells'] #does not work
num_cells=500
plt.clf()
# Load bathymetery
#b = Solution(0, path=outdir,read_aux=True).state.aux[bathy_index,:]
# Load gravitation
#g = Solution(0, path=outdir,read_aux=True).state.problem_data['g']
# Load one minus r
#one_minus_r=Solution(0, path=outdir,read_aux=True).state.problem_data['one_minus_r']
xlimits=[]
for t in range(nb_frames):
#Depths
plotdata=ClawPlotData()
plotfigure_depths = plotdata.new_plotfigure(name='Depths')
plotfigure_depths.show=True
plotaxes_depths = plotfigure_depths.new_plotaxes()
plotaxes_depths.title = "Depths"
plotaxes_depths.xlimits = xlimits
plotaxes_depths.ylimits = 'auto'
# fig2 = plt.figure(num=2)
# plt.xlabel('x(m)')
# plt.ylabel('Depths')
# plt.title('Solution at t = %3.5f' % t)
# plt.ylim(-1.1, 0.1)
#Entropy
fig7 = plt.figure(num=2)
plt.xlabel('x(m)')
plt.ylabel('Entropy')
plt.title('Entropy as t = %3.5f' % t)
#Composite Froude number
fig12 = plt.figure(num=12)
plt.xlabel('x(m)')
plt.ylabel('Composite Froude number')
plt.title('Composite Froude number at t = %3.5f' % t)
plotdata.outdir = outdir
plotdata.plotdir = plots_dir
print(plotdir)
Solutions_=[]
x = [k/1000 for k in range(0,1000,2)]
print('Plot the figures at frame %s' % t)
for i in range(nb_test):
# Construct output and plot directory paths
name = 'multilayer/dry_state_rarefaction_test'
prefix = 'ml_e%s_m%s_fix_m%s_vel' % (eigen_method, num_cells, values_to_plot[i])
if entropy_fix:
prefix = "".join((prefix, "T"))
else:
prefix = "".join((prefix, "F"))
outdir,plotdir,log_path = runclaw.create_output_paths(name, prefix, **kargs)
#exec("cd_"+str(i)+"='"Solution(t,path=outdir,read_aux=True)+"'")
cd = Solution(t,path=outdir,read_aux=True)
Solutions_ += [Solution(t,path=outdir,read_aux=True)]
#=====Plotting=====
plot_color='g'
plot_style='-'
if values_to_plot[i] >= 3.9 :
if values_to_plot[i] >= 8.0 :
plot_color = 'r'
plot_style = ':'
else :
plot_color = 'b'
plot_style = '-.'
#depth
#plotdata.setplot = setplot
plotdata.format = format
plotdata.msgfile = msgfile
plotitem_depths = plotaxes_depths.new_plotitem(plot_type='1d')
plotitem_depths.plot_var = eta_1
plotitem_depths.plotstyle='k'
plotitem_depths.color=plot_color
plotitem_depths.show=True
# plt.figure(num=2)
# plt.plot(bathy(cd),'k')
# plt.plot(eta_1(cd),'k',color=plot_color,linestyle=plot_style)
# plt.plot(eta_2(cd),'k',color=plot_color,linestyle=plot_style)
# depthname = 'frame00%sfig1002.png' % t
# plt.savefig(plots_dir + depthname)
#plt.close()
#Entropy
# plt.figure(num=7)
# plt.plot(entropy(cd),'k',color=plot_color,linestyle=plot_style)
# entropyname = 'frame00%sfig1007.png' % t
# plt.savefig(plots_dir + entropyname)
#
# #Composite Froude number
# plt.figure(num=12)
# plt.plot(composite_Froude_nb(cd),'k',color=plot_color,linestyle=plot_style)
# froudename = 'frame00%sfig1012.png' % ( t )
# plt.savefig(plots_dir + froudename)
#plt.close()
plt.close('all')
def plotclaw(outdir='.',
plotdir='_plots',
setplot='setplot.py',
format='ascii',
msgfile='',
frames=None,
verbose=False):
"""
Create html and/or latex versions of plots.
INPUT:
setplot is a module containing a function setplot that will be called
to set various plotting parameters.
format specifies the format of the files output from Clawpack
"""
from clawpack.visclaw.data import ClawPlotData
from clawpack.visclaw import plotpages
plotdata = ClawPlotData()
plotdata.outdir = outdir
plotdata.plotdir = plotdir
plotdata.setplot = setplot
plotdata.format = format
plotdata.msgfile = msgfile
frametools.call_setplot(plotdata.setplot, plotdata)
if plotdata.num_procs is None:
plotdata.num_procs = int(os.environ.get("OMP_NUM_THREADS", 1))
# Make sure plotdata.parallel is False in some cases:
if plotdata.parallel:
assert type(setplot) in [str, bool, type(None)], \
"*** Parallel plotting is not supported when ClawPlotData " \
+ "attribute setplot is a function."
if plotdata.parallel and (plotdata.num_procs > 1):
# If this is the original call then we need to split up the work and
# call this function again
# First set up plotdir:
plotdata._parallel_todo = 'initialize'
plotpages.plotclaw_driver(plotdata, verbose=False, format=format)
if frames is None:
if plotdata.num_procs is None:
plotdata.num_procs = int(os.environ.get("OMP_NUM_THREADS", 1))
frames = [[] for n in range(plotdata.num_procs)]
framenos = frametools.only_most_recent(plotdata.print_framenos,
outdir)
# don't use more procs than frames or infinite loop!!
num_procs = min(plotdata.num_procs, len(framenos))
for (n, frame) in enumerate(framenos):
frames[n % num_procs].append(frame)
# Create subprocesses to work on each
plotclaw_cmd = "python %s" % __file__
process_queue = []
for n in range(num_procs):
plot_cmd = "%s %s %s %s" % (plotclaw_cmd, outdir, plotdir,
setplot)
plot_cmd = plot_cmd + " " + " ".join(
[str(i) for i in frames[n]])
process_queue.append(subprocess.Popen(plot_cmd, shell=True))
poll_interval = 5
try:
while len(process_queue) > 0:
time.sleep(poll_interval)
for process in process_queue:
if process.poll() is not None:
process_queue.remove(process)
if verbose:
print("Number of processes currently:",
len(process_queue))
# Stop child processes if interrupt was caught or something went
# wrong
except KeyboardInterrupt:
print("ABORTING: A keyboard interrupt was caught. All " + \
"child processes will be terminated as well.")
for process in process_queue:
process.terminate()
raise
except:
print("ERROR: An error occurred while waiting for " + \
"plotting processes to complete. Aborting all " + \
"child processes.")
for process in process_queue:
process.terminate()
raise
# After all frames have been plotted via recursive calls,
# make index and gauge plots only:
plotdata._parallel_todo = 'finalize'
plotpages.plotclaw_driver(plotdata, verbose=False, format=format)
else:
# make frame plots only:
plotdata._parallel_todo = 'frames'
plotdata.print_framenos = frames
plotpages.plotclaw_driver(plotdata, verbose=False, format=format)
else:
# not in parallel:
plotdata._parallel_todo = None
plotpages.plotclaw_driver(plotdata, verbose=False, format=format)
def plotclaw(outdir='.', plotdir='_plots', setplot = 'setplot.py',
format='ascii', msgfile='', frames=None, verbose=False):
"""
Create html and/or latex versions of plots.
INPUT:
setplot is a module containing a function setplot that will be called
to set various plotting parameters.
format specifies the format of the files output from Clawpack
"""
from clawpack.visclaw.data import ClawPlotData
from clawpack.visclaw import plotpages
plotdata = ClawPlotData()
plotdata.outdir = outdir
plotdata.plotdir = plotdir
plotdata.setplot = setplot
plotdata.format = format
plotdata.msgfile = msgfile
frametools.call_setplot(plotdata.setplot, plotdata)
if plotdata.num_procs is None:
plotdata.num_procs = int(os.environ.get("OMP_NUM_THREADS", 1))
# Make sure plotdata.parallel is False in some cases:
if plotdata.parallel:
assert type(setplot) in [str, bool, type(None)], \
"*** Parallel plotting is not supported when ClawPlotData " \
+ "attribute setplot is a function."
if plotdata.parallel and (plotdata.num_procs > 1):
# If this is the original call then we need to split up the work and
# call this function again
# First set up plotdir:
plotdata._parallel_todo = 'initialize'
plotpages.plotclaw_driver(plotdata, verbose=False, format=format)
if frames is None:
if plotdata.num_procs is None:
plotdata.num_procs = int(os.environ.get("OMP_NUM_THREADS", 1))
frames = [[] for n in xrange(plotdata.num_procs)]
framenos = frametools.only_most_recent(plotdata.print_framenos,
outdir)
# don't use more procs than frames or infinite loop!!
num_procs = min(plotdata.num_procs, len(framenos))
for (n, frame) in enumerate(framenos):
frames[n%num_procs].append(frame)
# Create subprocesses to work on each
plotclaw_cmd = "python %s" % __file__
process_queue = []
for n in xrange(num_procs):
plot_cmd = "%s %s %s %s" % (plotclaw_cmd,
outdir,
plotdir,
setplot)
plot_cmd = plot_cmd + " " + " ".join([str(i) for i in frames[n]])
process_queue.append(subprocess.Popen(plot_cmd, shell=True))
poll_interval = 5
try:
while len(process_queue) > 0:
time.sleep(poll_interval)
for process in process_queue:
if process.poll() is not None:
process_queue.remove(process)
if verbose:
print "Number of processes currently:",len(process_queue)
# Stop child processes if interrupt was caught or something went
# wrong
except KeyboardInterrupt:
print "ABORTING: A keyboard interrupt was caught. All " + \
"child processes will be terminated as well."
for process in process_queue:
process.terminate()
raise
except:
print "ERROR: An error occurred while waiting for " + \
"plotting processes to complete. Aborting all " + \
"child processes."
for process in process_queue:
process.terminate()
raise
# After all frames have been plotted via recursive calls,
# make index and gauge plots only:
plotdata._parallel_todo = 'finalize'
plotpages.plotclaw_driver(plotdata, verbose=False, format=format)
else:
# make frame plots only:
plotdata._parallel_todo = 'frames'
plotdata.print_framenos = frames
plotpages.plotclaw_driver(plotdata, verbose=False, format=format)
else:
# not in parallel:
plotdata._parallel_todo = None
plotpages.plotclaw_driver(plotdata, verbose=False, format=format)
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
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": 5})
# Color limits
surface_limits = [-5.0, 5.0]
speed_limits = [0.0, 3.0]
wind_limits = [0, 100]
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 = {
"Atlantic": {
"xlimits": (clawdata.lower[0], clawdata.upper[0]),
"ylimits": (clawdata.lower[1], clawdata.upper[1]),
"figsize": (6.4, 4.8)
},
"United Kingdom": {
"xlimits": (-10.5, 0),
"ylimits": (51.5, 60.0),
"figsize": (8, 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)
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 = [-2, 2]
# plotaxes.xlabel = "Days from landfall"
# plotaxes.ylabel = "Surface (m)"
plotaxes.ylimits = [-.25, .75]
plotaxes.title = 'Surface'
# -------- Failed attempt at comparing data on Clawpack ----------
#def get_actual_water_levels(gaugeno):
# heights = open("surge_"+str(gaugeno)+".txt", "r")
# surge = []
# for height in heights:
# line = height.strip()
# line = line.split(",")
# line = float(line[0])
# surge.append(line)
#
# t = np.arange(-172800, 172800, 3600, dtype='float')
#
# return t, surge
def gauge_afteraxes(cd):
axes = plt.gca()
surgeplot.plot_landfall_gauge(cd.gaugesoln, axes)
#t, surge = get_actual_water_levels(cd.gaugeno)
#axes.plot(t, surge, color="g", label="Observed")
# 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, 2])
axes.set_ylim([-.25, .75])
axes.set_xticks([-2, -1, 0, 1, 2])
axes.set_xticklabels([r"$-2$", r"$-1$", r"$0$", r"$1$", r"$2$"])
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
#
# --------- For only one plot for location of all four gauges, uncomment -------
# 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 = [-7.0, -4.8]
# plotaxes.ylimits = [55.0, 58.2]
# 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
# individual gauge plots
def gauge_1_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=[1],
format_string='ko',
add_labels=True)
def gauge_2_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=[2],
format_string='ko',
add_labels=True)
def gauge_3_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=[3],
format_string='ko',
add_labels=True)
def gauge_4_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=[4],
format_string='ko',
add_labels=True)
plotfigure = plotdata.new_plotfigure(name="Gauge 1")
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Gauge 1'
plotaxes.scaled = True
plotaxes.xlimits = [-7.0, -6.0]
plotaxes.ylimits = [55.0, 56.0]
plotaxes.afteraxes = gauge_1_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
plotfigure = plotdata.new_plotfigure(name="Gauge 2")
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Gauge 2'
plotaxes.scaled = True
plotaxes.xlimits = [-6.5, -5.5]
plotaxes.ylimits = [56.0, 57.0]
plotaxes.afteraxes = gauge_2_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
plotfigure = plotdata.new_plotfigure(name="Gauge 3")
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Gauge 3'
plotaxes.scaled = True
plotaxes.xlimits = [-6.0, -5.0]
plotaxes.ylimits = [57.5, 58.5]
plotaxes.afteraxes = gauge_3_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
plotfigure = plotdata.new_plotfigure(name="Gauge 4")
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Gauge 4'
plotaxes.scaled = True
plotaxes.xlimits = [-6.0, -5.0]
plotaxes.ylimits = [58.0, 59.0]
plotaxes.afteraxes = gauge_4_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]
color_limits = [0, 20]
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)},
"Bahamas": {"xlimits": (-81, -75),
"ylimits": (23.0, 26.0),
"figsize": (8, 4)},
"Haiti": {"xlimits": (-73, -71),
"ylimits": (18.0, 20.0),
"figsize": (4, 4)},
"Cuba": {"xlimits": (-80, -75),
"ylimits": (15.0, 25.0),
"figsize": (4 ,8)},
"Florida": {"xlimits": (-82, -79),
"ylimits": (23.0, 26.0),
"figsize": (4 ,4)}}
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['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, 5]
# plotaxes.xlabel = "Days from landfall"
# plotaxes.ylabel = "Surface (m)"
plotaxes.ylimits = [-2, 3]
plotaxes.title = 'Surface'
try:
# comparison water level files
gauges = [np.loadtxt('gauge_data_1.txt'), np.loadtxt('gauge_data_2.txt'),
np.loadtxt('gauge_data_3.txt'), np.loadtxt('gauge_data_4.txt')]
# origin of comparison data (for legend)
data_names = ["Difference in Water level of Virginia Key, Biscanay Bay, Florida from NOAA",
"Difference in Water level of Key West, Florida from NOAA",
"Difference in Water level of Mona Island, Puerto Rico from NOAA",
"Difference in Water level of Magueyes Island, Puerto Rico from NOAA",
"Flood Height of Rum Cay, the Bahamas from local newspaper, Bahamas Press",
"Flood Height of Cat Island, the Bahamas from local newspaper, The Tribune"]
except:
pass
def gauge_afteraxes(cd):
axes = plt.gca()
surgeplot.plot_landfall_gauge(cd.gaugesoln, axes)
# Fix up plot - in particular fix time labels
# axes.legend()
axes.set_title('Station %s' % cd.gaugeno)
axes.set_xlabel('Days relative to landfall')
axes.set_ylabel('Surface (m)')
axes.set_xlim([-3, 5])
axes.set_ylim([-2, 3])
axes.set_xticks([-3, -2, -1, 0, 1, 2, 3, 4, 5])
axes.set_xticklabels([r"$-3$", r"$-2$", r"$-1$", r"$0$", r"$1$", r"$2$", r"$3$", r"$4$", r"$5$"])
axes.grid(True)
try:
# gauge 5 and 6 are in the Bahamas, and there's no water level data,
# comparison data is estimate flood heights from newspapers
if(cd.gaugeno == 5 or cd.gaugeno == 6):
if(cd.gaugeno == 5):
axes.axhline(y=4*0.3040, color = 'r', label = data_names[4]) # flood height was 4 feet
else:
axes.axhline(y=5*0.3040, color = 'r', label = data_names[5]) # flood height was 5 feet
# the rest have NOAA water level files
else:
# read water level data
gauge_data = gauges[cd.gaugeno - 1]
axes.plot(gauge_data[:, 1], gauge_data[:, 0], label = data_names[cd.gaugeno - 1])
axes.legend()
except:
pass
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 = [-82, -64]
plotaxes.ylimits = [16.0, 27.0]
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, 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):
#--------------------------
r"""Setplot function for surge plotting"""
if plotdata is None:
from clawpack.visclaw.data import ClawPlotData
plotdata = ClawPlotData()
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.format = 'binary'
fig_num_counter = surgeplot.figure_counter()
# Load data from output
clawdata = clawutil.ClawInputData(2)
clawdata.read(os.path.join(plotdata.outdir, 'claw.data'))
amrdata = amrclaw.AmrclawInputData(clawdata)
amrdata.read(os.path.join(plotdata.outdir, 'amr.data'))
physics = geodata.GeoClawData()
physics.read(os.path.join(plotdata.outdir, 'geoclaw.data'))
surge_data = geodata.SurgeData()
surge_data.read(os.path.join(plotdata.outdir, 'surge.data'))
friction_data = geodata.FrictionData()
friction_data.read(os.path.join(plotdata.outdir, 'friction.data'))
# Load storm track
track = surgeplot.track_data(os.path.join(plotdata.outdir, 'fort.track'))
# Calculate landfall time, off by a day, maybe leap year issue?
landfall_dt = datetime.datetime(2008, 9, 13, 7) - datetime.datetime(
2008, 1, 1, 0)
landfall = (landfall_dt.days - 1.0) * 24.0 * 60**2 + landfall_dt.seconds
# Set afteraxes function
surge_afteraxes = lambda cd: surgeplot.surge_afteraxes(
cd, track, landfall, plot_direction=False)
# Color limits
surface_range = 5.0
speed_range = 3.0
eta = physics.sea_level
if not isinstance(eta, list):
eta = [eta]
surface_limits = [eta[0] - surface_range, eta[0] + surface_range]
# surface_contours = numpy.linspace(-surface_range, surface_range,11)
surface_contours = [
-5, -4.5, -4, -3.5, -3, -2.5, -2, -1.5, -1, -0.5, 0.5, 1, 1.5, 2, 2.5,
3, 3.5, 4, 4.5, 5
]
surface_ticks = [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5]
surface_labels = [str(value) for value in surface_ticks]
speed_limits = [0.0, speed_range]
speed_contours = numpy.linspace(0.0, speed_range, 13)
speed_ticks = [0, 1, 2, 3]
speed_labels = [str(value) for value in speed_ticks]
wind_limits = [0, 64]
# wind_limits = [-0.002,0.002]
pressure_limits = [935, 1013]
friction_bounds = [0.01, 0.04]
# vorticity_limits = [-1.e-2,1.e-2]
# def pcolor_afteraxes(current_data):
# surge_afteraxes(current_data)
# surge.plot.gauge_locations(current_data,gaugenos=[6])
def contour_afteraxes(current_data):
surge_afteraxes(current_data)
def add_custom_colorbar_ticks_to_axes(axes,
item_name,
ticks,
tick_labels=None):
axes.plotitem_dict[item_name].colorbar_ticks = ticks
axes.plotitem_dict[item_name].colorbar_tick_labels = tick_labels
# ==========================================================================
# ==========================================================================
# Plot specifications
# ==========================================================================
# ==========================================================================
# ========================================================================
# Entire Gulf
# ========================================================================
gulf_xlimits = [clawdata.lower[0], clawdata.upper[0]]
gulf_ylimits = [clawdata.lower[1], clawdata.upper[1]]
gulf_shrink = 0.9
def gulf_after_axes(cd):
plt.subplots_adjust(left=0.08, bottom=0.04, right=0.97, top=0.96)
surge_afteraxes(cd)
#
# Surface
#
plotfigure = plotdata.new_plotfigure(name='Surface - Entire Domain',
figno=fig_num_counter.get_counter())
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Surface'
plotaxes.scaled = True
plotaxes.xlimits = gulf_xlimits
plotaxes.ylimits = gulf_ylimits
plotaxes.afteraxes = gulf_after_axes
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?
plotdata.parallel = True # make multiple frame png's at once
return plotdata
def setplot(plotdata=None):
#--------------------------
"""
Specify what is to be plotted at each frame.
Input: plotdata, an instance of pyclaw.plotters.data.ClawPlotData.
Output: a modified version of plotdata.
"""
from clawpack.visclaw import colormaps, geoplot
from numpy import linspace
if plotdata is None:
from clawpack.visclaw.data import ClawPlotData
plotdata = ClawPlotData()
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.format = 'binary'
# To plot gauge locations on pcolor or contour plot, use this as
# an afteraxis function:
def addgauges(current_data):
from clawpack.visclaw import gaugetools
gaugetools.plot_gauge_locations(current_data.plotdata, \
gaugenos='all', format_string='ko', add_labels=True)
def title_hours(current_data):
from pylab import title, mod
t = current_data.t
hours = int(t/3600.)
tmin = mod(t,3600.)
min = int(tmin/60.)
tsec = mod(tmin,60.)
sec = int(mod(tmin,60.))
if t < 120:
timestr = '%s seconds' % t
else:
timestr = '%s:%s:%s' % (hours,str(min).zfill(2),str(sec).zfill(2))
title('%s after earthquake' % timestr)
#-----------------------------------------
# Figure for surface
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Surface', figno=0)
plotfigure.kwargs = {'figsize':(8,5)}
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes('pcolor')
plotaxes.title = 'Surface'
plotaxes.scaled = True
def fixup(current_data):
import pylab
addgauges(current_data)
t = current_data.t
t = t / 3600. # hours
pylab.title('Surface at %4.2f hours' % t, fontsize=20)
pylab.grid(True)
plotaxes.afteraxes = fixup
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
#plotitem.plot_var = geoplot.surface
plotitem.plot_var = geoplot.surface_or_depth
plotitem.pcolor_cmap = colormaps.red_white_blue #geoplot.tsunami_colormap
plotitem.pcolor_cmin = -0.03
plotitem.pcolor_cmax = 0.03
plotitem.add_colorbar = False
plotitem.colorbar_shrink = 0.5
plotitem.amr_celledges_show = [0,0,0]
plotitem.patchedges_show = 0
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0,0,0]
plotitem.patchedges_show = 0
plotaxes.xlimits = [-240,-66]
plotaxes.ylimits = [-47,65]
#-----------------------------------------
# Figure for adjoint
#-----------------------------------------
# Set up for axes in this figure:
plotfigure = plotdata.new_plotfigure(name='Adjoint ', figno=20)
plotfigure.kwargs = {'figsize': (8,5)}
plotaxes = plotfigure.new_plotaxes('adjoint')
plotaxes.scaled = True
plotaxes.title = 'Adjoint flag'
def fixup(current_data):
addgauges(current_data)
plotaxes.afteraxes = fixup
adj_flag_tol = 0.000001
def masked_inner_product(current_data):
from numpy import ma
q = current_data.q
soln = ma.masked_where(q[4,:,:] < adj_flag_tol, q[4,:,:])
return soln
def masked_regions(current_data):
from numpy import ma
q = current_data.q
soln = ma.masked_where(q[4,:,:] < 1e9, q[4,:,:])
return soln
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = 4 #masked_inner_product
plotitem.pcolor_cmap = colormaps.white_red
plotitem.pcolor_cmin = adj_flag_tol
plotitem.pcolor_cmax = 100*adj_flag_tol
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0]
plotitem.amr_data_show = [1,1,0,0,0,0,0,0,0]
plotitem.patchedges_show = 0
#plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
#plotitem.plot_var = masked_regions
#plotitem.pcolor_cmap = colormaps.white_blue
#plotitem.pcolor_cmin = 9e9
#plotitem.pcolor_cmax = 1.1e10
#plotitem.add_colorbar = False
#plotitem.amr_celledges_show = [0]
#plotitem.amr_data_show = [1,1,0,0]
#plotitem.patchedges_show = 0
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0,0,0]
plotitem.patchedges_show = 0
plotaxes.xlimits = [-240,-66]
plotaxes.ylimits = [-47,65]
#-----------------------------------------
# Figure for levels
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Grid patches', figno=10)
plotfigure.kwargs = {'figsize': (8,5)}
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Grid patches'
plotaxes.scaled = True
def aa_patches(current_data):
from pylab import ticklabel_format, xticks, gca, cos, pi, yticks
ticklabel_format(format='plain',useOffset=False)
xticks([180, 200, 220, 240], rotation=20, fontsize = 28)
yticks(fontsize = 28)
a = gca()
a.set_aspect(1./cos(41.75*pi/180.))
def fixup(current_data):
import pylab
addgauges(current_data)
t = current_data.t
t = t / 3600. # hours
pylab.title('Grid patches at %4.2f hours' % t, fontsize=20)
pylab.grid(True)
plotaxes.afteraxes = fixup
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_patch')
plotitem.amr_patch_bgcolor = [[1,1,1], [0.8,0.8,0.8], [0.8,1,0.8], [1,.7,.7],[0.6,0.6,1]]
plotitem.amr_patchedges_color = ['k','k','g','r','b']
plotitem.amr_celledges_show = [0]
plotitem.amr_patchedges_show = [0,1,1,1,1]
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0]
plotitem.amr_patchedges_show = [0]
plotaxes.xlimits = [-240,-66]
plotaxes.ylimits = [-47,65]
#-----------------------------------------
# Zoom
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Crescent City Agrid', figno=1)
#plotfigure.show = False
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes('pcolor')
plotaxes.title = 'Surface'
plotaxes.scaled = True
plotaxes.afteraxes = fixup
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
#plotitem.plot_var = geoplot.surface
plotitem.plot_var = geoplot.surface_or_depth
plotitem.pcolor_cmap = geoplot.tsunami_colormap
plotitem.pcolor_cmin = -0.1
plotitem.pcolor_cmax = 0.1
plotitem.add_colorbar = True
plotitem.colorbar_shrink = 0.5
plotitem.amr_celledges_show = [0,0,0]
plotitem.patchedges_show = 0
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0,0,0]
plotitem.patchedges_show = 0
#plotaxes.xlimits = [-161.,-154.0333]
#plotaxes.ylimits = [18.0317,22.9983]
plotaxes.xlimits = [-126.995,-123.535]
plotaxes.ylimits = [40.515,44.495]
#-----------------------------------------
# Zoom2
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Crescent City Zoom', figno=2)
#plotfigure.show = False
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes('pcolor')
plotaxes.title = 'Surface'
plotaxes.scaled = True
plotaxes.afteraxes = fixup
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
#plotitem.plot_var = geoplot.surface
plotitem.plot_var = geoplot.surface_or_depth
plotitem.pcolor_cmap = geoplot.tsunami_colormap
plotitem.pcolor_cmin = -0.1
plotitem.pcolor_cmax = 0.1
plotitem.add_colorbar = True
plotitem.colorbar_shrink = 0.5
plotitem.amr_celledges_show = [0,0,0]
plotitem.patchedges_show = 0
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0,0,0]
plotitem.patchedges_show = 0
plotaxes.xlimits = [-124.2345,-124.1434]
plotaxes.ylimits = [41.7168,41.7829]
#-----------------------------------------
# Figures for gauges
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Surface at gauges', figno=300, \
type='each_gauge')
plotfigure.clf_each_gauge = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = 'auto'
plotaxes.ylimits = 'auto'
plotaxes.title = 'Surface'
# Plot surface as blue curve:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 3
plotitem.plotstyle = 'b-'
# 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, axis, xlabel, \
xlim, ylim
t = current_data.t
gaugeno = current_data.gaugeno
plot(t, 0*t, 'k')
n = int(floor(t.max()/3600.) + 2)
xticks([3600*i for i in range(n)], ['%i' % i for i in range(n)])
xlabel('time (hours)')
xlim(14.5*3600,26.0*3600)
ylim(-1.5,1.5)
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_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?
plotdata.parallel = True # make multiple frame png's at once
return plotdata
def setplot(plotdata=None):
#--------------------------
"""
Specify what is to be plotted at each frame.
Input: plotdata, an instance of clawpack.visclaw.data.ClawPlotData.
Output: a modified version of plotdata.
"""
if plotdata is None:
from clawpack.visclaw.data import ClawPlotData
plotdata = ClawPlotData()
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.format = 'binary' # 'ascii', 'binary', 'netcdf'
def draw_interface_add_legend(current_data):
from pylab import plot
plot([0., 0.], [-1000., 1000.], 'k--')
try:
from clawpack.visclaw import legend_tools
labels = ['Level 1','Level 2', 'Level 3']
legend_tools.add_legend(labels, colors=['g','b','r'],
markers=['^','s','o'], linestyles=['','',''],
loc='upper left')
except:
pass
# Figure for q[0]
plotfigure = plotdata.new_plotfigure(name='Adjoint and Velocity', figno=1)
plotfigure.kwargs = {'figsize': (8,8)}
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.axescmd = 'subplot(2,1,1)' # top figure
plotaxes.xlimits = 'auto'
plotaxes.ylimits = [-.5,1.1]
plotaxes.title = 'Adjoint'
plotaxes.afteraxes = draw_interface_add_legend
# Set up for item on these axes:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 0
plotitem.amr_color = ['g','b','r']
plotitem.amr_plotstyle = ['^-','s-','o-']
plotitem.amr_data_show = [1,1,1]
plotitem.amr_kwargs = [{'markersize':5},{'markersize':4},{'markersize':3}]
# Figure for q[1]
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.axescmd = 'subplot(2,1,2)' # bottom figure
plotaxes.xlimits = 'auto'
plotaxes.ylimits = [-.5,1.1]
plotaxes.title = 'Velocity'
plotaxes.afteraxes = draw_interface_add_legend
# Set up for item on these axes:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 1
plotitem.amr_color = ['g','b','r']
plotitem.amr_plotstyle = ['^-','s-','o-']
plotitem.amr_data_show = [1,1,1]
plotitem.amr_kwargs = [{'markersize':5},{'markersize':4},{'markersize':3}]
#-----------------------------------------
# Figures for gauges
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='q', figno=300, \
type='each_gauge')
plotfigure.clf_each_gauge = True
plotfigure.kwargs = {'figsize': (10,10)}
plotaxes = plotfigure.new_plotaxes()
plotaxes.axescmd = 'subplot(211)'
plotaxes.xlimits = 'auto'
plotaxes.ylimits = 'auto'
plotaxes.title = 'Pressure'
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 0
plotitem.plotstyle = 'b-'
plotaxes = plotfigure.new_plotaxes()
plotaxes.axescmd = 'subplot(212)'
plotaxes.xlimits = 'auto'
plotaxes.ylimits = 'auto'
plotaxes.title = 'Velocity'
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 1
plotitem.plotstyle = 'b-'
# Parameters used only when creating html and/or latex hardcopy
# e.g., via clawpack.visclaw.frametools.printframes:
plotdata.printfigs = True # print figures
plotdata.print_format = 'png' # file format
plotdata.print_framenos = 'all' # list of frames to print
plotdata.print_fignos = 'all' # list of figures to print
plotdata.html = True # create html files of plots?
plotdata.html_homelink = '../README.html'
plotdata.latex = True # create latex file of plots?
plotdata.latex_figsperline = 2 # layout of plots
plotdata.latex_framesperline = 1 # layout of plots
plotdata.latex_makepdf = False # also run pdflatex?
return plotdata
def setplot(plotdata=None):
#--------------------------
"""
Specify what is to be plotted at each frame.
Input: plotdata, an instance of pyclaw.plotters.data.ClawPlotData.
Output: a modified version of plotdata.
"""
if plotdata is None:
from clawpack.visclaw.data import ClawPlotData
plotdata = ClawPlotData()
from clawpack.visclaw import colormaps, geoplot
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.format = 'ascii' # Format of output
# plotdata.format = 'netcdf'
def set_drytol(current_data):
# The drytol parameter is used in masking land and water and
# affects what color map is used for cells with small water depth h.
# The cell will be plotted as dry if h < drytol.
# The best value to use often depends on the application and can
# be set here (measured in meters):
current_data.user['drytol'] = 1.e-2
plotdata.beforeframe = set_drytol
#-----------------------------------------
# Figure for pcolor plot
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='pcolor', figno=0)
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes('pcolor')
plotaxes.title = 'Surface'
plotaxes.scaled = True
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
#plotitem.plot_var = geoplot.surface
plotitem.plot_var = geoplot.surface_or_depth
plotitem.pcolor_cmap = geoplot.tsunami_colormap
plotitem.pcolor_cmin = -0.9
plotitem.pcolor_cmax = 0.9
plotitem.add_colorbar = True
plotitem.amr_celledges_show = [1, 1, 0]
plotitem.amr_patchedges_show = [1]
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [1, 1, 0]
plotaxes.xlimits = [-100, 100]
plotaxes.ylimits = [-100, 100]
#-----------------------------------------
# Figure for zoom
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Zoom', figno=10)
#plotfigure.show = False
plotfigure.kwargs = {'figsize': [12, 7]}
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes('diag zoom')
plotaxes.axescmd = 'axes([0.0,0.1,0.6,0.6])'
plotaxes.title = 'On diagonal'
plotaxes.scaled = True
plotaxes.xlimits = [55, 66]
plotaxes.ylimits = [55, 66]
def addgauges(current_data):
from clawpack.visclaw import gaugetools
gaugenos = range(101, 110) # on diagonal
gaugetools.plot_gauge_locations(current_data.plotdata, \
gaugenos=gaugenos, format_string='ko', add_labels=True)
plotaxes.afteraxes = addgauges
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
#plotitem.plot_var = geoplot.surface
plotitem.plot_var = geoplot.surface_or_depth
plotitem.pcolor_cmap = geoplot.tsunami_colormap
plotitem.pcolor_cmin = -0.9
plotitem.pcolor_cmax = 0.9
plotitem.add_colorbar = True
plotitem.amr_celledges_show = [1, 1, 0]
plotitem.amr_patchedges_show = [1]
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [1, 1, 0]
# Add contour lines of bathymetry:
plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
plotitem.plot_var = geoplot.topo
from numpy import arange, linspace
plotitem.contour_levels = arange(-10., 0., 1.)
plotitem.amr_contour_colors = ['k'] # color on each level
plotitem.kwargs = {'linestyles': 'solid'}
plotitem.amr_contour_show = [0, 0, 1] # show contours only on finest level
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
plotitem.show = True
# Add contour lines of topography:
plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
plotitem.plot_var = geoplot.topo
from numpy import arange, linspace
plotitem.contour_levels = arange(0., 11., 1.)
plotitem.amr_contour_colors = ['g'] # color on each level
plotitem.kwargs = {'linestyles': 'solid'}
plotitem.amr_contour_show = [0, 0, 1] # show contours only on finest level
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
plotitem.show = True
# Add dashed contour line for shoreline
plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
plotitem.plot_var = geoplot.topo
plotitem.contour_levels = [0.]
plotitem.amr_contour_colors = ['k'] # color on each level
plotitem.kwargs = {'linestyles': 'dashed'}
plotitem.amr_contour_show = [0, 0, 1] # show contours only on finest level
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
plotitem.show = True
#-----------------------------------------
# Figure for zoom near axis
#-----------------------------------------
#plotfigure = plotdata.new_plotfigure(name='Zoom2', figno=11)
# now included in same figure as zoom on diagonal
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes('x zoom')
plotaxes.show = True
plotaxes.axescmd = 'axes([0.5,0.1,0.6,0.6])'
plotaxes.title = 'On x-axis'
plotaxes.scaled = True
plotaxes.xlimits = [82, 93]
plotaxes.ylimits = [-5, 6]
def addgauges(current_data):
from clawpack.visclaw import gaugetools
gaugenos = range(1, 10) # on x-axis
gaugetools.plot_gauge_locations(current_data.plotdata, \
gaugenos=gaugenos, format_string='ko', add_labels=True)
plotaxes.afteraxes = addgauges
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
#plotitem.plot_var = geoplot.surface
plotitem.plot_var = geoplot.surface_or_depth
plotitem.pcolor_cmap = geoplot.tsunami_colormap
plotitem.pcolor_cmin = -0.9
plotitem.pcolor_cmax = 0.9
plotitem.add_colorbar = True
plotitem.amr_celledges_show = [1, 1, 0]
plotitem.amr_patchedges_show = [1]
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [1, 1, 0]
# Add contour lines of bathymetry:
plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
plotitem.plot_var = geoplot.topo
from numpy import arange, linspace
plotitem.contour_levels = arange(-10., 0., 1.)
plotitem.amr_contour_colors = ['k'] # color on each level
plotitem.kwargs = {'linestyles': 'solid'}
plotitem.amr_contour_show = [0, 0, 1] # show contours only on finest level
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
plotitem.show = True
# Add contour lines of topography:
plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
plotitem.plot_var = geoplot.topo
from numpy import arange, linspace
plotitem.contour_levels = arange(0., 11., 1.)
plotitem.amr_contour_colors = ['g'] # color on each level
plotitem.kwargs = {'linestyles': 'solid'}
plotitem.amr_contour_show = [0, 0, 1] # show contours only on finest level
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
plotitem.show = True
# Add dashed contour line for shoreline
plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
plotitem.plot_var = geoplot.topo
plotitem.contour_levels = [0.]
plotitem.amr_contour_colors = ['k'] # color on each level
plotitem.kwargs = {'linestyles': 'dashed'}
plotitem.amr_contour_show = [0, 0, 1] # show contours only on finest level
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
plotitem.show = True
#-----------------------------------------
# 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 = [-2.0, 2.0]
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')
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
t = current_data.t
legend(('surface', 'topography'), loc='lower left')
plot(t, 0 * t, 'k')
plotaxes.afteraxes = add_zeroline
#-----------------------------------------
# Figure for patches alone
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='patches', figno=2)
plotfigure.show = False
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = [0, 1]
plotaxes.ylimits = [0, 1]
plotaxes.title = 'patches'
plotaxes.scaled = True
# Set up for item on these axes:
plotitem = plotaxes.new_plotitem(plot_type='2d_patch')
plotitem.amr_patch_bgcolor = ['#ffeeee', '#eeeeff', '#eeffee']
plotitem.amr_celledges_show = [1, 1, 0]
plotitem.amr_patchedges_show = [1]
#-----------------------------------------
# Scatter plot of surface for radially symmetric
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Scatter', figno=200)
plotfigure.show = False
# Note: will not look very good unless more of domain is refined
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = [0., 100.]
plotaxes.ylimits = [-1.5, 2.]
plotaxes.title = 'Scatter plot of surface'
# Set up for item on these axes:
plotitem = plotaxes.new_plotitem(plot_type='1d_from_2d_data')
plotitem.plot_var = geoplot.surface
def q_vs_radius(current_data):
from numpy import sqrt
x = current_data.x
y = current_data.y
r = sqrt(x**2 + y**2)
q = current_data.var
return r, q
plotitem.map_2d_to_1d = q_vs_radius
plotitem.plotstyle = 'o'
plotitem.amr_color = ['b', 'r', 'g']
plotaxes.afteraxes = "import pylab; pylab.legend(['Level 1','Level 2'])"
#-----------------------------------------
# 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 = [4, 5, 104, 105] # 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?
plotdata.parallel = True # make multiple frame png's at once
plotdata.html_movie_width = 800 # width for js movie
return plotdata
def setplot(plotdata=None,
bathy_location=0.15,
bathy_angle=0.0,
bathy_left=-1.0,
bathy_right=-0.2):
"""Setup the plotting data objects.
Input: plotdata, an instance of pyclaw.plotters.data.ClawPlotData.
Output: a modified version of plotdata.
returns plotdata object
"""
if plotdata is None:
from clawpack.visclaw.data import ClawPlotData
plotdata = ClawPlotData()
# Load data from output
clawdata = clawutil.ClawInputData(2)
clawdata.read(os.path.join(plotdata.outdir, 'claw.data'))
multilayer_data = clawpack.geoclaw.data.MultilayerData()
multilayer_data.read(os.path.join(plotdata.outdir, 'multilayer.data'))
def transform_c2p(x, y, x0, y0, theta):
return ((x + x0) * np.cos(theta) - (y + y0) * np.sin(theta),
(x + x0) * np.sin(theta) + (y + y0) * np.cos(theta))
def transform_p2c(x, y, x0, y0, theta):
return (x * np.cos(theta) + y * np.sin(theta) - x0,
-x * np.sin(theta) + y * np.cos(theta) - y0)
# Setup bathymetry reference lines
with open(os.path.join(plotdata.outdir, "bathy_geometry.data"), 'r') \
as bathy_geometry_file:
bathy_location = float(bathy_geometry_file.readline())
bathy_angle = float(bathy_geometry_file.readline())
x = [0.0, 0.0]
y = [0.0, 1.0]
x1, y1 = transform_c2p(x[0], y[0], bathy_location, 0.0, bathy_angle)
x2, y2 = transform_c2p(x[1], y[1], bathy_location, 0.0, bathy_angle)
if abs(x1 - x2) < 10**-3:
x = [x1, x1]
y = [clawdata.lower[1], clawdata.upper[1]]
else:
m = (y1 - y2) / (x1 - x2)
x[0] = (clawdata.lower[1] - y1) / m + x1
y[0] = clawdata.lower[1]
x[1] = (clawdata.upper[1] - y1) / m + x1
y[1] = clawdata.upper[1]
ref_lines = [((x[0], y[0]), (x[1], y[1]))]
plotdata.clearfigures()
plotdata.save_frames = False
plotdata.format = 'ascii'
# ========================================================================
# Generic helper functions
def pcolor_afteraxes(current_data):
bathy_ref_lines(current_data)
def contour_afteraxes(current_data):
axes = plt.gca()
pos = -80.0 * (23e3 / 180) + 500e3 - 5e3
axes.plot([pos, pos], [-300e3, 300e3], 'b', [pos - 5e3, pos - 5e3],
[-300e3, 300e3], 'y')
wind_contours(current_data)
bathy_ref_lines(current_data)
def profile_afteraxes(current_data):
pass
def bathy_ref_lines(current_data):
axes = plt.gca()
for ref_line in ref_lines:
x1 = ref_line[0][0]
y1 = ref_line[0][1]
x2 = ref_line[1][0]
y2 = ref_line[1][1]
axes.plot([x1, x2], [y1, y2], 'y--', linewidth=1)
# ========================================================================
# Axis limits
xlimits = [-0.5, 0.5]
ylimits = [-0.5, 0.5]
eta = [multilayer_data.eta[0], multilayer_data.eta[1]]
top_surface_limits = [eta[0] - 0.03, eta[0] + 0.03]
internal_surface_limits = [eta[1] - 0.015, eta[1] + 0.015]
top_speed_limits = [0.0, 0.1]
internal_speed_limits = [0.0, 0.03]
# ========================================================================
# Surface Elevations
plotfigure = plotdata.new_plotfigure(name='Surface')
plotfigure.show = True
plotfigure.kwargs = {'figsize': (14, 4)}
# Top surface
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Top Surface'
plotaxes.axescmd = 'subplot(1, 2, 1)'
plotaxes.scaled = True
plotaxes.xlimits = xlimits
plotaxes.ylimits = ylimits
plotaxes.afteraxes = pcolor_afteraxes
ml_plot.add_surface_elevation(plotaxes, 1, bounds=top_surface_limits)
# ml_plot.add_surface_elevation(plotaxes,1,bounds=[-0.06,0.06])
# ml_plot.add_surface_elevation(plotaxes,1)
ml_plot.add_land(plotaxes, 1)
# Bottom surface
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Internal Surface'
plotaxes.axescmd = 'subplot(1,2,2)'
plotaxes.scaled = True
plotaxes.xlimits = xlimits
plotaxes.ylimits = ylimits
plotaxes.afteraxes = pcolor_afteraxes
# ml_plot.add_surface_elevation(plotaxes,2,bounds=[-300-0.5,-300+0.5])
ml_plot.add_surface_elevation(plotaxes, 2, bounds=internal_surface_limits)
# ml_plot.add_surface_elevation(plotaxes,2)
ml_plot.add_land(plotaxes, 2)
# ========================================================================
# Depths
# ========================================================================
plotfigure = plotdata.new_plotfigure(name='Depths', figno=42)
plotfigure.show = False
plotfigure.kwargs = {'figsize': (14, 4)}
# Top surface
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Top Layer Depth'
plotaxes.axescmd = 'subplot(1,2,1)'
plotaxes.scaled = True
plotaxes.xlimits = xlimits
plotaxes.ylimits = ylimits
plotaxes.afteraxes = pcolor_afteraxes
ml_plot.add_layer_depth(plotaxes, 1, bounds=[-0.1, 1.1])
ml_plot.add_land(plotaxes, 1)
# Bottom surface
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Bottom Layer Depth'
plotaxes.axescmd = 'subplot(1,2,2)'
plotaxes.scaled = True
plotaxes.xlimits = xlimits
plotaxes.ylimits = ylimits
plotaxes.afteraxes = pcolor_afteraxes
ml_plot.add_layer_depth(plotaxes, 2, bounds=[-0.1, 0.7])
ml_plot.add_land(plotaxes, 2)
# ========================================================================
# Water Speed
plotfigure = plotdata.new_plotfigure(name='speed')
plotfigure.show = True
plotfigure.kwargs = {'figsize': (14, 4)}
# Top layer speed
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Currents - Top Layer'
plotaxes.scaled = True
plotaxes.xlimits = xlimits
plotaxes.ylimits = ylimits
plotaxes.axescmd = 'subplot(1, 2, 1)'
plotaxes.afteraxes = pcolor_afteraxes
ml_plot.add_speed(plotaxes, 1, bounds=top_speed_limits)
ml_plot.add_land(plotaxes, 1)
# Bottom layer speed
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Currents - Bottom Layer'
plotaxes.scaled = True
plotaxes.xlimits = xlimits
plotaxes.ylimits = ylimits
plotaxes.axescmd = 'subplot(1,2,2)'
plotaxes.afteraxes = pcolor_afteraxes
# add_speed(plotaxes,2,bounds=[0.0,1e-10])
ml_plot.add_speed(plotaxes, 2, bounds=internal_speed_limits)
# add_speed(plotaxes,2)
ml_plot.add_land(plotaxes, 2)
# Individual components
plotfigure = plotdata.new_plotfigure(name='speed_components', figno=401)
plotfigure.show = False
plotfigure.kwargs = {'figsize': (14, 14)}
# Top layer
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = "X-Velocity - Top Layer"
plotaxes.scaled = True
plotaxes.xlimits = xlimits
plotaxes.ylimits = ylimits
plotaxes.axescmd = 'subplot(2,2,1)'
plotaxes.afteraxes = pcolor_afteraxes
# add_x_velocity(plotaxes,1,bounds=[-1e-10,1e-10])
ml_plot.add_x_velocity(plotaxes, 1)
ml_plot.add_land(plotaxes, 1)
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = "Y-Velocity - Top Layer"
plotaxes.scaled = True
plotaxes.xlimits = xlimits
plotaxes.ylimits = ylimits
plotaxes.axescmd = 'subplot(2,2,2)'
plotaxes.afteraxes = pcolor_afteraxes
# add_y_velocity(plotaxes,1,bounds=[-0.000125,0.000125])
ml_plot.add_y_velocity(plotaxes, 1)
ml_plot.add_land(plotaxes, 1)
# Bottom layer
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = "X-Velocity - Bottom Layer"
plotaxes.scaled = True
plotaxes.xlimits = xlimits
plotaxes.ylimits = ylimits
plotaxes.axescmd = 'subplot(2,2,3)'
plotaxes.afteraxes = pcolor_afteraxes
# add_x_velocity(plotaxes,2,bounds=[-1e-10,1e-10])
ml_plot.add_x_velocity(plotaxes, 2)
ml_plot.add_land(plotaxes, 2)
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = "Y-Velocity - Bottom Layer"
plotaxes.scaled = True
plotaxes.xlimits = xlimits
plotaxes.ylimits = ylimits
plotaxes.axescmd = 'subplot(2,2,4)'
plotaxes.afteraxes = pcolor_afteraxes
# add_y_velocity(plotaxes,2,bounds=[-0.8e-6,.8e-6])
ml_plot.add_y_velocity(plotaxes, 2)
ml_plot.add_land(plotaxes, 2)
# ========================================================================
# Profile Plots
# Note that these are not currently plotted by default - set
# `plotfigure.show = True` is you want this to be plotted
plotfigure = plotdata.new_plotfigure(name='profile')
plotfigure.show = False
# Top surface
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = xlimits
plotaxes.ylimits = [-1.1, 0.1]
plotaxes.title = "Profile of depth"
plotaxes.afteraxes = profile_afteraxes
slice_index = 30
# Internal surface
def bathy_profile(current_data):
return current_data.x[:, slice_index], b(current_data)[:, slice_index]
def lower_surface(current_data):
if multilayer_data.init_type == 2:
return current_data.x[:, slice_index], \
eta2(current_data)[:, slice_index]
elif multilayer_data.init_type == 6:
return current_data.y[slice_index, :], \
eta2(current_data)[slice_index, :]
def upper_surface(current_data):
if multilayer_data.init_type == 2:
return current_data.x[:, slice_index], \
eta1(current_data)[:, slice_index]
elif multilayer_data.init_type == 6:
return current_data.y[slice_index, :], \
eta1(current_data)[slice_index, :]
def top_speed(current_data):
if multilayer_data.init_type == 2:
return current_data.x[:, slice_index], \
water_u1(current_data)[:, slice_index]
elif multilayer_data.init_type == 6:
return current_data.y[slice_index, :], \
water_u1(current_data)[slice_index, :]
def bottom_speed(current_data):
if multilayer_data.init_type == 2:
return current_data.x[:, slice_index], \
water_u2(current_data)[:, slice_index]
elif multilayer_data.init_type == 6:
return current_data.y[slice_index, :], \
water_u2(current_data)[slice_index, :]
# Bathy
plotitem = plotaxes.new_plotitem(plot_type='1d_from_2d_data')
plotitem.map_2d_to_1d = bathy_profile
plotitem.plot_var = 0
plotitem.amr_plotstyle = ['-', '+', 'x']
plotitem.color = 'k'
plotitem.show = True
# Internal Interface
plotitem = plotaxes.new_plotitem(plot_type='1d_from_2d_data')
plotitem.map_2d_to_1d = lower_surface
plotitem.plot_var = 7
plotitem.amr_plotstyle = ['-', '+', 'x']
plotitem.color = 'b'
plotitem.show = True
# Upper Interface
plotitem = plotaxes.new_plotitem(plot_type='1d_from_2d_data')
plotitem.map_2d_to_1d = upper_surface
plotitem.plot_var = 6
plotitem.amr_plotstyle = ['-', '+', 'x']
plotitem.color = (0.2, 0.8, 1.0)
plotitem.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Y-Velocity'
plotaxes.scaled = True
plotaxes.xlimits = xlimits
plotaxes.ylimits = ylimits
plotaxes.afteraxes = pcolor_afteraxes
# Water
# plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
# # plotitem.plot_var = geoplot.surface
# plotitem.plot_var = water_v
# plotitem.pcolor_cmap = colormaps.make_colormap({1.0:'r',0.5:'w',0.0:'b'})
# # plotitem.pcolor_cmin = -1.e-10
# # plotitem.pcolor_cmax = 1.e-10
# # plotitem.pcolor_cmin = -2.5 # -3.0
# # plotitem.pcolor_cmax = 2.5 # 3.0
# plotitem.add_colorbar = True
# plotitem.amr_celledges_show = [0,0,0]
# plotitem.amr_patchedges_show = [1,1,1]
# Land
ml_plot.add_land(plotaxes, 1)
# ========================================================================
# Contour plot for surface
# ========================================================================
plotfigure = plotdata.new_plotfigure(name='contour_surface', figno=15)
plotfigure.show = False
plotfigure.kwargs = {'figsize': (14, 4)}
# Set up for axes in this figure:
# Top Surface
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Top Surface'
plotaxes.axescmd = 'subplot(1,2,1)'
plotaxes.scaled = True
plotaxes.xlimits = xlimits
plotaxes.ylimits = ylimits
plotaxes.afteraxes = contour_afteraxes
ml_plot.add_surface_elevation(plotaxes,
plot_type='contour',
surface=1,
bounds=[-2.5, -1.5, -0.5, 0.5, 1.5, 2.5])
ml_plot.add_land(plotaxes, 1, plot_type='contour')
# Internal Surface
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Internal Surface'
plotaxes.axescmd = 'subplot(1,2,2)'
plotaxes.scaled = True
plotaxes.xlimits = xlimits
plotaxes.ylimits = ylimits
plotaxes.afteraxes = contour_afteraxes
ml_plot.add_surface_elevation(plotaxes,
plot_type='contour',
surface=2,
bounds=[-2.5, -1.5, -0.5, 0.5, 1.5, 2.5])
ml_plot.add_land(plotaxes, 2, plot_type='contour')
# ========================================================================
# Contour plot for speed
# ========================================================================
plotfigure = plotdata.new_plotfigure(name='contour_speed', figno=16)
plotfigure.show = False
plotfigure.kwargs = {'figsize': (14, 4)}
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Current'
plotaxes.scaled = True
plotaxes.xlimits = xlimits
plotaxes.ylimits = ylimits
plotaxes.afteraxes = contour_afteraxes
# Surface
plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
plotitem.plot_var = ml_plot.water_speed_depth_ave
plotitem.kwargs = {'linewidths': 1}
# plotitem.contour_levels = [1.0,2.0,3.0,4.0,5.0,6.0]
plotitem.contour_levels = [0.5, 1.5, 3, 4.5, 6.0]
plotitem.amr_contour_show = [1, 1, 1]
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.amr_patchedges_show = [1, 1, 1]
plotitem.amr_contour_colors = 'k'
# plotitem.amr_contour_colors = ['r','k','b'] # color on each level
# plotitem.amr_grid_bgcolor = ['#ffeeee', '#eeeeff', '#eeffee']
plotitem.show = True
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
plotitem.plot_var = geoplot.land
plotitem.contour_nlevels = 40
plotitem.contour_min = 0.0
plotitem.contour_max = 100.0
plotitem.amr_contour_colors = ['g'] # color on each level
plotitem.amr_patch_bgcolor = ['#ffeeee', '#eeeeff', '#eeffee']
plotitem.amr_celledges_show = 0
plotitem.amr_patchedges_show = 0
plotitem.show = True
# ========================================================================
# Grid Cells
# ========================================================================
# Figure for grid cells
plotfigure = plotdata.new_plotfigure(name='cells', figno=2)
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = xlimits
plotaxes.ylimits = ylimits
plotaxes.title = 'Grid patches'
plotaxes.scaled = True
# Set up for item on these axes:
plotitem = plotaxes.new_plotitem(plot_type='2d_patch')
plotitem.amr_patch_bgcolor = ['#ffeeee', '#eeeeff', '#eeffee']
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.amr_patchedges_show = [1, 1, 1]
# ========================================================================
# Vorticity Plot
# ========================================================================
# plotfigure = plotdata.new_plotfigure(name='vorticity',figno=17)
# plotfigure.show = False
# plotaxes = plotfigure.new_plotaxes()
# plotaxes.title = "Vorticity"
# plotaxes.scaled = True
# plotaxes.xlimits = xlimits
# plotaxes.ylimits = ylimits
# plotaxes.afteraxes = pcolor_afteraxes
#
# # Vorticity
# plotitem = plotaxes.new_plotitem(plot_type='2d_imshow')
# plotitem.plot_var = 9
# plotitem.imshow_cmap = plt.get_cmap('PRGn')
# # plotitem.pcolor_cmap = plt.get_cmap('PuBu')
# # plotitem.pcolor_cmin = 0.0
# # plotitem.pcolor_cmax = 6.0
# plotitem.imshow_cmin = -1.e-2
# plotitem.imshow_cmax = 1.e-2
# plotitem.add_colorbar = True
# plotitem.amr_celledges_show = [0,0,0]
# plotitem.amr_patchedges_show = [1]
#
# # Land
# plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
# plotitem.plot_var = geoplot.land
# plotitem.pcolor_cmap = geoplot.land_colors
# plotitem.pcolor_cmin = 0.0
# plotitem.pcolor_cmax = 80.0
# plotitem.add_colorbar = False
# plotitem.amr_celledges_show = [0,0,0]
# ========================================================================
# Figures for gauges
# Top
plotfigure = plotdata.new_plotfigure(name='Surface & topo',
type='each_gauge',
figno=301)
plotfigure.show = True
plotfigure.clf_each_gauge = True
plotfigure.kwargs = {'figsize': (14, 4)}
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.axescmd = 'subplot(1, 2, 1)'
plotaxes.xlimits = [0.0, 1.0]
plotaxes.ylimits = top_surface_limits
plotaxes.title = 'Top Surface'
# Plot surface as blue curve:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 6
plotitem.plotstyle = 'b-'
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.axescmd = 'subplot(1, 2, 2)'
plotaxes.xlimits = [0.0, 1.0]
plotaxes.ylimits = internal_surface_limits
plotaxes.title = 'Bottom Surface'
# Plot surface as blue curve:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 7
plotitem.plotstyle = 'b-'
# =========================================================================
# Other plots
# Gauge Locations - Enable to see where gauges are located
def locations_afteraxes(current_data, gaugenos='all'):
gaugetools.plot_gauge_locations(current_data.plotdata,
gaugenos=gaugenos,
format_string='kx',
add_labels=True)
pcolor_afteraxes(current_data)
plotfigure = plotdata.new_plotfigure(name='Gauge Locations')
plotfigure.show = False
plotfigure.kwargs = {'figsize': (14, 4)}
# Top surface
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Top Surface'
plotaxes.axescmd = 'subplot(1, 2, 1)'
plotaxes.scaled = True
plotaxes.xlimits = xlimits
plotaxes.ylimits = ylimits
plotaxes.afteraxes = locations_afteraxes
ml_plot.add_surface_elevation(plotaxes, 1, bounds=top_surface_limits)
ml_plot.add_land(plotaxes, 1)
# Bottom surface
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Internal Surface'
plotaxes.axescmd = 'subplot(1, 2, 2)'
plotaxes.scaled = True
plotaxes.xlimits = xlimits
plotaxes.ylimits = ylimits
plotaxes.afteraxes = locations_afteraxes
ml_plot.add_surface_elevation(plotaxes, 2, bounds=internal_surface_limits)
ml_plot.add_land(plotaxes, 2)
# -----------------------------------------
# Parameters used only when creating html and/or latex hardcopy
# e.g., via pyclaw.plotters.frametools.printframes:
plotdata.printfigs = True # print figures
plotdata.print_format = 'png' # file format
plotdata.print_framenos = 'all' # list of frames to print
plotdata.print_fignos = 'all' # list of figures to print
plotdata.html = True # create html files of plots?
plotdata.latex = False # create latex file of plots?
plotdata.latex_figsperline = 2 # layout of plots
plotdata.latex_framesperline = 1 # layout of plots
plotdata.latex_makepdf = False # also run pdflatex?
plotdata.parallel = True # make multiple frame png's at once
return plotdata
def setplot(plotdata=None):
#--------------------------
"""
Specify what is to be plotted at each frame.
Input: plotdata, an instance of clawpack.visclaw.data.ClawPlotData.
Output: a modified version of plotdata.
"""
if plotdata is None:
from clawpack.visclaw.data import ClawPlotData
plotdata = ClawPlotData()
from clawpack.visclaw import colormaps
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.format = "ascii"
# Figure for pcolor plot
plotfigure = plotdata.new_plotfigure(name='q[0]', figno=0)
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = 'auto'
plotaxes.ylimits = 'auto'
plotaxes.title = 'q[0]'
plotaxes.scaled = True
plotaxes.afteraxes = addgauges
# Set up for item on these axes:
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = 0
plotitem.pcolor_cmap = colormaps.red_yellow_blue
plotitem.pcolor_cmin = -1.
plotitem.pcolor_cmax = 1.
plotitem.add_colorbar = True
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
plotitem.MappedGrid = True
plotitem.mapc2p = mapc2p
plotitem.show = True # show on plot?
# Figure for contour plot
plotfigure = plotdata.new_plotfigure(name='contour', figno=1)
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = 'auto'
plotaxes.ylimits = 'auto'
plotaxes.title = 'q[0]'
plotaxes.scaled = True
# Set up for item on these axes:
plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
plotitem.plot_var = 0
plotitem.contour_levels = np.linspace(-0.9, 0.9, 10)
plotitem.amr_contour_colors = ['k','b']
plotitem.patchedges_show = 1
plotitem.MappedGrid = True
plotitem.mapc2p = mapc2p
plotitem.show = True # show on plot?
# Figure for grids
plotfigure = plotdata.new_plotfigure(name='grids', figno=2)
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = 'auto'
plotaxes.ylimits = 'auto'
plotaxes.title = 'grids'
plotaxes.scaled = True
# Set up for item on these axes:
plotitem = plotaxes.new_plotitem(plot_type='2d_patch')
plotitem.MappedGrid = True
plotitem.mapc2p = mapc2p
plotitem.amr_celledges_show = [1,1,0]
plotitem.amr_patchedges_show = [1]
#-----------------------------------------
# Figures for gauges
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='q', figno=300, \
type='each_gauge')
plotfigure.clf_each_gauge = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = 'auto'
plotaxes.ylimits = 'auto'
plotaxes.title = 'q'
# Plot q as blue curve:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 0
plotitem.plotstyle = 'b-'
# Parameters used only when creating html and/or latex hardcopy
# e.g., via clawpack.visclaw.frametools.printframes:
plotdata.printfigs = True # print figures
plotdata.print_format = 'png' # file format
plotdata.print_framenos = 'all' # list of frames to print
plotdata.print_fignos = 'all' # list of figures to print
plotdata.html = True # create html files of plots?
plotdata.html_homelink = '../README.html' # pointer for top of index
plotdata.html_movie = 'JSAnimation' # new style, or "4.x" for old style
plotdata.latex = True # create latex file of plots?
plotdata.latex_figsperline = 2 # layout of plots
plotdata.latex_framesperline = 1 # layout of plots
plotdata.latex_makepdf = False # also run pdflatex?
plotdata.parallel = True # make multiple frame png's at once
return plotdata
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]
def friction_after_axes(cd):
plt.title(r"Manning's $n$ Coefficient")
# ==========================================================================
# Plot specifications
# ==========================================================================
regions = {
"Gulf": {
"xlimits": (clawdata.lower[0], clawdata.upper[0]),
"ylimits": (clawdata.lower[1], clawdata.upper[1]),
"figsize": (6.4, 4.8)
},
"Long Island": {
"xlimits": (-74.5, -71.5),
"ylimits": (40, 41.5),
"figsize": (8, 2.7)
}
}
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)
# ========================================================================
# 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, 3.75]
# plotaxes.xlabel = "Days from landfall"
# plotaxes.ylabel = "Surface (m)"
plotaxes.ylimits = [0, 4]
plotaxes.title = 'Surface'
def gauge_afteraxes(cd):
axes = plt.gca()
surgeplot.plot_landfall_gauge(cd.gaugesoln, axes)
# fetch real data
noaaArr = [
"8557380", "8639348", "8662245", "2695540", "8531680", "8510560"
]
gaugeNumber = cd.gaugeno
if (gaugeNumber < 7):
# only looking at gauge 1-6 because rest of data not from NOAA Gauges
realData = geoutil.fetch_noaa_tide_data(
noaaArr[gaugeNumber - 1],
datetime.datetime(2015, 9, 30, hour=12),
datetime.datetime(2015, 10, 6, hour=6))
values = realData[1] - realData[2] # de-tide NOAA data
times = []
for time in realData[0]:
times.append(
(time - numpy.datetime64("2015-10-02T12:00")).astype(float)
/ 1440)
plt.plot(times, values, color="g", label="real")
# 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, 3.75])
axes.set_ylim([0, 4])
axes.set_xticks([-2, -1, 0, 1, 2, 3])
axes.set_xticklabels(
[r"$-2$", r"$-1$", r"$0$", r"$1$", r"$2$", r"$3$"])
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_1_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=[1],
format_string='ko',
add_labels=True)
def gauge_2_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=[2],
format_string='ko',
add_labels=True)
def gauge_3_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=[3],
format_string='ko',
add_labels=True)
def gauge_4_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=[4],
format_string='ko',
add_labels=True)
def gauge_5_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=[5],
format_string='ko',
add_labels=True)
def gauge_6_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=[6],
format_string='ko',
add_labels=True)
def gauge_7_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=[8],
format_string='ko',
add_labels=True)
def gauge_8_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=[9],
format_string='ko',
add_labels=True)
plotfigure = plotdata.new_plotfigure(name="Gauge 1")
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Gauge 1'
plotaxes.scaled = True
plotaxes.xlimits = [-75.5, -74.75]
plotaxes.ylimits = [38.25, 39.25]
plotaxes.afteraxes = gauge_1_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
plotfigure = plotdata.new_plotfigure(name="Gauge 2")
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Gauge 2'
plotaxes.scaled = True
plotaxes.xlimits = [-76.75, -75.5]
plotaxes.ylimits = [36.5, 37.5]
plotaxes.afteraxes = gauge_2_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
plotfigure = plotdata.new_plotfigure(name="Gauge 3")
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Gauge 3'
plotaxes.scaled = True
plotaxes.xlimits = [-79.5, -79]
plotaxes.ylimits = [33, 33.5]
plotaxes.afteraxes = gauge_3_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
plotfigure = plotdata.new_plotfigure(name="Gauge 4")
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Gauge 4'
plotaxes.scaled = True
plotaxes.xlimits = [-65.25, -64.25]
plotaxes.ylimits = [31.75, 32.5]
plotaxes.afteraxes = gauge_4_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
plotfigure = plotdata.new_plotfigure(name="Gauge 5")
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Gauge 5'
plotaxes.scaled = True
plotaxes.xlimits = [-74.5, -73.5]
plotaxes.ylimits = [40, 40.75]
plotaxes.afteraxes = gauge_5_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
plotfigure = plotdata.new_plotfigure(name="Gauge 6")
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Gauge 6'
plotaxes.scaled = True
plotaxes.xlimits = [-72.5, -71.5]
plotaxes.ylimits = [40.5, 41.5]
plotaxes.afteraxes = gauge_6_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
plotfigure = plotdata.new_plotfigure(name="Gauge 7")
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Gauge 7'
plotaxes.scaled = True
plotaxes.xlimits = [-75.5, -74]
plotaxes.ylimits = [23, 24.5]
plotaxes.afteraxes = gauge_7_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
plotfigure = plotdata.new_plotfigure(name="Gauge 8")
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Gauge 8'
plotaxes.scaled = True
plotaxes.xlimits = [-74.75, -73.5]
plotaxes.ylimits = [21.75, 23.25]
plotaxes.afteraxes = gauge_8_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, 7,
8] # 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):
#--------------------------
r"""Setplot function for surge plotting"""
if plotdata is None:
from clawpack.visclaw.data import ClawPlotData
plotdata = ClawPlotData()
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.format = 'binary'
fig_num_counter = surgeplot.figure_counter()
# Load data from output
clawdata = clawutil.ClawInputData(2)
clawdata.read(os.path.join(plotdata.outdir,'claw.data'))
amrdata = amrclaw.AmrclawInputData(clawdata)
amrdata.read(os.path.join(plotdata.outdir,'amr.data'))
physics = geodata.GeoClawData()
physics.read(os.path.join(plotdata.outdir,'geoclaw.data'))
surge_data = geodata.SurgeData()
surge_data.read(os.path.join(plotdata.outdir,'surge.data'))
friction_data = geodata.FrictionData()
friction_data.read(os.path.join(plotdata.outdir,'friction.data'))
# Load storm track
track = surgeplot.track_data(os.path.join(plotdata.outdir,'fort.track'))
# Calculate landfall time, off by a day, maybe leap year issue?
landfall_dt = datetime.datetime(2008,9,13,7) - datetime.datetime(2008,1,1,0)
landfall = (landfall_dt.days - 1.0) * 24.0 * 60**2 + landfall_dt.seconds
# Set afteraxes function
surge_afteraxes = lambda cd: surgeplot.surge_afteraxes(cd,
track, landfall, plot_direction=False)
# Color limits
surface_range = 5.0
speed_range = 3.0
eta = physics.sea_level
if not isinstance(eta,list):
eta = [eta]
surface_limits = [eta[0]-surface_range,eta[0]+surface_range]
# surface_contours = numpy.linspace(-surface_range, surface_range,11)
surface_contours = [-5,-4.5,-4,-3.5,-3,-2.5,-2,-1.5,-1,-0.5,0.5,1,1.5,2,2.5,3,3.5,4,4.5,5]
surface_ticks = [-5,-4,-3,-2,-1,0,1,2,3,4,5]
surface_labels = [str(value) for value in surface_ticks]
speed_limits = [0.0,speed_range]
speed_contours = numpy.linspace(0.0,speed_range,13)
speed_ticks = [0,1,2,3]
speed_labels = [str(value) for value in speed_ticks]
wind_limits = [0,64]
# wind_limits = [-0.002,0.002]
pressure_limits = [935,1013]
friction_bounds = [0.01,0.04]
# vorticity_limits = [-1.e-2,1.e-2]
# def pcolor_afteraxes(current_data):
# surge_afteraxes(current_data)
# surge.plot.gauge_locations(current_data,gaugenos=[6])
def contour_afteraxes(current_data):
surge_afteraxes(current_data)
def add_custom_colorbar_ticks_to_axes(axes, item_name, ticks, tick_labels=None):
axes.plotitem_dict[item_name].colorbar_ticks = ticks
axes.plotitem_dict[item_name].colorbar_tick_labels = tick_labels
# ==========================================================================
# ==========================================================================
# Plot specifications
# ==========================================================================
# ==========================================================================
# ========================================================================
# Entire Gulf
# ========================================================================
gulf_xlimits = [clawdata.lower[0],clawdata.upper[0]]
gulf_ylimits = [clawdata.lower[1],clawdata.upper[1]]
gulf_shrink = 0.9
def gulf_after_axes(cd):
plt.subplots_adjust(left=0.08, bottom=0.04, right=0.97, top=0.96)
surge_afteraxes(cd)
#
# Surface
#
plotfigure = plotdata.new_plotfigure(name='Surface - Entire Domain',
figno=fig_num_counter.get_counter())
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Surface'
plotaxes.scaled = True
plotaxes.xlimits = gulf_xlimits
plotaxes.ylimits = gulf_ylimits
plotaxes.afteraxes = gulf_after_axes
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?
plotdata.parallel = True # make multiple frame png's at once
return plotdata