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
# ========================================================================
# 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_land(plotaxes)
# 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=internal_surface_limits)
ml_plot.add_land(plotaxes)
# ========================================================================
# 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)
# 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
ml_plot.add_speed(plotaxes, 2, bounds=internal_speed_limits)
ml_plot.add_land(plotaxes)
# ========================================================================
# 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
# ========================================================================
# 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)
# 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)
# -----------------------------------------
# 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):
""""""
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):
r"""Setplot function for surge plotting"""
plotdata.clearfigures() # clear any old figures,axes,items data
fig_num_counter = surge.plot.figure_counter()
# Load data from output
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 = surge.data.SurgeData()
surge_data.read(os.path.join(plotdata.outdir, 'surge.data'))
friction_data = surge.data.FrictionData()
friction_data.read(os.path.join(plotdata.outdir, 'friction.data'))
# Load storm track
track = surge.plot.track_data(os.path.join(plotdata.outdir, 'fort.track'))
# Calculate landfall time, off by a day, maybe leap year issue?
landfall_dt = datetime.datetime(2013, 10, 5, 0) - datetime.datetime(
2013, 1, 1, 0)
landfall = (landfall_dt.days - 1.0) * 24.0 * 60**2 + landfall_dt.seconds
# Set afteraxes function
surge_afteraxes = lambda cd: surge.plot.surge_afteraxes(
cd, track, landfall, plot_direction=False)
# Color limits
surface_range = 5.0
speed_range = 3.0
eta = physics.sea_level
if not isinstance(eta, list):
eta = [eta]
surface_limits = [eta[0] - surface_range, eta[0] + surface_range]
# surface_contours = numpy.linspace(-surface_range, surface_range,11)
surface_contours = [
-5, -4.5, -4, -3.5, -3, -2.5, -2, -1.5, -1, -0.5, 0.5, 1, 1.5, 2, 2.5,
3, 3.5, 4, 4.5, 5
]
surface_ticks = [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5]
surface_labels = [str(value) for value in surface_ticks]
speed_limits = [0.0, speed_range]
speed_contours = numpy.linspace(0.0, speed_range, 13)
speed_ticks = [0, 1, 2, 3]
speed_labels = [str(value) for value in speed_ticks]
wind_limits = [0, 64]
# wind_limits = [-0.002,0.002]
pressure_limits = [935, 1013]
friction_bounds = [0.01, 0.04]
# vorticity_limits = [-1.e-2,1.e-2]
# def pcolor_afteraxes(current_data):
# surge_afteraxes(current_data)
# surge.plot.gauge_locations(current_data,gaugenos=[6])
def contour_afteraxes(current_data):
surge_afteraxes(current_data)
def add_custom_colorbar_ticks_to_axes(axes,
item_name,
ticks,
tick_labels=None):
axes.plotitem_dict[item_name].colorbar_ticks = ticks
axes.plotitem_dict[item_name].colorbar_tick_labels = tick_labels
# ==========================================================================
# ==========================================================================
# Plot specifications
# ==========================================================================
# ==========================================================================
# ========================================================================
# Entire Gulf
# ========================================================================
gulf_xlimits = [clawdata.lower[0], clawdata.upper[0]]
gulf_ylimits = [clawdata.lower[1], clawdata.upper[1]]
gulf_shrink = 0.9
def gulf_after_axes(cd):
plt.subplots_adjust(left=0.08, bottom=0.04, right=0.97, top=0.96)
surge_afteraxes(cd)
#
# Surface
#
plotfigure = plotdata.new_plotfigure(name='Surface - Entire Domain',
figno=fig_num_counter.get_counter())
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Surface'
plotaxes.scaled = True
plotaxes.xlimits = gulf_xlimits
plotaxes.ylimits = gulf_ylimits
plotaxes.afteraxes = gulf_after_axes
surge.plot.add_surface_elevation(plotaxes,
plot_type='contourf',
contours=surface_contours,
shrink=gulf_shrink)
surge.plot.add_land(plotaxes, topo_min=-10.0, topo_max=5.0)
# surge.plot.add_bathy_contours(plotaxes)
if article:
plotaxes.plotitem_dict['surface'].add_colorbar = False
else:
add_custom_colorbar_ticks_to_axes(plotaxes, 'surface', surface_ticks,
surface_labels)
plotaxes.plotitem_dict['surface'].amr_patchedges_show = [
1, 1, 1, 1, 1, 1, 1, 1
]
#
# Water Speed
#
plotfigure = plotdata.new_plotfigure(name='Currents - Entire Domain',
figno=fig_num_counter.get_counter())
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Currents'
plotaxes.scaled = True
plotaxes.xlimits = gulf_xlimits
plotaxes.ylimits = gulf_ylimits
plotaxes.afteraxes = gulf_after_axes
# Speed
surge.plot.add_speed(plotaxes,
plot_type='contourf',
contours=speed_contours,
shrink=gulf_shrink)
if article:
plotaxes.plotitem_dict['speed'].add_colorbar = False
else:
add_custom_colorbar_ticks_to_axes(plotaxes, 'speed', speed_ticks,
speed_labels)
# Land
surge.plot.add_land(plotaxes)
surge.plot.add_bathy_contours(plotaxes)
#
# Friction field
#
plotfigure = plotdata.new_plotfigure(name='Friction',
figno=fig_num_counter.get_counter())
plotfigure.show = friction_data.variable_friction and True
def friction_after_axes(cd):
plt.subplots_adjust(left=0.08, bottom=0.04, right=0.97, top=0.96)
plt.title(r"Manning's $n$ Coefficient")
# surge_afteraxes(cd)
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = gulf_xlimits
plotaxes.ylimits = gulf_ylimits
# plotaxes.title = "Manning's N Coefficient"
plotaxes.afteraxes = friction_after_axes
plotaxes.scaled = True
surge.plot.add_friction(plotaxes, bounds=friction_bounds, shrink=0.9)
plotaxes.plotitem_dict['friction'].amr_patchedges_show = [
0, 0, 0, 0, 0, 0, 0
]
plotaxes.plotitem_dict['friction'].colorbar_label = "$n$"
# ========================================================================
# LaTex Shelf
# ========================================================================
latex_xlimits = [-97.5, -88.5]
latex_ylimits = [27.5, 30.5]
latex_shrink = 1.0
def latex_after_axes(cd):
if article:
plt.subplots_adjust(left=0.07, bottom=0.14, right=1.0, top=0.86)
else:
plt.subplots_adjust(right=1.0)
surge_afteraxes(cd)
#
# Surface
#
plotfigure = plotdata.new_plotfigure(name='Surface - LaTex Shelf',
figno=fig_num_counter.get_counter())
plotfigure.show = True
if article:
plotfigure.kwargs = {'figsize': (8, 2.7), 'facecolor': 'none'}
else:
plotfigure.kwargs = {'figsize': (9, 2.7), 'facecolor': 'none'}
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Surface'
plotaxes.scaled = True
plotaxes.xlimits = latex_xlimits
plotaxes.ylimits = latex_ylimits
plotaxes.afteraxes = latex_after_axes
surge.plot.add_surface_elevation(plotaxes,
plot_type='contourf',
contours=surface_contours,
shrink=latex_shrink)
if article:
plotaxes.plotitem_dict['surface'].add_colorbar = False
# plotaxes.afteraxes = lambda cd: article_latex_after_axes(cd, landfall)
else:
add_custom_colorbar_ticks_to_axes(
plotaxes, 'surface', [-5, -2.5, 0, 2.5, 5.0],
["-5.0", "-2.5", " 0", " 2.5", " 5.0"])
# plotaxes.plotitem_dict['surface'].contour_cmap = plt.get_cmap('OrRd')
# surge.plot.add_surface_elevation(plotaxes,plot_type='contour')
surge.plot.add_land(plotaxes)
# plotaxes.plotitem_dict['surface'].amr_patchedges_show = [1,1,1,0,0,0,0]
plotaxes.plotitem_dict['surface'].amr_patchedges_show = [
0, 0, 0, 0, 0, 0, 0
]
# plotaxes.plotitem_dict['land'].amr_patchedges_show = [1,1,1,0,0,0,0]
plotaxes.plotitem_dict['land'].amr_patchedges_show = [0, 0, 0, 0, 0, 0, 0]
# Plot using jet and 0.0 to 5.0 to match figgen generated ADCIRC results
# plotaxes.plotitem_dict['surface'].pcolor_cmin = 0.0
# plotaxes.plotitem_dict['surface'].pcolor_cmax = 5.0
# plotaxes.plotitem_dict['surface'].pcolor_cmap = plt.get_cmap('jet')
#
# Water Speed
#
plotfigure = plotdata.new_plotfigure(name='Currents - LaTex Shelf',
figno=fig_num_counter.get_counter())
plotfigure.show = True
if article:
plotfigure.kwargs = {'figsize': (8, 2.7), 'facecolor': 'none'}
else:
plotfigure.kwargs = {'figsize': (9, 2.7), 'facecolor': 'none'}
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Currents'
plotaxes.scaled = True
plotaxes.xlimits = latex_xlimits
plotaxes.ylimits = latex_ylimits
plotaxes.afteraxes = latex_after_axes
surge.plot.add_speed(plotaxes,
plot_type='contourf',
contours=speed_contours,
shrink=latex_shrink)
if article:
plotaxes.plotitem_dict['speed'].add_colorbar = False
else:
add_custom_colorbar_ticks_to_axes(plotaxes, 'speed', speed_ticks,
speed_labels)
# surge.plot.add_surface_elevation(plotaxes,plot_type='contour')
surge.plot.add_land(plotaxes)
# plotaxes.plotitem_dict['speed'].amr_patchedges_show = [1,1,0,0,0,0,0]
# plotaxes.plotitem_dict['land'].amr_patchedges_show = [1,1,1,0,0,0,0]
plotaxes.plotitem_dict['speed'].amr_patchedges_show = [0, 0, 0, 0, 0, 0, 0]
plotaxes.plotitem_dict['land'].amr_patchedges_show = [0, 0, 0, 0, 0, 0, 0]
# ==========================
# Hurricane Forcing fields
# ==========================
# Pressure field
plotfigure = plotdata.new_plotfigure(name='Pressure',
figno=fig_num_counter.get_counter())
plotfigure.show = surge_data.pressure_forcing and True
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = gulf_xlimits
plotaxes.ylimits = gulf_ylimits
plotaxes.title = "Pressure Field"
plotaxes.afteraxes = gulf_after_axes
plotaxes.scaled = True
surge.plot.add_pressure(plotaxes,
bounds=pressure_limits,
shrink=gulf_shrink)
surge.plot.add_land(plotaxes)
# Wind field
plotfigure = plotdata.new_plotfigure(name='Wind Speed',
figno=fig_num_counter.get_counter())
plotfigure.show = surge_data.wind_forcing and True
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = gulf_xlimits
plotaxes.ylimits = gulf_ylimits
plotaxes.title = "Wind Field"
plotaxes.afteraxes = gulf_after_axes
plotaxes.scaled = True
surge.plot.add_wind(plotaxes,
bounds=wind_limits,
plot_type='pcolor',
shrink=gulf_shrink)
surge.plot.add_land(plotaxes)
# ========================================================================
# Figures for gauges
# ========================================================================
plotfigure = plotdata.new_plotfigure(name='Surface & topo', figno=300, \
type='each_gauge')
plotfigure.show = True
plotfigure.clf_each_gauge = True
plotfigure.kwargs['figsize'] = (16, 10)
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = [-2, 1]
# plotaxes.xlabel = "Days from landfall"
# plotaxes.ylabel = "Surface (m)"
plotaxes.ylimits = [-1, 5]
plotaxes.title = 'Surface'
# plotaxes.afteraxes = gauge_after_axes
# Plot surface as blue curve:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 3
plotitem.plotstyle = 'b-'
# =====================
# Gauge Location Plot
# =====================
gauge_xlimits = [-95.5, -94]
gauge_ylimits = [29.0, 30.0]
gauge_location_shrink = 0.75
def gauge_after_axes(cd):
# plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.97)
surge_afteraxes(cd)
surge.plot.gauge_locations(cd, gaugenos=[1, 2, 3, 4])
plt.title("Gauge Locations")
plotfigure = plotdata.new_plotfigure(name='Gauge Locations',
figno=fig_num_counter.get_counter())
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Surface'
plotaxes.scaled = True
plotaxes.xlimits = gauge_xlimits
plotaxes.ylimits = gauge_ylimits
plotaxes.afteraxes = gauge_after_axes
surge.plot.add_surface_elevation(plotaxes,
plot_type='contourf',
contours=surface_contours,
shrink=gauge_location_shrink)
# surge.plot.add_surface_elevation(plotaxes, plot_type="contourf")
add_custom_colorbar_ticks_to_axes(plotaxes, 'surface', surface_ticks,
surface_labels)
surge.plot.add_land(plotaxes)
# plotaxes.plotitem_dict['surface'].amr_patchedges_show = [0,0,0,0,0,0,0]
# plotaxes.plotitem_dict['surface'].add_colorbar = False
# plotaxes.plotitem_dict['surface'].pcolor_cmap = plt.get_cmap('jet')
# plotaxes.plotitem_dict['surface'].pcolor_cmap = plt.get_cmap('gist_yarg')
# plotaxes.plotitem_dict['surface'].pcolor_cmin = 0.0
# plotaxes.plotitem_dict['surface'].pcolor_cmax = 5.0
plotaxes.plotitem_dict['surface'].amr_patchedges_show = [
0, 0, 0, 0, 0, 0, 0
]
plotaxes.plotitem_dict['land'].amr_patchedges_show = [0, 0, 0, 0, 0, 0, 0]
#-----------------------------------------
# Parameters used only when creating html and/or latex hardcopy
# e.g., via pyclaw.plotters.frametools.printframes:
if article:
plotdata.printfigs = True # print figures
plotdata.print_format = 'png' # file format
plotdata.print_framenos = [54, 60, 66, 72, 78,
84] # list of frames to print
plotdata.print_gaugenos = [1, 2, 3, 4] # list of gauges to print
plotdata.print_fignos = [4, 5, 6, 7, 10, 3,
300] # list of figures to print
plotdata.html = True # create html files of plots?
plotdata.html_homelink = '../README.html' # pointer for top of index
plotdata.latex = False # create latex file of plots?
plotdata.latex_figsperline = 2 # layout of plots
plotdata.latex_framesperline = 1 # layout of plots
plotdata.latex_makepdf = False # also run pdflatex?
else:
plotdata.printfigs = True # print figures
plotdata.print_format = 'png' # file format
plotdata.print_framenos = 'all' # list of frames to print
plotdata.print_gaugenos = [1, 2, 3, 4] # list of gauges to print
plotdata.print_fignos = 'all' # list of figures to print
plotdata.html = True # create html files of plots?
plotdata.html_homelink = '../README.html' # pointer for top of index
plotdata.latex = True # create latex file of plots?
plotdata.latex_figsperline = 2 # layout of plots
plotdata.latex_framesperline = 1 # layout of plots
plotdata.latex_makepdf = False # also run pdflatex?
return plotdata
def setplot(plotdata):
r"""Setplot function for surge plotting"""
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.format = 'binary'
# Load data from output
clawdata = 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
surge_afteraxes = lambda cd: surgeplot.surge_afteraxes(cd, track,
plot_direction=False)
# Color limits
surface_range = 1.5
speed_range = 1.0
# speed_range = 1.e-2
eta = physics.sea_level
if not isinstance(eta,list):
eta = [eta]
surface_limits = [eta[0]-surface_range,eta[0]+surface_range]
speed_limits = [0.0,speed_range]
wind_limits = [0, 55]
pressure_limits = [966, 1013]
friction_bounds = [0.01, 0.04]
vorticity_limits = [-1.e-2, 1.e-2]
land_bounds = [-10, 50]
# ==========================================================================
# Plot specifications
# ==========================================================================
# Limits for plots
regions = {'Full Domain': {"xlimits": [clawdata.lower[0], clawdata.upper[0]],
"ylimits": [clawdata.lower[1], clawdata.upper[1]],
"shrink": 1.0,
"figsize": [6.4, 4.8]},
'Tri-State Region': {"xlimits": [-74.5,-71.0],
"ylimits": [40.0,41.5],
"shrink": 1.0,
"figsize": [6.4, 4.8]},
'NYC': {"xlimits": [-74.2,-73.8],
"ylimits": [40.55,40.85],
"shrink": 1.0,
"figsize": [6.4, 4.8]}
}
for (name, region_dict) in regions.items():
# ========================================================================
# Surface Elevations
# ========================================================================
plotfigure = plotdata.new_plotfigure(name='Surface - %s' % name)
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Surface'
plotaxes.scaled = True
plotaxes.xlimits = region_dict['xlimits']
plotaxes.ylimits = region_dict['ylimits']
plotaxes.afteraxes = surge_afteraxes
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 =
# plotaxes.plotitem_dict['surface'].amr_patchedges_show =
# ========================================================================
# 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, Speeds',
type='each_gauge')
plotfigure.show = True
plotfigure.clf_each_gauge = True
# Surface and Topography
plotaxes = plotfigure.new_plotaxes()
# plotaxes.axescmd = 'subplot(121)'
try:
plotaxes.xlimits = [amrdata.t0, amrdata.tfinal]
except:
pass
plotaxes.ylimits = surface_limits
plotaxes.title = 'Surface'
# plotaxes.afteraxes = surgeplot.gauge_afteraxes
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 3
plotitem.plotstyle = 'b-'
# Speeds
plotaxes = plotfigure.new_plotaxes()
plotaxes.axescmd = 'subplot(122)'
try:
plotaxes.xlimits = [amrdata.t0, amrdata.tfinal]
except:
pass
plotaxes.ylimits = surface_limits
plotaxes.title = 'Momenta'
# plotaxes.afteraxes = surge.gauge_afteraxes
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 1
plotitem.plotstyle = 'r-'
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 2
plotitem.plotstyle = 'b-'
#-----------------------------------------
# Parameters used only when creating html and/or latex hardcopy
# e.g., via pyclaw.plotters.frametools.printframes:
plotdata.printfigs = True # print figures
plotdata.print_format = 'png' # file format
plotdata.print_framenos = 'all' # list of frames to print
plotdata.print_gaugenos = 'all' # list of gauges to print
plotdata.print_fignos = 'all' # list of figures to print
plotdata.html = True # create html files of plots?
plotdata.html_homelink = '../README.html' # pointer for top of index
plotdata.latex = True # create latex file of plots?
plotdata.latex_figsperline = 2 # layout of plots
plotdata.latex_framesperline = 1 # layout of plots
plotdata.latex_makepdf = False # also run pdflatex?
return plotdata
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):
""""""
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
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):
#--------------------------
"""
Specify what is to be plotted at each frame.
Input: plotdata, an instance of clawpack.visclaw.data.ClawPlotData.
Output: a modified version of plotdata.
"""
from clawpack.visclaw import colormaps, geoplot
from numpy import linspace
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.format = 'binary'
#plotdata.format = 'ascii'
# Load data from output
clawdata = clawutil.ClawInputData(2)
clawdata.read(os.path.join(plotdata.outdir, 'claw.data'))
ocean_xlimits = [clawdata.lower[0], clawdata.upper[0]]
ocean_ylimits = [clawdata.lower[1], clawdata.upper[1]]
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'))
probdata = clawutil.ClawData()
#probdata.read('setprob.data', force=True)
#theta_island = probdata.theta_island
# 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 mynewafteraxes(current_data):
addgauges(current_data)
bigfont(current_data)
#-----------------------------------------
# Some global KML settings
#-----------------------------------------
#plotdata.kml_publish = 'http://math.boisestate.edu/~calhoun/visclaw/GoogleEarth/kmz/' #public html
plotdata.kml_publish = None
plotdata.kml_name = "NYC Asteroid" # name appears in Google Earth display only
plotdata.kml_index_fname = "NYC_Asteroid" # name for .kmz and .kml files ["_GoogleEarth"]
# specify beginning of slider time. if not used, assumes Jan. 1 1970
plotdata.kml_starttime = [2115, 4, 29, 7, 32,
0] # Asteroid hits at 1:32AM, 4/29/2115 (UTC)
plotdata.kml_tz_offset = 6 # off set to UTC
# for todays date as the default use
kml_cmin = -0.005 #colorbar min and max
kml_cmax = 0.005
kml_dpi = 400 # only used if individual figures dpi not set
kml_cmap = geoplot.googleearth_lightblue
# kml_cmap = geoplot.googleearth_darkblue
# kml_cmap = geoplot.googleearth_transparent
# kml_cmap = geoplot.googleearth_white
def kml_colorbar(filename):
#cmin = -0.01
#cmax = 0.01
geoplot.kml_build_colorbar(filename, kml_cmap, kml_cmin, kml_cmax)
#-----------------------------------------
# Figure for pcolor plot for surface
#-----------------------------------------
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
#plotaxes.afteraxes = addgauges
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.show = True
#plotitem.plot_var = geoplot.surface
plotitem.plot_var = geoplot.surface_or_depth
#plotitem.plot_var = 0/1/2 or plot that entry into q instead of a function
plotitem.pcolor_cmap = geoplot.tsunami_colormap
plotitem.pcolor_cmin = -.8
plotitem.pcolor_cmax = .8
plotitem.add_colorbar = True
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.amr_patchedges_show = [0, 0, 0]
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.land
plotitem.show = True
# plotitem.pcolor_cmap = colormaps.all_white # to print better in B&W
plotitem.pcolor_cmap = geoplot.land_colors
#plotitem.pcolor_cmap = geoplot.googleearth_transparent
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0, 0, 0, 0, 0]
#plotitem.patchedges_show = 1
plotitem.amr_patchedges_show = [0, 0, 0]
#plotaxes.xlimits = [-85,-55]
#plotaxes.ylimits = [25,45]
plotaxes.xlimits = ocean_xlimits
plotaxes.ylimits = ocean_ylimits
#plotaxes.xlimits = [-75,-70]
#plotaxes.ylimits = [38,43]
# add contour lines of bathy if desired:
plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
plotitem.show = True
plotitem.plot_var = geoplot.topo
#plotitem.contour_levels = [-500,-250,-100, -50, 0, 50]
plotitem.contour_levels = linspace(-1000, -400, 3)
plotitem.amr_contour_colors = ['g'] # color on each level
#plotitem.kwargs = {'linestyles':'dashed','linewidths':2,'colors' : 'red' }
plotitem.kwargs = {
'linestyles': 'dashed',
'linewidths': 1,
'colors': 'magenta'
}
plotitem.amr_contour_show = [1, 1, 1]
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
#-----------------------------------------------------------
# Figure for KML files - Sea Surface Height
#----------------------------------------------------------
#plotfigure = plotdata.new_plotfigure(name='Sea Surface',figno=1)
#plotfigure.show = True
#plotfigure.use_for_kml = True
#plotfigure.kml_use_for_initial_view = True
# These overide any values set in the plotitems below
#plotfigure.kml_xlimits = [-80,-55]
#plotfigure.kml_ylimits = [25, 45]
# Resolution
#plotfigure.kml_dpi = 300
#plotfigure.kml_tile_images = False
def kml_colorbar_transparent(filename):
#cmin = -0.01
#cmax = 0.01
geoplot.kml_build_colorbar(filename, geoplot.googleearth_transparent,
kml_cmin, kml_cmax)
#plotfigure.kml_colorbar = kml_colorbar_transparent
# Set up for axes in this figure:
#plotaxes = plotfigure.new_plotaxes('kml')
#plotaxes.scaled = True
# Water
#plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
#plotitem.show = True
#plotitem.plot_var = geoplot.surface_or_depth
#plotitem.pcolor_cmap = geoplot.googleearth_transparent
#plotitem.pcolor_cmin = kml_cmin
#plotitem.pcolor_cmax = kml_cmax
#plotitem.amr_celledges_show = [0,0,0]
#plotitem.patchedges_show = 0
#plotfigure.kml_colorbar = kml_colorbar
#-----------------------------------------
# Figure for speeds
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Speeds', figno=10)
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes('pcolor')
plotaxes.title = 'Speed'
plotaxes.scaled = True
#def fixup(current_data):
# import pylab
# addgauges(current_data)
# t = current_data.t
# t = t / 3600. # hours
# pylab.title('Speed at %4.2f hours' % t, fontsize=20)
# pylab.xticks(fontsize=15)
# pylab.yticks(fontsize=15)
#plotaxes.afteraxes = fixup
def speed(current_data):
from pylab import where, sqrt
q = current_data.q
h = q[0, :]
dry_tol = 0.001
u = q[1, :] # this is just to initialize
v = q[2, :] # to correct size
s = 0 * q[2, :] # to correct size
nq = len(q[1, :])
[n, m] = h.shape
for ii in range(0, n):
for jj in range(0, m):
if h[ii, jj] > dry_tol:
u[ii, jj] = q[1, ii, jj] / h[ii, jj]
v[ii, jj] = q[2, ii, jj] / h[ii, jj]
s[ii,
jj] = sqrt(u[ii, jj] * u[ii, jj] + v[ii, jj] * v[ii, jj])
else:
u[ii, jj] = 0.
v[ii, jj] = 0.
s[ii, jj] = 0
#print("max of u = " + str(max(u)))
#u = where(h>dry_tol, q[1,:]/h, 0.)
#v = where(h>dry_tol, q[2,:]/h, 0.)
#s = sqrt(u**2 + v**2)
#s = sqrt(u*2+v*v) #try not dividing or using where
return s
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.show = False
plotitem.plot_var = speed
plotitem.pcolor_cmap = geoplot.tsunami_colormap
#plotitem.pcolor_cmap = \
# colormaps.make_colormap({0:[1,1,1],0.5:[0.5,0.5,1],1:[1,0.3,0.3]})
plotitem.pcolor_cmin = 0.
plotitem.pcolor_cmax = .10
plotitem.add_colorbar = True
plotitem.amr_celledges_show = [0, 0, 0]
#plotitem.patchedges_show = 1
plotitem.amr_patchedges_show = [0, 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 = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.patchedges_show = 0
plotaxes.xlimits = ocean_xlimits
plotaxes.ylimits = ocean_ylimits
#-----------------------------------------
# Figure for zoom around NYC
#-----------------------------------------
zoomWanted = True
if zoomWanted:
plotfigure = plotdata.new_plotfigure(name='Zoom1', figno=7)
# add another figure
#plotfigure.use_for_kml = True
#plotfigure.kml_use_for_initial_view = False
# These overide any values set in the plotitems below
#plotfigure.kml_xlimits = [-74.5, -73.5]
#plotfigure.kml_ylimits = [40.4,40.9]
# Resolution
#plotfigure.kml_dpi = 300
#plotfigure.kml_tile_images = True
#plotfigure.kml_colorbar = kml_colorbar # defined above
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes('zoom on nyc')
plotaxes.title = 'Surface elevation'
plotaxes.scaled = True
manhattan_island = -73.5
xisland, yisland = latlong(1600e3, manhattan_island, 40., Rearth)
#plotaxes.xlimits = [xisland-0.6, xisland+0.6]
#plotaxes.xlimits = [manhattan_island-1, manhattan_island+1]
#plotaxes.ylimits = [40.15,41.5]
plotaxes.xlimits = [-74.5, -72.5] # really zoom in on lower manhattan]
plotaxes.ylimits = [40.25, 41.5]
plotaxes.afteraxes = addgauges
def bigfont(current_data):
import pylab
t = current_data.t
pylab.title("Surface at t = %8.1f" % t, fontsize=20)
pylab.xticks(fontsize=15)
pylab.yticks(fontsize=15)
#plotaxes.afteraxes = bigfont
#plotaxes.afteraxes = mynewafteraxes # after axes functions mess with GE plots
# 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_cmap = kml_cmap
#plotitem.pcolor_cmin = kml_cmin # same as above
#plotitem.pcolor_cmax = kml_cmax
plotitem.pcolor_cmin = -.2
plotitem.pcolor_cmax = .2
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.show = False
plotitem.plot_var = geoplot.land
# plotitem.pcolor_cmap = colormaps.all_white # to print better in B&W
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, 0, 0]
plotitem.patchedges_show = 0
# contour lines:
plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
plotitem.show = False
plotitem.plot_var = geoplot.surface
plotitem.contour_levels = [-0.8, -0.4, 0.4, 0.8]
plotitem.amr_contour_colors = ['k'] # color on each level
plotitem.kwargs = {'linewidths': 1}
plotitem.amr_contour_show = [0, 0, 0, 1, 1]
plotitem.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 = linspace(-30, -10, 3)
plotitem.amr_contour_colors = ['m'] # color on each level
plotitem.kwargs = {'linestyles': 'dashed', 'linewidths': 1}
plotitem.amr_contour_show = [1, 1, 1]
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 = [0000, 6500]
#plotaxes.ylimits = [-.10, .15]
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')
def gaugetopo(current_data):
q = current_data.q
h = q[0, :]
eta = q[3, :]
topo = eta - h
return topo
def gaugedpress(current_data):
q = current_data.q
#dpress = (q[4,:] - 101300)/101300
dpress = q[4, :] # already output as relative: dp/amb_pr
return dpress
def gs(current_data):
q = current_data.q
# different than speed function because q is function of time, not
# x,y at the gauges.
from numpy import where, sqrt
h = q[0, :]
#print('shape of h ' + str(h.shape))
dry_tol = 0.001
u = where(h > dry_tol, q[1, :] / h, 0.)
v = where(h > dry_tol, q[2, :] / h, 0.)
ssq = sqrt(u * u + v * v)
#s = sqrt(u**2 + v**2)
s = sqrt(ssq)
return ssq
#plotitem.plot_var = gaugetopo
#plotitem.plotstyle = 'g-'
# Plot relative delta pressure as red curve:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = gaugedpress
plotitem.plotstyle = 'r-'
# add speed to this plot since cant get new one going
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = gs
plotitem.plotstyle = 'g-'
def add_zeroline(current_data):
from pylab import plot, legend
t = current_data.t
# legend(('surface','topography','dp'),loc='lower left')
legend(('surface', 'dp', 'speed'), loc='upper right')
#plot(t, 0*t, 'k')
plotaxes.afteraxes = add_zeroline
# -------------------------------
# Figure for speed at gauges
#--------------------------------
# plotfigure = plotdata.new_plotfigure(name='Speed at gauges', figno=310, \
# type='each_gauge')
#
#
# # Set up for axes in this figure:
# plotaxes = plotfigure.new_plotaxes()
# plotaxes.xlimits = 'auto'
# plotaxes.ylimits = 'auto'
# #plotaxes.xlimits = [0000, 7000]
# #plotaxes.ylimits = 'auto'
# plotaxes.title = 'Speed'
#
# # Plot surface as blue curve:
# plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
# #plotitem.plot_var = speed
# plotitem.plot_var = gs #gauge_speed
# plotitem.plotstyle = 'b-'
#
# plotfigure.show = True
#
#-----------------------------------------
# Figure for bathy alone
#-----------------------------------------
def bathy(current_data):
return current_data.aux[0, :, :]
plotfigure = plotdata.new_plotfigure(name='bathymetry', figno=3)
plotaxes = plotfigure.new_plotaxes('pcolor')
plotaxes.title = 'Bathymetry'
plotaxes.scaled = True
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = bathy
plotitem.pcolor_cmin = -3000.00
plotitem.pcolor_cmax = 500
plotitem.add_colorbar = True
plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
plotitem.show = False
plotitem.plot_var = geoplot.topo
plotitem.contour_levels = linspace(-2000, 2000, 21)
plotitem.amr_contour_colors = ['k'] # color on each level
#plotitem.contour_levels = [-1000 -500,-250,-100, -5, 5]
#-----------------------------------------
# Figure for grids alone
#-----------------------------------------
#plotfigure = plotdata.new_plotfigure(name='grids', 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 = 'grids'
#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 = [0,0,0]
def normalized_pressure(current_data):
pressure_index = 6 #7 in fortran, but python is 0 based
return current_data.aux[
pressure_index, :, :] / surge_data.ambient_pressure
# Pressure field
plotfigure = plotdata.new_plotfigure(name='Pressure', figno=33)
plotfigure.show = True
plotaxes = plotfigure.new_plotaxes('normalized_pressure')
plotaxes.xlimits = ocean_xlimits
plotaxes.ylimits = ocean_ylimits
plotaxes.title = 'Pressure Field'
plotaxes.scaled = True
plotaxes.afteraxes = addgauges
pressure_limits = [.99, 1.10]
#pressure_limits = [.999*surge_data.ambient_pressure / 100.0,
# 1.001 * surge_data.ambient_pressure / 100.0]
#pressure_limits = [-.000001*surge_data.ambient_pressure,
# .000001 * surge_data.ambient_pressure]
surgeplot.add_pressure(plotaxes, bounds=pressure_limits)
surgeplot.add_land(plotaxes)
#plotitem = plotaxes.new_plotitem(plot_type='2d_patch')
plotitem = plotaxes.plotitem_dict['pressure']
plotitem.show = False
plotitem.plot_var = normalized_pressure
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.amr_patchedges_show = [0, 0, 0]
plotaxes.plotitem_dict['land'].amr_celledges_show = [0, 0, 0]
plotaxes.plotitem_dict['land'].amr_patchedges_show = [0, 0, 0]
#-----------------------------------------
# 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_framenos = [30,50,70] # list of frames to print
#plotdata.print_framenos = [1] # list of frames to print
plotdata.print_gaugenos = 'all' # list of gauges to print
#plotdata.print_fignos = [0,7,10,33,300] # list of figures to print
#plotdata.print_fignos = [0,7,10,300] # list of figures to print
plotdata.print_fignos = [0, 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 = 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.kml = False
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):
#--------------------------
"""
Specify what is to be plotted at each frame.
Input: plotdata, an instance of pyclaw.plotters.data.ClawPlotData.
Output: a modified version of plotdata.
"""
amrdata = clawdata.ClawInputData(2)
amrdata.read(os.path.join(plotdata.outdir, 'claw.data'))
plotdata.clearfigures() # clear any old figures,axes,items data
def set_drytol(current_data):
# The drytol parameter is used in masking land and water and
# affects what color map is used for cells with small water depth h.
# The cell will be plotted as dry if h < drytol.
# The best value to use often depends on the application and can
# be set here (measured in meters):
current_data.user['drytol'] = 1.e-2
# # Square island
# current_data.user['island_x'] = [-52e3, -52e3, 52e3, 52e3, -52e3]
# current_data.user['island_y'] = [-52e3, 52e3, 52e3, -52e3, -52e3]
# Strip island
current_data.user['island_x'] = [-52e3, -52e3, 52e3, 52e3, -52e3]
current_data.user['island_y'] = [-102e3, 102e3, 102e3, -102e3, -102e3]
plotdata.beforeframe = set_drytol
# To plot gauge locations on pcolor or contour plot, use this as
# an afteraxis function:
# surface_range = 1e-4
# speed_max = 1.e-5
surface_range = 1e-2
speed_max = 1.e-2
xlimits = [amrdata.lower[0], amrdata.upper[0]]
ylimits = [amrdata.lower[1], amrdata.upper[1]]
surface_limits = [-surface_range, surface_range]
speed_limits = [0.0, speed_max]
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 after_axes(cd):
surge.days_figure_title(cd)
addgauges(cd)
plt.plot(cd.user['island_x'], cd.user['island_y'], 'k--')
def after_axes_slice(cd, y_bounds=[-1, 1]):
surge.days_figure_title(cd)
for x in cd.user['island_x']:
plt.plot([x, x], y_bounds, 'k--')
#-----------------------------------------
# Figure for pcolor plot
#-----------------------------------------
# Surface
plotfigure = plotdata.new_plotfigure(name='Surface', figno=0)
plotaxes = plotfigure.new_plotaxes('pcolor')
plotaxes.title = 'Surface'
plotaxes.scaled = True
plotaxes.xlimits = xlimits
plotaxes.ylimits = ylimits
plotaxes.afteraxes = after_axes
surge.add_surface_elevation(plotaxes, bounds=surface_limits)
surge.add_land(plotaxes)
# plotaxes.plotitem_dict['surface'].amr_celledges_show = [1,1,1,1]
# plotaxes.plotitem_dict['land'].amr_celledges_show = [1,1,1,1]
# Speed
plotfigure = plotdata.new_plotfigure(name='Speed', figno=1)
plotaxes = plotfigure.new_plotaxes('pcolor')
plotaxes.title = 'Currents'
plotaxes.scaled = True
plotaxes.xlimits = xlimits
plotaxes.ylimits = ylimits
plotaxes.afteraxes = after_axes
surge.add_speed(plotaxes, bounds=speed_limits)
surge.add_land(plotaxes)
# plotaxes.plotitem_dict['speed'].amr_celledges_show = [1,1,1,1]
# plotaxes.plotitem_dict['land'].amr_celledges_show = [1,1,1,1]
# ========================================================================
# Water Velocity Components - Entire Gulf
# ========================================================================
plotfigure = plotdata.new_plotfigure(
name='Velocity Components - Entire Domain', figno=2)
plotfigure.kwargs['figsize'] = (16, 6)
plotfigure.show = False
# X-Component
plotaxes = plotfigure.new_plotaxes()
plotaxes.axescmd = "subplot(121)"
plotaxes.title = 'Velocity, X-Component'
plotaxes.scaled = True
plotaxes.xlimits = xlimits
plotaxes.ylimits = ylimits
plotaxes.afteraxes = after_axes
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = surge.water_u
plotitem.pcolor_cmap = colormaps.make_colormap({
1.0: 'r',
0.5: 'w',
0.0: 'b'
})
plotitem.pcolor_cmin = -speed_limits[1]
plotitem.pcolor_cmax = speed_limits[1]
plotitem.add_colorbar = True
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.amr_patchedges_show = [0, 0, 0]
surge.add_land(plotaxes)
# Y-Component
plotaxes = plotfigure.new_plotaxes()
plotaxes.axescmd = "subplot(122)"
plotaxes.title = 'Velocity, Y-Component'
plotaxes.scaled = True
plotaxes.xlimits = xlimits
plotaxes.ylimits = ylimits
plotaxes.afteraxes = after_axes
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = surge.water_v
plotitem.pcolor_cmap = colormaps.make_colormap({
1.0: 'r',
0.5: 'w',
0.0: 'b'
})
plotitem.pcolor_cmin = -speed_limits[1]
plotitem.pcolor_cmax = speed_limits[1]
plotitem.add_colorbar = True
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.amr_patchedges_show = [0, 0, 0]
surge.add_land(plotaxes)
# ========================================================================
# Water Momenta Components
# ========================================================================
plotfigure = plotdata.new_plotfigure(
name='Momentum Components - Entire Domain', figno=3)
plotfigure.kwargs['figsize'] = (16, 6)
plotfigure.show = False
# X-Component
plotaxes = plotfigure.new_plotaxes()
plotaxes.axescmd = "subplot(121)"
plotaxes.title = 'Momentum, X-Component'
plotaxes.scaled = True
plotaxes.xlimits = xlimits
plotaxes.ylimits = ylimits
plotaxes.afteraxes = after_axes
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = 1
plotitem.pcolor_cmap = colormaps.make_colormap({
1.0: 'r',
0.5: 'w',
0.0: 'b'
})
plotitem.pcolor_cmin = -speed_limits[1] * 100.0
plotitem.pcolor_cmax = speed_limits[1] * 100.0
plotitem.add_colorbar = True
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.amr_patchedges_show = [0, 0, 0]
surge.add_land(plotaxes)
# Y-Component
plotaxes = plotfigure.new_plotaxes()
plotaxes.axescmd = "subplot(122)"
plotaxes.title = 'Momentum, Y-Component'
plotaxes.scaled = True
plotaxes.xlimits = xlimits
plotaxes.ylimits = ylimits
plotaxes.afteraxes = after_axes
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = 2
plotitem.pcolor_cmap = colormaps.make_colormap({
1.0: 'r',
0.5: 'w',
0.0: 'b'
})
plotitem.pcolor_cmin = -speed_limits[1] * 100.0
plotitem.pcolor_cmax = speed_limits[1] * 100.0
plotitem.add_colorbar = True
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.amr_patchedges_show = [0, 0, 0]
surge.add_land(plotaxes)
# ============
# Topography
# ============
plotfigure = plotdata.new_plotfigure(name="Topography")
plotfigure.show = False
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = "Topography"
plotaxes.scaled = True
plotaxes.xlimits = xlimits
plotaxes.ylimits = ylimits
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.topo
cmap = colormaps.make_colormap({
-1: [0.3, 0.2, 0.1],
-0.00001: [0.95, 0.9, 0.7],
0.00001: [.5, .7, 0],
1: [.2, .5, .2]
})
plotitem.pcolor_cmap = cmap
plotitem.pcolor_cmin = -100.0
plotitem.pcolor_cmax = 0.0
plotitem.add_colorbar = True
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.amr_patchedges_show = [0, 0, 0]
# =====================
# Slice through y = 0
# =====================
slice_index = 3
def slice_surface(cd):
return cd.x[:, slice_index], cd.q[3, :, slice_index]
def slice_momentum(cd):
return cd.x[:, slice_index], cd.q[1, :, slice_index]
def slice_velocity(cd):
u = cd.q[1, :, slice_index] / cd.q[0, :, slice_index]
return cd.x[:, slice_index], u
plotfigure = plotdata.new_plotfigure(name="Slice eta, y=0")
plotfigure.show = True
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = "Surface Slice y = 0"
plotaxes.xlimits = xlimits
plotaxes.ylimits = surface_range
plotaxes.afteraxes = lambda cd: after_axes_slice(cd, surface_limits)
plotitem = plotaxes.new_plotitem(plot_type="1d_from_2d_data")
plotitem.map_2d_to_1d = slice_surface
plotitem.plot_var = 3
plotitem.plotstyle = 'k-o'
plotitem.show = True
plotfigure = plotdata.new_plotfigure(name="Slice u, y=0")
plotfigure.show = True
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = "Velocity-x Slice y = 0"
plotaxes.xlimits = xlimits
plotaxes.ylimits = [-speed_limits[1], speed_limits[1]]
plotaxes.afteraxes = lambda cd: after_axes_slice(
cd, [-speed_limits[1], speed_limits[1]])
plotitem = plotaxes.new_plotitem(plot_type="1d_from_2d_data")
plotitem.map_2d_to_1d = slice_velocity
plotitem.plot_var = 1
plotitem.plotstyle = 'k-o'
plotitem.show = True
plotfigure = plotdata.new_plotfigure(name="Slice hu, y=0")
plotfigure.show = True
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = "hu Slice y = 0"
plotaxes.xlimits = xlimits
momentum_limits = [-speed_limits[1] * 1000.0, speed_limits[1] * 1000.0]
plotaxes.ylimits = momentum_limits
plotaxes.afteraxes = lambda cd: after_axes_slice(cd, momentum_limits)
plotitem = plotaxes.new_plotitem(plot_type="1d_from_2d_data")
plotitem.map_2d_to_1d = slice_momentum
plotitem.plot_var = 1
plotitem.plotstyle = 'k-o'
plotitem.show = True
#-----------------------------------------
# Figures for gauges
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Gauge Surface', figno=300, \
type='each_gauge')
plotfigure.clf_each_gauge = True
def gauge_afteraxes(cd, label=None):
surge.gauge_afteraxes(cd)
plt.ylabel(label)
def gaugetopo(current_data):
q = current_data.q
h = q[0, :]
eta = q[3, :]
topo = eta - h
return topo
# Surface
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = 'auto'
plotaxes.ylimits = 'auto'
plotaxes.afteraxes = lambda cd: gauge_afteraxes(cd,
label='Surface Height (m)')
plotaxes.title = 'Surface'
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 3
plotitem.plotstyle = 'b-'
try:
plotaxes.xlimits = [amrdata.t0, amrdata.tfinal]
except:
pass
# Momenta
plotfigure = plotdata.new_plotfigure(name='Gauge X-Momentum', figno=301, \
type='each_gauge')
plotfigure.clf_each_gauge = True
plotaxes = plotfigure.new_plotaxes()
plotaxes.afteraxes = lambda cd: gauge_afteraxes(
cd, label=r'X-Momentum ($m/s^2$)')
plotaxes.xlimits = 'auto'
plotaxes.ylimits = 'auto'
plotaxes.title = 'X Momentum'
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.show = True
plotitem.plot_var = 1
try:
plotaxes.xlimits = [amrdata.t0, amrdata.tfinal]
except:
pass
plotfigure = plotdata.new_plotfigure(name='Gauge Y-Momentum', figno=302, \
type='each_gauge')
plotfigure.clf_each_gauge = True
plotaxes = plotfigure.new_plotaxes()
plotaxes.afteraxes = lambda cd: gauge_afteraxes(
cd, label=r'Y-Momentum ($m/s^2$)')
plotaxes.xlimits = 'auto'
plotaxes.ylimits = 'auto'
plotaxes.title = 'Y Momentum'
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.show = True
plotitem.plot_var = 2
try:
plotaxes.xlimits = [amrdata.t0, amrdata.tfinal]
except:
pass
#-----------------------------------------
# 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(0, 36, 4) # list of frames to print
plotdata.print_gaugenos = [1, 2, 3] # list of gauges to print
plotdata.print_fignos = 'all' # list of figures to print
plotdata.html = True # create html files of plots?
plotdata.html_homelink = '../README.html' # pointer for top of index
plotdata.latex = True # create latex file of plots?
plotdata.latex_figsperline = 2 # layout of plots
plotdata.latex_framesperline = 1 # layout of plots
plotdata.latex_makepdf = False # also run pdflatex?
plotdata.format = 'ascii' # Format of output
# plotdata.format = 'netcdf'
return plotdata
def setplot(plotdata):
r"""Setplot function for surge plotting"""
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.format = 'binary'
fig_num_counter = surge.figure_counter()
# Load data from output
clawdata = clawutil.ClawInputData(2)
clawdata.read(os.path.join(plotdata.outdir, 'claw.data'))
amrdata = amrclaw.AmrclawInputData(clawdata)
amrdata.read(os.path.join(plotdata.outdir, 'amr.data'))
physics = geodata.GeoClawData()
physics.read(os.path.join(plotdata.outdir, 'geoclaw.data'))
surge_data = geodata.SurgeData()
surge_data.read(os.path.join(plotdata.outdir, 'surge.data'))
friction_data = geodata.FrictionData()
friction_data.read(os.path.join(plotdata.outdir, 'friction.data'))
# Load storm track
track = surge.track_data(os.path.join(plotdata.outdir, 'fort.track'))
# Calculate landfall time, off by a day, maybe leap year issue?
if storm_num == 1:
# Storm 1
landfall_dt = datetime.datetime(1997, 11, 15, 3) - datetime.datetime(
1997, 1, 1, 0)
elif storm_num == 2:
# Storm 2
landfall_dt = datetime.datetime(2008, 12, 17, 0) - datetime.datetime(
2008, 1, 1, 0)
landfall = (landfall_dt.days) * 24.0 * 60**2 + landfall_dt.seconds
# Set afteraxes function
surge_afteraxes = lambda cd: surge.surge_afteraxes(
cd, track, landfall, plot_direction=False)
# Color limits
surface_range = 5.0
speed_range = 3.0
eta = physics.sea_level
if not isinstance(eta, list):
eta = [eta]
surface_limits = [-5.0, 5.0]
# surface_contours = numpy.linspace(-surface_range, surface_range,11)
surface_contours = [
-5, -4.5, -4, -3.5, -3, -2.5, -2, -1.5, -1, -0.5, 0.5, 1, 1.5, 2, 2.5,
3, 3.5, 4, 4.5, 5
]
surface_ticks = [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5]
surface_labels = [str(value) for value in surface_ticks]
speed_limits = [0.0, speed_range]
speed_contours = numpy.linspace(0.0, speed_range, 13)
speed_ticks = [0, 1, 2, 3]
speed_labels = [str(value) for value in speed_ticks]
# wind_limits = [0,64]
wind_limits = [0, 50]
# wind_limits = [-0.002,0.002]
pressure_limits = [935, 1013]
friction_bounds = [0.01, 0.04]
# vorticity_limits = [-1.e-2,1.e-2]
# def pcolor_afteraxes(current_data):
# surge_afteraxes(current_data)
# surge.gauge_locations(current_data,gaugenos=[6])
def afteraxes(current_data):
surge_afteraxes(current_data)
def add_custom_colorbar_ticks_to_axes(axes,
item_name,
ticks,
tick_labels=None):
axes.plotitem_dict[item_name].colorbar_ticks = ticks
axes.plotitem_dict[item_name].colorbar_tick_labels = tick_labels
# ==========================================================================
# ==========================================================================
# Plot specifications
# ==========================================================================
# ==========================================================================
regions = {
"Full Domain (Grids)": [[clawdata.lower[0], clawdata.upper[0]],
[clawdata.lower[1], clawdata.upper[1]],
[1, 1, 1, 1, 1, 1, 1]],
"Mumbai Regio (Grids)": [[70, 75], [17, 22], [1, 1, 1, 1, 1, 1, 1]],
"Mumbai (Grids)": [[72.6, 73.15], [18.80, 19.25],
[1, 1, 1, 1, 1, 1, 1]],
"Full Domain (No Grids)": [[clawdata.lower[0], clawdata.upper[0]],
[clawdata.lower[1], clawdata.upper[1]],
[0, 0, 0, 0, 0, 0, 0]],
"Mumbai Region (No Grids)": [[70, 75], [17, 22], [0, 0, 0, 0, 0, 0,
0]],
"Mumbai (No Grids)": [[72.6, 73.15], [18.80, 19.25],
[0, 0, 0, 0, 0, 0, 0]]
}
full_xlimits = regions['Full Domain (Grids)'][0]
full_ylimits = regions['Full Domain (Grids)'][1]
for (name, region_data) in regions.iteritems():
#
# Surface
#
plotfigure = plotdata.new_plotfigure(
name='Surface - %s' % name, figno=fig_num_counter.get_counter())
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Surface'
plotaxes.scaled = True
plotaxes.xlimits = region_data[0]
plotaxes.ylimits = region_data[1]
plotaxes.afteraxes = afteraxes
surge.add_surface_elevation(plotaxes,
plot_type='pcolor',
bounds=surface_limits)
# surge.add_surface_elevation(plotaxes, plot_type='contourf',
# contours=surface_contours)
surge.add_land(plotaxes, topo_min=-10.0, topo_max=5.0)
surge.add_bathy_contours(plotaxes)
if article:
plotaxes.plotitem_dict['surface'].add_colorbar = False
else:
add_custom_colorbar_ticks_to_axes(plotaxes, 'surface',
surface_ticks, surface_labels)
plotaxes.plotitem_dict['land'].amr_patchedges_show = region_data[2]
plotaxes.plotitem_dict['surface'].amr_patchedges_show = region_data[2]
#
# Water Speed
#
plotfigure = plotdata.new_plotfigure(
name='Currents - %s' % name, figno=fig_num_counter.get_counter())
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Currents'
plotaxes.scaled = True
plotaxes.xlimits = region_data[0]
plotaxes.ylimits = region_data[1]
plotaxes.afteraxes = afteraxes
# Speed
surge.add_speed(plotaxes, plot_type='pcolor', bounds=speed_limits)
# surge.add_speed(plotaxes, plot_type='contourf', contours=speed_contours)
if article:
plotaxes.plotitem_dict['speed'].add_colorbar = False
else:
add_custom_colorbar_ticks_to_axes(plotaxes, 'speed', speed_ticks,
speed_labels)
# Land
surge.add_land(plotaxes, topo_min=-10.0, topo_max=5.0)
plotaxes.plotitem_dict['speed'].amr_patchedges_show = region_data[2]
plotaxes.plotitem_dict['land'].amr_patchedges_show = region_data[2]
#
# Friction field
#
plotfigure = plotdata.new_plotfigure(name='Friction',
figno=fig_num_counter.get_counter())
plotfigure.show = friction_data.variable_friction and False
def friction_after_axes(cd):
plt.subplots_adjust(left=0.08, bottom=0.04, right=0.97, top=0.96)
plt.title(r"Manning's $n$ Coefficient")
# surge_afteraxes(cd)
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = full_xlimits
plotaxes.ylimits = full_ylimits
# plotaxes.title = "Manning's N Coefficient"
plotaxes.afteraxes = friction_after_axes
plotaxes.scaled = True
surge.add_friction(plotaxes, bounds=friction_bounds)
plotaxes.plotitem_dict['friction'].amr_patchedges_show = [
0, 0, 0, 0, 0, 0, 0
]
plotaxes.plotitem_dict['friction'].colorbar_label = "$n$"
# ==========================
# Hurricane Forcing fields
# ==========================
grids = [[0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1]]
label = ["(No Grids)", "(Grids)"]
for i in xrange(2):
# Pressure field
plotfigure = plotdata.new_plotfigure(
name='Pressure %s' % label[i], figno=fig_num_counter.get_counter())
plotfigure.show = surge_data.pressure_forcing and True
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = full_xlimits
plotaxes.ylimits = full_ylimits
plotaxes.title = "Pressure Field"
plotaxes.afteraxes = afteraxes
plotaxes.scaled = True
surge.add_pressure(plotaxes, bounds=pressure_limits)
surge.add_land(plotaxes)
plotaxes.plotitem_dict['pressure'].amr_patchedges_show = grids[i]
plotaxes.plotitem_dict['land'].amr_patchedges_show = grids[i]
# Wind field
plotfigure = plotdata.new_plotfigure(
name='Wind Speed %s' % label[i],
figno=fig_num_counter.get_counter())
plotfigure.show = surge_data.wind_forcing and True
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = full_xlimits
plotaxes.ylimits = full_ylimits
plotaxes.title = "Wind Field"
plotaxes.afteraxes = afteraxes
plotaxes.scaled = True
surge.add_wind(plotaxes, bounds=wind_limits, plot_type='pcolor')
surge.add_land(plotaxes)
plotaxes.plotitem_dict['wind'].amr_patchedges_show = grids[i]
plotaxes.plotitem_dict['land'].amr_patchedges_show = grids[i]
# =====================
# Gauge Location Plot
# =====================
gauge_xlimits = regions["Mumbai (Grids)"][0]
gauge_ylimits = regions["Mumbai (Grids)"][1]
# gauge_location_shrink = 0.75
def gauge_after_axes(cd):
# plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.97)
surge_afteraxes(cd)
# import pdb; pdb.set_trace()
surge.gauge_locations(cd, gaugenos=[1, 2, 3])
plt.title("Gauge Locations")
plotfigure = plotdata.new_plotfigure(name='Gauge Locations',
figno=fig_num_counter.get_counter())
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Surface'
plotaxes.scaled = True
plotaxes.xlimits = gauge_xlimits
plotaxes.ylimits = gauge_ylimits
plotaxes.afteraxes = gauge_after_axes
surge.add_surface_elevation(plotaxes,
plot_type='pcolor',
bounds=surface_limits)
# surge.plot.add_surface_elevation(plotaxes, plot_type="contourf")
add_custom_colorbar_ticks_to_axes(plotaxes, 'surface', surface_ticks,
surface_labels)
surge.add_land(plotaxes)
# plotaxes.plotitem_dict['surface'].amr_patchedges_show = [0,0,0,0,0,0,0]
# plotaxes.plotitem_dict['surface'].add_colorbar = False
# plotaxes.plotitem_dict['surface'].pcolor_cmap = plt.get_cmap('jet')
# plotaxes.plotitem_dict['surface'].pcolor_cmap = plt.get_cmap('gist_yarg')
# plotaxes.plotitem_dict['surface'].pcolor_cmin = 0.0
# plotaxes.plotitem_dict['surface'].pcolor_cmax = 5.0
plotaxes.plotitem_dict['surface'].amr_patchedges_show = [
0, 0, 0, 0, 0, 0, 0
]
plotaxes.plotitem_dict['land'].amr_patchedges_show = [0, 0, 0, 0, 0, 0, 0]
# ========================================================================
# Figures for gauges
# ========================================================================
plotfigure = plotdata.new_plotfigure(name='Surface & topo', figno=300, \
type='each_gauge')
plotfigure.show = True
plotfigure.clf_each_gauge = True
# plotfigure.kwargs['figsize'] = (16,10)
def gauge_after_axes(cd):
if cd.gaugeno in [1, 2, 3]:
axes = plt.gca()
# Add GeoClaw gauge data
geoclaw_gauge = cd.gaugesoln
axes.plot(
seconds2days(geoclaw_gauge.t -
date2seconds(gauge_landfall[1])),
geoclaw_gauge.q[3, :], 'b--')
# Fix up plot
axes.set_title('Station %s' % cd.gaugeno)
axes.set_xlabel('Days relative to landfall')
axes.set_ylabel('Surface (m)')
axes.set_xlim([-2, 1])
axes.set_ylim([-1, 5])
axes.set_xticks([-2, -1, 0, 1])
axes.set_xticklabels([r"$-2$", r"$-1$", r"$0$", r"$1$"])
axes.grid(True)
axes.legend()
plt.hold(False)
# surge.gauge_afteraxes(cd)
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = [-2, 1]
# plotaxes.xlabel = "Days from landfall"
# plotaxes.ylabel = "Surface (m)"
plotaxes.ylimits = [-1, 5]
plotaxes.title = 'Surface'
plotaxes.afteraxes = gauge_after_axes
# Plot surface as blue curve:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 3
plotitem.plotstyle = 'b-'
#-----------------------------------------
# Parameters used only when creating html and/or latex hardcopy
# e.g., via pyclaw.plotters.frametools.printframes:
if article:
plotdata.printfigs = True # print figures
plotdata.print_format = 'png' # file format
plotdata.print_framenos = [54, 60, 66, 72, 78,
84] # list of frames to print
plotdata.print_gaugenos = [1, 2, 3] # list of gauges to print
plotdata.print_fignos = [4, 5, 6, 7, 10, 3,
300] # list of figures to print
plotdata.html = True # create html files of plots?
plotdata.html_homelink = '../README.html' # pointer for top of index
plotdata.latex = False # create latex file of plots?
plotdata.latex_figsperline = 2 # layout of plots
plotdata.latex_framesperline = 1 # layout of plots
plotdata.latex_makepdf = False # also run pdflatex?
else:
plotdata.printfigs = True # print figures
plotdata.print_format = 'png' # file format
plotdata.print_framenos = 'all' # list of frames to print
plotdata.print_gaugenos = [1, 2, 3] # list of gauges to print
plotdata.print_fignos = 'all' # list of figures to print
plotdata.html = True # create html files of plots?
plotdata.html_homelink = '../README.html' # pointer for top of index
plotdata.latex = True # create latex file of plots?
plotdata.latex_figsperline = 2 # layout of plots
plotdata.latex_framesperline = 1 # layout of plots
plotdata.latex_makepdf = False # also run pdflatex?
return plotdata
def setplot(plotdata):
#--------------------------
"""
Specify what is to be plotted at each frame.
Input: plotdata, an instance of pyclaw.plotters.data.ClawPlotData.
Output: a modified version of plotdata.
"""
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.format = 'binary'
# Import useful run data
clawdata = data.ClawInputData(2)
clawdata.read(os.path.join(plotdata.outdir, 'claw.data'))
dtopo_data = clawpack.geoclaw.data.DTopoData()
dtopo_data.read(os.path.join(plotdata.outdir, 'dtopo.data'))
friction_data = clawpack.geoclaw.surge.data.FrictionData()
friction_data.read(os.path.join(plotdata.outdir, 'friction.data'))
# To plot gauge locations on pcolor or contour plot, use this as
# an afteraxis function:
def addgauges(current_data):
gaugetools.plot_gauge_locations(current_data.plotdata, \
gaugenos=[21401, 21413, 21418, 21419], format_string='ko', add_labels=True)
#-----------------------------------------
# Figure for pcolor plot
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='full domain', 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)
#pylab.plot([205],[19.7],'wo',markersize=10)
#pylab.text(200,22,'Hilo',color='k',fontsize=25)
pylab.plot([139.7],[35.6],'yo',markersize=5)
pylab.text(133.3,36.5,'Sendai',color='y',fontsize=15)
addgauges(current_data)
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.make_colormap({1.0:'r',0.5:'w',0.0:'b'})
plotitem.pcolor_cmin = -0.1
plotitem.pcolor_cmax = 0.1
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 = [138,155]
#plotaxes.ylimits = [25,42]
# 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 = numpy.linspace(-5000,-100,6)
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 zoom plot
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Zoom', figno=1)
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes('pcolor')
plotaxes.title = 'Surface'
plotaxes.scaled = True
plotaxes.xlimits = [140,146]
plotaxes.ylimits = [35,41]
# 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.blue_white_red
plotitem.pcolor_cmin = -10.0
plotitem.pcolor_cmax = 10.0
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
plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
#plotitem.show = False
plotitem.plot_var = geoplot.surface
plotitem.contour_levels = numpy.linspace(-13,13,14)
plotitem.amr_contour_colors = ['k'] # color on each level
#plotitem.kwargs = {'linestyles':'solid','linewidths':2}
plotitem.amr_contour_show = [0,0,0,1]
plotitem.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 = numpy.linspace(-6,6,13)
plotitem.amr_contour_colors = ['k'] # color on each level
#plotitem.kwargs = {'linestyles':'solid','linewidths':2}
plotitem.amr_contour_show = [0,0,0,1]
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 = 'auto'
plotaxes.title = 'Surface'
# Plot surface as blue curve:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 3
plotitem.plotstyle = 'b-'
plotitem.kwargs = {'linewidth':2}
# Plot comparison as red curve:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.show = (dart_data_path is not None)
# plotitem.outdir = dart_data_path
plotitem.plot_var = 3
plotitem.plotstyle = 'r-'
plotitem.kwargs = {'linewidth':2}
# 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):
t = current_data.t
plt.plot([0,10800],[0,0],'k')
def plot_dart(current_data):
import pylab
gaugeno = current_data.gaugeno
try:
dart = dartdata[gaugeno]
pylab.plot(dart[:,0],dart[:,1],'k')
pylab.legend(['GeoClaw','DART data'])
except:
if dart_data_path is None:
pylab.legend(['GeoClaw'])
else:
pylab.legend(['GeoClaw','dart_data_path'])
add_zeroline(current_data)
try:
pylab.xlim(tlimits[gaugeno])
except:
pass
plotaxes.afteraxes = plot_dart
# =====================
# Plot Friction Field
# =====================
plotfigure = plotdata.new_plotfigure('Friction')
plotfigure.show = friction_data.variable_friction and True
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = 'auto'
plotaxes.ylimits = 'auto'
plotaxes.title = r"Manning's $N$ Coefficient"
plotaxes.scaled = True
plotaxes.afteraxes = addgauges
plotitem = plotaxes.new_plotitem(name='friction',plot_type='2d_pcolor')
plotitem.plot_var = lambda cd: cd.aux[3,:,:]
plotitem.pcolor_cmap = plt.get_cmap('YlOrRd')
plotitem.colorbar_shrink = 0.9
plotitem.pcolor_cmin = 0.01
plotitem.pcolor_cmax = 0.1
plotitem.add_colorbar = True
plotitem.colorbar_label = "Manning's-$n$ Coefficient"
plotitem.amr_celledges_show = [0,0,0]
plotitem.amr_patchedges_show = [0,0,0,0,0,0,0]
plotitem.colorbar_label = r"$n$"
# ==========================
# Plot Fault Configuration
# ==========================
def plot_dtopo(plotdata):
print "Creating html for other figures."
with open('fault.html', 'w') as out_html:
out_html.write("<html>\n")
out_html.write(" <header>\n")
out_html.write(" <title>Fault Specification</title>\n")
out_html.write(" </header>\n")
out_html.write(" <body>\n")
out_html.write(" <h1>Fault Specification</h1>\n")
out_html.write(" <img src='fault.png'>\n")
out_html.write(" <img src='uplift.png'>\n")
out_html.write(" </body>\n")
out_html.write("</html>")
# Need to save this in the run_faults section, cannot do yet
# fault = dtopotools.Fault(path="./fault_params.txt")
# fig = plt.figure()
# axes = fig.add_subplot(1, 1, 1)
# fault.plot_subfaults(axes, slip_color=True, cmin_slip=0.0,
# cmax_slip=120.0)
# fig.savefig('fault.png')
dtopo = dtopotools.DTopography(path=dtopo_data.dtopofiles[0][3])
fig = plt.figure()
axes = fig.add_subplot(1, 1, 1)
dtopo.plot_dZ_colors(t=1.0, axes=axes)
fig.savefig("uplift.png")
plotfigure = plotdata.new_otherfigure("Fault", "fault.html")
plotfigure.makefig = plot_dtopo
#-----------------------------------------
# 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):
#--------------------------
"""
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
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.format = "binary"
plotdata.verbose = False
# 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)
#-----------------------------------------
# Some global kml flags
#-----------------------------------------
plotdata.kml_name = "SouthChinaSea"
#plotdata.kml_starttime = [2010,2,27,6,34,0] # Time of event in UTC [None]
#plotdata.kml_tz_offset = 3 # Time zone offset (in hours) of event. [None]
plotdata.kml_index_fname = "SouthChinaSea" # name for .kmz and .kml files ["_GoogleEarth"]
# Set to a URL where KMZ file will be published.
# plotdata.kml_publish = None
# Colormap range
cmin = -1.2
cmax = 1.2
cmap = geoplot.googleearth_transparent
#-----------------------------------------------------------
# Figure for KML files
#----------------------------------------------------------
plotfigure = plotdata.new_plotfigure(name='Sea Surface',figno=1)
plotfigure.show = True
plotfigure.use_for_kml = True
plotfigure.kml_use_for_initial_view = True
# These override any axes limits set below in plotaxes
clawdata = clawutil.ClawInputData(2)
clawdata.read(os.path.join(plotdata.outdir,'claw.data'))
#ocean_xlimits = [clawdata.lower[0],clawdata.upper[0]]
#ocean_ylimits = [clawdata.lower[1],clawdata.upper[1]]
# 99 had roundoff and bombed!
ocean_xlimits = [99.001,125]
ocean_ylimits = [0,24]
plotfigure.kml_xlimits = ocean_xlimits
plotfigure.kml_ylimits = ocean_ylimits
# Resolution (should be consistent with data)
# Refinement levels : [2,6]; max level = 3; num_cells = [30,30]
# rcl : resolution of the coarsest level in this figure
#rcl = 100 # rcl*figsize = num_cells
rcl = 50 # rcl*figsize = num_cells
plotfigure.kml_figsize = [7.8,7.2]
# replace 4 and 6 wtha ctual refinement ratios
# then if still be too big (> 32K) then halve it
#plotfigure.kml_dpi = rcl*4*6 # Resolve all three levels
plotfigure.kml_dpi = rcl*1 # Resolve all three levels
plotfigure.kml_tile_images = True # Tile images for faster loading. Requires GDAL [False]
# Water
plotaxes = plotfigure.new_plotaxes('kml')
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.surface_or_depth
plotitem.pcolor_cmap = cmap
plotitem.pcolor_cmin = cmin
plotitem.pcolor_cmax = cmax
def kml_colorbar(filename):
geoplot.kml_build_colorbar(filename,cmap,cmin,cmax)
plotfigure.kml_colorbar = kml_colorbar
#-----------------------------------------------------------
# Figure for KML files (zoom)
#----------------------------------------------------------
plotfigure = plotdata.new_plotfigure(name='Sea Surface (zoom)',figno=2)
plotfigure.show = False
plotfigure.use_for_kml = True
plotfigure.kml_use_for_initial_view = False # Use large plot for view
# Set Google Earth bounding box and figure size
plotfigure.kml_xlimits = ocean_xlimits
plotfigure.kml_ylimits = ocean_ylimits
# zoom into fine grid region of this size
plotfigure.kml_figsize = [10,14] # inches.
# Resolution
rcl = 10 # Over-resolve the coarsest level
plotfigure.kml_dpi = rcl*2*6 # Resolve all three levels
plotfigure.kml_tile_images = False # Tile images for faster loading.
plotaxes = plotfigure.new_plotaxes('kml')
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = geoplot.surface_or_depth
plotitem.pcolor_cmap = cmap
plotitem.pcolor_cmin = cmin
plotitem.pcolor_cmax = cmax
def kml_colorbar(filename):
geoplot.kml_build_colorbar(filename,cmap,cmin,cmax)
plotfigure.kml_colorbar = kml_colorbar
#-----------------------------------------
# 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 = True
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_framenos = range(0,5) # 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 = False # create html files of plots?
plotdata.html_movie = None # 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?
plotdata.kml = True
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):
""""""
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=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
# Import data objects
clawdata = data.ClawInputData(2)
clawdata.read(os.path.join(plotdata.outdir, 'claw.data'))
# To plot gauge locations on pcolor or contour plot, use this as
# an afteraxis function:
def addgauges(current_data):
from clawpack.visclaw import gaugetools
gaugetools.plot_gauge_locations(current_data.plotdata, \
gaugenos='all', format_string='ko', add_labels=True)
#-----------------------------------------
# Figure for surface
#-----------------------------------------
extents = {
"Full Domain": {
'extent': [
clawdata.lower[0], clawdata.upper[0], clawdata.lower[1],
clawdata.upper[1]
],
'show_contours':
False,
'show_patches': [1, 1, 1, 1],
'figsize': (6.4, 4.8)
},
"Zoom 1": {
'extent': init_region,
'show_contours': True,
'show_patches': 0,
'figsize': (6.4 * 2.0, 4.8)
}
}
for (name, param_dict) in extents.items():
plotfigure = plotdata.new_plotfigure(name='Surface %s' % name)
plotfigure.kwargs['figsize'] = param_dict['figsize']
# 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 = surface_or_depth
# plotitem.plot_var = 0
plotitem.pcolor_cmap = surface_cmap
plotitem.pcolor_cmin = -10.0
plotitem.pcolor_cmax = 10.0
plotitem.add_colorbar = True
plotitem.amr_celledges_show = [0, 0, 0, 0]
plotitem.patchedges_show = param_dict['show_patches']
# Bathy contour
plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
plotitem.show = param_dict['show_contours']
plotitem.plot_var = geoplot.topo
plotitem.contour_levels = numpy.arange(5000, 6000, 25)
plotitem.amr_contour_colors = ['k'] # color on each level
plotitem.kwargs = {'linestyles': 'solid', 'linewidths': 1}
plotitem.amr_contour_show = [0, 0, 0, 1]
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
plotitem.show = param_dict['show_contours']
plotitem.plot_var = geoplot.topo
plotitem.contour_levels = numpy.arange(4000, 5000, 25)
plotitem.amr_contour_colors = ['k'] # color on each level
plotitem.kwargs = {'linestyles': 'dashed', 'linewidths': 1}
plotitem.amr_contour_show = [0, 0, 0, 1]
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 = 4800
plotitem.pcolor_cmax = 5005
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.patchedges_show = param_dict['show_patches']
plotaxes.xlimits = param_dict['extent'][:2]
plotaxes.ylimits = param_dict['extent'][2:]
def draw_rect(rect, axes, style="r--"):
"""rect = [xlower, ylower, xupper, yupper"""
xlower = rect[0]
xupper = rect[1]
ylower = rect[2]
yupper = rect[3]
axes.plot([xlower, xupper], [ylower, ylower], style)
axes.plot([xupper, xupper], [ylower, yupper], style)
axes.plot([xupper, xlower], [yupper, yupper], style)
axes.plot([xlower, xlower], [yupper, ylower], style)
def afteraxes(cd):
addgauges(cd)
draw_rect([491000, 493700, 3085250, 3086250], plt.gca())
plotaxes.afteraxes = afteraxes
# -----------------------------------------
# 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,
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
"""
import os
import numpy as np
import matplotlib.pyplot as plt
from clawpack.visclaw import geoplot, gaugetools
import clawpack.clawutil.data as clawutil
import clawpack.amrclaw.data as amrclaw
import clawpack.geoclaw.data
import clawpack.geoclaw.multilayer.plot as ml_plot
# Load data from output
clawdata = clawutil.ClawInputData(2)
clawdata.read(os.path.join(plotdata.outdir, 'claw.data'))
amrdata = amrclaw.AmrclawInputData(clawdata)
amrdata.read(os.path.join(plotdata.outdir, 'amr.data'))
geodata = clawpack.geoclaw.data.GeoClawData()
geodata.read(os.path.join(plotdata.outdir, 'geoclaw.data'))
multilayer_data = clawpack.geoclaw.data.MultilayerData()
multilayer_data.read(os.path.join(plotdata.outdir, 'multilayer.data'))
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
# ========================================================================
# Generic helper functions
# ========================================================================
def pcolor_afteraxes(current_data):
bathy_ref_lines(current_data)
gauge_locations(current_data)
def contour_afteraxes(current_data):
# gauge_locations(current_data)
# m_to_km_labels()
plt.hold(True)
pos = -80.0 * (23e3 / 180) + 500e3 - 5e3
plt.plot([pos, pos], [-300e3, 300e3], 'b', [pos - 5e3, pos - 5e3],
[-300e3, 300e3], 'y')
plt.hold(False)
wind_contours(current_data)
bathy_ref_lines(current_data)
def profile_afteraxes(current_data):
pass
def bathy_ref_lines(current_data):
plt.hold(True)
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]
plt.plot([x1, x2], [y1, y2], 'y--', linewidth=1)
plt.hold(False)
def gauge_locations(current_data, gaugenos='all'):
plt.hold(True)
gaugetools.plot_gauge_locations(current_data.plotdata, \
gaugenos=gaugenos, format_string='kx', add_labels=True)
plt.hold(False)
# ========================================================================
# Axis limits
#xlimits = [amrdata.xlower,amrdata.xupper]
xlimits = [-0.5, 0.5]
#ylimits = [amrdata.ylower,amrdata.yupper]
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_surface_limits = [eta[0]-0.3,eta[0]+0.3]
# internal_surface_limits = [eta[1]-0.15,eta[1]+0.15]
top_speed_limits = [0.0, 0.1]
internal_speed_limits = [0.0, 0.03]
# Single layer test limits
# top_surface_limits = [eta[0]-2.5,eta[0]+2.5]
# top_speed_limits = [0.0,6.0]
# ========================================================================
# Surface Elevations
# ========================================================================
plotfigure = plotdata.new_plotfigure(name='Surface', figno=0)
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)
# 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)
# ========================================================================
# 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)
# 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)
# ========================================================================
# Water Speed
# ========================================================================
plotfigure = plotdata.new_plotfigure(name='speed', figno=1)
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
# add_speed(plotaxes,1,bounds=[0.00,0.2])
ml_plot.add_speed(plotaxes, 1, bounds=top_speed_limits)
# add_speed(plotaxes,1)
ml_plot.add_land(plotaxes)
# 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)
# 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)
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)
# 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)
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)
# ========================================================================
# Profile Plots
# ========================================================================
plotfigure = plotdata.new_plotfigure(name='profile', figno=4)
plotfigure.show = False
# Top surface
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = xlimits
plotaxes.ylimits = [-2000, 20]
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
# ========================================================================
# Combined Profile Plot
# ========================================================================
# add_combined_profile_plot(plotdata,0.25,direction='y',figno=120)
# add_combined_profile_plot(plotdata,0.8,direction='y',figno=121)
#
# add_velocities_profile_plot(plotdata,0.25,direction='y',figno=130)
# add_velocities_profile_plot(plotdata,0.8,direction='y',figno=131)
# ========================================================================
# Bathy Profile
# ========================================================================
plotfigure = plotdata.new_plotfigure(name='bathy_profile', figno=20)
plotfigure.show = False
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = xlimits
plotaxes.title = "Bathymetry Profile"
plotaxes.scaled = 'equal'
plotitem = plotaxes.new_plotitem(plot_type='2d_imshow')
plotitem.plot_var = ml_plot.b
plotitem.imshow_cmin = -4000
plotitem.imshow_cmax = 10
plotitem.add_colorbar = True
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.amr_patchedges_show = [1, 1, 1]
plotitem.show = True
# ========================================================================
# Figures for momentum
# ========================================================================
plotfigure = plotdata.new_plotfigure(name='x-momentum', figno=13)
plotfigure.show = False
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'X-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_u
# 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
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.show = True
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]
plotitem.amr_patchedges_show = [1, 1, 1]
plotfigure = plotdata.new_plotfigure(name='y-momentum', figno=14)
plotfigure.show = False
# 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)
# ========================================================================
# 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, 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, 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
# ========================================================================
# 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
# ========================================================================
def plot_regression_gauges(cd, plot_var=(3, 7)):
import clawpack.pyclaw.gauges as gauges
import numpy
fig = plt.gcf()
gauge = gauges.GaugeSolution(cd.gaugeno, path="./regression_data")
for (i, n) in enumerate(plot_var):
fig.axes[i].plot(gauge.t, gauge.q[n, :], 'k-')
# Top
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, 1.0]
# plotaxes.ylimits = top_surface_limits
plotaxes.title = 'Top Surface'
plotaxes.axescmd = "subplot(1, 2, 1)"
# Plot surfaces:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 3
plotitem.plotstyle = 'ro'
# Bottom
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = [0.0, 1.0]
plotaxes.title = 'Bottom Surface'
plotaxes.axescmd = "subplot(1, 2, 2)"
plotaxes.afteraxes = plot_regression_gauges
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 7
plotitem.plotstyle = 'ro'
# Plot topo as green curve:
# plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
# plotitem.plot_var = geoplot.gaugetopo
# plotitem.plotstyle = 'g+'
#-----------------------------------------
# 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?
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):
r"""Setplot function for surge plotting"""
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.format = 'ascii'
# Load data from output
claw_data = clawdata.ClawInputData(2)
claw_data.read(os.path.join(plotdata.outdir, 'claw.data'))
physics = geodata.GeoClawData()
physics.read(os.path.join(plotdata.outdir, 'geoclaw.data'))
surge_data = geodata.SurgeData()
surge_data.read(os.path.join(plotdata.outdir, 'surge.data'))
friction_data = geodata.FrictionData()
friction_data.read(os.path.join(plotdata.outdir, 'friction.data'))
# Load storm track
track = surgeplot.track_data(os.path.join(plotdata.outdir,'fort.track'))
# Set afteraxes function
surge_afteraxes = lambda cd: surgeplot.surge_afteraxes(cd, track,
plot_direction=False)
# Color limits
surface_range = 1.0
speed_range = 1.0
# speed_range = 1.e-2
eta = physics.sea_level
if not isinstance(eta,list):
eta = [eta]
surface_limits = [eta[0]-surface_range,eta[0]+surface_range]
speed_limits = [0.0,speed_range]
wind_limits = [0, 55]
pressure_limits = [966, 1013]
friction_bounds = [0.01, 0.04]
vorticity_limits = [-1.e-2, 1.e-2]
land_bounds = [-10, 50]
# ==========================================================================
# Plot specifications
# ==========================================================================
# Limits for plots
regions = {'Full Domain': {"xlimits": [claw_data.lower[0], claw_data.upper[0]],
"ylimits": [claw_data.lower[1], claw_data.upper[1]],
"shrink": 1.0,
"figsize": [6.4, 4.8]}
}
def gauge_location_afteraxes(cd):
plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.97)
surge_afteraxes(cd)
gaugetools.plot_gauge_locations(cd.plotdata, gaugenos='all',
format_string='ko', add_labels=True)
for (name, region_dict) in regions.items():
# ========================================================================
# Surface Elevations
# ========================================================================
plotfigure = plotdata.new_plotfigure(name='Surface - %s' % name)
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Surface'
plotaxes.scaled = True
plotaxes.xlimits = region_dict['xlimits']
plotaxes.ylimits = region_dict['ylimits']
plotaxes.afteraxes = surge_afteraxes
plotaxes.afteraxes = gauge_location_afteraxes
surgeplot.add_surface_elevation(plotaxes, bounds=surface_limits,
shrink=region_dict['shrink'])
surgeplot.add_land(plotaxes, bounds=land_bounds)
plotaxes.plotitem_dict['land'].amr_patchedges_show = [1,0,0]
plotaxes.plotitem_dict['surface'].amr_patchedges_show = [1,0,0]
# ========================================================================
# Water Speed
# ========================================================================
plotfigure = plotdata.new_plotfigure(name='Currents - %s' % name)
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Currents'
plotaxes.scaled = True
plotaxes.xlimits = region_dict['xlimits']
plotaxes.ylimits = region_dict['ylimits']
plotaxes.afteraxes = surge_afteraxes
surgeplot.add_speed(plotaxes, bounds=speed_limits,
shrink=region_dict['shrink'])
surgeplot.add_land(plotaxes, bounds=land_bounds)
# ========================================================================
# Hurricane forcing - Entire Atlantic
# ========================================================================
# Friction field
plotfigure = plotdata.new_plotfigure(name='Friction')
plotfigure.show = False
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = regions['Full Domain']['xlimits']
plotaxes.ylimits = regions['Full Domain']['ylimits']
plotaxes.title = "Manning's N Coefficients"
plotaxes.afteraxes = surge_afteraxes
plotaxes.scaled = True
surgeplot.add_friction(plotaxes,bounds=friction_bounds)
# Pressure field
plotfigure = plotdata.new_plotfigure(name='Pressure')
plotfigure.show = True
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = regions['Full Domain']['xlimits']
plotaxes.ylimits = regions['Full Domain']['ylimits']
plotaxes.title = "Pressure Field"
plotaxes.afteraxes = surge_afteraxes
plotaxes.scaled = True
surgeplot.add_pressure(plotaxes,bounds=pressure_limits)
surgeplot.add_land(plotaxes, bounds=[-10, 500])
# Wind field
plotfigure = plotdata.new_plotfigure(name='Wind Speed')
plotfigure.show = True
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = regions['Full Domain']['xlimits']
plotaxes.ylimits = regions['Full Domain']['ylimits']
plotaxes.title = "Wind Field"
plotaxes.afteraxes = surge_afteraxes
plotaxes.scaled = True
surgeplot.add_wind(plotaxes,bounds=wind_limits,plot_type='imshow')
surgeplot.add_land(plotaxes, bounds=[-10, 500])
# ========================================================================
# Figures for gauges
# ========================================================================
plotfigure = plotdata.new_plotfigure(name='Surface & topo', figno=300, \
type='each_gauge')
plotfigure.show = True
plotfigure.clf_each_gauge = True
stations = [('8518750', 'The Battery, NY'),
('8516945', 'Kings Point, NY'),
('8519483', 'Bergen Point West Reach, NY')]
#('8531680','Sandy Hook, NY'),
#('n03020','Narrows,NY')]
landfall_time = np.datetime64('2012-10-29T23:30')
begin_date = datetime.datetime(2012, 10, 28)
end_date = datetime.datetime(2012, 10, 31,)
def get_actual_water_levels(station_id):
# Fetch water levels and tide predictions for given station
date_time, water_level, tide = fetch_noaa_tide_data(station_id,
begin_date, end_date)
# Calculate times relative to landfall
seconds_rel_landfall = (date_time - landfall_time) / np.timedelta64(1, 's')
# Subtract tide predictions from measured water levels
water_level -= tide
return seconds_rel_landfall, water_level
# def get_actual_current(station_id):
# # Fetch currents for given station_name
# date_time, water_level, tide, currents = fetch_noaa_tide_data(station_id,
# begin_date, end_date)
#
# # calculate times relative to landfall_time
# secs_rel_landfall = (date_time - landfall_time) / np.timedelta64(1, 's')
# return secs_rel_landfall, currents
#
# def calc_currents(cd):
# height = cd.q[0,:]
# where_zero = np.where(height == 0)[0]
# for index in where_zero:
# height[index] = 1
# vel_magnitude = (cd.q[1,:]/height)**2 + (cd.q[2,:]/height)**2
# vel_magnitude = vel_magnitude**0.5
# return vel_magnitude
def gauge_afteraxes(cd):
station_id, station_name = stations[cd.gaugeno-1]
seconds_rel_landfall, actual_level = get_actual_water_levels(station_id)
axes = plt.gca()
#surgeplot.plot_landfall_gauge(cd.gaugesoln, axes, landfall=landfall)
axes.plot(seconds_rel_landfall, actual_level, 'g')
# Fix up plot - in particular fix time labels
axes.set_title(station_name)
axes.set_xlabel('Seconds relative to landfall')
axes.set_ylabel('Surface (m)')
axes.set_xlim([days2seconds(-2), days2seconds(1)])
axes.set_ylim([0, 4])
axes.set_xticks([ days2seconds(-2), days2seconds(-1), 0, days2seconds(1)])
#axes.set_xticklabels([r"$-3$", r"$-2$", r"$-1$", r"$0$", r"$1$"])
#axes.grid(True)
# def current_afterxes(cd):
# station_id, station_name = stations[cd.gaugeno-1]
# if len(station_id)==6:
# seconds_rel_landfall, currents = get_actual_currents(station_id)
#
# axes = plt.gca()
# #surgeplot.plot_landfall_gauge(cd.gaugesoln, axes, landfall=landfall)
# axes.plot(seconds_rel_landfall, currents, 'g')
#
# # Fix up plot - in particular fix time labels
# axes.set_title(station_name)
# axes.set_xlabel('Seconds relative to landfall')
# axes.set_ylabel('Surface (m)')
# axes.set_xlim([days2seconds(-2), days2seconds(1)])
# axes.set_xticks([ days2seconds(-2), days2seconds(-1), 0, days2seconds(1)])
# #axes.set_xticklabels([r"$-3$", r"$-2$", r"$-1$", r"$0$", r"$1$"])
# #axes.grid(True)
#
#
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.afteraxes = gauge_afteraxes
# Plot surface as blue curve:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 3
plotitem.plotstyle = 'b-'
# Speeds
# plotfigure = plotdata.new_plotfigure(name='Currents', figno=400, \
# type='each_gauge')
# plotfigure.show = True
# plotfigure.clf_each_gauge = True
# plotaxes = plotfigure.new_plotaxes()
#plotaxes.afteraxes = current_afterxes
# plotaxes.axescmd = 'subplot(122)'
# try:
# plotaxes.xlimits = [amrdata.t0, amrdata.tfinal]
# except:
# pass
# plotaxes.ylimits = surface_limits
#plotaxes.title = 'Momenta'
# plotaxes.afteraxes = surge.gauge_afteraxes
# plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
# plotitem.plot_var = calc_currents
# plotitem.plotstyle = 'r-.'
#plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
#plotitem.plot_var = 2
#plotitem.plotstyle = 'b-'
#-----------------------------------------
# Parameters used only when creating html and/or latex hardcopy
# e.g., via pyclaw.plotters.frametools.printframes:
plotdata.printfigs = True # print figures
plotdata.print_format = 'png' # file format
plotdata.print_framenos = 'all' # list of frames to print
plotdata.print_gaugenos = 'all' # list of gauges to print
plotdata.print_fignos = 'all' # list of figures to print
plotdata.html = True # create html files of plots?
plotdata.html_homelink = '../README.html' # pointer for top of index
plotdata.latex = True # create latex file of plots?
plotdata.latex_figsperline = 2 # layout of plots
plotdata.latex_framesperline = 1 # layout of plots
plotdata.latex_makepdf = False # also run pdflatex?
return plotdata
def setplot(plotdata):
r"""Setplot function for surge plotting"""
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.format = 'ascii'
# Load data from output
claw_data = clawdata.ClawInputData(2)
claw_data.read(os.path.join(plotdata.outdir, 'claw.data'))
physics = geodata.GeoClawData()
physics.read(os.path.join(plotdata.outdir, 'geoclaw.data'))
surge_data = geodata.SurgeData()
surge_data.read(os.path.join(plotdata.outdir, 'surge.data'))
friction_data = geodata.FrictionData()
friction_data.read(os.path.join(plotdata.outdir, 'friction.data'))
# Load storm track
track = surgeplot.track_data(os.path.join(plotdata.outdir, 'fort.track'))
# Set afteraxes function
surge_afteraxes = lambda cd: surgeplot.surge_afteraxes(
cd, track, plot_direction=False)
def plot_coastline(cd):
"""Load fine coastline for plotting around NYC"""
try:
# Assumes that at path theres a fine topography file in NetCDF file format
path = "/Users/mandli/Dropbox/research/data/topography/atlantic/sandy_bathy/ny_area.nc"
topo_file = topotools.Topography(path, topo_type=4)
topo_file.read(nc_params={
"x_var": "lon",
"y_var": "lat",
"z_var": "Band1"
})
axes = plt.gca()
axes.contour(topo_file.X,
topo_file.Y,
topo_file.Z,
levels=[-0.001, 0.001],
colors='k',
linestyles='-')
except:
pass
surge_afteraxes(cd)
# 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]
},
'Tri-State Region': {
"xlimits": [-74.5, -71.0],
"ylimits": [40.0, 41.5],
"shrink": 1.0,
"figsize": [6.4, 4.8]
},
'NYC': {
"xlimits": [-74.2, -73.7],
"ylimits": [40.4, 40.85],
"shrink": 1.0,
"figsize": [6.4, 4.8]
}
}
def gauge_location_afteraxes(cd):
plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.97)
surge_afteraxes(cd)
gaugetools.plot_gauge_locations(cd.plotdata,
gaugenos='all',
format_string='ko',
add_labels=True)
for (name, region_dict) in regions.items():
# ========================================================================
# Surface Elevations
# ========================================================================
plotfigure = plotdata.new_plotfigure(name='Surface - %s' % name)
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Surface'
plotaxes.scaled = True
plotaxes.xlimits = region_dict['xlimits']
plotaxes.ylimits = region_dict['ylimits']
plotaxes.afteraxes = plot_coastline
# 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 = [0, 0, 0]
plotaxes.plotitem_dict['surface'].amr_patchedges_show = [0, 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 = plot_coastline
surgeplot.add_speed(plotaxes,
bounds=speed_limits,
shrink=region_dict['shrink'])
surgeplot.add_land(plotaxes, bounds=land_bounds)
plotaxes.plotitem_dict['land'].amr_patchedges_show = [0, 0, 0]
plotaxes.plotitem_dict['speed'].amr_patchedges_show = [0, 0, 0]
# ========================================================================
# Hurricane forcing - Entire Atlantic
# ========================================================================
# Friction field
plotfigure = plotdata.new_plotfigure(name='Friction')
plotfigure.show = False
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = regions['Full Domain']['xlimits']
plotaxes.ylimits = regions['Full Domain']['ylimits']
plotaxes.title = "Manning's N Coefficients"
plotaxes.afteraxes = surge_afteraxes
plotaxes.scaled = True
surgeplot.add_friction(plotaxes, bounds=friction_bounds)
# Pressure field
plotfigure = plotdata.new_plotfigure(name='Pressure')
plotfigure.show = True
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = regions['Full Domain']['xlimits']
plotaxes.ylimits = regions['Full Domain']['ylimits']
plotaxes.title = "Pressure Field"
plotaxes.afteraxes = surge_afteraxes
plotaxes.scaled = True
surgeplot.add_pressure(plotaxes, bounds=pressure_limits)
surgeplot.add_land(plotaxes, bounds=[-10, 500])
# Wind field
plotfigure = plotdata.new_plotfigure(name='Wind Speed')
plotfigure.show = True
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = regions['Full Domain']['xlimits']
plotaxes.ylimits = regions['Full Domain']['ylimits']
plotaxes.title = "Wind Field"
plotaxes.afteraxes = surge_afteraxes
plotaxes.scaled = True
surgeplot.add_wind(plotaxes, bounds=wind_limits, plot_type='imshow')
surgeplot.add_land(plotaxes, bounds=[-10, 500])
# ========================================================================
# Figures for gauges
# ========================================================================
plotfigure = plotdata.new_plotfigure(name='Surface & topo', figno=300, \
type='each_gauge')
plotfigure.show = True
plotfigure.clf_each_gauge = True
stations = [('8518750', 'The Battery, NY'), ('8516945', 'Kings Point, NY'),
('8519483', 'Bergen Point West Reach, NY')]
#('8531680','Sandy Hook, NY'),
#('n03020','Narrows,NY')]
landfall_time = np.datetime64('2012-10-29T23:30')
begin_date = datetime.datetime(2012, 10, 28)
end_date = datetime.datetime(
2012,
10,
31,
)
def get_actual_water_levels(station_id):
# Fetch water levels and tide predictions for given station
date_time, water_level, tide = fetch_noaa_tide_data(
station_id, begin_date, end_date)
# Calculate times relative to landfall
seconds_rel_landfall = (date_time - landfall_time) / np.timedelta64(
1, 's')
# Subtract tide predictions from measured water levels
water_level -= tide
return seconds_rel_landfall, water_level
def 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)
# 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-'
#-----------------------------------------
# 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):
""""""
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,
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):
r"""Setplot function for surge plotting"""
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.format = 'ascii'
# Load data from output
clawdata = clawutil.ClawInputData(2)
clawdata.read(os.path.join(plotdata.outdir, 'claw.data'))
amrdata = amrclaw.AmrclawInputData(clawdata)
amrdata.read(os.path.join(plotdata.outdir, 'amr.data'))
physics = geodata.GeoClawData()
physics.read(os.path.join(plotdata.outdir, 'geoclaw.data'))
surge_data = surgedata.SurgeData()
surge_data.read(os.path.join(plotdata.outdir, 'surge.data'))
friction_data = surgedata.FrictionData()
friction_data.read(os.path.join(plotdata.outdir, 'friction.data'))
# Load storm track
track = surgeplot.track_data(os.path.join(plotdata.outdir, 'fort.track'))
# Calculate landfall time, off by a day, maybe leap year issue?
landfall_dt = datetime.datetime(2008, 9, 13, 7) - datetime.datetime(
2008, 1, 1, 0)
landfall = (landfall_dt.days - 1.0) * 24.0 * 60**2 + landfall_dt.seconds
# Color limits
surface_range = 5.0
speed_range = 3.0
eta = physics.sea_level
if not isinstance(eta, list):
eta = [eta]
surface_limits = [eta[0] - surface_range, eta[0] + surface_range]
# surface_contours = numpy.linspace(-surface_range, surface_range,11)
surface_contours = [
-5, -4.5, -4, -3.5, -3, -2.5, -2, -1.5, -1, -0.5, 0.5, 1, 1.5, 2, 2.5,
3, 3.5, 4, 4.5, 5
]
speed_limits = [0.0, speed_range]
speed_contours = numpy.linspace(0.0, speed_range, 13)
wind_limits = [0, 64]
# wind_limits = [-0.002,0.002]
pressure_limits = [935, 1013]
friction_bounds = [0.01, 0.04]
# vorticity_limits = [-1.e-2,1.e-2]
# ==========================================================================
# ==========================================================================
# Plot specifications
# ==========================================================================
# ==========================================================================
#-----------------------------------------
# Some global kml flags
#-----------------------------------------
plotdata.kml_name = "Ike"
plotdata.kml_starttime = [2008, 9, 3, 15, 0,
0] # Time of event in UTC [None]
plotdata.kml_tz_offset = 5 # Time zone offset (in hours) of event. [None]
plotdata.kml_index_fname = "Ike" # name for .kmz and .kml files ["_GoogleEarth"]
# Set to path where KMZ files will be stored; KML file will then
# link to this path.
# plotdata.kml_publish = 'http://www.domain.edu/path/to/kmz/files'
# ========================================================================
# Entire Gulf
# ========================================================================
gulf_xlimits = [clawdata.lower[0], clawdata.upper[0]]
gulf_ylimits = [clawdata.lower[1], clawdata.upper[1]]
gulf_shrink = 1.0
# --------------------------
# Surface - entire gulf
# --------------------------
plotfigure = plotdata.new_plotfigure(name='Surface - Entire Domain',
figno=0)
plotfigure.show = True
plotfigure.use_for_kml = True
plotfigure.kml_use_for_initial_view = True
# These override axes limits set below in plotitems
plotfigure.kml_xlimits = gulf_xlimits
plotfigure.kml_ylimits = gulf_ylimits
# Resolution - needs to be set carefully for the transparent colormap
rcl = 40
plotfigure.kml_dpi = rcl * 2
plotfigure.kml_figsize = [11.6, 9.6]
plotfigure.kml_tile_images = False # Tile images for faster loading. Requires GDAL [False]
plotaxes = plotfigure.new_plotaxes()
plotitem = plotaxes.new_plotitem(name='surface', plot_type='2d_pcolor')
plotitem.plot_var = geoplot.surface_or_depth
plotitem.pcolor_cmap = geoplot.googleearth_transparent
plotitem.pcolor_cmin = -surface_range
plotitem.pcolor_cmax = surface_range
def kml_colorbar(filename):
cmin = -surface_range
cmax = surface_range
geoplot.kml_build_colorbar(filename, geoplot.googleearth_transparent,
cmin, cmax)
plotfigure.kml_colorbar = kml_colorbar
# --------------------------
# Water Speed - entire gulf
# --------------------------
plotfigure = plotdata.new_plotfigure(name='Currents - Entire Domain',
figno=1)
plotfigure.show = True
plotfigure.use_for_kml = True
plotfigure.kml_use_for_initial_view = False
# These override axes limits set below in plotitems
plotfigure.kml_xlimits = gulf_xlimits
plotfigure.kml_ylimits = gulf_ylimits
plotfigure.kml_figsize = [11.6, 9.6]
plotfigure.kml_dpi = 80 # size not so important with contourf
plotfigure.kml_tile_images = False # Tile images for faster loading. Requires GDAL [False]
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotitem = plotaxes.new_plotitem(name='surface', plot_type='2d_contourf')
plotitem.plot_var = geoplot.surface_or_depth
plotitem.contour_levels = speed_contours
plotitem.fill_cmin = min(speed_contours)
plotitem.fill_cmax = max(speed_contours)
cmap = plt.get_cmap('OrRd')
cmap._rgba_under = (0.0, 0.0, 0.0, 0.0)
plotitem.fill_cmap = cmap
def cbar_speeds(filename):
cmin = min(speed_contours)
cmax = max(speed_contours)
geoplot.kml_build_colorbar(filename, cmap, cmin, cmax)
plotfigure.kml_colorbar = cbar_speeds
# ========================================================================
# Houston/Galveston
# ========================================================================
houston_xlimits = [-(95.0 + 26.0 / 60.0), -(94.0 + 25.0 / 60.0)]
houston_ylimits = [29.1, 29.0 + 55.0 / 60.0]
houston_shrink = 0.9
#No need to worry about fitting the plot exactly if we are not using
# the transparent colormap with pcolor.
#num_cells = [116, 96]
#dx = (gulf_xlimits[1] - float(gulf_xlimits[0]))/num_cells[0] # = 0.25
#dy = (gulf_ylimits[1] - float(gulf_ylimits[0]))/num_cells[1] # = 0.25
#houston_xlimits = [gulf_xlimits[0] + 14*dx, gulf_xlimits[0] + 21*dx] # [-95.25, -94.5]
#houston_ylimits = [gulf_ylimits[0] + 82*dy, gulf_ylimits[0] + 88*dy] # [-95.25, -94.5]
#figsize = [(21-14)*dx,(88-82)*dy] # relative to [11.6, 9.6] occupied by larger grid
figsize = [
houston_xlimits[1] - houston_xlimits[0],
houston_ylimits[1] - houston_ylimits[0]
]
dpi = 400
# --------------------------------------
# Surface Elevations - Houston/Galveston
# --------------------------------------
plotfigure = plotdata.new_plotfigure(name='Surface - Houston/Galveston',
figno=2)
plotfigure.show = True
plotfigure.use_for_kml = True
plotfigure.kml_xlimits = houston_xlimits
plotfigure.kml_ylimits = houston_ylimits
plotfigure.kml_dpi = dpi # data is not more resolve than this
plotfigure.kml_figsize = figsize
plotfigure.kml_tile_images = False
# pcolor for water.
plotaxes = plotfigure.new_plotaxes()
plotitem = plotaxes.new_plotitem(name='surface', plot_type='2d_contourf')
plotitem.contour_levels = surface_contours
plotitem.fill_cmin = min(surface_contours)
plotitem.fill_cmax = max(surface_contours)
# what is the colormap used here?
#plotfigure.kml_colorbar = cbar_houston
# --------------------------------
# Water Speed - Houston/Galveston
# --------------------------------
plotfigure = plotdata.new_plotfigure(name='Currents - Houston/Galveston',
figno=3)
plotfigure.show = True
plotfigure.use_for_kml = True
# These override axes limits set below in plotitems
plotfigure.kml_xlimits = houston_xlimits
plotfigure.kml_ylimits = houston_ylimits
plotfigure.kml_figsize = figsize
plotfigure.kml_dpi = dpi # data is not more resolve than this
plotfigure.kml_tile_images = False # Tile images for faster loading. Requires GDAL [False]
# Water
plotaxes = plotfigure.new_plotaxes()
plotitem = plotaxes.new_plotitem(name='surface', plot_type='2d_contourf')
plotitem.plot_var = geoplot.surface_or_depth
plotitem.contour_levels = speed_contours
plotitem.fill_cmin = min(speed_contours)
plotitem.fill_cmax = max(speed_contours)
cmap = plt.get_cmap('OrRd')
cmap._rgba_under = (0.0, 0.0, 0.0, 0.0)
plotitem.fill_cmap = cmap
# ========================================================================
# Figures for gauges
# ========================================================================
plotfigure = plotdata.new_plotfigure(name='Surface & topo', figno=300, \
type='each_gauge')
plotfigure.show = True
plotfigure.clf_each_gauge = True
# plotfigure.kwargs['figsize'] = (16,10)
def gauge_after_axes(cd):
if cd.gaugeno in [1, 2, 3, 4]:
axes = plt.gca()
# # Add Kennedy gauge data
# kennedy_gauge = kennedy_gauges[gauge_name_trans[cd.gaugeno]]
# axes.plot(kennedy_gauge['t'] - seconds2days(date2seconds(gauge_landfall[0])),
# kennedy_gauge['mean_water'] + kennedy_gauge['depth'], 'k-',
# label='Gauge Data')
# Add GeoClaw gauge data
geoclaw_gauge = cd.gaugesoln
axes.plot(seconds2days(geoclaw_gauge.t -
date2seconds(gauge_landfall[1])),
geoclaw_gauge.q[3, :] + gauge_surface_offset[0],
'b--',
label="GeoClaw")
# Add ADCIRC gauge data
# ADCIRC_gauge = ADCIRC_gauges[kennedy_gauge['gauge_no']]
# axes.plot(seconds2days(ADCIRC_gauge[:,0] - gauge_landfall[2]),
# ADCIRC_gauge[:,1] + gauge_surface_offset[1], 'r-.', label="ADCIRC")
# Fix up plot
axes.set_title('Station %s' % cd.gaugeno)
axes.set_xlabel('Days relative to landfall')
axes.set_ylabel('Surface (m)')
axes.set_xlim([-2, 1])
axes.set_ylim([-1, 5])
axes.set_xticks([-2, -1, 0, 1])
axes.set_xticklabels([r"$-2$", r"$-1$", r"$0$", r"$1$"])
axes.grid(True)
axes.legend()
plt.hold(False)
surgeplot.gauge_afteraxes(cd)
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = [-2, 1]
#plotaxes.xlabel = "Days from landfall"
#plotaxes.ylabel = "Surface (m)"
plotaxes.ylimits = [-1, 5]
plotaxes.title = 'Surface'
plotaxes.afteraxes = gauge_after_axes
# Plot surface as blue curve:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 3
plotitem.plotstyle = 'b-'
#-----------------------------------------
# Parameters used only when creating html and/or latex hardcopy
# e.g., via pyclaw.plotters.frametools.printframes:
plotdata.printfigs = True # print figures
plotdata.print_format = 'png' # file format
plotdata.print_framenos = 'all' # list of frames to print
plotdata.print_gaugenos = 'all' # list of gauges to print
plotdata.print_fignos = [0, 1, 2, 3] # list of figures to print
plotdata.html_homelink = '../README.html' # pointer for top of index
plotdata.latex_figsperline = 2 # layout of plots
plotdata.latex_framesperline = 1 # layout of plots
plotdata.latex_makepdf = False # also run pdflatex?
plotdata.html = False # create html files of plots?
plotdata.latex = False # create latex file of plots?
plotdata.kml = True
return plotdata
def setplot(plotdata):
r"""Setplot function for surge plotting"""
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.format = 'binary'
fig_num_counter = surge.figure_counter()
# Load data from output
clawdata = clawutil.ClawInputData(2)
clawdata.read(os.path.join(plotdata.outdir, 'claw.data'))
amrdata = amrclaw.AmrclawInputData(clawdata)
amrdata.read(os.path.join(plotdata.outdir, 'amr.data'))
physics = geodata.GeoClawData()
physics.read(os.path.join(plotdata.outdir, 'geoclaw.data'))
surge_data = geodata.SurgeData()
surge_data.read(os.path.join(plotdata.outdir, 'surge.data'))
friction_data = geodata.FrictionData()
friction_data.read(os.path.join(plotdata.outdir, 'friction.data'))
# Load storm track
track = surge.track_data(os.path.join(plotdata.outdir, 'fort.track'))
# Calculate landfall time, off by a day, maybe leap year issue?
landfall_dt = datetime.datetime(2008, 9, 13, 7) - datetime.datetime(
2008, 1, 1, 0)
landfall = (landfall_dt.days - 1.0) * 24.0 * 60**2 + landfall_dt.seconds
# Set afteraxes function
surge_afteraxes = lambda cd: surge.surge_afteraxes(
cd, track, landfall, plot_direction=False)
# Color limits
surface_range = 5.0
speed_range = 3.0
eta = physics.sea_level
if not isinstance(eta, list):
eta = [eta]
surface_limits = [eta[0] - surface_range, eta[0] + surface_range]
# surface_contours = numpy.linspace(-surface_range, surface_range,11)
surface_contours = [
-5, -4.5, -4, -3.5, -3, -2.5, -2, -1.5, -1, -0.5, 0.5, 1, 1.5, 2, 2.5,
3, 3.5, 4, 4.5, 5
]
surface_ticks = [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5]
surface_labels = [str(value) for value in surface_ticks]
speed_limits = [0.0, speed_range]
speed_contours = numpy.linspace(0.0, speed_range, 13)
speed_ticks = [0, 1, 2, 3]
speed_labels = [str(value) for value in speed_ticks]
wind_limits = [0, 64]
# wind_limits = [-0.002,0.002]
pressure_limits = [935, 1013]
friction_bounds = [0.01, 0.04]
# vorticity_limits = [-1.e-2,1.e-2]
# def pcolor_afteraxes(current_data):
# surge_afteraxes(current_data)
# surge.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):
if article:
plt.subplots_adjust(left=0.08, bottom=0.04, right=0.97, top=0.96)
else:
plt.subplots_adjust(left=0.05, bottom=0.07, right=1.00, top=0.93)
surge_afteraxes(cd)
#
# Surface
#
plotfigure = plotdata.new_plotfigure(name='Surface - Entire Domain',
figno=fig_num_counter.get_counter())
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Surface'
plotaxes.scaled = True
plotaxes.xlimits = gulf_xlimits
plotaxes.ylimits = gulf_ylimits
plotaxes.afteraxes = gulf_after_axes
surge.add_surface_elevation(plotaxes,
plot_type='contourf',
contours=surface_contours,
shrink=gulf_shrink)
surge.add_land(plotaxes, topo_min=-10.0, topo_max=5.0)
# surge.add_bathy_contours(plotaxes)
if article:
plotaxes.plotitem_dict['surface'].add_colorbar = False
else:
add_custom_colorbar_ticks_to_axes(plotaxes, 'surface', surface_ticks,
surface_labels)
plotaxes.plotitem_dict['surface'].amr_patchedges_show = [
1, 1, 1, 1, 1, 1, 1, 1
]
#
# Water Speed
#
plotfigure = plotdata.new_plotfigure(name='Currents - Entire Domain',
figno=fig_num_counter.get_counter())
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Currents'
plotaxes.scaled = True
plotaxes.xlimits = gulf_xlimits
plotaxes.ylimits = gulf_ylimits
plotaxes.afteraxes = gulf_after_axes
# Speed
surge.add_speed(plotaxes,
plot_type='contourf',
contours=speed_contours,
shrink=gulf_shrink)
if article:
plotaxes.plotitem_dict['speed'].add_colorbar = False
else:
add_custom_colorbar_ticks_to_axes(plotaxes, 'speed', speed_ticks,
speed_labels)
# Land
surge.add_land(plotaxes)
surge.add_bathy_contours(plotaxes)
#
# Friction field
#
plotfigure = plotdata.new_plotfigure(name='Friction',
figno=fig_num_counter.get_counter())
plotfigure.show = friction_data.variable_friction and True
def friction_after_axes(cd):
plt.subplots_adjust(left=0.08, bottom=0.04, right=0.97, top=0.96)
plt.title(r"Manning's $n$ Coefficient")
# surge_afteraxes(cd)
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = gulf_xlimits
plotaxes.ylimits = gulf_ylimits
# plotaxes.title = "Manning's N Coefficient"
plotaxes.afteraxes = friction_after_axes
plotaxes.scaled = True
surge.add_friction(plotaxes, bounds=friction_bounds, shrink=0.9)
plotaxes.plotitem_dict['friction'].amr_patchedges_show = [
0, 0, 0, 0, 0, 0, 0
]
plotaxes.plotitem_dict['friction'].colorbar_label = "$n$"
# ========================================================================
# LaTex Shelf
# ========================================================================
latex_xlimits = [-97.5, -88.5]
latex_ylimits = [27.5, 30.5]
latex_shrink = 1.0
def latex_after_axes(cd):
if article:
plt.subplots_adjust(left=0.07, bottom=0.14, right=1.0, top=0.86)
# else:
# plt.subplots_adjust(right=1.0)
surge_afteraxes(cd)
#
# Surface
#
plotfigure = plotdata.new_plotfigure(name='Surface - LaTex Shelf',
figno=fig_num_counter.get_counter())
plotfigure.show = True
if article:
plotfigure.kwargs = {'figsize': (8, 2.7)} #, 'facecolor':'none'}
else:
plotfigure.kwargs = {'figsize': (9, 2.7)} #, 'facecolor':'none'}
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Surface'
plotaxes.scaled = True
plotaxes.xlimits = latex_xlimits
plotaxes.ylimits = latex_ylimits
plotaxes.afteraxes = latex_after_axes
surge.add_surface_elevation(plotaxes,
plot_type='contourf',
contours=surface_contours,
shrink=latex_shrink)
if article:
plotaxes.plotitem_dict['surface'].add_colorbar = False
# plotaxes.afteraxes = lambda cd: article_latex_after_axes(cd, landfall)
else:
add_custom_colorbar_ticks_to_axes(
plotaxes, 'surface', [-5, -2.5, 0, 2.5, 5.0],
["-5.0", "-2.5", " 0", " 2.5", " 5.0"])
# plotaxes.plotitem_dict['surface'].contour_cmap = plt.get_cmap('OrRd')
# surge.add_surface_elevation(plotaxes,plot_type='contour')
surge.add_land(plotaxes)
# plotaxes.plotitem_dict['surface'].amr_patchedges_show = [1,1,1,0,0,0,0]
plotaxes.plotitem_dict['surface'].amr_patchedges_show = [
0, 0, 0, 0, 0, 0, 0
]
# plotaxes.plotitem_dict['land'].amr_patchedges_show = [1,1,1,0,0,0,0]
plotaxes.plotitem_dict['land'].amr_patchedges_show = [0, 0, 0, 0, 0, 0, 0]
# Plot using jet and 0.0 to 5.0 to match figgen generated ADCIRC results
# plotaxes.plotitem_dict['surface'].pcolor_cmin = 0.0
# plotaxes.plotitem_dict['surface'].pcolor_cmax = 5.0
# plotaxes.plotitem_dict['surface'].pcolor_cmap = plt.get_cmap('jet')
#
# Water Speed
#
plotfigure = plotdata.new_plotfigure(name='Currents - LaTex Shelf',
figno=fig_num_counter.get_counter())
plotfigure.show = True
if article:
plotfigure.kwargs = {'figsize': (8, 2.7)} #, 'facecolor':'none'}
else:
plotfigure.kwargs = {'figsize': (9, 2.7)} #, 'facecolor':'none'}
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Currents'
plotaxes.scaled = True
plotaxes.xlimits = latex_xlimits
plotaxes.ylimits = latex_ylimits
plotaxes.afteraxes = latex_after_axes
surge.add_speed(plotaxes,
plot_type='contourf',
contours=speed_contours,
shrink=latex_shrink)
if article:
plotaxes.plotitem_dict['speed'].add_colorbar = False
else:
add_custom_colorbar_ticks_to_axes(plotaxes, 'speed', speed_ticks,
speed_labels)
# surge.add_surface_elevation(plotaxes,plot_type='contour')
surge.add_land(plotaxes)
# plotaxes.plotitem_dict['speed'].amr_patchedges_show = [1,1,0,0,0,0,0]
# plotaxes.plotitem_dict['land'].amr_patchedges_show = [1,1,1,0,0,0,0]
plotaxes.plotitem_dict['speed'].amr_patchedges_show = [0, 0, 0, 0, 0, 0, 0]
plotaxes.plotitem_dict['land'].amr_patchedges_show = [0, 0, 0, 0, 0, 0, 0]
# ========================================================================
# 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.gauge_locations(cd)
#
# Surface Elevations
#
plotfigure = plotdata.new_plotfigure(name='Surface - Houston/Galveston',
figno=fig_num_counter.get_counter())
plotfigure.show = True
# if article:
# plotfigure.kwargs['figsize'] =
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Surface'
plotaxes.scaled = True
plotaxes.xlimits = houston_xlimits
plotaxes.ylimits = houston_ylimits
plotaxes.afteraxes = houston_after_axes
surge.add_surface_elevation(plotaxes,
plot_type='contourf',
contours=surface_contours,
shrink=houston_shrink)
if article:
plotaxes.plotitem_dict['surface'].add_colorbar = False
else:
add_custom_colorbar_ticks_to_axes(plotaxes, 'surface', surface_ticks,
surface_labels)
surge.add_land(plotaxes)
plotaxes.plotitem_dict['surface'].amr_patchedges_show = [
0, 0, 0, 0, 0, 0, 0
]
plotaxes.plotitem_dict['land'].amr_patchedges_show = [0, 0, 0, 0, 0, 0, 0]
# surge.add_bathy_contours(plotaxes)
# Plot using jet and 0.0 to 5.0 to match figgen generated ADCIRC results
# plotaxes.plotitem_dict['surface'].pcolor_cmin = 0.0
# plotaxes.plotitem_dict['surface'].pcolor_cmax = 5.0
# plotaxes.plotitem_dict['surface'].pcolor_cmap = plt.get_cmap('jet')
#
# Water Speed
#
plotfigure = plotdata.new_plotfigure(name='Currents - Houston/Galveston',
figno=fig_num_counter.get_counter())
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Currents'
plotaxes.scaled = True
plotaxes.xlimits = houston_xlimits
plotaxes.ylimits = houston_ylimits
plotaxes.afteraxes = houston_after_axes
surge.add_speed(plotaxes,
plot_type='contourf',
contours=speed_contours,
shrink=houston_shrink)
if article:
plotaxes.plotitem_dict['speed'].add_colorbar = False
else:
add_custom_colorbar_ticks_to_axes(plotaxes, 'speed', speed_ticks,
speed_labels)
surge.add_land(plotaxes)
# surge.add_bathy_contours(plotaxes)
# plotaxes.plotitem_dict['speed'].amr_patchedges_show = [1,1,1,1,1,1,1,1]
# plotaxes.plotitem_dict['land'].amr_patchedges_show = [1,1,1,1,1,1,1,1]
plotaxes.plotitem_dict['speed'].amr_patchedges_show = [0, 0, 0, 0, 0, 0, 0]
plotaxes.plotitem_dict['land'].amr_patchedges_show = [0, 0, 0, 0, 0, 0, 0]
# ==========================
# Hurricane Forcing fields
# ==========================
# Pressure field
plotfigure = plotdata.new_plotfigure(name='Pressure',
figno=fig_num_counter.get_counter())
plotfigure.show = surge_data.pressure_forcing and True
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = gulf_xlimits
plotaxes.ylimits = gulf_ylimits
plotaxes.title = "Pressure Field"
plotaxes.afteraxes = gulf_after_axes
plotaxes.scaled = True
surge.add_pressure(plotaxes, bounds=pressure_limits, shrink=gulf_shrink)
surge.add_land(plotaxes)
# Wind field
plotfigure = plotdata.new_plotfigure(name='Wind Speed',
figno=fig_num_counter.get_counter())
plotfigure.show = surge_data.wind_forcing and True
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = gulf_xlimits
plotaxes.ylimits = gulf_ylimits
plotaxes.title = "Wind Field"
plotaxes.afteraxes = gulf_after_axes
plotaxes.scaled = True
surge.add_wind(plotaxes,
bounds=wind_limits,
plot_type='pcolor',
shrink=gulf_shrink)
surge.add_land(plotaxes)
# ========================================================================
# Figures for gauges
# ========================================================================
plotfigure = plotdata.new_plotfigure(name='Surface & topo', figno=300, \
type='each_gauge')
plotfigure.show = True
plotfigure.clf_each_gauge = True
# plotfigure.kwargs['figsize'] = (16,10)
def gauge_after_axes(cd):
if cd.gaugeno in [1, 2, 3, 4]:
axes = plt.gca()
# Add Kennedy gauge data
kennedy_gauge = kennedy_gauges[gauge_name_trans[cd.gaugeno]]
axes.plot(kennedy_gauge['t'] -
seconds2days(date2seconds(gauge_landfall[0])),
kennedy_gauge['mean_water'] + kennedy_gauge['depth'],
'k-',
label='Gauge Data')
# Add GeoClaw gauge data
geoclaw_gauge = cd.gaugesoln
axes.plot(seconds2days(geoclaw_gauge.t -
date2seconds(gauge_landfall[1])),
geoclaw_gauge.q[3, :] + gauge_surface_offset[0],
'b--',
label="GeoClaw")
# Add ADCIRC gauge data
ADCIRC_gauge = ADCIRC_gauges[kennedy_gauge['gauge_no']]
axes.plot(seconds2days(ADCIRC_gauge[:, 0] - gauge_landfall[2]),
ADCIRC_gauge[:, 1] + gauge_surface_offset[1],
'r-.',
label="ADCIRC")
# Fix up plot
axes.set_title('Station %s' % cd.gaugeno)
axes.set_xlabel('Days relative to landfall')
axes.set_ylabel('Surface (m)')
axes.set_xlim([-2, 1])
axes.set_ylim([-1, 5])
axes.set_xticks([-2, -1, 0, 1])
axes.set_xticklabels([r"$-2$", r"$-1$", r"$0$", r"$1$"])
axes.grid(True)
axes.legend()
plt.hold(False)
# surge.gauge_afteraxes(cd)
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = [-2, 1]
# plotaxes.xlabel = "Days from landfall"
# plotaxes.ylabel = "Surface (m)"
plotaxes.ylimits = [-1, 5]
plotaxes.title = 'Surface'
plotaxes.afteraxes = gauge_after_axes
# Plot surface as blue curve:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 3
plotitem.plotstyle = 'b-'
# =====================
# Gauge Location Plot
# =====================
gauge_xlimits = [-95.5, -94]
gauge_ylimits = [29.0, 30.0]
gauge_location_shrink = 0.75
def gauge_after_axes(cd):
plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.97)
surge_afteraxes(cd)
surge.gauge_locations(cd, gaugenos=[1, 2, 3, 4])
plt.title("Gauge Locations")
plotfigure = plotdata.new_plotfigure(name='Gauge Locations',
figno=fig_num_counter.get_counter())
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Surface'
plotaxes.scaled = True
plotaxes.xlimits = gauge_xlimits
plotaxes.ylimits = gauge_ylimits
plotaxes.afteraxes = gauge_after_axes
surge.add_surface_elevation(plotaxes,
plot_type='contourf',
contours=surface_contours,
shrink=gauge_location_shrink)
# surge.add_surface_elevation(plotaxes, plot_type="contourf")
add_custom_colorbar_ticks_to_axes(plotaxes, 'surface', surface_ticks,
surface_labels)
surge.add_land(plotaxes)
# plotaxes.plotitem_dict['surface'].amr_patchedges_show = [0,0,0,0,0,0,0]
# plotaxes.plotitem_dict['surface'].add_colorbar = False
# plotaxes.plotitem_dict['surface'].pcolor_cmap = plt.get_cmap('jet')
# plotaxes.plotitem_dict['surface'].pcolor_cmap = plt.get_cmap('gist_yarg')
# plotaxes.plotitem_dict['surface'].pcolor_cmin = 0.0
# plotaxes.plotitem_dict['surface'].pcolor_cmax = 5.0
plotaxes.plotitem_dict['surface'].amr_patchedges_show = [
0, 0, 0, 0, 0, 0, 0
]
plotaxes.plotitem_dict['land'].amr_patchedges_show = [0, 0, 0, 0, 0, 0, 0]
# ==============================================================
# Debugging Plots, only really work if using interactive plots
# ==============================================================
#
# Water Velocity Components
#
plotfigure = plotdata.new_plotfigure(
name='Velocity Components - Entire Domain',
figno=fig_num_counter.get_counter())
plotfigure.show = False
# X-Component
plotaxes = plotfigure.new_plotaxes()
plotaxes.axescmd = "subplot(121)"
plotaxes.title = 'Velocity, X-Component'
plotaxes.scaled = True
plotaxes.xlimits = gulf_xlimits
plotaxes.ylimits = gulf_ylimits
plotaxes.afteraxes = gulf_after_axes
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = surge.water_u
plotitem.pcolor_cmap = colormaps.make_colormap({
1.0: 'r',
0.5: 'w',
0.0: 'b'
})
plotitem.pcolor_cmin = -speed_limits[1]
plotitem.pcolor_cmax = speed_limits[1]
plotitem.colorbar_shrink = gulf_shrink
plotitem.add_colorbar = True
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.amr_patchedges_show = [1, 1, 1]
surge.add_land(plotaxes)
# Y-Component
plotaxes = plotfigure.new_plotaxes()
plotaxes.axescmd = "subplot(122)"
plotaxes.title = 'Velocity, Y-Component'
plotaxes.scaled = True
plotaxes.xlimits = gulf_xlimits
plotaxes.ylimits = gulf_ylimits
plotaxes.afteraxes = gulf_after_axes
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = surge.water_v
plotitem.pcolor_cmap = colormaps.make_colormap({
1.0: 'r',
0.5: 'w',
0.0: 'b'
})
plotitem.pcolor_cmin = -speed_limits[1]
plotitem.pcolor_cmax = speed_limits[1]
plotitem.colorbar_shrink = gulf_shrink
plotitem.add_colorbar = True
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.amr_patchedges_show = [1, 1, 1]
surge.add_land(plotaxes)
#
# Depth
#
plotfigure = plotdata.new_plotfigure(name='Depth - Entire Domain',
figno=fig_num_counter.get_counter())
plotfigure.show = False
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'depth'
plotaxes.scaled = True
plotaxes.xlimits = gulf_xlimits
plotaxes.ylimits = gulf_ylimits
plotaxes.afteraxes = gulf_after_axes
plotitem = plotaxes.new_plotitem(plot_type='2d_imshow')
plotitem.plot_var = 0
plotitem.imshow_cmap = colormaps.make_colormap({
1.0: 'r',
0.5: 'w',
0.0: 'b'
})
plotitem.imshow_cmin = 0
plotitem.imshow_cmax = 100
plotitem.colorbar_shrink = gulf_shrink
plotitem.add_colorbar = True
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.amr_patchedges_show = [1, 1, 1, 1, 1, 1, 1, 1, 1]
# Surge field
plotfigure = plotdata.new_plotfigure(name='Surge Field',
figno=fig_num_counter.get_counter())
plotfigure.show = ((surge_data.wind_forcing or surge_data.pressure_forcing)
and False)
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = gulf_xlimits
plotaxes.ylimits = gulf_ylimits
plotaxes.title = "Storm Surge Source Term S"
plotaxes.afteraxes = gulf_after_axes
plotaxes.scaled = True
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = surge.pressure_field + 1
plotitem.pcolor_cmap = plt.get_cmap('PuBu')
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 1e-3
plotitem.add_colorbar = True
plotitem.colorbar_shrink = gulf_shrink
plotitem.colorbar_label = "Source Strength"
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.amr_patchedges_show = [1, 1, 1, 1, 1, 0, 0]
surge.add_land(plotaxes)
plotfigure = plotdata.new_plotfigure(name='Friction/Coriolis Source',
figno=fig_num_counter.get_counter())
plotfigure.show = False
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = gulf_xlimits
plotaxes.ylimits = gulf_ylimits
plotaxes.title = "Friction/Coriolis Source"
plotaxes.afteraxes = surge_afteraxes
plotaxes.scaled = True
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = surge.pressure_field + 2
plotitem.pcolor_cmap = plt.get_cmap('PuBu')
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 1e-3
plotitem.add_colorbar = True
plotitem.colorbar_shrink = gulf_shrink
plotitem.colorbar_label = "Source Strength"
plotitem.amr_celledges_show = [0, 0, 0]
plotitem.amr_patchedges_show = [1, 1, 1, 1, 1, 0, 0]
surge.add_land(plotaxes)
#-----------------------------------------
# Parameters used only when creating html and/or latex hardcopy
# e.g., via pyclaw.plotters.frametools.printframes:
if article:
plotdata.printfigs = True # print figures
plotdata.print_format = 'png' # file format
plotdata.print_framenos = [54, 60, 66, 72, 78,
84] # list of frames to print
plotdata.print_gaugenos = [1, 2, 3, 4] # list of gauges to print
plotdata.print_fignos = [4, 5, 6, 7, 10, 3,
300] # list of figures to print
plotdata.html = True # create html files of plots?
plotdata.html_homelink = '../README.html' # pointer for top of index
plotdata.latex = False # create latex file of plots?
plotdata.latex_figsperline = 2 # layout of plots
plotdata.latex_framesperline = 1 # layout of plots
plotdata.latex_makepdf = False # also run pdflatex?
else:
plotdata.printfigs = True # print figures
plotdata.print_format = 'png' # file format
plotdata.print_framenos = 'all' # list of frames to print
plotdata.print_gaugenos = [1, 2, 3, 4] # list of gauges to print
plotdata.print_fignos = 'all' # list of figures to print
plotdata.html = True # create html files of plots?
plotdata.html_homelink = '../README.html' # pointer for top of index
plotdata.latex = True # create latex file of plots?
plotdata.latex_figsperline = 2 # layout of plots
plotdata.latex_framesperline = 1 # layout of plots
plotdata.latex_makepdf = False # also run pdflatex?
return plotdata
def setplot(plotdata=None):
#--------------------------
"""
Specify what is to be plotted at each frame.
Input: plotdata, an instance of pyclaw.plotters.data.ClawPlotData.
Output: a modified version of plotdata.
"""
import os
import numpy as np
import matplotlib.pyplot as plt
from clawpack.visclaw import geoplot, gaugetools, colormaps
import clawpack.clawutil.data as clawutil
import clawpack.amrclaw.data as amrclaw
import clawpack.geoclaw.data
import clawpack.geoclaw.multilayer.plot as ml_plot
if plotdata is None:
from clawpack.visclaw.data import ClawPlotData
plotdata = ClawPlotData()
from numpy import linspace
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.save_frames = False
# Load data from output
clawdata = clawutil.ClawInputData(2)
clawdata.read(os.path.join(plotdata.outdir, 'claw.data'))
amrdata = amrclaw.AmrclawInputData(clawdata)
amrdata.read(os.path.join(plotdata.outdir, 'amr.data'))
geodata = clawpack.geoclaw.data.GeoClawData()
geodata.read(os.path.join(plotdata.outdir, 'geoclaw.data'))
multilayer_data = clawpack.geoclaw.data.MultilayerData()
multilayer_data.read(os.path.join(plotdata.outdir, 'multilayer.data'))
# To plot gauge locations on pcolor or contour plot, use this as
# an afteraxis function:
def addgauges(current_data):
from clawpack.visclaw import gaugetools
gaugetools.plot_gauge_locations(current_data.plotdata, \
gaugenos='all', format_string='ko', add_labels=True)
# ========================================================================
# Generic helper functions
# ========================================================================
def pcolor_afteraxes(current_data):
# bathy_ref_lines(current_data)
gauge_locations(current_data)
def contour_afteraxes(current_data):
# gauge_locations(current_data)
# m_to_km_labels()
plt.hold(True)
pos = -80.0 * (23e3 / 180) + 500e3 - 5e3
plt.plot([pos, pos], [-300e3, 300e3], 'b', [pos - 5e3, pos - 5e3],
[-300e3, 300e3], 'y')
plt.hold(False)
wind_contours(current_data)
bathy_ref_lines(current_data)
def profile_afteraxes(current_data):
pass
def gauge_locations(current_data, gaugenos='all'):
plt.hold(True)
gaugetools.plot_gauge_locations(current_data.plotdata, \
gaugenos=gaugenos, format_string='kx', add_labels=True)
plt.hold(False)
# ========================================================================
# Axis limits
# xlimits = [amrdata.xlower,amrdata.xupper]
xlimits = [-100.0, 100.0]
# ylimits = [amrdata.ylower,amrdata.yupper]
ylimits = [-100.0, 100.0]
eta = [multilayer_data.eta[0], multilayer_data.eta[1]]
top_surface_limits = [eta[0] - 10, eta[0] + 10]
internal_surface_limits = [eta[1] - 5, eta[1] + 5]
depth_limits = [0.0, 0.4]
top_speed_limits = [0.0, 0.1]
internal_speed_limits = [0.0, 0.03]
# ========================================================================
# Surface Elevations
# ========================================================================
plotfigure = plotdata.new_plotfigure(name='Surface', figno=0)
plotfigure.show = True
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
ml_plot.add_inundation(plotaxes, 1, bounds=depth_limits)
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
ml_plot.add_inundation(plotaxes, 2, bounds=depth_limits)
ml_plot.add_surface_elevation(plotaxes, 2, bounds=internal_surface_limits)
ml_plot.add_colorbar = True
ml_plot.add_land(plotaxes, 2)
# ========================================================================
# Figure for cross section
# ========================================================================
plotfigure = plotdata.new_plotfigure(name='cross-section', figno=4)
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = xlimits
plotaxes.ylimits = ylimits
plotaxes.title = 'Cross section at y=0'
ml_plot.add_cross_section(plotaxes, 1)
ml_plot.add_cross_section(plotaxes, 2)
ml_plot.add_land_cross_section(plotaxes)
# ========================================================================
# Water Speed
# ========================================================================
plotfigure = plotdata.new_plotfigure(name='speed', figno=1)
plotfigure.show = False
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)'
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)'
ml_plot.add_speed(plotaxes, 2, bounds=internal_speed_limits)
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)'
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)'
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)'
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)'
ml_plot.add_y_velocity(plotaxes, 2)
ml_plot.add_land(plotaxes, 2)
#-----------------------------------------
# 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)')
#-----------------------------------------
# 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)
},
"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):
""""""
if plotdata is None:
from clawpack.visclaw.data import ClawPlotData
plotdata = ClawPlotData()
# clear any old figures,axes,items data
plotdata.clearfigures()
plotdata.format = 'binary'
# Load data from output
clawdata = clawutil.ClawInputData(2)
clawdata.read(os.path.join(plotdata.outdir, 'claw.data'))
physics = geodata.GeoClawData()
physics.read(os.path.join(plotdata.outdir, 'geoclaw.data'))
surge_data = geodata.SurgeData()
surge_data.read(os.path.join(plotdata.outdir, 'surge.data'))
friction_data = geodata.FrictionData()
friction_data.read(os.path.join(plotdata.outdir, 'friction.data'))
# Load storm track
track = surgeplot.track_data(os.path.join(plotdata.outdir, 'fort.track'))
# Set afteraxes function
def surge_afteraxes(cd):
surgeplot.surge_afteraxes(cd,
track,
plot_direction=False,
kwargs={"markersize": 4})
# Color limits
surface_limits = [physics.sea_level - 5.0, physics.sea_level + 5.0]
surface_ticks = [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5]
surface_labels = [str(value) for value in surface_ticks]
speed_limits = [0.0, 3.0]
speed_ticks = [0, 1, 2, 3]
speed_labels = [str(value) for value in speed_ticks]
wind_limits = [0, 66]
pressure_limits = [909, 1013]
friction_bounds = [0.01, 0.04]
def add_custom_colorbar_ticks_to_axes(axes,
item_name,
ticks,
tick_labels=None):
"""Adjust colorbar ticks and labels"""
axes.plotitem_dict[item_name].colorbar_ticks = ticks
axes.plotitem_dict[item_name].colorbar_tick_labels = tick_labels
def gulf_after_axes(cd):
# plt.subplots_adjust(left=0.08, bottom=0.04, right=0.97, top=0.96)
surge_afteraxes(cd)
def latex_after_axes(cd):
# plt.subplot_adjust()
surge_afteraxes(cd)
def friction_after_axes(cd):
# plt.subplots_adjust(left=0.08, bottom=0.04, right=0.97, top=0.96)
plt.title(r"Manning's $n$ Coefficient")
# surge_afteraxes(cd)
# ==========================================================================
# Plot specifications
# ==========================================================================
regions = {
"Coast": {
"xlimits": (clawdata.lower[0], clawdata.upper[0]),
"ylimits": (clawdata.lower[1], clawdata.upper[1]),
"figsize": (8, 7.5)
},
"Zhapo Station": {
"xlimits": (111.71666667, 111.91666667),
"ylimits": (21.48333333, 21.68333333),
"figsize": (6, 6)
},
"Landfall": {
"xlimits": (112.26, 112.86),
"ylimits": (21.3, 21.7),
"figsize": (6, 4)
},
"Quarry Bay": {
"xlimits": (114.11333333, 114.31333333),
"ylimits": (22.19111111, 22.39111111),
"figsize": (6, 6)
}
}
for (name, region_dict) in regions.items():
# Surface Figure
plotfigure = plotdata.new_plotfigure(name="Surface - %s" % name)
plotfigure.kwargs = {"figsize": region_dict['figsize']}
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = "Surface"
plotaxes.xlimits = region_dict["xlimits"]
plotaxes.ylimits = region_dict["ylimits"]
plotaxes.afteraxes = surge_afteraxes
surgeplot.add_surface_elevation(plotaxes, bounds=surface_limits)
surgeplot.add_land(plotaxes)
plotaxes.plotitem_dict['surface'].amr_patchedges_show = [0] * 10
plotaxes.plotitem_dict['land'].amr_patchedges_show = [0] * 10
add_custom_colorbar_ticks_to_axes(plotaxes, 'surface', surface_ticks,
surface_labels)
# Speed Figure
plotfigure = plotdata.new_plotfigure(name="Currents - %s" % name)
plotfigure.kwargs = {"figsize": region_dict['figsize']}
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = "Currents"
plotaxes.xlimits = region_dict["xlimits"]
plotaxes.ylimits = region_dict["ylimits"]
plotaxes.afteraxes = surge_afteraxes
surgeplot.add_speed(plotaxes, bounds=speed_limits)
surgeplot.add_land(plotaxes)
plotaxes.plotitem_dict['speed'].amr_patchedges_show = [0] * 10
plotaxes.plotitem_dict['land'].amr_patchedges_show = [0] * 10
add_custom_colorbar_ticks_to_axes(plotaxes, 'speed', speed_ticks,
speed_labels)
# Hurricane Forcing fields
#
# Pressure field
plotfigure = plotdata.new_plotfigure(name='Pressure')
plotfigure.show = surge_data.pressure_forcing and True
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = regions['Coast']['xlimits']
plotaxes.ylimits = regions['Coast']['ylimits']
plotaxes.title = "Pressure Field"
plotaxes.afteraxes = surge_afteraxes
plotaxes.scaled = True
surgeplot.add_pressure(plotaxes, bounds=pressure_limits)
surgeplot.add_land(plotaxes)
# Wind field
plotfigure = plotdata.new_plotfigure(name='Wind Speed')
plotfigure.show = surge_data.wind_forcing and True
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = regions['Coast']['xlimits']
plotaxes.ylimits = regions['Coast']['ylimits']
plotaxes.title = "Wind Field"
plotaxes.afteraxes = surge_afteraxes
plotaxes.scaled = True
surgeplot.add_wind(plotaxes, bounds=wind_limits)
surgeplot.add_land(plotaxes)
# ========================================================================
# Figures for gauges
# ========================================================================
plotfigure = plotdata.new_plotfigure(name='Gauge Surfaces',
figno=300,
type='each_gauge')
plotfigure.show = True
plotfigure.clf_each_gauge = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.xlimits = [-2.25, 0.75]
#plotaxes.xlabel = "Days from landfall"
#plotaxes.ylabel = "Surface (m)"
plotaxes.ylimits = [-1, 4]
plotaxes.title = 'Surface'
def gauge_afteraxes(cd):
axes = plt.gca()
surgeplot.plot_landfall_gauge(cd.gaugesoln, axes)
# Fix up plot - in particular fix time labels
axes.set_title('Station %s' % cd.gaugeno)
axes.set_xlabel('Days relative to landfall')
axes.set_ylabel('Surface (m)')
axes.set_xlim([-2.25, 0.75])
axes.set_ylim([-1, 4])
axes.set_xticks([-2.25, -1.25, -0.25, 0.75])
axes.set_xticklabels([r"$-2.25$", r"$-1.25$", r"$-0.25$", r"$0.75$"])
axes.grid(True)
plotaxes.afteraxes = gauge_afteraxes
# Plot surface as blue curve:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
#plotitem.plot_var = 3
#plotitem.plotstyle = 'b-'
#
# Gauge Location Plot
#
def gauge_location_afteraxes(cd):
#plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.97)
plt.subplots_adjust(left=0.12, bottom=0.06, right=0.97, top=0.92)
surge_afteraxes(cd)
gaugetools.plot_gauge_locations(cd.plotdata,
gaugenos='all',
format_string='ko',
add_labels=True)
plotfigure = plotdata.new_plotfigure(name="Gauge Locations")
plotfigure.show = True
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes()
plotaxes.title = 'Gauge Locations'
plotaxes.scaled = True
plotaxes.xlimits = [111.0, 115.0]
plotaxes.ylimits = [21.0, 22.5]
plotaxes.afteraxes = gauge_location_afteraxes
surgeplot.add_surface_elevation(plotaxes, bounds=surface_limits)
surgeplot.add_land(plotaxes)
plotaxes.plotitem_dict['surface'].amr_patchedges_show = [0] * 10
plotaxes.plotitem_dict['land'].amr_patchedges_show = [0] * 10
# -----------------------------------------
# Parameters used only when creating html and/or latex hardcopy
# e.g., via pyclaw.plotters.frametools.printframes:
plotdata.printfigs = True # print figures
plotdata.print_format = 'png' # file format
plotdata.print_framenos = 'all' # list of frames to print
plotdata.print_gaugenos = [1, 2] # list of gauges to print
plotdata.print_fignos = 'all' # list of figures to print
plotdata.html = True # create html files of plots?
plotdata.latex = True # create latex file of plots?
plotdata.latex_figsperline = 2 # layout of plots
plotdata.latex_framesperline = 1 # layout of plots
plotdata.latex_makepdf = False # also run pdflatex?
plotdata.parallel = True # parallel plotting
return plotdata
