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setplot.py.html |
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Source file: setplot.py
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Directory: /Users/rjl/clawpack_src/clawpack_master/geoclaw/examples/multi-layer/plane_wave
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Converted: Sun Apr 19 2020 at 14:33:13
using clawcode2html
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This documentation file will
not reflect any later changes in the source file.
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"""
Set up the plot figures, axes, and items to be done for each frame.
This module is imported by the plotting routines and then the
function setplot is called to set the plot parameters.
"""
from __future__ import absolute_import
from __future__ import print_function
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
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