|
setplot.py.html |
 |
|
Source file: setplot.py
|
|
Directory: /Users/rjl/clawpack_src/clawpack_master/geoclaw/examples/tsunami/island-particles
|
|
Converted: Mon Feb 19 2024 at 14:26:51
using clawcode2html
|
|
This documentation file will
not reflect any later changes in the source file.
|
"""
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
from clawpack.visclaw import gaugetools
from clawpack.visclaw import particle_tools
from clawpack.visclaw import legend_tools
#--------------------------
def setplot(plotdata=None):
#--------------------------
"""
Specify what is to be plotted at each frame.
Input: plotdata, an instance of pyclaw.plotters.data.ClawPlotData.
Output: a modified version of plotdata.
"""
if plotdata is None:
from clawpack.visclaw.data import ClawPlotData
plotdata = ClawPlotData()
from clawpack.visclaw import colormaps, geoplot
plotdata.clearfigures() # clear any old figures,axes,items data
plotdata.format = 'ascii' # Format of output
print('Reading all gauges...')
gauge_solutions = particle_tools.read_gauges(gaugenos='all',
outdir=plotdata.outdir)
gaugenos_lagrangian = [k for k in gauge_solutions.keys() \
if gauge_solutions[k].gtype=='lagrangian']
gaugenos_stationary = [k for k in gauge_solutions.keys() \
if gauge_solutions[k].gtype=='stationary']
#print('+++ gaugenos_lagrangian: ',gaugenos_lagrangian)
def add_particles(current_data):
t = current_data.t
# plot recent path:
t_path_length = 0.5 # length of path trailing particle
kwargs_plot_path = {'linewidth':1, 'color':'k'}
particle_tools.plot_paths(gauge_solutions,
t1=t-t_path_length, t2=t,
gaugenos=gaugenos_lagrangian,
kwargs_plot=kwargs_plot_path)
# plot current location:
kwargs_plot_point = {'marker':'o','markersize':3,'color':'k'}
particle_tools.plot_particles(gauge_solutions, t,
gaugenos=gaugenos_lagrangian,
kwargs_plot=kwargs_plot_point)
# plot any stationary gauges:
gaugetools.plot_gauge_locations(current_data.plotdata, \
gaugenos=gaugenos_stationary, format_string='kx', add_labels=False)
kwargs={'loc':'upper left'}
legend_tools.add_legend(['Lagrangian particle','Stationary gauge'],
linestyles=['',''], markers=['o','x'],
loc='lower right', framealpha=0.5, fontsize=10)
def speed(current_data):
from pylab import sqrt, where, zeros
from numpy.ma import masked_where, allequal
q = current_data.q
h = q[0,:,:]
hs = sqrt(q[1,:,:]**2 + q[2,:,:]**2)
where_hpos = (h > 1e-3)
s = zeros(h.shape)
s[where_hpos] = hs[where_hpos]/h[where_hpos]
s = masked_where(h<1e-3, s) # if you want 0's masked out
#s = s * 1.94384 # convert to knots
return s
speed_cmap = colormaps.make_colormap({0:[0,1,1], 0.5:[1,1,0], 1:[1,0,0]})
#-----------------------------------------
# Figure for pcolor plot
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='pcolor', figno=0)
plotfigure.kwargs = {'figsize': (9,4)}
# Set up for axes in this figure:
plotaxes = plotfigure.new_plotaxes('pcolor')
plotaxes.title = 'Speed'
plotaxes.scaled = True
plotaxes.xlimits = [0,80]
plotaxes.ylimits = [0,50]
plotaxes.afteraxes = add_particles
# Water
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
plotitem.plot_var = speed
plotitem.pcolor_cmap = speed_cmap
plotitem.pcolor_cmin = 0.
plotitem.pcolor_cmax = 10
plotitem.add_colorbar = True
plotitem.colorbar_label = 'm/s'
plotitem.amr_celledges_show = [0,0,0]
plotitem.amr_patchedges_show = [1]
plotitem.amr_patchedges_color = ['m','g','w']
# Land
plotitem = plotaxes.new_plotitem(plot_type='2d_pcolor')
#plotitem.show = False
plotitem.plot_var = geoplot.land
plotitem.pcolor_cmap = geoplot.land_colors
plotitem.pcolor_cmin = 0.0
plotitem.pcolor_cmax = 100.0
plotitem.add_colorbar = False
plotitem.amr_celledges_show = [0,0,0]
# Add contour lines of topography:
plotitem = plotaxes.new_plotitem(plot_type='2d_contour')
plotitem.show = False
plotitem.plot_var = geoplot.topo
from numpy import arange, linspace
plotitem.contour_levels = arange(-75,75,10)
#plotitem.contour_nlevels = 10
plotitem.amr_contour_colors = ['g'] # color on each level
plotitem.kwargs = {'linestyles':'solid'}
plotitem.amr_contour_show = [1,1,1] # show contours only on finest level
plotitem.celledges_show = 0
plotitem.patchedges_show = 0
#-----------------------------------------
# Figures for gauges
#-----------------------------------------
plotfigure = plotdata.new_plotfigure(name='Surface', 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 = [-25,50]
plotaxes.title = 'Surface' # reset in fix_gauge
# Plot surface as blue curve:
plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
plotitem.plot_var = 3
plotitem.plotstyle = 'b-'
def fix_gauge(current_data):
from pylab import plot, title
t = current_data.t
plot(t, 0*t, 'k')
gaugeno = current_data.gaugeno
if gaugeno in gaugenos_stationary:
title('Surface elevation at stationary gauge %s' % gaugeno)
else:
title('Surface elevation at lagrangian gauge %s' % gaugeno)
plotaxes.afteraxes = fix_gauge
#-----------------------------------------
# Parameters used only when creating html and/or latex hardcopy
# e.g., via pyclaw.plotters.frametools.printframes:
plotdata.printfigs = True # print figures
plotdata.print_format = 'png' # file format
plotdata.print_framenos = range(40)
plotdata.print_gaugenos = [15,25] # list of gauges to print
plotdata.print_fignos = 'all' # list of figures to print
plotdata.html = True # create html files of plots?
plotdata.html_homelink = '../README.html' # pointer for top of index
plotdata.latex = True # create latex file of plots?
plotdata.latex_figsperline = 2 # layout of plots
plotdata.latex_framesperline = 1 # layout of plots
plotdata.latex_makepdf = False # also run pdflatex?
plotdata.parallel = True # make multiple frame png's at once
plotdata.html_movie_width = 700 # width used in JSAnimation
return plotdata