def _quantities2csv(quantities, point_quantities, centroids, point_i):
points_list = []
for quantity in quantities:
#core quantities that are exported from the interpolator
if quantity == 'stage':
points_list.append(point_quantities[0])
if quantity == 'elevation':
points_list.append(point_quantities[1])
if quantity == 'xmomentum':
points_list.append(point_quantities[2])
if quantity == 'ymomentum':
points_list.append(point_quantities[3])
#derived quantities that are calculated from the core ones
if quantity == 'depth':
points_list.append(point_quantities[0]
- point_quantities[1])
if quantity == 'momentum':
momentum = sqrt(point_quantities[2]**2
+ point_quantities[3]**2)
points_list.append(momentum)
if quantity == 'speed':
#if depth is less than 0.001 then speed = 0.0
if point_quantities[0] - point_quantities[1] < 0.001:
vel = 0.0
else:
if point_quantities[2] < 1.0e6:
momentum = sqrt(point_quantities[2]**2
+ point_quantities[3]**2)
vel = momentum / (point_quantities[0]
- point_quantities[1])
else:
momentum = 0
vel = 0
points_list.append(vel)
if quantity == 'bearing':
points_list.append(calc_bearing(point_quantities[2],
point_quantities[3]))
if quantity == 'xcentroid':
points_list.append(centroids[point_i][0])
if quantity == 'ycentroid':
points_list.append(centroids[point_i][1])
return points_list
def _quantities2csv(quantities, point_quantities, centroids, point_i):
points_list = []
for quantity in quantities:
#core quantities that are exported from the interpolator
if quantity == 'stage':
points_list.append(point_quantities[0])
if quantity == 'elevation':
points_list.append(point_quantities[1])
if quantity == 'xmomentum':
points_list.append(point_quantities[2])
if quantity == 'ymomentum':
points_list.append(point_quantities[3])
#derived quantities that are calculated from the core ones
if quantity == 'depth':
points_list.append(point_quantities[0] - point_quantities[1])
if quantity == 'momentum':
momentum = sqrt(point_quantities[2]**2 + point_quantities[3]**2)
points_list.append(momentum)
if quantity == 'speed':
#if depth is less than 0.001 then speed = 0.0
if point_quantities[0] - point_quantities[1] < 0.001:
vel = 0.0
else:
if point_quantities[2] < 1.0e6:
momentum = sqrt(point_quantities[2]**2 +
point_quantities[3]**2)
vel = momentum / (point_quantities[0] -
point_quantities[1])
else:
momentum = 0
vel = 0
points_list.append(vel)
if quantity == 'bearing':
points_list.append(
calc_bearing(point_quantities[2], point_quantities[3]))
if quantity == 'xcentroid':
points_list.append(centroids[point_i][0])
if quantity == 'ycentroid':
points_list.append(centroids[point_i][1])
return points_list
def _generate_figures(plot_quantity, file_loc, report, reportname, surface,
leg_label, f_list, gauges, locations, elev, gauge_index,
production_dirs, time_min, time_max, time_unit,
title_on, label_id, generate_fig, verbose):
""" Generate figures based on required quantities and gauges for
each sww file
"""
from os import sep, altsep, getcwd, mkdir, access, F_OK, environ
if generate_fig is True:
from pylab import ion, hold, plot, axis, figure, legend, savefig, \
xlabel, ylabel, title, close, subplot
if surface is True:
import pylab as p1
import mpl3d.mplot3d as p3
if report == True:
texdir = getcwd()+sep+'report'+sep
if access(texdir,F_OK) == 0:
mkdir (texdir)
if len(label_id) == 1:
label_id1 = label_id[0].replace(sep,'')
label_id2 = label_id1.replace('_','')
texfile = texdir + reportname + '%s' % label_id2
texfile2 = reportname + '%s' % label_id2
texfilename = texfile + '.tex'
fid = open(texfilename, 'w')
if verbose: log.critical('Latex output printed to %s' % texfilename)
else:
texfile = texdir+reportname
texfile2 = reportname
texfilename = texfile + '.tex'
fid = open(texfilename, 'w')
if verbose: log.critical('Latex output printed to %s' % texfilename)
else:
texfile = ''
texfile2 = ''
p = len(f_list)
n = []
n0 = 0
for i in range(len(f_list)):
n.append(len(f_list[i].get_time()))
if n[i] > n0: n0 = n[i]
n0 = int(n0)
m = len(locations)
model_time = num.zeros((n0, m, p), num.float)
stages = num.zeros((n0, m, p), num.float)
elevations = num.zeros((n0, m, p), num.float)
momenta = num.zeros((n0, m, p), num.float)
xmom = num.zeros((n0, m, p), num.float)
ymom = num.zeros((n0, m, p), num.float)
speed = num.zeros((n0, m, p), num.float)
bearings = num.zeros((n0, m, p), num.float)
due_east = 90.0*num.ones((n0, 1), num.float)
due_west = 270.0*num.ones((n0, 1), num.float)
depths = num.zeros((n0, m, p), num.float)
eastings = num.zeros((n0, m, p), num.float)
min_stages = []
max_stages = []
min_momentums = []
max_momentums = []
max_xmomentums = []
max_ymomentums = []
min_xmomentums = []
min_ymomentums = []
max_speeds = []
min_speeds = []
max_depths = []
model_time_plot3d = num.zeros((n0, m), num.float)
stages_plot3d = num.zeros((n0, m), num.float)
eastings_plot3d = num.zeros((n0, m),num.float)
if time_unit is 'mins': scale = 60.0
if time_unit is 'hours': scale = 3600.0
##### loop over each swwfile #####
for j, f in enumerate(f_list):
if verbose: log.critical('swwfile %d of %d' % (j, len(f_list)))
starttime = f.starttime
comparefile = file_loc[j] + sep + 'gauges_maxmins' + '.csv'
fid_compare = open(comparefile, 'w')
file0 = file_loc[j] + 'gauges_t0.csv'
fid_0 = open(file0, 'w')
##### loop over each gauge #####
for k in gauge_index:
if verbose: log.critical('Gauge %d of %d' % (k, len(gauges)))
g = gauges[k]
min_stage = 10
max_stage = 0
max_momentum = max_xmomentum = max_ymomentum = 0
min_momentum = min_xmomentum = min_ymomentum = 100
max_speed = 0
min_speed = 0
max_depth = 0
gaugeloc = str(locations[k])
thisfile = file_loc[j] + sep + 'gauges_time_series' + '_' \
+ gaugeloc + '.csv'
if j == 0:
fid_out = open(thisfile, 'w')
s = 'Time, Stage, Momentum, Speed, Elevation, xmom, ymom, Bearing \n'
fid_out.write(s)
#### generate quantities #######
for i, t in enumerate(f.get_time()):
if time_min <= t <= time_max:
w = f(t, point_id = k)[0]
z = f(t, point_id = k)[1]
uh = f(t, point_id = k)[2]
vh = f(t, point_id = k)[3]
depth = w-z
m = sqrt(uh*uh + vh*vh)
if depth < 0.001:
vel = 0.0
else:
vel = m / (depth + 1.e-6/depth)
bearing = calc_bearing(uh, vh)
model_time[i,k,j] = (t + starttime)/scale #t/60.0
stages[i,k,j] = w
elevations[i,k,j] = z
xmom[i,k,j] = uh
ymom[i,k,j] = vh
momenta[i,k,j] = m
speed[i,k,j] = vel
bearings[i,k,j] = bearing
depths[i,k,j] = depth
thisgauge = gauges[k]
eastings[i,k,j] = thisgauge[0]
s = '%.2f, %.2f, %.2f, %.2f, %.2f, %.2f, %.2f, %.2f,\n' \
% (t, w, m, vel, z, uh, vh, bearing)
fid_out.write(s)
if t == 0:
s = '%.2f, %.2f, %.2f\n' % (g[0], g[1], w)
fid_0.write(s)
if t/60.0 <= 13920: tindex = i
if w > max_stage: max_stage = w
if w < min_stage: min_stage = w
if m > max_momentum: max_momentum = m
if m < min_momentum: min_momentum = m
if uh > max_xmomentum: max_xmomentum = uh
if vh > max_ymomentum: max_ymomentum = vh
if uh < min_xmomentum: min_xmomentum = uh
if vh < min_ymomentum: min_ymomentum = vh
if vel > max_speed: max_speed = vel
if vel < min_speed: min_speed = vel
if z > 0 and depth > max_depth: max_depth = depth
s = '%.2f, %.2f, %.2f, %.2f, %s\n' \
% (max_stage, min_stage, z, thisgauge[0], leg_label[j])
fid_compare.write(s)
max_stages.append(max_stage)
min_stages.append(min_stage)
max_momentums.append(max_momentum)
max_xmomentums.append(max_xmomentum)
max_ymomentums.append(max_ymomentum)
min_xmomentums.append(min_xmomentum)
min_ymomentums.append(min_ymomentum)
min_momentums.append(min_momentum)
max_depths.append(max_depth)
max_speeds.append(max_speed)
min_speeds.append(min_speed)
#### finished generating quantities for each swwfile #####
model_time_plot3d[:,:] = model_time[:,:,j]
stages_plot3d[:,:] = stages[:,:,j]
eastings_plot3d[:,] = eastings[:,:,j]
if surface is True:
log.critical('Printing surface figure')
for i in range(2):
fig = p1.figure(10)
ax = p3.Axes3D(fig)
if len(gauges) > 80:
ax.plot_surface(model_time[:,:,j],
eastings[:,:,j],
stages[:,:,j])
else:
ax.plot3D(num.ravel(eastings[:,:,j]),
num.ravel(model_time[:,:,j]),
num.ravel(stages[:,:,j]))
ax.set_xlabel('time')
ax.set_ylabel('x')
ax.set_zlabel('stage')
fig.add_axes(ax)
p1.show()
surfacefig = 'solution_surface%s' % leg_label[j]
p1.savefig(surfacefig)
p1.close()
#### finished generating quantities for all swwfiles #####
# x profile for given time
if surface is True:
figure(11)
plot(eastings[tindex,:,j], stages[tindex,:,j])
xlabel('x')
ylabel('stage')
profilefig = 'solution_xprofile'
savefig('profilefig')
elev_output = []
if generate_fig is True:
depth_axis = axis([starttime/scale, time_max/scale, -0.1,
max(max_depths)*1.1])
stage_axis = axis([starttime/scale, time_max/scale,
min(min_stages), max(max_stages)*1.1])
vel_axis = axis([starttime/scale, time_max/scale,
min(min_speeds), max(max_speeds)*1.1])
mom_axis = axis([starttime/scale, time_max/scale,
min(min_momentums), max(max_momentums)*1.1])
xmom_axis = axis([starttime/scale, time_max/scale,
min(min_xmomentums), max(max_xmomentums)*1.1])
ymom_axis = axis([starttime/scale, time_max/scale,
min(min_ymomentums), max(max_ymomentums)*1.1])
cstr = ['g', 'r', 'b', 'c', 'm', 'y', 'k']
nn = len(plot_quantity)
no_cols = 2
if len(label_id) > 1: graphname_report = []
pp = 1
div = 11.
cc = 0
for k in gauge_index:
g = gauges[k]
count1 = 0
if report == True and len(label_id) > 1:
s = '\\begin{figure}[ht] \n' \
'\\centering \n' \
'\\begin{tabular}{cc} \n'
fid.write(s)
if len(label_id) > 1: graphname_report = []
#### generate figures for each gauge ####
for j, f in enumerate(f_list):
ion()
hold(True)
count = 0
where1 = 0
where2 = 0
word_quantity = ''
if report == True and len(label_id) == 1:
s = '\\begin{figure}[hbt] \n' \
'\\centering \n' \
'\\begin{tabular}{cc} \n'
fid.write(s)
for which_quantity in plot_quantity:
count += 1
where1 += 1
figure(count, frameon = False)
if which_quantity == 'depth':
plot(model_time[0:n[j]-1,k,j],
depths[0:n[j]-1,k,j], '-', c = cstr[j])
units = 'm'
axis(depth_axis)
if which_quantity == 'stage':
if elevations[0,k,j] <= 0:
plot(model_time[0:n[j]-1,k,j],
stages[0:n[j]-1,k,j], '-', c = cstr[j])
axis(stage_axis)
else:
plot(model_time[0:n[j]-1,k,j],
depths[0:n[j]-1,k,j], '-', c = cstr[j])
#axis(depth_axis)
units = 'm'
if which_quantity == 'momentum':
plot(model_time[0:n[j]-1,k,j],
momenta[0:n[j]-1,k,j], '-', c = cstr[j])
axis(mom_axis)
units = 'm^2 / sec'
if which_quantity == 'xmomentum':
plot(model_time[0:n[j]-1,k,j],
xmom[0:n[j]-1,k,j], '-', c = cstr[j])
axis(xmom_axis)
units = 'm^2 / sec'
if which_quantity == 'ymomentum':
plot(model_time[0:n[j]-1,k,j],
ymom[0:n[j]-1,k,j], '-', c = cstr[j])
axis(ymom_axis)
units = 'm^2 / sec'
if which_quantity == 'speed':
plot(model_time[0:n[j]-1,k,j],
speed[0:n[j]-1,k,j], '-', c = cstr[j])
axis(vel_axis)
units = 'm / sec'
if which_quantity == 'bearing':
plot(model_time[0:n[j]-1,k,j],bearings[0:n[j]-1,k,j],'-',
model_time[0:n[j]-1,k,j], due_west[0:n[j]-1], '-.',
model_time[0:n[j]-1,k,j], due_east[0:n[j]-1], '-.')
units = 'degrees from North'
#ax = axis([time_min, time_max, 0.0, 360.0])
legend(('Bearing','West','East'))
if time_unit is 'mins': xlabel('time (mins)')
if time_unit is 'hours': xlabel('time (hours)')
#if which_quantity == 'stage' \
# and elevations[0:n[j]-1,k,j] > 0:
# ylabel('%s (%s)' %('depth', units))
#else:
# ylabel('%s (%s)' %(which_quantity, units))
#ylabel('%s (%s)' %('wave height', units))
ylabel('%s (%s)' %(which_quantity, units))
if len(label_id) > 1: legend((leg_label),loc='upper right')
#gaugeloc1 = gaugeloc.replace(' ','')
#gaugeloc2 = gaugeloc1.replace('_','')
gaugeloc2 = str(locations[k]).replace(' ','')
graphname = '%sgauge%s_%s' %(file_loc[j],
gaugeloc2,
which_quantity)
if report == True and len(label_id) > 1:
figdir = getcwd()+sep+'report_figures'+sep
if access(figdir,F_OK) == 0 :
mkdir (figdir)
latex_file_loc = figdir.replace(sep,altsep)
# storing files in production directory
graphname_latex = '%sgauge%s%s' \
% (latex_file_loc, gaugeloc2,
which_quantity)
# giving location in latex output file
graphname_report_input = '%sgauge%s%s' % \
('..' + altsep +
'report_figures' + altsep,
gaugeloc2, which_quantity)
graphname_report.append(graphname_report_input)
# save figures in production directory for report
savefig(graphname_latex)
if report == True:
figdir = getcwd() + sep + 'report_figures' + sep
if access(figdir,F_OK) == 0:
mkdir(figdir)
latex_file_loc = figdir.replace(sep,altsep)
if len(label_id) == 1:
# storing files in production directory
graphname_latex = '%sgauge%s%s%s' % \
(latex_file_loc, gaugeloc2,
which_quantity, label_id2)
# giving location in latex output file
graphname_report = '%sgauge%s%s%s' % \
('..' + altsep +
'report_figures' + altsep,
gaugeloc2, which_quantity,
label_id2)
s = '\includegraphics' \
'[width=0.49\linewidth, height=50mm]{%s%s}' % \
(graphname_report, '.png')
fid.write(s)
if where1 % 2 == 0:
s = '\\\\ \n'
where1 = 0
else:
s = '& \n'
fid.write(s)
savefig(graphname_latex)
if title_on == True:
title('%s scenario: %s at %s gauge' % \
(label_id, which_quantity, gaugeloc2))
#title('Gauge %s (MOST elevation %.2f, ' \
# 'ANUGA elevation %.2f)' % \
# (gaugeloc2, elevations[10,k,0],
# elevations[10,k,1]))
savefig(graphname) # save figures with sww file
if report == True and len(label_id) == 1:
for i in range(nn-1):
if nn > 2:
if plot_quantity[i] == 'stage' \
and elevations[0,k,j] > 0:
word_quantity += 'depth' + ', '
else:
word_quantity += plot_quantity[i] + ', '
else:
if plot_quantity[i] == 'stage' \
and elevations[0,k,j] > 0:
word_quantity += 'depth' + ', '
else:
word_quantity += plot_quantity[i]
if plot_quantity[nn-1] == 'stage' and elevations[0,k,j] > 0:
word_quantity += ' and ' + 'depth'
else:
word_quantity += ' and ' + plot_quantity[nn-1]
caption = 'Time series for %s at %s location ' \
'(elevation %.2fm)' % \
(word_quantity, locations[k], elev[k])
if elev[k] == 0.0:
caption = 'Time series for %s at %s location ' \
'(elevation %.2fm)' % \
(word_quantity, locations[k],
elevations[0,k,j])
east = gauges[0]
north = gauges[1]
elev_output.append([locations[k], east, north,
elevations[0,k,j]])
label = '%sgauge%s' % (label_id2, gaugeloc2)
s = '\end{tabular} \n' \
'\\caption{%s} \n' \
'\label{fig:%s} \n' \
'\end{figure} \n \n' % (caption, label)
fid.write(s)
cc += 1
if cc % 6 == 0: fid.write('\\clearpage \n')
savefig(graphname_latex)
if report == True and len(label_id) > 1:
for i in range(nn-1):
if nn > 2:
if plot_quantity[i] == 'stage' and elevations[0,k,j] > 0:
word_quantity += 'depth' + ','
else:
word_quantity += plot_quantity[i] + ', '
else:
if plot_quantity[i] == 'stage' and elevations[0,k,j] > 0:
word_quantity += 'depth'
else:
word_quantity += plot_quantity[i]
where1 = 0
count1 += 1
index = j*len(plot_quantity)
for which_quantity in plot_quantity:
where1 += 1
s = '\includegraphics' \
'[width=0.49\linewidth, height=50mm]{%s%s}' % \
(graphname_report[index], '.png')
index += 1
fid.write(s)
if where1 % 2 == 0:
s = '\\\\ \n'
where1 = 0
else:
s = '& \n'
fid.write(s)
word_quantity += ' and ' + plot_quantity[nn-1]
label = 'gauge%s' %(gaugeloc2)
caption = 'Time series for %s at %s location ' \
'(elevation %.2fm)' % \
(word_quantity, locations[k], elev[k])
if elev[k] == 0.0:
caption = 'Time series for %s at %s location ' \
'(elevation %.2fm)' % \
(word_quantity, locations[k],
elevations[0,k,j])
thisgauge = gauges[k]
east = thisgauge[0]
north = thisgauge[1]
elev_output.append([locations[k], east, north,
elevations[0,k,j]])
s = '\end{tabular} \n' \
'\\caption{%s} \n' \
'\label{fig:%s} \n' \
'\end{figure} \n \n' % (caption, label)
fid.write(s)
if float((k+1)/div - pp) == 0.:
fid.write('\\clearpage \n')
pp += 1
#### finished generating figures ###
close('all')
return texfile2, elev_output
def _generate_figures(plot_quantity, file_loc, report, reportname, surface,
leg_label, f_list, gauges, locations, elev, gauge_index,
production_dirs, time_min, time_max, time_unit, title_on,
label_id, generate_fig, verbose):
""" Generate figures based on required quantities and gauges for
each sww file
"""
from os import sep, altsep, getcwd, mkdir, access, F_OK, environ
if generate_fig is True:
from pylab import ion, hold, plot, axis, figure, legend, savefig, \
xlabel, ylabel, title, close, subplot
if surface is True:
import pylab as p1
import mpl3d.mplot3d as p3
if report == True:
texdir = getcwd() + sep + 'report' + sep
if access(texdir, F_OK) == 0:
mkdir(texdir)
if len(label_id) == 1:
label_id1 = label_id[0].replace(sep, '')
label_id2 = label_id1.replace('_', '')
texfile = texdir + reportname + '%s' % label_id2
texfile2 = reportname + '%s' % label_id2
texfilename = texfile + '.tex'
fid = open(texfilename, 'w')
if verbose:
log.critical('Latex output printed to %s' % texfilename)
else:
texfile = texdir + reportname
texfile2 = reportname
texfilename = texfile + '.tex'
fid = open(texfilename, 'w')
if verbose:
log.critical('Latex output printed to %s' % texfilename)
else:
texfile = ''
texfile2 = ''
p = len(f_list)
n = []
n0 = 0
for i in range(len(f_list)):
n.append(len(f_list[i].get_time()))
if n[i] > n0: n0 = n[i]
n0 = int(n0)
m = len(locations)
model_time = num.zeros((n0, m, p), num.float)
stages = num.zeros((n0, m, p), num.float)
elevations = num.zeros((n0, m, p), num.float)
momenta = num.zeros((n0, m, p), num.float)
xmom = num.zeros((n0, m, p), num.float)
ymom = num.zeros((n0, m, p), num.float)
speed = num.zeros((n0, m, p), num.float)
bearings = num.zeros((n0, m, p), num.float)
due_east = 90.0 * num.ones((n0, 1), num.float)
due_west = 270.0 * num.ones((n0, 1), num.float)
depths = num.zeros((n0, m, p), num.float)
eastings = num.zeros((n0, m, p), num.float)
min_stages = []
max_stages = []
min_momentums = []
max_momentums = []
max_xmomentums = []
max_ymomentums = []
min_xmomentums = []
min_ymomentums = []
max_speeds = []
min_speeds = []
max_depths = []
model_time_plot3d = num.zeros((n0, m), num.float)
stages_plot3d = num.zeros((n0, m), num.float)
eastings_plot3d = num.zeros((n0, m), num.float)
if time_unit is 'mins': scale = 60.0
if time_unit is 'hours': scale = 3600.0
##### loop over each swwfile #####
for j, f in enumerate(f_list):
if verbose: log.critical('swwfile %d of %d' % (j, len(f_list)))
starttime = f.starttime
comparefile = file_loc[j] + sep + 'gauges_maxmins' + '.csv'
fid_compare = open(comparefile, 'w')
file0 = file_loc[j] + 'gauges_t0.csv'
fid_0 = open(file0, 'w')
##### loop over each gauge #####
for k in gauge_index:
if verbose: log.critical('Gauge %d of %d' % (k, len(gauges)))
g = gauges[k]
min_stage = 10
max_stage = 0
max_momentum = max_xmomentum = max_ymomentum = 0
min_momentum = min_xmomentum = min_ymomentum = 100
max_speed = 0
min_speed = 0
max_depth = 0
gaugeloc = str(locations[k])
thisfile = file_loc[j] + sep + 'gauges_time_series' + '_' \
+ gaugeloc + '.csv'
if j == 0:
fid_out = open(thisfile, 'w')
s = 'Time, Stage, Momentum, Speed, Elevation, xmom, ymom, Bearing \n'
fid_out.write(s)
#### generate quantities #######
for i, t in enumerate(f.get_time()):
if time_min <= t <= time_max:
w = f(t, point_id=k)[0]
z = f(t, point_id=k)[1]
uh = f(t, point_id=k)[2]
vh = f(t, point_id=k)[3]
depth = w - z
m = sqrt(uh * uh + vh * vh)
if depth < 0.001:
vel = 0.0
else:
vel = m / (depth + 1.e-6 / depth)
bearing = calc_bearing(uh, vh)
model_time[i, k, j] = (t + starttime) / scale #t/60.0
stages[i, k, j] = w
elevations[i, k, j] = z
xmom[i, k, j] = uh
ymom[i, k, j] = vh
momenta[i, k, j] = m
speed[i, k, j] = vel
bearings[i, k, j] = bearing
depths[i, k, j] = depth
thisgauge = gauges[k]
eastings[i, k, j] = thisgauge[0]
s = '%.2f, %.2f, %.2f, %.2f, %.2f, %.2f, %.2f, %.2f,\n' \
% (t, w, m, vel, z, uh, vh, bearing)
fid_out.write(s)
if t == 0:
s = '%.2f, %.2f, %.2f\n' % (g[0], g[1], w)
fid_0.write(s)
if t / 60.0 <= 13920: tindex = i
if w > max_stage: max_stage = w
if w < min_stage: min_stage = w
if m > max_momentum: max_momentum = m
if m < min_momentum: min_momentum = m
if uh > max_xmomentum: max_xmomentum = uh
if vh > max_ymomentum: max_ymomentum = vh
if uh < min_xmomentum: min_xmomentum = uh
if vh < min_ymomentum: min_ymomentum = vh
if vel > max_speed: max_speed = vel
if vel < min_speed: min_speed = vel
if z > 0 and depth > max_depth: max_depth = depth
s = '%.2f, %.2f, %.2f, %.2f, %s\n' \
% (max_stage, min_stage, z, thisgauge[0], leg_label[j])
fid_compare.write(s)
max_stages.append(max_stage)
min_stages.append(min_stage)
max_momentums.append(max_momentum)
max_xmomentums.append(max_xmomentum)
max_ymomentums.append(max_ymomentum)
min_xmomentums.append(min_xmomentum)
min_ymomentums.append(min_ymomentum)
min_momentums.append(min_momentum)
max_depths.append(max_depth)
max_speeds.append(max_speed)
min_speeds.append(min_speed)
#### finished generating quantities for each swwfile #####
model_time_plot3d[:, :] = model_time[:, :, j]
stages_plot3d[:, :] = stages[:, :, j]
eastings_plot3d[:, ] = eastings[:, :, j]
if surface is True:
log.critical('Printing surface figure')
for i in range(2):
fig = p1.figure(10)
ax = p3.Axes3D(fig)
if len(gauges) > 80:
ax.plot_surface(model_time[:, :, j], eastings[:, :, j],
stages[:, :, j])
else:
ax.plot3D(num.ravel(eastings[:, :, j]),
num.ravel(model_time[:, :, j]),
num.ravel(stages[:, :, j]))
ax.set_xlabel('time')
ax.set_ylabel('x')
ax.set_zlabel('stage')
fig.add_axes(ax)
p1.show()
surfacefig = 'solution_surface%s' % leg_label[j]
p1.savefig(surfacefig)
p1.close()
#### finished generating quantities for all swwfiles #####
# x profile for given time
if surface is True:
figure(11)
plot(eastings[tindex, :, j], stages[tindex, :, j])
xlabel('x')
ylabel('stage')
profilefig = 'solution_xprofile'
savefig('profilefig')
elev_output = []
if generate_fig is True:
depth_axis = axis(
[starttime / scale, time_max / scale, -0.1,
max(max_depths) * 1.1])
stage_axis = axis([
starttime / scale, time_max / scale,
min(min_stages),
max(max_stages) * 1.1
])
vel_axis = axis([
starttime / scale, time_max / scale,
min(min_speeds),
max(max_speeds) * 1.1
])
mom_axis = axis([
starttime / scale, time_max / scale,
min(min_momentums),
max(max_momentums) * 1.1
])
xmom_axis = axis([
starttime / scale, time_max / scale,
min(min_xmomentums),
max(max_xmomentums) * 1.1
])
ymom_axis = axis([
starttime / scale, time_max / scale,
min(min_ymomentums),
max(max_ymomentums) * 1.1
])
cstr = ['g', 'r', 'b', 'c', 'm', 'y', 'k']
nn = len(plot_quantity)
no_cols = 2
if len(label_id) > 1: graphname_report = []
pp = 1
div = 11.
cc = 0
for k in gauge_index:
g = gauges[k]
count1 = 0
if report == True and len(label_id) > 1:
s = '\\begin{figure}[ht] \n' \
'\\centering \n' \
'\\begin{tabular}{cc} \n'
fid.write(s)
if len(label_id) > 1: graphname_report = []
#### generate figures for each gauge ####
for j, f in enumerate(f_list):
ion()
hold(True)
count = 0
where1 = 0
where2 = 0
word_quantity = ''
if report == True and len(label_id) == 1:
s = '\\begin{figure}[hbt] \n' \
'\\centering \n' \
'\\begin{tabular}{cc} \n'
fid.write(s)
for which_quantity in plot_quantity:
count += 1
where1 += 1
figure(count, frameon=False)
if which_quantity == 'depth':
plot(model_time[0:n[j] - 1, k, j],
depths[0:n[j] - 1, k, j],
'-',
c=cstr[j])
units = 'm'
axis(depth_axis)
if which_quantity == 'stage':
if elevations[0, k, j] <= 0:
plot(model_time[0:n[j] - 1, k, j],
stages[0:n[j] - 1, k, j],
'-',
c=cstr[j])
axis(stage_axis)
else:
plot(model_time[0:n[j] - 1, k, j],
depths[0:n[j] - 1, k, j],
'-',
c=cstr[j])
#axis(depth_axis)
units = 'm'
if which_quantity == 'momentum':
plot(model_time[0:n[j] - 1, k, j],
momenta[0:n[j] - 1, k, j],
'-',
c=cstr[j])
axis(mom_axis)
units = 'm^2 / sec'
if which_quantity == 'xmomentum':
plot(model_time[0:n[j] - 1, k, j],
xmom[0:n[j] - 1, k, j],
'-',
c=cstr[j])
axis(xmom_axis)
units = 'm^2 / sec'
if which_quantity == 'ymomentum':
plot(model_time[0:n[j] - 1, k, j],
ymom[0:n[j] - 1, k, j],
'-',
c=cstr[j])
axis(ymom_axis)
units = 'm^2 / sec'
if which_quantity == 'speed':
plot(model_time[0:n[j] - 1, k, j],
speed[0:n[j] - 1, k, j],
'-',
c=cstr[j])
axis(vel_axis)
units = 'm / sec'
if which_quantity == 'bearing':
plot(model_time[0:n[j] - 1, k, j], bearings[0:n[j] - 1,
k, j], '-',
model_time[0:n[j] - 1, k,
j], due_west[0:n[j] - 1], '-.',
model_time[0:n[j] - 1, k,
j], due_east[0:n[j] - 1], '-.')
units = 'degrees from North'
#ax = axis([time_min, time_max, 0.0, 360.0])
legend(('Bearing', 'West', 'East'))
if time_unit is 'mins': xlabel('time (mins)')
if time_unit is 'hours': xlabel('time (hours)')
#if which_quantity == 'stage' \
# and elevations[0:n[j]-1,k,j] > 0:
# ylabel('%s (%s)' %('depth', units))
#else:
# ylabel('%s (%s)' %(which_quantity, units))
#ylabel('%s (%s)' %('wave height', units))
ylabel('%s (%s)' % (which_quantity, units))
if len(label_id) > 1:
legend((leg_label), loc='upper right')
#gaugeloc1 = gaugeloc.replace(' ','')
#gaugeloc2 = gaugeloc1.replace('_','')
gaugeloc2 = str(locations[k]).replace(' ', '')
graphname = '%sgauge%s_%s' % (file_loc[j], gaugeloc2,
which_quantity)
if report == True and len(label_id) > 1:
figdir = getcwd() + sep + 'report_figures' + sep
if access(figdir, F_OK) == 0:
mkdir(figdir)
latex_file_loc = figdir.replace(sep, altsep)
# storing files in production directory
graphname_latex = '%sgauge%s%s' \
% (latex_file_loc, gaugeloc2,
which_quantity)
# giving location in latex output file
graphname_report_input = '%sgauge%s%s' % \
('..' + altsep +
'report_figures' + altsep,
gaugeloc2, which_quantity)
graphname_report.append(graphname_report_input)
# save figures in production directory for report
savefig(graphname_latex)
if report == True:
figdir = getcwd() + sep + 'report_figures' + sep
if access(figdir, F_OK) == 0:
mkdir(figdir)
latex_file_loc = figdir.replace(sep, altsep)
if len(label_id) == 1:
# storing files in production directory
graphname_latex = '%sgauge%s%s%s' % \
(latex_file_loc, gaugeloc2,
which_quantity, label_id2)
# giving location in latex output file
graphname_report = '%sgauge%s%s%s' % \
('..' + altsep +
'report_figures' + altsep,
gaugeloc2, which_quantity,
label_id2)
s = '\includegraphics' \
'[width=0.49\linewidth, height=50mm]{%s%s}' % \
(graphname_report, '.png')
fid.write(s)
if where1 % 2 == 0:
s = '\\\\ \n'
where1 = 0
else:
s = '& \n'
fid.write(s)
savefig(graphname_latex)
if title_on == True:
title('%s scenario: %s at %s gauge' % \
(label_id, which_quantity, gaugeloc2))
#title('Gauge %s (MOST elevation %.2f, ' \
# 'ANUGA elevation %.2f)' % \
# (gaugeloc2, elevations[10,k,0],
# elevations[10,k,1]))
savefig(graphname) # save figures with sww file
if report == True and len(label_id) == 1:
for i in range(nn - 1):
if nn > 2:
if plot_quantity[i] == 'stage' \
and elevations[0,k,j] > 0:
word_quantity += 'depth' + ', '
else:
word_quantity += plot_quantity[i] + ', '
else:
if plot_quantity[i] == 'stage' \
and elevations[0,k,j] > 0:
word_quantity += 'depth' + ', '
else:
word_quantity += plot_quantity[i]
if plot_quantity[nn -
1] == 'stage' and elevations[0, k, j] > 0:
word_quantity += ' and ' + 'depth'
else:
word_quantity += ' and ' + plot_quantity[nn - 1]
caption = 'Time series for %s at %s location ' \
'(elevation %.2fm)' % \
(word_quantity, locations[k], elev[k])
if elev[k] == 0.0:
caption = 'Time series for %s at %s location ' \
'(elevation %.2fm)' % \
(word_quantity, locations[k],
elevations[0,k,j])
east = gauges[0]
north = gauges[1]
elev_output.append(
[locations[k], east, north, elevations[0, k, j]])
label = '%sgauge%s' % (label_id2, gaugeloc2)
s = '\end{tabular} \n' \
'\\caption{%s} \n' \
'\label{fig:%s} \n' \
'\end{figure} \n \n' % (caption, label)
fid.write(s)
cc += 1
if cc % 6 == 0: fid.write('\\clearpage \n')
savefig(graphname_latex)
if report == True and len(label_id) > 1:
for i in range(nn - 1):
if nn > 2:
if plot_quantity[i] == 'stage' and elevations[0, k,
j] > 0:
word_quantity += 'depth' + ','
else:
word_quantity += plot_quantity[i] + ', '
else:
if plot_quantity[i] == 'stage' and elevations[0, k,
j] > 0:
word_quantity += 'depth'
else:
word_quantity += plot_quantity[i]
where1 = 0
count1 += 1
index = j * len(plot_quantity)
for which_quantity in plot_quantity:
where1 += 1
s = '\includegraphics' \
'[width=0.49\linewidth, height=50mm]{%s%s}' % \
(graphname_report[index], '.png')
index += 1
fid.write(s)
if where1 % 2 == 0:
s = '\\\\ \n'
where1 = 0
else:
s = '& \n'
fid.write(s)
word_quantity += ' and ' + plot_quantity[nn - 1]
label = 'gauge%s' % (gaugeloc2)
caption = 'Time series for %s at %s location ' \
'(elevation %.2fm)' % \
(word_quantity, locations[k], elev[k])
if elev[k] == 0.0:
caption = 'Time series for %s at %s location ' \
'(elevation %.2fm)' % \
(word_quantity, locations[k],
elevations[0,k,j])
thisgauge = gauges[k]
east = thisgauge[0]
north = thisgauge[1]
elev_output.append(
[locations[k], east, north, elevations[0, k, j]])
s = '\end{tabular} \n' \
'\\caption{%s} \n' \
'\label{fig:%s} \n' \
'\end{figure} \n \n' % (caption, label)
fid.write(s)
if float((k + 1) / div - pp) == 0.:
fid.write('\\clearpage \n')
pp += 1
#### finished generating figures ###
close('all')
return texfile2, elev_output
