Exemplo n.º 1
0
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
Exemplo n.º 2
0
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
Exemplo n.º 3
0
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
Exemplo n.º 4
0
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