pylab.xscale('log')
pylab.yscale('log')
pylab.xlim(xmin=min(g), xmax=4*10**2)
pylab.legend()
pfile.close()
# adding to html page
name = '_cumul_hist_signif_fap'+str(FAPThr)
fname = InspiralUtils.set_figure_name(opts, name)
fname_thumb = InspiralUtils.savefig_pylal(filename=fname, doThumb=True, dpi_thumb=opts.figure_resolution)
fnameList.append(fname)
tagList.append(name)
pylab.close()
##############################################################################################################
### this next bit will help to print the options nicely on the html page
opts_dict = vars(opts)
html_filename = InspiralUtils.write_html_output(opts, [" --"+key.replace('_','-')+"="+str(opts_dict[key]) for key in opts_dict.keys()], fnameList, tagList, comment=comments)
InspiralUtils.write_cache_output(opts, html_filename, fnameList)
if opts.html_for_cbcweb:
html_filename_publish = InspiralUtils.wrifacte_html_output(opts, args, fnameList, tagList, cbcweb=True)
##############################################################################################################
if opts.verbose:
print 'Done.'
webpage.table[0].row[row_number].cell[2].text('Rank=' + '%.3f' % dt_candidate_rank)
webpage.table[0].row[row_number].cell[2].link("Images/" + os.path.basename(dtFigure),"Delta t distribution")
if opts.enable_output:
#save file containing list of channels
txtChannels = file(html_filename.replace(".html",".txt"),"w")
if opts.plot_z_distribution:
txtChannels.write("#channel Z rank\n")
else:
txtChannels.write("#channel Z\n")
txtChannels.write(listZvalues)
txtChannels.close()
webpage.cleanWrite('IUL')
InspiralUtils.write_cache_output(opts,html_filename,fnameList)
# Display the list of parameters for each channel
if opts.create_param_list:
for channel in channelList:
printDeltatList(opts,backgroundTable,channel,'peak_time',0.01,0.49)
if opts.process_background_only:
if opts.enable_output:
html_filename = opts.output_path + opts.prefix + opts.suffix + ".html"
webpage = webUtils.WebPage("Qscan background study",html_filename)
channel_counter = len(channelList)
n_rows = channel_counter + 1
