rnk_ax.set_ylabel('%s rank' % plotting_label, color='r')
fap_ax.set_ylabel('%s FAP' % plotting_label, color='b')
rnk_ax.set_yscale('linear')
fap_ax.set_yscale('log')
rnk_ax.yaxis.set_label_position('left')
rnk_ax.yaxis.tick_left()
fap_ax.yaxis.set_label_position('right')
fap_ax.yaxis.tick_right()
### save figure
figname = isp.timeseriesfig(
gdbdir, ifo, opts.classifier, filetag, int(opts.plotting_gps_start),
int(opts.plotting_gps_end - opts.plotting_gps_start))
if opts.verbose:
print ' saving : %s' % figname
fig.savefig(figname)
isp.plt.close(fig)
if not opts.skip_gracedb_upload:
message = "iDQ fap and glitch-rank timeseries plot for " + opts.classifier + " at " + ifo + ":"
if opts.verbose:
print " %s" % message
gracedb.writeLog(opts.gracedb_id,
message=message,
filename=figname,
tagname=idq.tagnames + ['data_quality'])
edgecolor='none',
alpha=0.1,
)
# save plot
plt.setp(fig, figwidth=10, figheight=4)
#figname = '%s/%s_idq_%s_rank_fap_%s%d-%d.png' % (
# opts.output_dir,
# opts.ifo,
# opts.classifier,
# opts.tag,
# int(opts.plotting_gps_start),
# int(opts.plotting_gps_end - opts.plotting_gps_start))
figname = isp.timeseriesfig(
opts.output_dir, opts.ifo, opts.classifier, opts.tag,
int(opts.plotting_gps_start),
int(opts.plotting_gps_end - opts.plotting_gps_start))
if opts.verbose:
print '\tsaving ' + figname
fig.savefig(figname)
plt.close(fig)
if not opts.skip_gracedb_upload:
### write log message to gracedb and upload file
gracedb.writeLog(opts.gracedb_id, message="iDQ fap and glitch-rank timeseries plot for " + opts.classifier +\
" at "+opts.ifo+":", filename=figname, tagname='data_quality')
#=================================================
# write summary file
#summary_filename = '%s/%s_idq_%s_summary_%s%d-%d.txt' % (
fap_ax.set_xlabel('Time [sec] since %.3f'%to, visible=False)
rnk_ax.set_ylabel('%s rank' % plotting_label, color='r')
fap_ax.set_ylabel('%s FAP' % plotting_label, color='b')
rnk_ax.set_yscale('linear')
fap_ax.set_yscale('log')
rnk_ax.yaxis.set_label_position('left')
rnk_ax.yaxis.tick_left()
fap_ax.yaxis.set_label_position('right')
fap_ax.yaxis.tick_right()
### save figure
figname = isp.timeseriesfig(gdbdir, ifo, opts.classifier, filetag, int(opts.plotting_gps_start), int(opts.plotting_gps_end-opts.plotting_gps_start))
if opts.verbose:
print ' saving : %s'%figname
fig.savefig(figname)
isp.plt.close(fig)
if not opts.skip_gracedb_upload:
message = "iDQ fap and glitch-rank timeseries plot for " + opts.classifier + " at "+ifo+":"
if opts.verbose:
print " %s"%message
gracedb.writeLog(opts.gracedb_id, message=message, filename=figname, tagname='data_quality')
if opts.verbose:
print "Done"
color='k',
edgecolor='none',
alpha=0.1,
)
# save plot
plt.setp(fig, figwidth=10, figheight=4)
#figname = '%s/%s_idq_%s_rank_fap_%s%d-%d.png' % (
# opts.output_dir,
# opts.ifo,
# opts.classifier,
# opts.tag,
# int(opts.plotting_gps_start),
# int(opts.plotting_gps_end - opts.plotting_gps_start))
figname = isp.timeseriesfig(opts.output_dir, opts.ifo, opts.classifier, opts.tag, int(opts.plotting_gps_start), int(opts.plotting_gps_end-opts.plotting_gps_start))
if opts.verbose:
print '\tsaving ' + figname
fig.savefig(figname)
plt.close(fig)
if not opts.skip_gracedb_upload:
### write log message to gracedb and upload file
gracedb.writeLog(opts.gracedb_id, message="iDQ fap and glitch-rank timeseries plot for " + opts.classifier +\
" at "+opts.ifo+":", filename=figname, tagname='data_quality')
#=================================================
# write summary file
#summary_filename = '%s/%s_idq_%s_summary_%s%d-%d.txt' % (
# opts.output_dir,
