# top level path empty so break
if not topLevelPath:
break
plots_path = plots_paths.get(topLevelPath, {})
# create new canvas
canvasConfigs = copy.copy(plots_config.get('canvas', {}))
canvasConfigs.update(plots_path.get('canvas', {}))
canvas = Canvas(canvasConfigs.get('width', 500), canvasConfigs.get('height', 500))
canvas.SetRightMargin(canvasConfigs.get('rightmargin', 0.1))
canvas.SetBottomMargin(canvasConfigs.get('bottommargin', 0.2))
canvas.SetLeftMargin(canvasConfigs.get('leftmargin', 0.2))
if canvasConfigs.get('logy', False) == True:
canvas.set_logy()
# create a legend (an entry for each group)
legendConfigs = copy.copy(plots_config.get('legend', {}))
legendConfigs.update(plots_path.get('legend', {}))
legend_numColumns = legendConfigs.get('numcolumns', 1)
if "numcolumns" in legendConfigs: del legendConfigs['numcolumns']
legend = Legend(len(h), **legendConfigs)
legend.SetNColumns(legend_numColumns)
# scale the histograms before doing anything else
for hgroup in h:
if groups.get(hgroup.group).get('do not scale me', False):
logger.info("Skipping %s for scaling" % hgroup.group)
continue
for hist in hgroup:
# top level path empty so break
if not topLevelPath:
break
plots_path = plots_paths.get(topLevelPath, {})
# create new canvas
canvasConfigs = copy.copy(plots_config.get('canvas', {}))
canvasConfigs.update(plots_path.get('canvas', {}))
canvas = Canvas(canvasConfigs.get('width', 500), canvasConfigs.get('height', 500))
canvas.SetRightMargin(canvasConfigs.get('rightmargin', 0.1))
canvas.SetBottomMargin(canvasConfigs.get('bottommargin', 0.2))
canvas.SetLeftMargin(canvasConfigs.get('leftmargin', 0.2))
if canvasConfigs.get('logy', False) == True:
canvas.set_logy()
# create a legend (an entry for each group)
legendConfigs = copy.copy(plots_config.get('legend', {}))
legendConfigs.update(plots_path.get('legend', {}))
legend = Legend(len(h), **legendConfigs)
# scale the histograms before doing anything else
for hgroup in h:
if groups.get(hgroup.group).get('do not scale me', False):
logger.info("Skipping %s for scaling" % hgroup.group)
continue
for hist in hgroup:
# scale the histograms, look up weights by did
did = get_did(hist)
weight = weights.get(did)
