def initialise_axes(axes,hists,options,filename=None):
# hists is a list with potentially only one element
# try: hists[0]
# except:TypeError , hists=[hists]
xmins = [ hist.xedges[0] for hist in hists ]
ymins = [ hist.yedges[0] for hist in hists ]
xmaxs = [ hist.xedges[-1] for hist in hists ]
ymaxs = [ hist.yedges[-1] for hist in hists ]
xmin, xmax, ymin, ymax = min(xmins), min(xmaxs), min(ymins), max(ymaxs)
axes.set_xlabel( hists[0].xlabel )
axes.set_ylabel( hists[0].ylabel )
plt.axis( [xmin, xmax, ymin, ymax] )
if options.get("xlog") :
axes.set_xscale('log')
if options.get("ylog") :
axes.set_yscale('log')
if options.get('yticks') :
pylab.yticks(pylab.arange( ymin, ymax*1.001, options["yticks"] ) )
if options.get('xticks') :
pylab.xticks(pylab.arange( xmin, xmax*1.001, options["xticks"] ) )
if options.get('title') :
if filename:
# axes.set_title( file_dict.get(filename,{}).get('title'))
title=file_dict.get(filename,{}).get('title')
plt.text(0.5, 1.05, title, ha='center', fontsize=30,transform=axes.transAxes)
def plot_segments(axes,cs,options,filename=None,linestyle='solid'):
from matplotlib.path import Path
import matplotlib.patches as patches
colors=options["colors"]
# prepare labels for the legend!!
labels=[]
for i, level in enumerate(cs):
label = None
if file_dict.get(filename):
label = file_dict[filename].get('label')
if options.get('labels') is not None:
label=options["labels"][i]+label
else:
if options.get('labels') is not None:
label=options['labels'][i]
labels.append(label)
for i, level in enumerate(cs):
for j,cont in enumerate(level):
verts=[]
codes=[Path.MOVETO]
for coor in cont:
verts.append((coor[0] ,coor[1] ) )
for vert in verts[1:]:
codes.append(Path.LINETO)
path = Path(verts, codes)
if j ==0 :
patch = patches.PathPatch(path,edgecolor=colors[i], facecolor='none', lw=2,linestyle=linestyle,label=labels[i])
else:
patch = patches.PathPatch(path,edgecolor=colors[i], facecolor='none', lw=2,linestyle=linestyle)
axes.add_patch(patch)
def make_single_1d_overlay( histos, filenames, ext="png" ) : #FIXME: ugly, but it does the job poorly
linestyles=['dotted','solid','-.']
fs = [ r2m.RootFile(name) for name in filenames ]
for hname, options in histos.iteritems() :
fig = plt.figure( figsize=[10,7.5] )
plt.rcParams.update({'font.size':12,'axes.labelsize':30,'xtick.labelsize':25, 'ytick.labelsize':25 })
try:
hists = [f.get(hname) for f in fs ]
except ReferenceError:
print "ERROR: {} is not in one of the files".format(hname)
continue
xmins =[ hist.xedges[0] for hist in hists ]
xmaxs =[ hist.xedges[-1] for hist in hists ]
xmin, xmax = min(xmins), max(xmaxs)
ymin, ymax = options["zrange1d"]
r_splines=[]
for hist in hists :
r_splines.append( get_raw_spline_from_hist(hist,options))
fig = plt.figure( figsize=[10,7.5] )
plt.axis( [xmin, xmax, ymin, ymax] )
axes = plt.axes()
axes.set_xlabel( hist.xlabel )
axes.set_ylabel( options.get("ytitle",None) )
pylab.xticks(pylab.arange( xmin, xmax*1.001, options["xticks"] ) )
from config.file_dict import file_dict
for rsp,lst,name in zip(r_splines,linestyles,filenames):
(rxs,rys) = rsp
plt.plot(rxs,rys,'b',linestyle=lst,linewidth=3,label=file_dict.get(name))
# plt.legend()
plt.gcf().subplots_adjust(bottom=0.15)
plt.gcf().subplots_adjust(left=0.15)
print "Save to: ", fig_name( options, filenames[1] ) + "_overlay.%s" % ext
plt.savefig( fig_name( options, filenames[1] ) + "_overlay.%s" % ext )
def initialise_axes(hist,options,xmin=None, xmax=None,ymin=None, ymax=None,filename=None, xmin_offset=0.):
if xmin is None: xmin = hist.xedges[0]
if xmax is None: xmax = hist.xedges[-1]
if ymin is None and ymax is None: ymin,ymax = options["zrange1d"]
plt.figure()
# plt.rcParams.update({'font.size':18,})
fig = plt.figure( figsize=[10,7.5] )
# plt.rcParams.update({'font.size':25,'axes.labelsize':30 })
plt.rcParams.update({'axes.titlesize':30,'legend.fontsize':16,'axes.labelsize':35,'xtick.labelsize':25, 'ytick.labelsize':25 })
# plt.rcParams.update({'font.size':25,'axes.labelsize':30 })
plt.axis( [xmin, xmax, ymin, ymax] )
axes = plt.axes()
axes.set_xlabel( hist.xlabel )
axes.set_ylabel( options["ytitle"] )
# axes.set_title( "%s(%s)" % (options["title"], hist.xlabel) )
pylab.xticks(pylab.arange( xmin+xmin_offset, xmax*1.001, options["xticks"] ) )
pylab.yticks(pylab.arange( ymin, ymax*1.001, options.get('yticks') ) )
if options.get('title') :
if filename:
# axes.set_title( file_dict.get(filename,{}).get('title'))
title=file_dict.get(filename,{}).get('title')
plt.text(0.5, 1.05, title, ha='center', fontsize=30,transform=axes.transAxes)
return axes
