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diff --git a/bin/rivet-cmphistos b/bin/rivet-cmphistos
--- a/bin/rivet-cmphistos
+++ b/bin/rivet-cmphistos
@@ -1,386 +1,386 @@
#! /usr/bin/env python
"""\
%prog - generate histogram comparison plots
USAGE:
%prog [options] yodafile1[:'PlotOption1=Value':'PlotOption2=Value':...] [path/to/yodafile2 ...] [PLOT:Key1=Val1:...]
where the plot options are described in the make-plots manual in the HISTOGRAM
section.
"""
import rivet, yoda, sys, os
rivet.util.check_python_version()
rivet.util.set_process_name(os.path.basename(__file__))
class Plot(dict):
"A tiny Plot object to help writing out the head in the .dat file"
def __repr__(self):
return "# BEGIN PLOT\n" + "\n".join("%s=%s" % (k,v) for k,v in self.iteritems()) + "\n# END PLOT\n\n"
def sanitiseString(s):
#s = s.replace('_','\\_')
#s = s.replace('^','\\^{}')
#s = s.replace('$','\\$')
s = s.replace('#','\\#')
s = s.replace('%','\\%')
return s
def getCommandLineOptions():
"Parse command line options"
from optparse import OptionParser, OptionGroup
parser = OptionParser(usage=__doc__)
parser.add_option("--no-rivet-refs", dest="RIVETREFS", action="store_false",
default=True, help="don't use Rivet reference data files")
parser.add_option('-o', '--outdir', dest='OUTDIR',
default='.', help='write data files into this directory')
parser.add_option("--hier-out", action="store_true", dest="HIER_OUTPUT", default=False,
help="write output dat files into a directory hierarchy which matches the analysis paths")
parser.add_option('--plotinfodir', dest='PLOTINFODIRS', action='append',
default=['.'], help='directory which may contain plot header information (in addition '
'to standard Rivet search paths)')
stygroup = OptionGroup(parser, "Plot style")
# stygroup.add_option("--refid", dest="REF_ID",
# default="REF", help="ID of reference data set (file path for non-REF data)")
stygroup.add_option("--linear", action="store_true", dest="LINEAR",
default=False, help="plot with linear scale")
stygroup.add_option("--mc-errs", action="store_true", dest="MC_ERRS",
default=False, help="show vertical error bars on the MC lines")
stygroup.add_option("--no-ratio", action="store_false", dest="RATIO",
default=True, help="disable the ratio plot")
stygroup.add_option("--rel-ratio", action="store_true", dest="RATIO_DEVIATION",
default=False, help="show the ratio plots scaled to the ref error")
stygroup.add_option("--no-plottitle", action="store_true", dest="NOPLOTTITLE",
default=False, help="don't show the plot title on the plot "
"(useful when the plot description should only be given in a caption)")
stygroup.add_option("--style", dest="STYLE", default="default",
help="change plotting style: default|bw|talk")
stygroup.add_option("-c", "--config", dest="CONFIGFILES", action="append", default=["~/.make-plots"],
help="additional plot config file(s). Settings will be included in the output configuration.")
parser.add_option_group(stygroup)
selgroup = OptionGroup(parser, "Selective plotting")
# selgroup.add_option("--show-single", dest="SHOW_SINGLE", choices=("no", "ref", "mc", "all"),
# default="mc", help="control if a plot file is made if there is only one dataset to be plotted "
# "[default=%default]. If the value is 'no', single plots are always skipped, for 'ref' and 'mc', "
# "the plot will be written only if the single plot is a reference plot or an MC "
# "plot respectively, and 'all' will always create single plot files.\n The 'ref' and 'all' values "
# "should be used with great care, as they will also write out plot files for all reference "
# "histograms without MC traces: combined with the -R/--rivet-refs flag, this is a great way to "
# "write out several thousand irrelevant reference data histograms!")
# selgroup.add_option("--show-mc-only", "--all", action="store_true", dest="SHOW_IF_MC_ONLY",
# default=False, help="make a plot file even if there is only one dataset to be plotted and "
# "it is an MC one. Deprecated and will be removed: use --show-single instead, which overrides this.")
# # selgroup.add_option("-l", "--histogram-list", dest="HISTOGRAMLIST",
# # default=None, help="specify a file containing a list of histograms to plot, in the format "
# # "/ANALYSIS_ID/histoname, one per line, e.g. '/DELPHI_1996_S3430090/d01-x01-y01'.")
selgroup.add_option("-m", "--match", action="append",
help="Only write out histograms whose $path/$name string matches these regexes. The argument "
"may also be a text file.",
dest="PATHPATTERNS")
selgroup.add_option("-M", "--unmatch", action="append",
help="Exclude histograms whose $path/$name string matches these regexes",
dest="PATHUNPATTERNS")
parser.add_option_group(selgroup)
return parser
def getHistos(filelist):
"""Loop over all input files. Only use the first occurrence of any REF-histogram
and the first occurrence in each MC file for every MC-histogram."""
refhistos = {}
mchistos = {}
for infile in filelist:
mchistos.setdefault(infile, {})
analysisobjects = yoda.read(infile, patterns=opts.PATHPATTERNS, unpatterns=opts.PATHUNPATTERNS)
for path, ao in analysisobjects.iteritems():
## Conventionally don't plot data objects whose names start with an underscore
if os.path.basename(path).startswith("_"):
continue
if path.startswith('/REF/'):
if not refhistos.has_key(path):
refhistos[path] = ao
else:
if not mchistos[infile].has_key(path):
mchistos[infile][path] = ao
return refhistos, mchistos
def getRivetRefData(refhistos, anas=None):
"Find all Rivet reference data files"
rivet_data_dirs = rivet.getAnalysisRefPaths()
dirlist = []
for d in rivet_data_dirs:
if anas is None:
import glob
dirlist.append(glob.glob(os.path.join(d, '*.yoda')))
else:
dirlist.append([os.path.join(d, a+'.yoda') for a in anas])
for filelist in dirlist:
# TODO: delegate to getHistos?
for infile in filelist:
analysisobjects = yoda.read(infile, patterns=opts.PATHPATTERNS, unpatterns=opts.PATHUNPATTERNS)
for path, ao in analysisobjects.iteritems():
if path.startswith('/REF/'):
if not refhistos.has_key(path):
refhistos[path] = ao
def parseArgs(args):
"""Look at the argument list and split it at colons, in order to separate
the file names from the plotting options. Store the file names and
file specific plotting options."""
filelist = []
plotoptions = {}
for a in args:
asplit = a.split(':')
path = asplit[0]
filelist.append(path)
plotoptions[path] = []
has_title = False
for i in xrange(1, len(asplit)):
## Add 'Title' if there is no = sign before math mode
if '=' not in asplit[i] or ('$' in asplit[i] and asplit[i].index('$') < asplit[i].index('=')):
asplit[i] = 'Title=%s' % asplit[i]
if asplit[i].startswith('Title='):
has_title = True
plotoptions[path].append(asplit[i])
if path != "PLOT" and not has_title:
plotoptions[path].append('Title=%s' % sanitiseString(os.path.basename( os.path.splitext(path)[0] )) )
return filelist, plotoptions
def setStyle(ao, style):
"""Set default plot styles (color and line width) colors borrowed from Google Ngrams"""
LINECOLORS = ['{[HTML]{EE3311}}', # red (Google uses 'DC3912')
'{[HTML]{3366FF}}', # blue
'{[HTML]{109618}}', # green
'{[HTML]{FF9900}}', # orange... weirdly this screws up if the F is lower-case!
'{[HTML]{990099}}'] # lilac
LINESTYLES = ['solid',
'dashed',
'dashdotted',
'dotted']
if opts.STYLE == 'talk':
ao.setAnnotation('LineWidth', '1pt')
if opts.STYLE == 'bw':
LINECOLORS = ['black!90',
'black!50',
'black!30']
c = style % len(LINECOLORS)
s = (style / len(LINECOLORS)) % len(LINESTYLES)
ao.setAnnotation('LineStyle', '%s' % LINESTYLES[s])
ao.setAnnotation('LineColor', '%s' % LINECOLORS[c])
def setOptions(ao, options):
"Set arbitrary annotations"
for opt in options:
key, val = opt.split('=', 1)
ao.setAnnotation(key, val)
# TODO: move to rivet.utils
def mkoutdir(outdir):
"Function to make output directories"
if not os.path.exists(outdir):
try:
os.makedirs(outdir)
except:
msg = "Can't make output directory '%s'" % outdir
raise Exception(msg)
if not os.access(outdir, os.W_OK):
msg = "Can't write to output directory '%s'" % outdir
raise Exception(msg)
def mkOutput(hpath, aos, plot=None, special=None):
"""
Make the .dat file string. We can't use "yoda.writeFLAT(anaobjects, 'foobar.dat')"
because the PLOT and SPECIAL blocks don't have a corresponding analysis object.
"""
output = ''
- if plot:
+ if plot is not None:
output += str(plot)
- if special:
+ if special is not None:
output += "\n"
output += "# BEGIN SPECIAL %s\n" % h
output += special
output += "# END SPECIAL\n\n"
from cStringIO import StringIO
sio = StringIO()
yoda.writeFLAT(aos, sio)
output += sio.getvalue()
return output
def writeOutput(output, h):
"Choose output file name and dir"
if opts.HIER_OUTPUT:
hparts = h.strip("/").split("/", 1)
ana = "_".join(hparts[:-1]) if len(hparts) > 1 else "ANALYSIS"
outdir = os.path.join(opts.OUTDIR, ana)
outfile = '%s.dat' % hparts[-1].replace("/", "_")
else:
hparts = h.strip("/").split("/")
outdir = opts.OUTDIR
outfile = '%s.dat' % "_".join(hparts)
mkoutdir(outdir)
outfilepath = os.path.join(outdir, outfile)
f = open(outfilepath, 'w')
f.write(output)
f.close()
#--------------------------------------------------------------------------------------------
if __name__ == '__main__':
## Command line parsing
parser = getCommandLineOptions()
opts, args = parser.parse_args()
## Split the input file names and the associated plotting options
## given on the command line into two separate lists
filelist, plotoptions = parseArgs(args)
## Remove the PLOT dummy file from the file list
if "PLOT" in filelist:
filelist.remove("PLOT")
## Read the .plot files
plotdirs = opts.PLOTINFODIRS + [os.path.abspath(os.path.dirname(f)) for f in filelist]
plotparser = rivet.mkStdPlotParser(plotdirs, opts.CONFIGFILES)
## Create a list of all histograms to be plotted, and identify if they are 2D histos (which need special plotting)
refhistos, mchistos = getHistos(filelist)
hpaths, h2ds = [], []
for aos in mchistos.values():
for p in aos.keys():
if p and p not in hpaths:
hpaths.append(p)
# TODO: Would be nicer to test via isHisto and dim or similar, or yoda.Scatter/Histo/Profile base classes
if type(aos[p]) in (yoda.Histo2D, yoda.Profile2D) and p not in h2ds:
h2ds.append(p)
## Read the reference data from the Rivet search paths and add them
## to the list of reference histograms
if opts.RIVETREFS:
getRivetRefData(refhistos)
## Now loop over all MC histograms and plot them
# TODO: factorize much of this into a rivet.utils mkplotfile(mchists, refhist, kwargs, is2d=False) function
for hpath in hpaths:
#print 'Currently looking at', h
## The analysis objects to be plotted
anaobjects = []
## List of histos to be drawn, to sync the legend and plotted lines
drawonly = []
## Is this a 2D histo?
is2d = (hpath in h2ds)
## Will we be drawing a ratio plot?
showratio = opts.RATIO and not is2d
## A Plot object to represent the PLOT section in the .dat file
plot = Plot()
if not is2d:
plot['Legend'] = '1'
plot['LogY'] = '1'
for key, val in plotparser.getHeaders(hpath).iteritems():
plot[key] = val
if plotoptions.has_key("PLOT"):
for key_val in plotoptions["PLOT"]:
key, val = [s.strip() for s in key_val.split("=")]
plot[key] = val
if opts.LINEAR:
plot['LogY'] = '0'
if opts.NOPLOTTITLE:
plot['Title'] = ''
if showratio and opts.RATIO_DEVIATION:
plot['RatioPlotMode'] = 'deviation'
if opts.STYLE == 'talk':
plot['PlotSize'] = '8,6'
elif opts.STYLE == 'bw' and showratio:
plot['RatioPlotErrorBandColor'] = 'black!10'
## Get a special object, if there is one for this path
special = plotparser.getSpecial(hpath)
## Handle reference data histogram, if there is one
ratioreference = None
if refhistos.has_key('/REF' + hpath):
refdata = refhistos['/REF' + hpath]
refdata.setAnnotation('Title', 'Data')
if not is2d:
refdata.setAnnotation('ErrorBars', '1')
refdata.setAnnotation('PolyMarker', '*')
refdata.setAnnotation('ConnectBins', '0')
if showratio:
ratioreference = '/REF'+hpath
## For 1D
anaobjects.append(refdata)
drawonly.append('/REF'+hpath)
## For 2D
if is2d:
s = mkOutput(hpath, [refdata], plot, special)
writeOutput(s, hpath+"/REF")
## Loop over the MC files to plot all instances of the histogram
styleidx = 0
for infile in filelist:
if mchistos.has_key(infile) and mchistos[infile].has_key(hpath):
hmc = mchistos[infile][hpath]
## Default linecolor, linestyle
if not is2d:
setStyle(hmc, styleidx)
styleidx += 1
if opts.MC_ERRS:
hmc.setAnnotation('ErrorBars', '1')
## Plot defaults from .plot files
for key, val in plotparser.getHistogramOptions(hpath).iteritems():
hmc.setAnnotation(key, val)
## Command line plot options
setOptions(hmc, plotoptions[infile])
hmc.setAnnotation('Path', infile+hpath)
anaobjects.append(hmc)
drawonly.append(infile+hpath)
if showratio and ratioreference is None:
ratioreference = infile + hpath
## For 2D, plot each histo now
if is2d:
s = mkOutput(hpath, [hmc], plot, special)
writeOutput(s, hpath+"/"+infile)
## Finally render the combined plots; only show the first one if it's 2D
# TODO: Only show the first *MC* one if 2D?
if is2d:
anaobjects = anaobjects[:1]
## Add final attrs to Plot
plot['DrawOnly'] = ' '.join(drawonly).strip()
if showratio and len(drawonly) > 1:
plot['RatioPlot'] = '1'
plot['RatioPlotReference'] = ratioreference
## Make the output and write to file
o = mkOutput(hpath, anaobjects, plot, special)
writeOutput(o, hpath)

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