continue
header.append(filename)
infile = open(filename, "r")
h = []
while 1:
line = infile.readline()
if not line: break
if line[0] == "#": continue
if not re.match("(\d+)", line): continue
data = map(string.atof, re.split("\s+", line[:-1]))
h.append((data[0], tuple(data[1:])))
infile.close()
histograms.append(h)
print "# bin\t" + string.join(header, "\t\t")
ch = Histogram.Combine(histograms)
Histogram.Print(ch)
ch = Histogram.Normalize(ch)
print "# bin\t" + string.join(header, "\t\t")
Histogram.Print(ch)
if options.loglevel >= 1:
options.stdlog.write("# column=%i, num_values=%i\n" %
(options.columns[x], len(vals[x])))
if len(vals[x]) < options.min_data: continue
h = Histogram.Calculate(
vals[x],
no_empty_bins=options.no_empty_bins,
increment=options.bin_size,
min_value=options.min_value,
max_value=options.max_value,
dynamic_bins=options.dynamic_bins,
ignore_out_of_range=options.ignore_out_of_range)
if options.normalize: h = Histogram.Normalize(h)
if options.cumulative: h = Histogram.Cumulate(h)
if options.reverse_cumulative:
h = Histogram.Cumulate(h, direction=0)
hists.append(h)
for m in options.append:
if m == "normalize":
hists.append(Histogram.Normalize(h))
if options.headers:
titles.append(options.headers[x])
elif options.titles:
titles.append(options.titles[x])
else:
