def _read1DHistogram(self, rz_id):
# Make sure this ID corresponds to a 1D histogram.
kind = ext.hkind(rz_id)
if kind != 1:
raise TypeError, "ID %d is not a 1D histogram" % rz_id
# Obtain histogram parameters.
title, num_bins, min, max = ext.hgive(rz_id)[:4]
# Construct the histogram.
result = hep.hist.Histogram1D(
num_bins, (min, max),
bin_type=float, error_model="symmetric",
title=title, rz_id=rz_id)
# Get the bin contents.
bin_contents = ext.hunpak(rz_id, " ", 0, num_bins)
assert len(bin_contents) == num_bins
# Get the bin errors.
bin_errors = ext.hunpke(rz_id, " ", 0, num_bins)
assert len(bin_errors) == num_bins
# Store them in the histogram.
for bin in xrange(0, num_bins):
result.setBinContent(bin, bin_contents[bin])
result.setBinError(bin, bin_errors[bin])
# Store underflow and overflow too.
result.setBinContent("underflow", ext.hi(rz_id, 0))
result.setBinContent("overflow", ext.hi(rz_id, num_bins + 1))
# Store the number of entries.
result.number_of_samples = ext.hnoent(rz_id)
return result
def _read2DHistogram(self, rz_id):
# Make sure this ID corresponds to a 2D histogram.
kind = ext.hkind(rz_id)
if kind != 2:
raise TypeError, "ID %d is not a 2D histogram" % rz_id
# Obtain histogram parameters.
title, num_x_bins, x_min, x_max, num_y_bins, y_min, y_max, loc = \
ext.hgive(rz_id)
# Construct the histogram.
result = hep.hist.Histogram(
(num_x_bins, (x_min, x_max)),
(num_y_bins, (y_min, y_max)),
bin_type=float, error_model="symmetric",
title=title, rz_id=rz_id)
# Fill the bin contents and errors.
for x in xrange(0, num_x_bins + 2):
# Compute our bin number from the HBOOK bin number.
if x == 0:
x_bin_number = "underflow"
elif x == num_x_bins + 1:
x_bin_number = "overflow"
else:
x_bin_number = x - 1
for y in xrange(0, num_y_bins + 2):
# Compute our bin number from the HBOOK bin number.
if y == 0:
y_bin_number = "underflow"
elif y == num_y_bins + 1:
y_bin_number = "overflow"
else:
y_bin_number = y - 1
content = ext.hij(rz_id, x, y)
error = ext.hije(rz_id, x, y)
result.setBinContent((x_bin_number, y_bin_number), content)
result.setBinError((x_bin_number, y_bin_number), error)
# Load the number of entries.
result.number_of_samples = ext.hnoent(rz_id)
return result