hist_pre_tag.rescale(1 / (hist_pre_tag.bins()[1] - hist_pre_tag.bins()[0]))
if flavor == 'BB':
color = 'mediumblue'
elif flavor == 'BL':
color = 'cornflowerblue'
elif flavor == 'CC':
color = 'seagreen'
elif flavor == 'CL':
color = 'mediumspringgreen'
else:
color = 'gold'
plt.figure(1)
plt.bar(hist_post_tag.bins(), hist_post_tag.frequencies(), width = (hist_post_tag.bins()[1] - hist_post_tag.bins()[0]), color = color, edgecolor = 'black',\
linewidth = 0.5, bottom = accum_hist_post_tag.frequencies(), label = flavor)
plt.figure(2)
plt.bar(hist_pre_tag.bins(), hist_pre_tag.frequencies(), width = (hist_pre_tag.bins()[1] - hist_pre_tag.bins()[0]), color = color, edgecolor = 'black', \
linewidth = 0.5, bottom = accum_hist_pre_tag.frequencies(), label = flavor)
accum_hist_post_tag.combine(hist_post_tag)
accum_hist_pre_tag.combine(hist_pre_tag)
# Plotting Data
print '...processing Data histograms...'
hist_tag_name = pt_label + '_2TAG_LL_' + var + '.pickle'
hist_notag_name = pt_label + '_NOT2TAG_LL_' + var + '.pickle'
with open(os.path.join(directory, 'Data', var, hist_tag_name), 'rb') as f:
hist_post_tag = pickle.load(f)
with open(os.path.join(directory, 'Data', var, hist_notag_name), 'rb') as f:
