# Create branches in the tree
struct = MyStruct()
fit_toy_tree.Branch('mr0',rt.AddressOf(struct,'mr0'),'mr0/F')
fit_toy_tree.Branch('n',rt.AddressOf(struct,'n'),'n/F')
fit_toy_tree.Branch('b',rt.AddressOf(struct,'b'),'b/F')
fit_toy_tree.Branch('ntot',rt.AddressOf(struct,'ntot'),'ntot/F')
mr0_list = fit_toy_summary.get_mr0()
n_list = fit_toy_summary.get_n()
b_list = fit_toy_summary.get_b()
ntot_list = fit_toy_summary.get_ntot()
# Fill tree
for toy in range(fit_toy_summary.get_ntoys()):
struct.mr0 = mr0_list[toy]
struct.n = n_list[toy]
struct.b = b_list[toy]
struct.ntot = ntot_list[toy]
fit_toy_tree.Fill()
fit_toy_tree.Write()
#draw the toy canvses and get the distributions
bin_dists_high = get_canvases_and_68win(hists_high, "high")
bin_dists_low = get_canvases_and_68win(hists_low, "low")
#build an object containing a collpased list of the information from the bin distirbutions
error_sum_high = error_summary(bin_dists_high)
error_sum_low = error_summary(bin_dists_low)
#build the pull distribution
