def plot_resampled_dists(mft, fig_title = 'Permutation test', fig_no = 1, x_offset = 0.1):
n_resample = mft['n_resample']
print('Permutations evaluated: {}'.format(mft['n_resample']))
print('P values KL: {}'.format(mft['KL_data']['p_vals']))
print('P values means: {}'.format(mft['means_data']['p_vals']))
if 'pref_data' in mft.keys():
print('P values pref: {}'.format(mft['pref_data']['p_vals']))
#Plotting
p.figure(fig_no)
p.clf()
rp.pop_scatter_plot(mft['fit_A'], col = 'b', clf = True, subplot = (3,1,1), x_offset = -x_offset)
rp.pop_scatter_plot(mft['fit_B'], col = 'r', clf = False, subplot = (3,1,1), x_offset = x_offset)
if fig_title:
p.suptitle(fig_title)
p.subplot(3,1,2)
_plot_dist(mft, 'KL')
p.subplot(3,1,3)
_plot_dist(mft, 'means')