def plot_jointPoisson(ax):
core.show_axis(ax)
core.make_spines(ax)
# load the data
sampled = core.get_data('fig5/fig5_jointPoisson.npy')
target = core.get_data('fig5/fig5_jointTarget.npy')
aux.suppPlotDistributions(ax, sampled, target, errorBar=False)
ax.legend(loc='lower left', bbox_to_anchor=(0.02, 0.4))
ax.set_xlabel(r'$\mathbf{z}$, states')
ax.set_ylim([0., 0.79])
def plot_marginalSon(ax):
core.show_axis(ax)
core.make_spines(ax)
# load the data
sampled = core.get_data('fig5/fig5_margSon.npy')
target = core.get_data('fig5/fig5_margTarget.npy')
aux.suppPlotDistributions(ax, sampled, target)
ax.set_xlabel(r'neuron id')
ax.legend(loc='lower left', bbox_to_anchor=(0.2, 0.8), ncol=2, fontsize=8)
ax.set_ylim([0., 1.2])
def plot_marginalPoisson(ax):
# This is a tikz picture and it will be created in the tex document
core.show_axis(ax)
core.make_spines(ax)
# load the data
sampled = core.get_data('fig5/fig5_margPoisson.npy')
target = core.get_data('fig5/fig5_margTarget.npy')
aux.suppPlotDistributions(ax, sampled, target)
ax.set_xlabel(r'neuron id')
ax.legend(loc='lower left', bbox_to_anchor=(0.2, 0.8), ncol=2, fontsize=8)
ax.set_ylim([0., 1.2])