def plot_wiring_cs(wiring, den_borders, ax_borders, confidence_lvl,
binary, wd, add_fname='_CS'):
"""Same as plot_wiring, but using all contact sites
"""
fig = plt.figure()
ax = plt.gca()
max_val = np.max(wiring)
for k, b in enumerate(den_borders):
b += k * 1
wiring = np.concatenate((wiring[:b, :], np.ones((1, wiring.shape[1], 1)),
wiring[b:, :]), axis=0)
for k, b in enumerate(ax_borders):
b += k * 1
wiring = np.concatenate((wiring[:, :b], np.ones((wiring.shape[0], 1, 1)),
wiring[:, b:]), axis=1)
ax.matshow(np.max(wiring.transpose(1, 0, 2), axis=2), interpolation="none",
extent=[0, wiring.shape[0], wiring.shape[1], 0], cmap='gray')
ax.set_xlabel('Post', fontsize=18)
ax.set_ylabel('Pre', fontsize=18)
ax.set_xlim(0, wiring.shape[0])
ax.set_ylim(0, wiring.shape[1])
plt.grid(False)
plt.axis('off')
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="5%", pad=0.1)
a = np.array([[0, 1]])
plt.figure()
plt.imshow(a, cmap='gray')
plt.gca().set_visible(False)
cb = plt.colorbar(cax=cax, ticks=[0, 1])
if not binary:
cb.ax.set_yticklabels(['0', "%0.3g+" % max_val], rotation=90)
cb.set_label(u'Area of Synaptic Junctions [µm$^2$]')
else:
cb.ax.set_yticklabels(['0', '1'], rotation=90)
cb.set_label(u'Synaptic Junction')
plt.close()
if not binary:
fig.savefig(wd + '/figures/type_wiring%s_conf'
'lvl%d.png' % (add_fname, int(confidence_lvl*10)), dpi=600)
else:
fig.savefig(wd + '/figures/type_wiring%s_conf'
'lvl%d_binary.png' % (add_fname, int(confidence_lvl*10)), dpi=600)
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