I'm plot multiple subplots using this code:
f, axes = plt.subplots(7, 1, sharex='col', figsize=(13, 20))
for i in range(simulations):
delta = numpy.zeros((simulations+samples, simulations+samples))
data_x = ensamble_x + sample_x[i*100:(i*100)+100]
data_y = ensamble_y + sample_y[i*100:(i*100)+100]
for j in range(simulations+samples):
for k in range(simulations+samples):
if j <= k:
dist = similarity_measure((data_x[j].flatten(), data_y[j].flatten()), (data_x[k].flatten(), data_y[k].flatten()))
#delta[j, k] = delta[k, j] = numpy.mean(dist)
model = manifold.TSNE(n_components=2, random_state=0)
coords = model.fit_transform(delta)
axes[i].scatter(coords[:100, 0], coords[:100, 1], marker='x', c=colors[i], s=50, edgecolor='None')
axes[i].scatter(coords[100:, 0], coords[100:, 1], marker='o', c=colors, s=50, edgecolor='None')
axes[i].set_title('Simulation '+str(i+1))
markers = []
labels = [str(n+1) for n in range(simulations)]
for i in range(simulations):
markers.append(Line2D([0], [0], linestyle='None', marker="o", markersize=10, markeredgecolor="none", markerfacecolor=colors[i]))
plt.legend(markers, labels, numpoints=1, bbox_to_anchor=(1.0, -0.055), ncol=simulations)
plt.tight_layout()
plt.savefig('Simulations.pdf', format='pdf')
Which generates something like this:
However, the saved pdf is cutting off half of the legend. I've tried to change the figsize parameter, but it didn't work.
How do I force the inclusion of the legend on the saved plot?
I've tried to use:
markers = []
labels = [str(n+1) for n in range(simulations)]
for i in range(simulations):
markers.append(Line2D([0], [0], linestyle='None', marker="o", markersize=10, markeredgecolor="none", markerfacecolor=colors[i]))
lgd = plt.legend(markers, labels, numpoints=1, bbox_to_anchor=(1.0, -0.055), ncol=simulations)
plt.tight_layout()
plt.savefig('Simulations.pdf', bbox_extra_artists=(lgd,), format='pdf')
With no success too.
