The second subplot is just the first image with an overlay ploted. In the second plot there appears to have white padding/boarder. How do I remove this padding/whitespace?
For completness, here is the fragment of code that performs the plotting:
fig, ax = plt.subplots(1, 2)
fig.set_size_inches(16, 6, forward=True)
plt.subplots_adjust(0.05, 0.05, 0.95, 0.95, 0.05, 0.05)
ax[0].set_title("Region Labels")
ax[0].imshow(image_labels)
ax[1].set_title("Region Connectivity Graph")
ax[1].imshow(image_labels)
for edge in edges:
ax[1].plot([centers[edge[0]][0],centers[edge[1]][0]],
[centers[edge[0]][1],centers[edge[1]][1]])
for a in ax:
a.set_xticks(())
a.set_yticks(())
plt.show()
The python plotting library matplotlib will by default add margins to any plot that it generates. They can be reduced to a certain degree through some options of savefig() , namely bbox_inches='tight' and pad_inches=0 .
We can use the plt. subplots_adjust() method to change the space between Matplotlib subplots. The parameters wspace and hspace specify the space reserved between Matplotlib subplots.
subplots_adjust() Method to Change Space Between Subplots in Matplotlib. We can use the plt. subplots_adjust() method to change the space between Matplotlib subplots. wspace and hspace specify the space reserved between Matplotlib subplots.
pad: This parameter is used for padding between the figure edge and the edges of subplots, as a fraction of the font size. h_pad, w_pad: These parameter are used for padding (height/width) between edges of adjacent subplots, as a fraction of the font size.
By default, Matplotlib adds some margin to plotted data. I cant test it because it dont have your image_labels
and centers
, but this should normally work:
ax[1].autoscale_view('tight')
An alternative would be to manually set the xlim and ylim of the axes:
ax[1].set_xlim(0,image_labels.shape[1])
ax[1].set_ylim(0,image_labels.shape[0])
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With