Skip to content

Fix plot_perturbation to ensure nbl is not plotted #2797

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
cako wants to merge 6 commits into
base: main
Choose a base branch
from
Open

Fix plot_perturbation to ensure nbl is not plotted #2797

Changes from 1 commit
Commits
Show all changes
6 commits
Select commit Hold shift + click to select a range
b84d993
Update plotting.py
cako Nov 29, 2025
1e738f3
Merge branch 'main' into patch-1
cako Dec 27, 2025
b2d1d4f
fixes https://github.com/devitocodes/devito/pull/2797#discussion_r257…
cako Dec 31, 2025
24f5fd4
Change assertion to raise ValueError for nbl mismatch
cako Jan 12, 2026
02e3f6d
Merge branch 'devitocodes:main' into patch-1
cako Feb 9, 2026
78020ca
fix: whitespace
cako Feb 9, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 3 additions & 1 deletion examples/seismic/plotting.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -29,7 +29,9 @@ def plot_perturbation(model, model1, colorbar=True):
domain_size = 1.e-3 * np.array(model.domain_size)
extent = [model.origin[0], model.origin[0] + domain_size[0],
model.origin[1] + domain_size[1], model.origin[1]]
dv = np.transpose(model.vp.data) - np.transpose(model1.vp.data)
slices = tuple(slice(model.nbl, -model.nbl) for _ in range(2))
slices1 = tuple(slice(model1.nbl, -model1.nbl) for _ in range(2))
dv = np.transpose(model.vp.data[slices]) - np.transpose(model1.vp.data[slices1])
Comment thread
cako marked this conversation as resolved.
Outdated

plot = plt.imshow(dv, animated=True, cmap=cm.jet,
vmin=min(dv.reshape(-1)), vmax=max(dv.reshape(-1)),
Expand Down