Skip to content

Removes wait_for_close #150

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

Merged
StephenNneji merged 1 commit into from
Apr 24, 2025
Merged

Removes wait_for_close #150

Changes from all commits
Commits
Show all changes
1 commit
Select commit
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
20 changes: 5 additions & 15 deletions RATapi/utils/plotting.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -473,9 +473,7 @@ def plot_corner(
fig.tight_layout()
if return_fig:
return fig
fig.show()
if block:
fig.wait_for_close()
plt.show(block=block)


@assert_bayesian("Histogram")
Expand Down Expand Up @@ -585,9 +583,7 @@ def plot_one_hist(
if fig is not None:
if return_fig:
return fig
fig.show()
if block:
fig.wait_for_close()
plt.show(block=block)


@assert_bayesian("Contour")
Expand Down Expand Up @@ -662,9 +658,7 @@ def plot_contour(
if fig is not None:
if return_fig:
return fig
fig.show()
if block:
fig.wait_for_close()
plt.show(block=block)


def panel_plot_helper(plot_func: Callable, indices: list[int]) -> matplotlib.figure.Figure:
Expand Down Expand Up @@ -804,9 +798,7 @@ def validate_dens_type(dens_type: Union[str, None], param: str):
)
if return_fig:
return fig
fig.show()
if block:
fig.wait_for_close()
plt.show(block=block)


@assert_bayesian("Chain")
Expand Down Expand Up @@ -858,9 +850,7 @@ def plot_one_chain(axes: Axes, i: int):
fig = panel_plot_helper(plot_one_chain, params)
if return_fig:
return fig
fig.show()
if block:
fig.wait_for_close()
plt.show(block=block)


def plot_bayes(project: RATapi.Project, results: RATapi.outputs.BayesResults):
Expand Down