def add_unique_figure_legend(fig: Figure, axes: Axes) -> None:
"""Add a legend with unique elements sorted by label to a figure.
The handles and labels are extracted from the ``axes``
Parameters
----------
fig : Figure
Figure to add the legend to.
axes : Axes
Axes plotted on the figure.
See Also
--------
plot_fit_overview
"""
handles = []
labels = []
for ax in axes.flatten():
ax_handles, ax_labels = ax.get_legend_handles_labels()
handles += ax_handles
labels += ax_labels
unique = [(h, l) for i, (h, l) in enumerate(zip(handles, labels))
if l not in labels[:i]]
unique.sort(key=lambda entry: entry[1])
fig.legend(*zip(*unique))
def plot_sequence(I: np.ndarray, ax: plt.Axes, funcs: list, **kwargs):
if len(funcs) != len(ax) - 1:
raise ValueError(
f'Received {len(funcs)} functions; expected {len(ax)}')
visualizations = [lambda X: X] + funcs
axf = ax.flatten()
for i, vis in enumerate(visualizations):
axf[i].imshow(vis(I), **kwargs)