def plot_best_matching_results_on_signal(
self, signal, library, permanent_markers=True, *args, **kwargs
):
"""Plot the best matching diffraction vectors on a signal.
Parameters
----------
signal : ElectronDiffraction2D
The ElectronDiffraction2D signal object on which to plot the peaks.
This signal must have the same navigation dimensions as the peaks.
library : DiffractionLibrary
Diffraction library containing the phases and rotations
permanent_markers : bool
Permanently save the peaks as markers on the signal
*args :
Arguments passed to signal.plot()
**kwargs :
Keyword arguments passed to signal.plot()
"""
match_peaks = self.map(_peaks_from_best_template, library=library, inplace=False)
mmx, mmy = generate_marker_inputs_from_peaks(match_peaks)
signal.plot(*args, **kwargs)
for mx, my in zip(mmx, mmy):
m = hs.markers.point(x=mx, y=my, color="red", marker="x")
signal.add_marker(m, plot_marker=True, permanent=permanent_markers)
def plot_best_matching_results_on_signal(self,
signal,
permanent_markers=True,
*args,
**kwargs):
"""Plot the best matching diffraction vectors on a signal.
Parameters
----------
signal : ElectronDiffraction2D
The ElectronDiffraction2D signal object on which to plot the peaks.
This signal must have the same navigation dimensions as the peaks.
permanent_markers : bool
Permanently save the peaks as markers on the signal. Default True.
*args :
Arguments passed to signal.plot()
**kwargs :
Keyword arguments passed to signal.plot()
"""
match_peaks = self.vectors
mmx, mmy = generate_marker_inputs_from_peaks(match_peaks)
signal.plot(*args, **kwargs)
for mx, my in zip(mmx, mmy):
m = hs.markers.point(x=mx, y=my, color="red", marker="x")
signal.add_marker(m, plot_marker=True, permanent=permanent_markers)
