def _add_vertical_lines_groups(self,
position,
render_figure=True,
**kwargs):
"""
Add vertical markers for each group that shares the color.
Parameters
----------
position: 2D array of float
The position on the signal axis. Each row corresponds to a
group.
kwargs
keywords argument for markers.vertical_line
"""
per_xray = len(position[0])
colors = itertools.cycle(
np.sort(plt.rcParams['axes.prop_cycle'].by_key()["color"] *
per_xray))
for x, color in zip(np.ravel(position), colors):
line = markers.vertical_line(x=x, color=color, **kwargs)
self.add_marker(line, render_figure=False)
if render_figure:
self._render_figure(plot=['signal_plot'])
def _add_vertical_lines_groups(self, position, **kwargs):
"""
Add vertical markers for each group that shares the color.
Parameters
----------
position: 2D array of float
The position on the signal axis. Each row corresponds to a
group.
kwargs
keywords argument for markers.vertical_line
"""
per_xray = len(position[0])
colors = itertools.cycle(np.sort(
plt.rcParams['axes.color_cycle'] * per_xray))
for x, color in zip(np.ravel(position), colors):
line = markers.vertical_line(x=x, color=color, **kwargs)
self.add_marker(line)
def _add_vertical_lines_groups(self, position, **kwargs):
"""
Add vertical markers for each group that shares the color.
Parameters
----------
position: 2D array of float
The position on the signal axis. Each row corresponds to a
group.
kwargs
keywords argument for markers.vertical_line
"""
per_xray = len(position[0])
colors = itertools.cycle(np.sort(
plt.rcParams['axes.color_cycle'] * per_xray))
for x, color in zip(np.ravel(position), colors):
line = markers.vertical_line(x=x, color=color, **kwargs)
self.add_marker(line)
def _add_vertical_lines_groups(self, position, **kwargs):
"""
Add vertical markers for each group that shares the color.
Parameters
----------
position: 2D array of float
The position on the signal axis. Each row corresponds to a
group.
kwargs
keywords argument for markers.vertical_line
"""
per_xray = len(position[0])
if LooseVersion(matplotlib.__version__) >= "1.5.3":
colors = itertools.cycle(np.sort(
plt.rcParams['axes.prop_cycle'].by_key()["color"] * per_xray))
else:
colors = itertools.cycle(np.sort(
plt.rcParams['axes.color_cycle'] * per_xray))
for x, color in zip(np.ravel(position), colors):
line = markers.vertical_line(x=x, color=color, **kwargs)
self.add_marker(line, render_figure=False)
self._render_figure(plot=['signal_plot'])