def _rebuild_contour(self, x, y, z, r, reg):
g = ContourGraph(container_dict={'kind': 'h'})
self.graph = g
p = g.new_plot(xtitle='X', ytitle='Y')
ito = IrradiationTrayOverlay(component=p,
geometry=self.geometry,
show_labels=self.tool.show_labels)
self.irradiation_tray_overlay = ito
p.overlays.append(ito)
m = self._model_flux(reg, r)
s, p = g.new_series(z=m,
xbounds=(-r, r),
ybounds=(-r, r),
levels=self.tool.levels,
cmap=self.tool.color_map_name,
colorbar=True,
style='contour')
g.add_colorbar(s)
# pts = vstack((x, y)).T
s = g.new_series(x, y,
z=z,
style='cmap_scatter',
color_mapper=s.color_mapper,
marker='circle',
marker_size=self.tool.marker_size)
self.cmap_scatter = s[0]
def _rebuild_contour(self, x, y, z, r, reg):
g = ContourGraph(container_dict={'kind': 'h'})
self.graph = g
p = g.new_plot(xtitle='X', ytitle='Y')
ito = IrradiationTrayOverlay(component=p,
geometry=self.geometry,
show_labels=self.tool.show_labels)
self.irradiation_tray_overlay = ito
p.overlays.append(ito)
m = self._model_flux(reg, r)
s, p = g.new_series(z=m,
xbounds=(-r, r),
ybounds=(-r, r),
levels=self.tool.levels,
cmap=self.tool.color_map_name,
colorbar=True,
style='contour')
g.add_colorbar(s)
# pts = vstack((x, y)).T
s = g.new_series(x,
y,
z=z,
style='cmap_scatter',
color_mapper=s.color_mapper,
marker='circle',
marker_size=self.tool.marker_size)
self.cmap_scatter = s[0]
def _rebuild_contour(self, x, y, r, reg):
g = ContourGraph(container_dict={'kind': 'h'})
self.graph = g
p = g.new_plot(xtitle='X', ytitle='Y')
ito = IrradiationTrayOverlay(component=p, geometry=self.geometry)
p.overlays.append(ito)
g.new_series(x, y, type='scatter', marker='circle')
m = self._model_flux(reg, r)
s, p = g.new_series(z=m,
xbounds=(-r, r),
ybounds=(-r, r),
levels=self.tool.levels,
cmap=self.tool.color_map_name,
colorbar=True,
style='contour')
g.add_colorbar(s)
def _rebuild_contour(self, x, y, r, reg):
g = ContourGraph(container_dict={'kind': 'h'})
self.graph = g
p = g.new_plot(xtitle='X', ytitle='Y')
ito = IrradiationTrayOverlay(component=p,
geometry=self.geometry)
p.overlays.append(ito)
g.new_series(x, y, type='scatter',
marker='circle')
m = self._model_flux(reg, r)
s, p = g.new_series(z=m,
xbounds=(-r, r),
ybounds=(-r, r),
levels=self.tool.levels,
cmap=self.tool.color_map_name,
colorbar=True,
style='contour')
g.add_colorbar(s)
def _graph_contour(self, x, y, z, r, reg, refresh):
g = self.graph
if not isinstance(g, ContourGraph):
g = ContourGraph(container_dict={'kind': 'h',
'bgcolor': self.plotter_options.bgcolor})
self.graph = g
else:
g.clear()
p = g.new_plot(xtitle='X', ytitle='Y')
ito = IrradiationTrayOverlay(component=p,
geometry=self.geometry,
show_labels=self.show_labels)
self.irradiation_tray_overlay = ito
p.overlays.append(ito)
m = self._model_flux(reg, r)
s, p = g.new_series(z=m,
xbounds=(-r, r),
ybounds=(-r, r),
levels=self.levels,
cmap=self.color_map_name,
colorbar=True,
style='contour')
g.add_colorbar(s)
# pts = vstack((x, y)).T
s = g.new_series(x, y,
z=z,
style='cmap_scatter',
color_mapper=s.color_mapper,
marker='circle',
marker_size=self.marker_size)
self.cmap_scatter = s[0]
def load_graph(self, reader, window_title=''):
cg = ContourGraph(
container_dict=dict(kind='h',
# padding=40,
# shape=(2, 2),
# spacing=(12, 12)
)
)
z, metadata = self._extract_power_map_data(reader)
self._data = z
self._metadata = metadata
center_plot = cg.new_plot(
add=False,
padding=0,
width=400,
height=400,
resizable=''
# aspect_ratio=1
)
center_plot.index_axis.visible = False
center_plot.value_axis.visible = False
# from skimage.morphology import label
# z = label(z)
bounds = metadata['bounds']
# center_plot, names, rd = cg.new_series(z=z, style='contour',
cg.new_series(z=z, style='contour',
xbounds=bounds,
ybounds=bounds, )
bottom_plot = cg.new_plot(
add=False,
height=150,
resizable='h',
padding=0,
xtitle='mm',
ytitle='power')
right_plot = cg.new_plot(
add=False,
width=150,
resizable='v',
padding=0,
xtitle='mm',
ytitle='power')
right_plot.x_axis.orientation = 'right'
# right_plot.x_axis.title = 'mm'
right_plot.y_axis.orientation = 'top'
# right_plot.y_axis.title = 'power'
center = center_plot.plots['plot0'][0]
options = dict(style='cmap_scatter',
type='cmap_scatter',
marker='circle',
color_mapper=center.color_mapper)
cg.new_series(plotid=1, render_style='connectedpoints')
cg.new_series(plotid=1, **options)
right_plot.x_axis.orientation = 'right'
right_plot.y_axis.orientation = 'top'
right_plot.x_axis.mapper = center_plot.value_mapper
right_plot.y_axis.mapper = bottom_plot.value_mapper
right_plot.x_axis.axis_line_visible = False
right_plot.y_axis.axis_line_visible = False
s = cg.new_series(plotid=2, render_style='connectedpoints')[0]
s.orientation = 'v'
s = cg.new_series(plotid=2, **options)[0]
s.orientation = 'v'
center.index.on_trait_change(cg.metadata_changed,
'metadata_changed')
cg.show_crosshairs('blue')
# z = self._plot_properties(z, metadata, cg)
# cg.plots[0].data.set_data('z0', z)
gridcontainer = container_factory(kind='g',
padding=40,
shape=(2, 2),
spacing=(12, 12))
gridcontainer.add(center_plot)
gridcontainer.add(right_plot)
gridcontainer.add(bottom_plot)
cb = cg.make_colorbar(center)
cb.width = 50
cb.padding_left = 50
cg.plotcontainer.add(cb)
cg.plotcontainer.add(gridcontainer)
self.graph = cg
return cg
def load_graph(self, reader, window_title=''):
cg = ContourGraph(
container_dict=dict(kind='h',
# padding=40,
# shape=(2, 2),
# spacing=(12, 12)
)
)
z, metadata = self._extract_power_map_data(reader)
self._data = z
self._metadata = metadata
center_plot = cg.new_plot(
add=False,
padding=0,
width=400,
height=400,
resizable=''
# aspect_ratio=1
)
center_plot.index_axis.visible = False
center_plot.value_axis.visible = False
# from skimage.morphology import label
# z = label(z)
bounds = metadata['bounds']
# center_plot, names, rd = cg.new_series(z=z, style='contour',
cg.new_series(z=z, style='contour',
xbounds=bounds,
ybounds=bounds, )
bottom_plot = cg.new_plot(
add=False,
height=150,
resizable='h',
padding=0,
xtitle='mm',
ytitle='power')
right_plot = cg.new_plot(
add=False,
width=150,
resizable='v',
padding=0,
xtitle='mm',
ytitle='power')
right_plot.x_axis.orientation = 'right'
# right_plot.x_axis.title = 'mm'
right_plot.y_axis.orientation = 'top'
# right_plot.y_axis.title = 'power'
center = center_plot.plots['plot0'][0]
options = dict(style='cmap_scatter',
type='cmap_scatter',
marker='circle',
color_mapper=center.color_mapper)
cg.new_series(plotid=1, render_style='connectedpoints')
cg.new_series(plotid=1, **options)
right_plot.x_axis.orientation = 'right'
right_plot.y_axis.orientation = 'top'
right_plot.x_axis.mapper = center_plot.value_mapper
right_plot.y_axis.mapper = bottom_plot.value_mapper
right_plot.x_axis.axis_line_visible = False
right_plot.y_axis.axis_line_visible = False
s = cg.new_series(plotid=2, render_style='connectedpoints')[0]
s.orientation = 'v'
s = cg.new_series(plotid=2, **options)[0]
s.orientation = 'v'
center.index.on_trait_change(cg.metadata_changed,
'metadata_changed')
cg.show_crosshairs('blue')
# z = self._plot_properties(z, metadata, cg)
# cg.plots[0].data.set_data('z0', z)
gridcontainer = container_factory(kind='g',
padding=40,
shape=(2, 2),
spacing=(12, 12))
gridcontainer.add(center_plot)
gridcontainer.add(right_plot)
gridcontainer.add(bottom_plot)
cb = cg.make_colorbar(center)
cb.width = 50
cb.padding_left = 50
cg.plotcontainer.add(cb)
cg.plotcontainer.add(gridcontainer)
self.graph = cg
return cg