def container_factory(self):
"""
"""
kw = {'type': 'v', 'stack_order': 'top_to_bottom'}
for k, v in self.container_dict.items():
kw[k] = v
return container_factory(**kw)
def container_factory(self):
"""
"""
kw = {'type': 'v', 'stack_order': 'top_to_bottom'}
for k, v in self.container_dict.items():
kw[k] = v
return container_factory(**kw)
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 _graph_contour(self, x, y, z, r, reg, refresh):
cg = self.graph
if not isinstance(cg, FluxVisualizationGraph):
cg = FluxVisualizationGraph(container_dict={
'kind': 'h',
'bgcolor': self.plotter_options.bgcolor
})
self.graph = cg
else:
cg.clear()
center_plot = cg.new_plot(xtitle='X',
ytitle='Y',
add=False,
padding=0,
width=550,
height=550,
resizable='',
aspect_ratio=1)
ito = IrradiationTrayOverlay(component=center_plot,
geometry=self.geometry,
show_labels=self.show_labels)
self.irradiation_tray_overlay = ito
center_plot.overlays.append(ito)
gx, gy, m, me = self._model_flux(reg, r)
# self._visualization_update(gx, gy, m, me, reg.xs, reg.ys)
r = r * 1.1
s, p = cg.new_series(z=m,
xbounds=(-r, r),
ybounds=(-r, r),
levels=self.levels,
cmap=self.color_map_name,
colorbar=True,
style='contour')
# add data tool
def predict_func(ptx, pty):
return floatfmt(reg.predict([(ptx, pty)])[0],
n=2,
use_scientific=True,
s=6)
dt = DataTool(plot=s,
filter_components=False,
predict_value_func=predict_func,
use_date_str=False,
component=p)
dto = DataToolOverlay(component=p, tool=dt)
p.tools.append(dt)
p.overlays.append(dto)
# add slice inspectors
cg.add_inspectors(s)
# add 1D slices
bottom_plot = cg.new_plot(add=False,
height=175,
resizable='h',
padding=0,
xtitle='mm',
ytitle='J')
right_plot = cg.new_plot(
add=False,
width=175,
resizable='v',
padding=0,
# xtitle='J',
ytitle='mm')
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)
s = cg.new_series(plotid=1,
type='scatter',
marker_size=2,
color='red',
style='xy',
marker='circle')[0]
ebo = ErrorBarOverlay(component=s,
orientation='y',
use_component=False)
s.underlays.append(ebo)
x, y = reg.xs.T
ebo.index, ebo.value, ebo.error = x, reg.ys, reg.yserr
cg.bottom_error_bars = ebo
center_plot.x_axis.orientation = 'top'
right_plot.orientation = 'v'
right_plot.x_axis.orientation = 'top'
right_plot.x_axis.tick_label_rotate_angle = 45
right_plot.y_axis.orientation = 'right'
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'
ss = cg.new_series(plotid=2,
type='scatter',
marker_size=2,
color='red',
style='xy',
marker='circle')[0]
ss.orientation = 'v'
ebo = ErrorBarOverlay(component=ss,
orientation='x',
use_component=False)
ss.underlays.append(ebo)
x, y = reg.xs.T
ebo.index, ebo.value, ebo.error = y, reg.ys, reg.yserr
cg.right_error_bars = ebo
center.index.on_trait_change(cg.metadata_changed, 'metadata_changed')
gridcontainer = container_factory(
kind='g',
# fill_padding=True,
# bgcolor='red',
padding_left=100,
padding_right=20,
padding_top=100,
padding_bottom=40,
shape=(2, 2),
spacing=(5, 5))
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)
# plot means
s = cg.new_series(x,
y,
z=z,
style='cmap_scatter',
color_mapper=s.color_mapper,
marker='circle',
marker_size=self.marker_size)
cg.errors = reg.yserr
cg.x = reg.xs
cg.y = reg.ys
cg.plotcontainer.add(gridcontainer)
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 new_series(self, x=None, y=None, plotid=0, **kw):
"""
"""
plot, scatter, _line = super(ResidualsGraph, self).new_series(x=x, y=y, plotid=plotid, **kw)
for underlay in plot.underlays:
if underlay.orientation == 'bottom':
underlay.visible = False
underlay.padding_bottom = 0
plot.padding_bottom = 0
x, y, res = self.calc_residuals(plotid=plotid)
ressplit = self._split_residual(x, res)
resneg = ArrayDataSource(ressplit[1])
xneg = ArrayDataSource(ressplit[0])
respos = ArrayDataSource(ressplit[3])
xpos = ArrayDataSource(ressplit[2])
yrange = DataRange1D(ArrayDataSource(res))
ymapper = LinearMapper(range=yrange)
container = container_factory(type='o',
padding=[50, 15, 0, 30],
height=75,
resizable='h')
bar = BarPlot(index=xneg,
value=resneg,
index_mapper=scatter.index_mapper,
value_mapper=ymapper,
bar_width=0.2,
line_color='blue',
fill_color='blue',
border_visible=True)
# left_axis = PlotAxis(bar, orientation = 'left')
# bottom_axis=PlotAxis(bar,orientation='bottom')
kw = dict(vtitle='residuals')
if self.xtitle:
kw['htitle'] = self.xtitle
add_default_axes(bar, **kw)
hgrid = PlotGrid(mapper=ymapper,
component=bar,
orientation='horizontal',
line_color='lightgray',
line_style='dot')
bar.underlays.append(hgrid)
# bar.underlays.append(left_axis)
# bar.underlays.append(bottom_axis)
bar2 = BarPlot(index=xpos,
value=respos,
index_mapper=scatter.index_mapper,
value_mapper=ymapper,
bar_width=0.2,
line_color='green',
fill_color='green',
# bgcolor = 'green',
resizable='hv',
border_visible=True,
# padding = [30, 5, 0, 30]
)
bar2.overlays.append(GuideOverlay(bar2, value=0, color=(0, 0, 0)))
bar2.underlays.append(hgrid)
container.add(bar)
container.add(bar2)
# container.add(PlotLabel('foo'))
self.residual_plots = [bar, bar2]
self.plotcontainer.add(container)
def new_series(self, x=None, y=None, plotid=0, **kw):
"""
"""
plot, scatter, _line = super(ResidualsGraph,
self).new_series(x=x,
y=y,
plotid=plotid,
**kw)
for underlay in plot.underlays:
if underlay.orientation == 'bottom':
underlay.visible = False
underlay.padding_bottom = 0
plot.padding_bottom = 0
x, y, res = self.calc_residuals(plotid=plotid)
ressplit = self._split_residual(x, res)
resneg = ArrayDataSource(ressplit[1])
xneg = ArrayDataSource(ressplit[0])
respos = ArrayDataSource(ressplit[3])
xpos = ArrayDataSource(ressplit[2])
yrange = DataRange1D(ArrayDataSource(res))
ymapper = LinearMapper(range=yrange)
container = container_factory(type='o',
padding=[50, 15, 0, 30],
height=75,
resizable='h')
bar = BarPlot(index=xneg,
value=resneg,
index_mapper=scatter.index_mapper,
value_mapper=ymapper,
bar_width=0.2,
line_color='blue',
fill_color='blue',
border_visible=True)
# left_axis = PlotAxis(bar, orientation = 'left')
# bottom_axis=PlotAxis(bar,orientation='bottom')
kw = dict(vtitle='residuals')
if self.xtitle:
kw['htitle'] = self.xtitle
add_default_axes(bar, **kw)
hgrid = PlotGrid(mapper=ymapper,
component=bar,
orientation='horizontal',
line_color='lightgray',
line_style='dot')
bar.underlays.append(hgrid)
# bar.underlays.append(left_axis)
# bar.underlays.append(bottom_axis)
bar2 = BarPlot(
index=xpos,
value=respos,
index_mapper=scatter.index_mapper,
value_mapper=ymapper,
bar_width=0.2,
line_color='green',
fill_color='green',
# bgcolor = 'green',
resizable='hv',
border_visible=True,
# padding = [30, 5, 0, 30]
)
bar2.overlays.append(GuideOverlay(bar2, value=0, color=(0, 0, 0)))
bar2.underlays.append(hgrid)
container.add(bar)
container.add(bar2)
# container.add(PlotLabel('foo'))
self.residual_plots = [bar, bar2]
self.plotcontainer.add(container)
def _graph_contour(self, x, y, z, r, reg, refresh):
cg = self.graph
if not isinstance(cg, FluxVisualizationGraph):
cg = FluxVisualizationGraph(container_dict={'kind': 'h',
'bgcolor': self.plotter_options.bgcolor})
self.graph = cg
else:
cg.clear()
center_plot = cg.new_plot(xtitle='X', ytitle='Y', add=False,
padding=0,
width=550,
height=550,
resizable='',
aspect_ratio=1)
ito = IrradiationTrayOverlay(component=center_plot,
geometry=self.geometry,
show_labels=self.show_labels)
self.irradiation_tray_overlay = ito
center_plot.overlays.append(ito)
gx, gy, m, me = self._model_flux(reg, r)
# self._visualization_update(gx, gy, m, me, reg.xs, reg.ys)
r = r * 1.1
s, p = cg.new_series(z=m,
xbounds=(-r, r),
ybounds=(-r, r),
levels=self.levels,
cmap=self.color_map_name,
colorbar=True,
style='contour')
# add data tool
def predict_func(ptx, pty):
return floatfmt(reg.predict([(ptx, pty)])[0], n=2, use_scientific=True, s=6)
dt = DataTool(plot=s,
filter_components=False,
predict_value_func=predict_func,
use_date_str=False, component=p)
dto = DataToolOverlay(component=p, tool=dt)
p.tools.append(dt)
p.overlays.append(dto)
# add slice inspectors
cg.add_inspectors(s)
# add 1D slices
bottom_plot = cg.new_plot(add=False,
height=175,
resizable='h',
padding=0,
xtitle='mm',
ytitle='J')
right_plot = cg.new_plot(add=False,
width=175,
resizable='v',
padding=0,
# xtitle='J',
ytitle='mm')
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)
s = cg.new_series(plotid=1, type='scatter',
marker_size=2,
color='red', style='xy', marker='circle')[0]
ebo = ErrorBarOverlay(component=s, orientation='y', use_component=False)
s.underlays.append(ebo)
x, y = reg.xs.T
ebo.index, ebo.value, ebo.error = x, reg.ys, reg.yserr
cg.bottom_error_bars = ebo
center_plot.x_axis.orientation = 'top'
right_plot.orientation = 'v'
right_plot.x_axis.orientation = 'top'
right_plot.x_axis.tick_label_rotate_angle = 45
right_plot.y_axis.orientation = 'right'
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'
ss = cg.new_series(plotid=2, type='scatter',
marker_size=2,
color='red', style='xy', marker='circle')[0]
ss.orientation = 'v'
ebo = ErrorBarOverlay(component=ss, orientation='x', use_component=False)
ss.underlays.append(ebo)
x, y = reg.xs.T
ebo.index, ebo.value, ebo.error = y, reg.ys, reg.yserr
cg.right_error_bars = ebo
center.index.on_trait_change(cg.metadata_changed, 'metadata_changed')
gridcontainer = container_factory(kind='g',
# fill_padding=True,
# bgcolor='red',
padding_left=100,
padding_right=20,
padding_top=100,
padding_bottom=40,
shape=(2, 2),
spacing=(5, 5))
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)
# plot means
s = cg.new_series(x, y,
z=z,
style='cmap_scatter',
color_mapper=s.color_mapper,
marker='circle',
marker_size=self.marker_size)
cg.errors = reg.yserr
cg.x = reg.xs
cg.y = reg.ys
cg.plotcontainer.add(gridcontainer)
