def _plot_default(self):
plot = Plot(self.plot_data)
plot.x_axis = None
plot.y_axis = None
plot.padding = 0
self.tcm = TransformColorMapper.from_color_map(gray)
self.tcm.unit_func = self.unit_map.function
self.unit_map.on_trait_change(self.map_changed, 'function')
plot.img_plot('image', colormap=self.tcm)
return plot
def _create_plot_component(model):
# Create a plot data object and give it the model's data array.
pd = ArrayPlotData()
pd.set_data("imagedata", model.data)
# Create the "main" Plot.
plot = Plot(pd, padding=50)
# Use a TransformColorMapper for the color map.
tcm = TransformColorMapper.from_color_map(jet)
# Create the image plot renderer in the main plot.
renderer = plot.img_plot("imagedata",
xbounds=model.x_array,
ybounds=model.y_array,
colormap=tcm)[0]
# Create the colorbar.
lm = LinearMapper(range=renderer.value_range,
domain_limits=(renderer.value_range.low,
renderer.value_range.high))
colorbar = ColorBar(index_mapper=lm,
plot=plot,
orientation='v',
resizable='v',
width=30,
padding=20)
colorbar.padding_top = plot.padding_top
colorbar.padding_bottom = plot.padding_bottom
# Add pan and zoom tools to the colorbar.
colorbar.tools.append(
PanTool(colorbar, constrain_direction="y", constrain=True))
zoom_overlay = ZoomTool(colorbar,
axis="index",
tool_mode="range",
always_on=True,
drag_button="right")
colorbar.overlays.append(zoom_overlay)
# Create a container to position the plot and the colorbar side-by-side
container = HPlotContainer(use_backbuffer=True)
container.add(plot)
container.add(colorbar)
return container
def _create_plot_component(model):
# Create a plot data object and give it the model's data array.
pd = ArrayPlotData()
pd.set_data("imagedata", model.data)
# Create the "main" Plot.
plot = Plot(pd, padding=50)
# Use a TransformColorMapper for the color map.
tcm = TransformColorMapper.from_color_map(jet)
# Create the image plot renderer in the main plot.
renderer = plot.img_plot("imagedata",
xbounds=model.x_array,
ybounds=model.y_array,
colormap=tcm)[0]
# Create the colorbar.
lm = LinearMapper(range=renderer.value_range,
domain_limits=(renderer.value_range.low,
renderer.value_range.high))
colorbar = ColorBar(index_mapper=lm,
plot=plot,
orientation='v',
resizable='v',
width=30,
padding=20)
colorbar.padding_top = plot.padding_top
colorbar.padding_bottom = plot.padding_bottom
# Add pan and zoom tools to the colorbar.
colorbar.tools.append(PanTool(colorbar,
constrain_direction="y",
constrain=True))
zoom_overlay = ZoomTool(colorbar, axis="index", tool_mode="range",
always_on=True, drag_button="right")
colorbar.overlays.append(zoom_overlay)
# Create a container to position the plot and the colorbar side-by-side
container = HPlotContainer(use_backbuffer = True)
container.add(plot)
container.add(colorbar)
return container
def get_plot_component(self):
xbounds = self.model.xh[0] / 1000, self.model.xh[-1] / 1000
ybounds = self.model.yh[0] / 1000, self.model.yh[-1] / 1000
self.plotdata.set_data("imagedata", self.model.Z)
#self.plot.x_mapper.stretch_data = False
#self.plot.y_mapper.stretch_data = False
cmap = TransformColorMapper.from_color_map(jet)
renderer = self.plot.img_plot("imagedata",
xbounds = xbounds,
ybounds = ybounds,
colormap=cmap)[0]
left = PlotAxis(orientation='left',
title='km',
mapper=self.plot.value_mapper,
component=self.plot)
bottom = PlotAxis(orientation='bottom',
title='km',
mapper=self.plot.index_mapper,
component=self.plot)
self.plot.underlays.append(left)
self.plot.underlays.append(bottom)
return self.plot
def get_plot_component(self):
xbounds = self.model.xh[0] / 1000, self.model.xh[-1] / 1000
ybounds = self.model.yh[0] / 1000, self.model.yh[-1] / 1000
self.plotdata.set_data("imagedata", self.model.Z)
#self.plot.x_mapper.stretch_data = False
#self.plot.y_mapper.stretch_data = False
cmap = TransformColorMapper.from_color_map(jet)
renderer = self.plot.img_plot("imagedata",
xbounds=xbounds,
ybounds=ybounds,
colormap=cmap)[0]
left = PlotAxis(orientation='left',
title='km',
mapper=self.plot.value_mapper,
component=self.plot)
bottom = PlotAxis(orientation='bottom',
title='km',
mapper=self.plot.index_mapper,
component=self.plot)
self.plot.underlays.append(left)
self.plot.underlays.append(bottom)
return self.plot
