def _create_component(self):
rect1 = Region("orchid", position=[50, 50])
rect2 = Region("cornflowerblue", position=[200, 50])
rect1.overlays.append(Overlay("One", component=rect1))
rect2.overlays.append(Overlay("Two", component=rect2))
container1 = OverlayPlotContainer(bounds=[400, 400], resizable="")
container1.add(rect1, rect2)
container1.bgcolor = (0.60, 0.98, 0.60, 0.5) # "palegreen"
rect3 = Region("purple", position=[50, 50])
rect4 = Region("teal", position=[200, 50])
rect3.overlays.append(Overlay("Three", component=rect3))
rect4.overlays.append(Overlay("Four", component=rect4))
container2 = OverlayPlotContainer(bounds=[400, 400], resizable="")
container2.add(rect3, rect4)
container2.bgcolor = "navajowhite"
container2.position = [200, 200]
top_container = OverlayPlotContainer()
top_container.add(container1, container2)
return top_container
def _create_window(self):
rect1 = Region("orchid", position=[50, 50])
rect2 = Region("cornflowerblue", position=[200, 50])
rect1.overlays.append(Overlay("One", component=rect1))
rect2.overlays.append(Overlay("Two", component=rect2))
container1 = OverlayPlotContainer(bounds=[400, 400], resizable="")
container1.add(rect1, rect2)
container1.bgcolor = (0.60, 0.98, 0.60, 0.5) #"palegreen"
rect3 = Region("purple", position=[50, 50])
rect4 = Region("teal", position=[200, 50])
rect3.overlays.append(Overlay("Three", component=rect3))
rect4.overlays.append(Overlay("Four", component=rect4))
container2 = OverlayPlotContainer(bounds=[400, 400], resizable="")
container2.add(rect3, rect4)
container2.bgcolor = "navajowhite"
container2.position = [200, 200]
top_container = OverlayPlotContainer()
top_container.add(container1, container2)
return Window(self, -1, component=top_container)
def _plot_default(self):
stations = self.stations
lon, lat = self._proj(stations['LON'].view(numpy.ndarray),
stations['LAT'].view(numpy.ndarray))
shift = self._shift
lon = (lon + shift / 2.) / (shift)
lat = (lat + shift / 2.) / (shift)
plot = Plot(ArrayPlotData(index=lon, value=lat))
plot.plot(
("index", "value"),
type="scatter",
name="stations",
marker="dot",
outline_color='black',
color=(1., 0., 0., 0.2),
line_width=1.,
marker_size=1,
)
mbtiles_fname = os.path.join('Data', 'tiles.mbtiles')
if os.path.exists(mbtiles_fname):
tile_cache = MBTileManager(filename=mbtiles_fname,
min_level=0,
max_level=7)
else:
tile_cache = HTTPTileManager(
min_level=0,
max_level=6,
server='oatile1.mqcdn.com',
url='/tiles/1.0.0/sat/%(zoom)d/%(row)d/%(col)d.jpg',
)
# Right now, some of the tools are a little invasive, and we need the
# actual ScatterPlot object to give to them
scatter = plot.plots['stations'][0]
map = Map(scatter, tile_cache=tile_cache, alpha=0.8, zoom_level=2)
scatter.underlays.append(map)
map.on_trait_change(lambda new: self._update_scatter(scatter, new),
'zoom_level')
self._update_scatter(scatter, map.zoom_level)
lasso_selection = LassoSelection(component=scatter,
selection_datasource=scatter.index)
scatter.tools.append(lasso_selection)
scatter.overlays.append(
LassoOverlay(component=scatter,
selection_fill_color='lawngreen',
selection_border_color='lightgreen',
selection_alpha=0.5,
selection_border_width=2.0,
lasso_selection=lasso_selection))
scatter.overlays.append(
ScatterInspectorOverlay(scatter,
selection_metadata_name='selection',
selection_marker_size=4,
selection_color="lawngreen"))
scatter.index.on_trait_change(self._metadata_handler,
"metadata_changed")
scatter.tools.append(PanTool(scatter, drag_button='right'))
scatter.tools.append(ZoomTool(scatter))
plot.index_axis.title = "Longitude"
plot.index_axis.tick_label_formatter = self._convert_lon
plot.value_axis.title = "Latitude"
plot.value_axis.tick_label_formatter = self._convert_lat
plot.padding_right = plot.padding_top = 2
container = OverlayPlotContainer(use_backbuffer=True,
bgcolor="sys_window")
container.add(plot)
container.bgcolor = "sys_window"
return container
def _plot_default(self):
stations = self.stations
lon, lat = self._proj(stations["LON"].view(numpy.ndarray), stations["LAT"].view(numpy.ndarray))
shift = self._shift
lon = (lon + shift / 2.0) / (shift)
lat = (lat + shift / 2.0) / (shift)
plot = Plot(ArrayPlotData(index=lon, value=lat))
plot.plot(
("index", "value"),
type="scatter",
name="stations",
marker="dot",
outline_color="black",
color=(1.0, 0.0, 0.0, 0.2),
line_width=1.0,
marker_size=1,
)
mbtiles_fname = os.path.join("Data", "tiles.mbtiles")
if os.path.exists(mbtiles_fname):
tile_cache = MBTileManager(filename=mbtiles_fname, min_level=0, max_level=7)
else:
tile_cache = HTTPTileManager(
min_level=0,
max_level=6,
server="oatile1.mqcdn.com",
url="/tiles/1.0.0/sat/%(zoom)d/%(row)d/%(col)d.jpg",
)
# Right now, some of the tools are a little invasive, and we need the
# actual ScatterPlot object to give to them
scatter = plot.plots["stations"][0]
map = Map(scatter, tile_cache=tile_cache, alpha=0.8, zoom_level=2)
scatter.underlays.append(map)
map.on_trait_change(lambda new: self._update_scatter(scatter, new), "zoom_level")
self._update_scatter(scatter, map.zoom_level)
lasso_selection = LassoSelection(component=scatter, selection_datasource=scatter.index)
scatter.tools.append(lasso_selection)
scatter.overlays.append(
LassoOverlay(
component=scatter,
selection_fill_color="lawngreen",
selection_border_color="lightgreen",
selection_alpha=0.5,
selection_border_width=2.0,
lasso_selection=lasso_selection,
)
)
scatter.overlays.append(
ScatterInspectorOverlay(
scatter, selection_metadata_name="selection", selection_marker_size=4, selection_color="lawngreen"
)
)
scatter.index.on_trait_change(self._metadata_handler, "metadata_changed")
scatter.tools.append(PanTool(scatter, drag_button="right"))
scatter.tools.append(ZoomTool(scatter))
plot.index_axis.title = "Longitude"
plot.index_axis.tick_label_formatter = self._convert_lon
plot.value_axis.title = "Latitude"
plot.value_axis.tick_label_formatter = self._convert_lat
plot.padding_right = plot.padding_top = 2
container = OverlayPlotContainer(use_backbuffer=True, bgcolor="sys_window")
container.add(plot)
container.bgcolor = "sys_window"
return container
