def _plot_default(self):
x = linspace(-5, 10, 500)
y = sin(x)
y2 = 0.5 * cos(2 * x)
view = DataView(border_visible=True)
scatter = ScatterPlot(
index=ArrayDataSource(x),
value=ArrayDataSource(y),
marker="square",
color="red",
outline_color="transparent",
index_mapper=LinearMapper(range=view.index_range),
value_mapper=LinearMapper(range=view.value_range))
line = LinePlot(index=scatter.index,
value=ArrayDataSource(y2),
color="blue",
index_mapper=LinearMapper(range=view.index_range),
value_mapper=LinearMapper(range=view.value_range))
# Add the plot's index and value datasources to the dataview's
# ranges so that it can auto-scale and fit appropriately
view.index_range.sources.append(scatter.index)
view.value_range.sources.append(scatter.value)
view.value_range.sources.append(line.value)
# Add the renderers to the dataview. The z-order is determined
# by the order in which renderers are added.
view.add(scatter)
view.add(line)
view.tools.append(PanTool(view))
view.overlays.append(ZoomTool(view))
return view
def _plot_default(self):
container = DataView()
xds = FunctionDataSource(func = self.xfunc)
yds = FunctionDataSource(func = self.yfunc)
xmapper = container.x_mapper
ymapper = container.y_mapper
xds.data_range = xmapper.range
yds.data_range = xmapper.range
xmapper.range.set_bounds(-5, 10)
ymapper.range.set_bounds(-1, 1.2)
#FIXME: change color, marker, marker_size to see the difference
plot = ScatterPlot(index = xds, value = yds, index_mapper = xmapper,
value_mapper = ymapper,
color = "green",
marker = "circle",
marker_size = 3,
line_width = 0)
plot2 = LinePlot(index = xds, value = yds, index_mapper = xmapper,
value_mapper = ymapper,
color = "lightgray")
container.add(plot2, plot)
#FIXME: uncomment following two lines to see the difference
#plot.tools.append(PanTool(plot, constrain_direction="x", constrain=True))
#plot.tools.append(ZoomTool(plot, axis="index", tool_mode="range"))
return container
def _plot_default(self):
x = linspace(-5, 10, 500)
y = sin(x)
y2 = 0.5 * cos(2*x)
view = DataView(border_visible = True)
scatter = ScatterPlot(index = ArrayDataSource(x),
value = ArrayDataSource(y),
marker = "square",
color = "red",
outline_color = "transparent",
index_mapper = LinearMapper(range=view.index_range),
value_mapper = LinearMapper(range=view.value_range))
line = LinePlot(index = scatter.index,
value = ArrayDataSource(y2),
color = "blue",
index_mapper = LinearMapper(range=view.index_range),
value_mapper = LinearMapper(range=view.value_range))
# Add the plot's index and value datasources to the dataview's
# ranges so that it can auto-scale and fit appropriately
view.index_range.sources.append(scatter.index)
view.value_range.sources.append(scatter.value)
view.value_range.sources.append(line.value)
# Add the renderers to the dataview. The z-order is determined
# by the order in which renderers are added.
view.add(scatter)
view.add(line)
view.tools.append(PanTool(view))
view.overlays.append(ZoomTool(view))
return view
def _plot_default(self):
container = DataView()
xds = FunctionDataSource(func=self.xfunc)
yds = FunctionDataSource(func=self.yfunc)
xmapper = container.x_mapper
ymapper = container.y_mapper
xds.data_range = xmapper.range
yds.data_range = xmapper.range
xmapper.range.set_bounds(-5, 10)
ymapper.range.set_bounds(-1, 1.2)
plot = ScatterPlot(index=xds,
value=yds,
index_mapper=xmapper,
value_mapper=ymapper,
color="green",
marker="circle",
marker_size=3,
line_width=0)
plot2 = LinePlot(index=xds,
value=yds,
index_mapper=xmapper,
value_mapper=ymapper,
color="lightgray")
container.add(plot2, plot)
plot.tools.append(
PanTool(plot, constrain_direction="x", constrain=True))
plot.tools.append(ZoomTool(plot, axis="index", tool_mode="range"))
return container
