def _setup_plot_tools(self, plot):
"""Sets up the background, and several tools on a plot"""
# Make a white background with grids and axes
plot.bgcolor = "white"
add_default_grids(plot)
add_default_axes(plot)
# Allow white space around plot
plot.index_range.tight_bounds = False
plot.index_range.refresh()
plot.value_range.tight_bounds = False
plot.value_range.refresh()
# The PanTool allows panning around the plot
plot.tools.append(PanTool(plot))
# The ZoomTool tool is stateful and allows drawing a zoom
# box to select a zoom region.
zoom = ZoomTool(plot, tool_mode="box", always_on=False)
plot.overlays.append(zoom)
# The DragZoom tool just zooms in and out as the user drags
# the mouse vertically.
dragzoom = DragZoom(plot, drag_button="right")
plot.tools.append(dragzoom)
# Add a legend in the upper right corner, and make it relocatable
legend = Legend(component=plot, padding=10, align="ur")
legend.tools.append(LegendTool(legend, drag_button="right"))
plot.overlays.append(legend)
return plot.value_mapper, plot.index_mapper, legend
def __init__(self):
# Create the data and the PlotData object
x = linspace(-14, 14, 500)
y = sin(x) * x**3
plotdata = ArrayPlotData(x=x, y=y)
# Create a Plot and associate it with the PlotData
plot = Plot(plotdata)
# Create a line plot in the Plot
plot.plot(("x", "y"), type="line", color="blue")
# Add the pan and zoom tools
plot.tools.append(PanTool(plot))
plot.tools.append(ZoomTool(plot))
plot.tools.append(DragZoom(plot, drag_button="right"))
self.plot = plot
def __init__(self):
super(ToolsExample1, self).__init__()
x = linspace(-14, 14, 100)
y = sin(x) * x ** 3
plotdata = ArrayPlotData(x=x, y=y)
plot = Plot(plotdata)
plot.plot(("x", "y"), type="line", color="blue")
#append tools to pan, zoom, and drag
plot.tools.append(PanTool(plot))
plot.tools.append(ZoomTool(plot))
plot.tools.append(DragZoom(plot, drag_button="right"))
self.plot = plot
def _plot_default(self):
""" This creates the default value for the plot.
"""
# create the main plot object
plot = Plot(self.plot_data)
plot.plot(('x', 'y'), type='line', name='raw data', color='lightgreen')
# add the additional information
plot.title = 'Row Data'
plot.x_axis.title = 'Samples'
plot.y_axis.title = 'Amplitude'
# tools for basic interactivity
plot.tools.append(PanTool(plot))
plot.tools.append(ZoomTool(plot))
plot.tools.append(DragZoom(plot, drag_button="right"))
return plot
def add(self, series, limit=None):
broadcaster = BroadcasterTool()
for name, line in series._plot.line.items():
if limit is not None and name not in limit:
continue
if line.time == []:
print "Graph.add> empty:", name
continue
plot = create_line_plot((seconds(line.time), line.data),
color=line.color)
self.plot_area.add(plot)
axis = PlotAxis(
orientation="left",
resizable="v",
mapper=plot.y_mapper,
bgcolor="white",
title=name,
title_color=line.color,
title_spacing=-4.0,
border_visible=True,
)
## Visual style
axis.bounds = [60, 0]
axis.padding_left = 1
axis.padding_right = 1
self.container.add(axis)
## Tools (attach to all for now)
plot.tools.append(broadcaster)
broadcaster.tools.append(PanTool(plot))
broadcaster.tools.append(
DragZoom(plot,
maintain_aspect_ratio=False,
drag_button='right',
restrict_domain=True))
def _plot_default(self):
""" This creates the default value for the plot.
"""
# create the main plot object
plot = Plot(self.plot_data)
renderer = plot.plot(('index', 'value', 'color'), \
type="cmap_scatter", \
color_mapper=jet, \
marker='triangle'
)[0]
self.renderer = renderer
# inspector tool for showing data about points
#renderer.tools.append(ScatterInspector(renderer))
# overlay for highlighting selected points
overlay = ScatterInspectorOverlay(renderer,
hover_color="red",
hover_marker_size=6,
selection_marker_size=6,
selection_color="yellow",
selection_outline_color="black",
selection_line_width=3)
renderer.overlays.append(overlay)
# add the additional information
plot.title = 'Parameters Data'
plot.x_axis.title = ''
plot.y_axis.title = ''
# tools for basic interactivity
plot.tools.append(PanTool(plot))
plot.tools.append(ZoomTool(plot))
plot.tools.append(DragZoom(plot, drag_button="right"))
return plot