def __init__(self, **traits):
super(ContainerExample, self).__init__(**traits)
x = np.linspace(-14, 14, 100)
y = np.sin(x) * x**3 / 1000
data = ArrayPlotData(x=x, y=y)
p1 = Plot(data, padding=30)
p1.plot(("x", "y"), type="scatter", color="blue")
p1.plot(("x", "y"), type="line", color="blue")
p2 = Plot(data, padding=30)
p2.plot(("x", "y"), type="line", color="blue")
p2.set(bounds=[200, 100],
position=[70, 150],
bgcolor=(0.9, 0.9, 0.9),
unified_draw=True,
resizable="")
p3 = Plot(data, padding=30)
p3.plot(("x", "y"), type="line", color="blue", line_width=2.0)
p4 = Plot(data, padding=30)
p4.plot(("x", "y"), type="scatter", color="red", marker="circle")
c1 = OverlayPlotContainer(p1, p2)
c1.fixed_preferred_size = p3.get_preferred_size()
c2 = HPlotContainer(c1, p3)
c3 = VPlotContainer(p4, c2)
self.plot = c3
def __init__(self, **kwargs):
super(VariableMeshPannerView, self).__init__(**kwargs)
# Create the plot
self.add_trait("field", DelegatesTo("vm_plot"))
plot = self.vm_plot.plot
img_plot = self.vm_plot.img_plot
if self.use_tools:
plot.tools.append(PanTool(img_plot))
zoom = ZoomTool(component=img_plot,
tool_mode="box",
always_on=False)
plot.overlays.append(zoom)
imgtool = ImageInspectorTool(img_plot)
img_plot.tools.append(imgtool)
overlay = ImageInspectorOverlay(component=img_plot,
image_inspector=imgtool,
bgcolor="white",
border_visible=True)
img_plot.overlays.append(overlay)
image_value_range = DataRange1D(self.vm_plot.fid)
cbar_index_mapper = LinearMapper(range=image_value_range)
self.colorbar = ColorBar(index_mapper=cbar_index_mapper,
plot=img_plot,
padding_right=40,
resizable='v',
width=30)
self.colorbar.tools.append(
PanTool(self.colorbar, constrain_direction="y", constrain=True))
zoom_overlay = ZoomTool(self.colorbar,
axis="index",
tool_mode="range",
always_on=True,
drag_button="right")
self.colorbar.overlays.append(zoom_overlay)
# create a range selection for the colorbar
range_selection = RangeSelection(component=self.colorbar)
self.colorbar.tools.append(range_selection)
self.colorbar.overlays.append(
RangeSelectionOverlay(component=self.colorbar,
border_color="white",
alpha=0.8,
fill_color="lightgray"))
# we also want to the range selection to inform the cmap plot of
# the selection, so set that up as well
range_selection.listeners.append(img_plot)
self.full_container = HPlotContainer(padding=30)
self.container = OverlayPlotContainer(padding=0)
self.full_container.add(self.colorbar)
self.full_container.add(self.container)
self.container.add(self.vm_plot.plot)
def _image_plot_container(self):
plot = self.render_image()
# Create a container to position the plot and the colorbar side-by-side
self.container = OverlayPlotContainer()
self.container.add(plot)
self.img_container = HPlotContainer(use_backbuffer=False)
self.img_container.add(self.container)
self.img_container.bgcolor = "white"
if self.numpeaks_img > 0:
scatplot = self.render_scatplot()
self.container.add(scatplot)
colorbar = self.draw_colorbar()
self.img_container.add(colorbar)
return self.img_container
def _create_window(self):
ts = touchstone.read('tests/data/deemb_mom.s2p')
freqs = ts.freqs
s11 = ts.get_parameter(1, 1)
container = OverlayPlotContainer(padding=50,
fill_padding=True,
bgcolor="lightgray",
use_backbuffer=True)
plot = create_smith_plot((freqs, s11),
color=(0.0, 0.0, 1.0, 1),
width=2.0)
plot.bgcolor = "white"
container.add(plot)
# Add the title at the top
container.overlays.append(
PlotLabel("Smith Chart",
component=container,
font="swiss 16",
overlay_position="top"))
return Window(self, -1, component=container)
def __init__(self, parent, id=-1, **kwargs):
wx.Panel.__init__(self, parent, id=id, **kwargs)
self.statusBar = self.GetTopLevelParent().statusBar
self.container = OverlayPlotContainer(padding = 50, fill_padding = True,
bgcolor = "lightgray", use_backbuffer=True)
self.legend = Legend(component=self.container, padding=10, align="ur")
#self.legend.tools.append(LegendTool(self.legend, drag_button="right"))
self.container.overlays.append(self.legend)
self.plot_window = Window(self, component=self.container)
self.container.tools.append(TraitsTool(self.container))
self.firstplot = True
self._palette = ['red', 'blue', 'green', 'purple', 'yellow']
self._current_palette_index = 0
self._traces = []
sizer = wx.BoxSizer(wx.VERTICAL)
sizer.Add(self.plot_window.control, 1, wx.EXPAND)
self.SetSizer(sizer)
self.SetAutoLayout(True)
