def _plot_default(self):
# Create data
x = linspace(-5, 15.0, 100)
y = jn(3, x)
pd = ArrayPlotData(index=x, value=y)
zoomable_plot = Plot(pd)
zoomable_plot.plot(('index', 'value'),
name='external',
color='red',
line_width=3)
# Attach tools to the plot
zoom = ZoomTool(component=zoomable_plot,
tool_mode="box",
always_on=False)
zoomable_plot.overlays.append(zoom)
zoomable_plot.tools.append(PanTool(zoomable_plot))
# Create a second inset plot, not resizable, not zoom-able
inset_plot = Plot(pd)
inset_plot.plot(('index', 'value'), color='blue')
inset_plot.resizable = ''
inset_plot.bounds = [250, 150]
inset_plot.position = [450, 350]
inset_plot.border_visible = True
# Create a container and add our plots
container = OverlayPlotContainer()
container.add(zoomable_plot)
container.add(inset_plot)
return container
def main():
# Create some x-y data series to plot
x = linspace(-2.0, 10.0, 100)
pd = ArrayPlotData(index=x)
for i in range(5):
pd.set_data("y" + str(i), jn(i, x))
# Create some line plots of some of the data
plot = Plot(
pd,
bgcolor="none",
padding=30,
border_visible=True,
overlay_border=True,
use_backbuffer=False)
plot.legend.visible = True
plot.plot(("index", "y0", "y1", "y2"), name="j_n, n<3", color="auto")
plot.plot(("index", "y3"), name="j_3", color="auto")
plot.tools.append(PanTool(plot))
zoom = ZoomTool(component=plot, tool_mode="box", always_on=False)
plot.overlays.append(zoom)
# Create the mlab test mesh and get references to various parts of the
# VTK pipeline
f = mlab.figure(size=(600, 500))
m = mlab.test_mesh()
scene = mlab.gcf().scene
render_window = scene.render_window
renderer = scene.renderer
rwi = scene.interactor
plot.resizable = ""
plot.bounds = [200, 200]
plot.padding = 25
plot.bgcolor = "lightgray"
plot.outer_position = [30, 30]
plot.tools.append(MoveTool(component=plot, drag_button="right"))
container = OverlayPlotContainer(bgcolor="transparent", fit_window=True)
container.add(plot)
# Create the Enable Window
window = EnableVTKWindow(
rwi,
renderer,
component=container,
#istyle_class = tvtk.InteractorStyleSwitch,
#istyle_class = tvtk.InteractorStyle,
istyle_class=tvtk.InteractorStyleTrackballCamera,
bgcolor="transparent",
event_passthrough=True, )
mlab.show()
return window, render_window
def main():
# Create some x-y data series to plot
x = linspace(-2.0, 10.0, 100)
pd = ArrayPlotData(index = x)
for i in range(5):
pd.set_data("y" + str(i), jn(i,x))
# Create some line plots of some of the data
plot = Plot(pd, bgcolor="none", padding=30, border_visible=True,
overlay_border=True, use_backbuffer=False)
plot.legend.visible = True
plot.plot(("index", "y0", "y1", "y2"), name="j_n, n<3", color="auto")
plot.plot(("index", "y3"), name="j_3", color="auto")
plot.tools.append(PanTool(plot))
zoom = ZoomTool(component=plot, tool_mode="box", always_on=False)
plot.overlays.append(zoom)
# Create the mlab test mesh and get references to various parts of the
# VTK pipeline
f = mlab.figure(size=(600,500))
m = mlab.test_mesh()
scene = mlab.gcf().scene
render_window = scene.render_window
renderer = scene.renderer
rwi = scene.interactor
plot.resizable = ""
plot.bounds = [200,200]
plot.padding = 25
plot.bgcolor = "lightgray"
plot.outer_position = [30,30]
plot.tools.append(MoveTool(component=plot,drag_button="right"))
container = OverlayPlotContainer(bgcolor = "transparent",
fit_window = True)
container.add(plot)
# Create the Enable Window
window = EnableVTKWindow(rwi, renderer,
component=container,
#istyle_class = tvtk.InteractorStyleSwitch,
#istyle_class = tvtk.InteractorStyle,
istyle_class = tvtk.InteractorStyleTrackballCamera,
bgcolor = "transparent",
event_passthrough = True,
)
mlab.show()
return window, render_window
def _create_plot_component():
# Create some x-y data series to plot
x = linspace(-2.0, 10.0, 100)
pd = ArrayPlotData(index=x)
for i in range(5):
pd.set_data("y" + str(i), jn(i, x))
# Create some line plots of some of the data
plot1 = Plot(pd)
plot1.plot(("index", "y0", "y1", "y2"), name="j_n, n<3", color="red")
plot1.plot(("index", "y3"), name="j_3", color="blue")
# Tweak some of the plot properties
plot1.title = "Inset Plot"
plot1.padding = 50
# Attach some tools to the plot
plot1.tools.append(PanTool(plot1))
zoom = ZoomTool(component=plot1, tool_mode="box", always_on=False)
plot1.overlays.append(zoom)
# Create a second scatter plot of one of the datasets, linking its
# range to the first plot
plot2 = Plot(pd, range2d=plot1.range2d, padding=50)
plot2.plot(('index', 'y3'), type="scatter", color="blue", marker="circle")
plot2.resizable = ""
plot2.bounds = [250, 250]
plot2.position = [550, 150]
plot2.bgcolor = "white"
plot2.border_visible = True
plot2.unified_draw = True
plot2.tools.append(PanTool(plot2))
plot2.tools.append(MoveTool(plot2, drag_button="right"))
zoom = ZoomTool(component=plot2, tool_mode="box", always_on=False)
plot2.overlays.append(zoom)
# Create a container and add our plots
container = OverlayPlotContainer()
container.add(plot1)
container.add(plot2)
return container
def clone_plot(clonetool, drop_position):
# A little sketchy...
canvas = clonetool.component.container.component.component
# Create a new Plot object
oldplot = clonetool.component
newplot = Plot(oldplot.data)
basic_traits = [
"orientation", "default_origin", "bgcolor", "border_color",
"border_width", "border_visible", "draw_layer", "unified_draw",
"fit_components", "fill_padding", "visible", "aspect_ratio", "title"
]
for attr in basic_traits:
setattr(newplot, attr, getattr(oldplot, attr))
# copy the ranges
dst = newplot.range2d
src = oldplot.range2d
#for attr in ('_low_setting', '_low_value', '_high_setting', '_high_value'):
# setattr(dst, attr, getattr(src, attr))
dst._xrange.sources = copy(src._xrange.sources)
dst._yrange.sources = copy(src._yrange.sources)
newplot.padding = oldplot.padding
newplot.bounds = oldplot.bounds[:]
newplot.resizable = ""
newplot.position = drop_position
newplot.datasources = copy(oldplot.datasources)
for name, renderers in list(oldplot.plots.items()):
newrenderers = []
for renderer in renderers:
new_r = clone_renderer(renderer)
new_r.index_mapper = LinearMapper(range=newplot.index_range)
new_r.value_mapper = LinearMapper(range=newplot.value_range)
new_r._layout_needed = True
new_r.invalidate_draw()
new_r.resizable = "hv"
newrenderers.append(new_r)
newplot.plots[name] = newrenderers
#newplot.plots = copy(oldplot.plots)
for name, renderers in list(newplot.plots.items()):
newplot.add(*renderers)
newplot.index_axis.title = oldplot.index_axis.title
newplot.index_axis.unified_draw = True
newplot.value_axis.title = oldplot.value_axis.title
newplot.value_axis.unified_draw = True
# Add new tools to the new plot
newplot.tools.append(
AxisTool(component=newplot, range_controller=canvas.range_controller))
# Add tools to the new plot
pan_traits = [
"drag_button", "constrain", "constrain_key", "constrain_direction",
"speed"
]
zoom_traits = [
"tool_mode", "always_on", "axis", "enable_wheel", "drag_button",
"wheel_zoom_step", "enter_zoom_key", "exit_zoom_key", "pointer",
"color", "alpha", "border_color", "border_size", "disable_on_complete",
"minimum_screen_delta", "max_zoom_in_factor", "max_zoom_out_factor"
]
move_traits = [
"drag_button", "end_drag_on_leave", "cancel_keys", "capture_mouse",
"modifier_key"
]
if not MULTITOUCH:
for tool in oldplot.tools:
if isinstance(tool, PanTool):
newtool = tool.clone_traits(pan_traits)
newtool.component = newplot
break
else:
newtool = PanTool(newplot)
# Reconfigure the pan tool to always use the left mouse, because we will
# put plot move on the right mouse button
newtool.drag_button = "left"
newplot.tools.append(newtool)
for tool in oldplot.tools:
if isinstance(tool, MoveTool):
newtool = tool.clone_traits(move_traits)
newtool.component = newplot
break
else:
newtool = MoveTool(newplot, drag_button="right")
newplot.tools.append(newtool)
for tool in oldplot.tools:
if isinstance(tool, ZoomTool):
newtool = tool.clone_traits(zoom_traits)
newtool.component = newplot
break
else:
newtool = ZoomTool(newplot)
newplot.tools.append(newtool)
else:
pz = MPPanZoom(newplot)
#pz.pan.constrain = True
#pz.pan.constrain_direction = "x"
#pz.zoom.mode = "range"
#pz.zoom.axis = "index"
newplot.tools.append(MPPanZoom(newplot))
#newplot.tools.append(MTMoveTool(
newplot._layout_needed = True
clonetool.dest.add(newplot)
newplot.invalidate_draw()
newplot.request_redraw()
canvas.request_redraw()
return
def clone_plot(clonetool, drop_position):
# A little sketchy...
canvas = clonetool.component.container.component.component
# Create a new Plot object
oldplot = clonetool.component
newplot = Plot(oldplot.data)
basic_traits = ["orientation", "default_origin", "bgcolor", "border_color",
"border_width", "border_visible", "draw_layer", "unified_draw",
"fit_components", "fill_padding", "visible", "aspect_ratio",
"title"]
for attr in basic_traits:
setattr(newplot, attr, getattr(oldplot, attr))
# copy the ranges
dst = newplot.range2d
src = oldplot.range2d
#for attr in ('_low_setting', '_low_value', '_high_setting', '_high_value'):
# setattr(dst, attr, getattr(src, attr))
dst._xrange.sources = copy(src._xrange.sources)
dst._yrange.sources = copy(src._yrange.sources)
newplot.padding = oldplot.padding
newplot.bounds = oldplot.bounds[:]
newplot.resizable = ""
newplot.position = drop_position
newplot.datasources = copy(oldplot.datasources)
for name, renderers in oldplot.plots.items():
newrenderers = []
for renderer in renderers:
new_r = clone_renderer(renderer)
new_r.index_mapper = LinearMapper(range=newplot.index_range)
new_r.value_mapper = LinearMapper(range=newplot.value_range)
new_r._layout_needed = True
new_r.invalidate_draw()
new_r.resizable = "hv"
newrenderers.append(new_r)
newplot.plots[name] = newrenderers
#newplot.plots = copy(oldplot.plots)
for name, renderers in newplot.plots.items():
newplot.add(*renderers)
newplot.index_axis.title = oldplot.index_axis.title
newplot.index_axis.unified_draw = True
newplot.value_axis.title = oldplot.value_axis.title
newplot.value_axis.unified_draw = True
# Add new tools to the new plot
newplot.tools.append(AxisTool(component=newplot,
range_controller=canvas.range_controller))
# Add tools to the new plot
pan_traits = ["drag_button", "constrain", "constrain_key", "constrain_direction",
"speed"]
zoom_traits = ["tool_mode", "always_on", "axis", "enable_wheel", "drag_button",
"wheel_zoom_step", "enter_zoom_key", "exit_zoom_key", "pointer",
"color", "alpha", "border_color", "border_size", "disable_on_complete",
"minimum_screen_delta", "max_zoom_in_factor", "max_zoom_out_factor"]
move_traits = ["drag_button", "end_drag_on_leave", "cancel_keys", "capture_mouse",
"modifier_key"]
if not MULTITOUCH:
for tool in oldplot.tools:
if isinstance(tool, PanTool):
newtool = tool.clone_traits(pan_traits)
newtool.component = newplot
break
else:
newtool = PanTool(newplot)
# Reconfigure the pan tool to always use the left mouse, because we will
# put plot move on the right mouse button
newtool.drag_button = "left"
newplot.tools.append(newtool)
for tool in oldplot.tools:
if isinstance(tool, MoveTool):
newtool = tool.clone_traits(move_traits)
newtool.component = newplot
break
else:
newtool = MoveTool(newplot, drag_button="right")
newplot.tools.append(newtool)
for tool in oldplot.tools:
if isinstance(tool, ZoomTool):
newtool = tool.clone_traits(zoom_traits)
newtool.component = newplot
break
else:
newtool = ZoomTool(newplot)
newplot.tools.append(newtool)
else:
pz = MPPanZoom(newplot)
#pz.pan.constrain = True
#pz.pan.constrain_direction = "x"
#pz.zoom.mode = "range"
#pz.zoom.axis = "index"
newplot.tools.append(MPPanZoom(newplot))
#newplot.tools.append(MTMoveTool(
newplot._layout_needed = True
clonetool.dest.add(newplot)
newplot.invalidate_draw()
newplot.request_redraw()
canvas.request_redraw()
return
def __init__(self, **kw):
super(MLabChacoPlot, self).__init__(**kw)
self.prices = get_data()
x = self.prices['Date']
pd = ArrayPlotData(index = x)
pd.set_data("y", self.prices["Crude Supply"])
# Create some line plots of some of the data
plot = Plot(pd, bgcolor="none", padding=30, border_visible=True,
overlay_border=True, use_backbuffer=False)
#plot.legend.visible = True
plot.plot(("index", "y"), name="Crude Price", color=(.3, .3, .8, .8))
#plot.tools.append(PanTool(plot))
plot.tools.append(PanTool(plot, constrain=True, drag_button="right",
constrain_direction="x"))
range_plt = plot.plots['Crude Price'][0]
range_selection = RangeSelection(range_plt, left_button_selects=True)
range_selection.on_trait_change(self.update_interval, 'selection')
range_plt.tools.append(range_selection)
range_plt.overlays.append(RangeSelectionOverlay(range_plt))
zoom = ZoomTool(component=plot, tool_mode="range", always_on=False,
axis="index", max_zoom_out_factor=1.0,)
plot.overlays.append(zoom)
# Set the plot's bottom axis to use the Scales ticking system
scale_sys = CalendarScaleSystem(fill_ratio=0.4,
default_numlabels=5,
default_numticks=10,)
tick_gen = ScalesTickGenerator(scale=scale_sys)
bottom_axis = ScalesPlotAxis(plot, orientation="bottom",
tick_generator=tick_gen,
label_color="white",
line_color="white")
# Hack to remove default axis - FIXME: how do I *replace* an axis?
del(plot.underlays[-2])
plot.overlays.append(bottom_axis)
# Create the mlab test mesh and get references to various parts of the
# VTK pipeline
f = mlab.figure(size=(700,500))
self.m = mlab.points3d(self.prices['Gasoline Supply'], self.prices['Jet Fuel Supply'], self.prices['Distillate Supply'], self.prices['Crude Supply'])
# Add another glyph module to render the full set of points
g2 = Glyph()
g2.glyph.glyph_source.glyph_source.glyph_type = "circle"
g2.glyph.glyph_source.glyph_source.filled = True
g2.actor.property.opacity = 0.75
self.m.module_manager.source.add_module(g2)
# Set a bunch of properties on the scene to make things look right
self.m.module_manager.scalar_lut_manager.lut_mode = 'PuBuGn'
self.m.glyph.mask_points.random_mode = False
self.m.glyph.mask_points.on_ratio = 1
self.m.scene.isometric_view()
self.m.scene.background = (.9, 0.95, 1.0)
scene = mlab.gcf().scene
render_window = scene.render_window
renderer = scene.renderer
rwi = scene.interactor
plot.resizable = ""
plot.bounds = [600,120]
plot.padding = 25
plot.bgcolor = "white"
plot.outer_position = [30,30]
plot.tools.append(MoveTool(component=plot,drag_button="right"))
container = OverlayPlotContainer(bgcolor = "transparent",
fit_window = True)
container.add(plot)
# Create the Enable Window
window = EnableVTKWindow(rwi, renderer,
component=container,
istyle_class = tvtk.InteractorStyleTrackballCamera,
bgcolor = "transparent",
event_passthrough = True,
)
mlab.show()
def _forest_plot_default(self):
plot = Plot(self.plot_data)
plot.img_plot("forest_image")
plot.bounds = [0., 2.0]
return plot
def _forest_plot_default(self):
plot = Plot(self.plot_data)
plot.img_plot("forest_image")
plot.bounds = [0., 2.0]
return plot