def main():
from basic_move import Box
from enable.api import Container
container = Container()
box = Box(bounds=[30, 30], position=[20, 20], padding=5)
container.add(box)
# Create the mlab test mesh and get references to various parts of the
# VTK pipeline
m = mlab.test_mesh()
scene = mlab.gcf().scene
render_window = scene.render_window
renderer = scene.renderer
rwi = scene.interactor
# Create the Enable Window
window = EnableVTKWindow(
rwi,
renderer,
component=container,
#istyle_class = tvtk.InteractorStyleSwitch,
istyle_class=tvtk.InteractorStyle,
resizable="v",
bounds=[100, 100],
padding_top=20,
padding_bottom=20,
padding_left=20,
)
#rwi.render()
#rwi.start()
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 start_vtk(component):
f = mlab.figure(size=(700, 500))
m = mlab.test_mesh()
scene = mlab.gcf().scene
render_window = scene.render_window
renderer = scene.renderer
rwi = scene.interactor
window = EnableVTKWindow(
rwi,
renderer,
component=component,
istyle_class=tvtk.InteractorStyleTrackballCamera,
bgcolor="transparent",
event_passthrough=True,
)
mlab.show()
def main():
from tvtk.api import tvtk
from mayavi import mlab
from enable.vtk_backend.vtk_window import EnableVTKWindow
f = mlab.figure(size=(900, 850))
m = mlab.test_mesh()
scene = mlab.gcf().scene
render_window = scene.render_window
renderer = scene.renderer
rwi = scene.interactor
# Create the plot
timer_controller = TimerController()
plots = create_plot_component(timer_controller)
specplot, timeplot, spectrogram = plots
for i, p in enumerate(plots):
p.resizable = ""
p.bgcolor = "transparent"
p.bounds = [200, 200]
p.outer_x = 0
p.outer_y = i * 250
p.tools.append(MoveTool(p, drag_button="right"))
p.tools.append(PanTool(p))
p.tools.append(ZoomTool(p))
spectrogram.tools[-1].tool_mode = "range"
spectrogram.tools[-1].axis = "value"
spectrogram.tools[-2].constrain = True
spectrogram.tools[-2].constrain_direction = "y"
container = OverlayPlotContainer(bgcolor="transparent", fit_window=True)
container.add(*plots)
container.timer_callback = timer_controller.on_timer
window = EnableVTKWindow(
rwi,
renderer,
component=container,
istyle_class=tvtk.InteractorStyleTrackballCamera,
bgcolor="transparent",
event_passthrough=True,
)
mlab.show()
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()