def anim():
from mayavi import mlab as M
M.options.offscreen = True
M.test_mesh()
f = M.figure()
print f
for i in range(36):
f.scene.camera.azimuth(10)
M.savefig('img%02i.png'%i)
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():
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():
# 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 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.set(resizable = "", bounds = [200,200], outer_x = 0,
bgcolor = "transparent",
)
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].set(tool_mode="range", axis="value")
spectrogram.tools[-2].set(constrain=True, 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()
A simple example of the plot of a 3D graph with Mayavi in order to test the autonomy of the gallery. """ # Code source: Alex Gramfort # License: BSD 3 clause # This will show the mlab.test_mesh figure in the gallery # sphinx_gallery_thumbnail_number = 4 from mayavi import mlab mlab.test_plot3d() mlab.figure() mlab.test_contour3d() ##################################################################### # Note: this shows that inside a cell matplotlib figures are always # put before mayavi in the example HTML. In other words, the order of # plotting is not respected between matplotlib and mayavi figures mlab.figure() mlab.test_mesh() mlab.figure() mlab.test_flow() import matplotlib.pyplot as plt plt.plot([1, 2, 3], [1, 2, 3])
