文章目录

• 建立mayavi窗口步骤
• 简单的mayavi窗口
• 基于交互控制的Mayavi窗口

建立mayavi窗口步骤

• 建立从HasTraits继承的类
  • 建立MlabSceneModel场景实例scene
  • 建立View视图
  • 定义__init__函数，生成数据
• 建立类的实例，调用configure_traits()方法

简单的mayavi窗口

from numpy import sqrt, sin, mgrid
from traits.api import HasTraits, Instance
from traitsui.api import View, Item
from tvtk.pyface.scene_editor import SceneEditor
from mayavi.tools.mlab_scene_model import MlabSceneModel
from mayavi.core.ui.mayavi_scene import MayaviScene


class ActorViewer(HasTraits):
    # 场景模型
    scene = Instance(MlabSceneModel, ())  # 建立场景实例
    # 建立视图
    view = View(Item(name='scene',  # 提供Mayavi视图窗口
                     editor=SceneEditor(scene_class=MayaviScene),
                     show_label=False,
                     resizable=True,
                     height=500,
                     width=500),
                resizable=True)

    def __init__(self, **traits):
        HasTraits.__init__(self, **traits)
        self.generate_data()

    def generate_data(self):
        # 建立数据
        X, Y = mgrid[-2:2:100j, -2:2:100j]
        R = 10 * sqrt(X ** 2 + Y ** 2)
        Z = sin(R) / R
        # 绘制数据
        self.scene.mlab.surf(X, Y, Z, colormap='cool')


if __name__ == '__main__':
    a = ActorViewer()
    a.configure_traits()

基于交互控制的Mayavi窗口

from traits.api import HasTraits, Range, Instance, on_trait_change
from traitsui.api import View, Item, Group
from mayavi.core.api import PipelineBase
from mayavi.core.ui.api import MayaviScene, SceneEditor, MlabSceneModel

from numpy import arange, pi, cos, sin

dphi = pi / 300.
phi = arange(0.0, 2 * pi + 0.5 * dphi, dphi, 'd')


def curve(n_mer, n_long):
    mu = phi * n_mer
    x = cos(mu) * (1 + cos(n_long * mu / n_mer) * 0.5)
    y = sin(mu) * (1 + cos(n_long * mu / n_mer) * 0.5)
    z = 0.5 * sin(n_long * mu / n_mer)
    t = sin(mu)
    return x, y, z, t


class MyModel(HasTraits):
    n_meridional = Range(0, 30, 6)
    n_longitudinal = Range(0, 30, 11)
    # 场景模型实例
    scene = Instance(MlabSceneModel, ())
    # 管线实例
    plot = Instance(PipelineBase)

    # 当场景被激活，或者参数发生改变，更新图形
    @on_trait_change('n_meridional,n_longitudinal,scene.activated')
    def update_plot(self):
        x, y, z, t = curve(self.n_meridional, self.n_longitudinal)
        if self.plot is None:  # 如果plot未绘制则生成plot3d
            self.plot = self.scene.mlab.plot3d(x, y, z, t,
                                               tube_radius=0.025, colormap='Spectral')
        else:  # 如果数据有变化，将数据更新即重新赋值
            self.plot.mlab_source.set(x=x, y=y, z=z, scalars=t)

    # 建立视图布局
    view = View(Item('scene', editor=SceneEditor(scene_class=MayaviScene),
                     height=250, width=300, show_label=False),
                Group('_', 'n_meridional', 'n_longitudinal'),
                resizable=True)

if __name__ == '__main__':
    model = MyModel()
    model.configure_traits()

标签：__,17,traits,self,Mayavi,scene,TraitsUI,import,mayavi
来源： https://blog.csdn.net/Exupery_/article/details/77528907