回复:Re: [wxPython-users] visualization - bar magnet

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回复:Re: [wxPython-users] visualization - bar magnet

imagepy

mayavi doesnot support wxphonix, so I wrote a simple one named myvi, I think it will be help to you.

https://github.com/yxdragon/myvi

on windows is ok, but on mack and linux cannot build gl3.3 context. I think it is wx's bug, (my vi can run ok with qt on mac and linux) anyone can help?



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-------- 原始邮件 --------

发件人:Chris Barker
时    间:2017年11月21日 06:29(星期二)
收件人:wxpython-users
主题:Re: [wxPython-users] visualization - bar magnet

I think you're going to want mayavi for this :-)

wx itself provides nothing for 3D -- so you would have a lot of code to write :-)

you can embed an OpenGL Window in wx, but then you have to write all the OpenGL code...

BTW, if you can stick with 2D, then wx.lib.floatcanvas would help a lot.



-CHB


On Mon, Nov 20, 2017 at 9:27 AM, Simonious Rex <[hidden email]> wrote:
I've got this great example (included below) and I want to implement this sort of visualization as a function.
I'd love to be able to step forward and backward, as well as free run, but I don't need to start with that functionality.

I would like the visual elements to be shaped like bar magnet arrows and I'd like to be able to control their (x,y,z)position, color, orientation and (x,y,z)size.

My intention is to maintain an array of data, perform some calculations between the elements and generate a second array, this array will then call the above function to create a visualization, then the second set of data will become the first set of data and the process will repeat.

For a first example I'm hoping to program a 3D version of life, from there I will be adding some additional behaviors which will include the color and orientation.

Example code follows:

#Prabhu Ramachandran


import numpy as np

from mayavi import mlab

import time


def step(x, y, z):

  data = np.random.random(x.shape)

  cond = data > 0.75


return x[cond], y[cond], z[cond], data[cond]


#x, y, z = np.mgrid[0:10:50j, 0:10:50j, 0:4:20j]

x, y, z = np.mgrid[0:3:20j, 0:3:20j, 0:3:20j]


xn, yn, zn, sn = step(x, y, z)


# Will give you spheres, use mode='cube' for cubes.

pts = mlab.points3d(xn, yn, zn, sn, scale_mode='none', scale_factor=0.1)

#pts = mlab.points3d(xn, yn, zn, sn, mode='cube', scale_mode='none', scale_factor=0.1)



@mlab.animate

def anim():

  while True:

    xn, yn, zn, sn = step(x, y, z)

    pts.mlab_source.reset(x=xn, y=yn, z=zn, scalars=sn)


    # Do this if the scene does not update: needed for slightly older versions of Mayavi.

    pts.mlab_source.update()


    time.sleep(0.01)  # Slow things down a bit.

    yield


anim()


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