In [1]:

    

import k3d
import numpy as np

X, Y, Z = np.mgrid[:30, :30, :30]
# scaled distance from the "center" (15, 15, 15) of this scalar field
scalar_field = ((X-15.0)/15.0)**2 + ((Y-15.0)/15.0)**2 + ((Z-15.0)/15.0)**2

plot = k3d.plot()
plot += k3d.marching_cubes(scalar_field.astype(np.float32), level=0.8)
plot.display()


    

In [2]:

    

plot.objects[0].level = 0.5


    

In [3]:

    

plot.objects[0].wireframe = True


    

In [4]:

    

plot.objects[0].flat_shading = False


    

In [5]:

    

plot.camera_no_pan = True


    

In [6]:

    

plot.camera_no_rotate = True


    

In [7]:

    

plot.camera_no_zoom = True


    

In [8]:

    

plot.camera_no_pan = False
plot.camera_no_rotate = False
plot.camera_no_zoom = False


    

In [9]:

    

plt = plot.objects[0]


    

In [11]:

    

type(plt.wireframe)


    

    
Out[11]:





bool

In [12]:

    

plt.scalar_field = ((X**2-15.0)/15.0)**2 + ((Y-15.0)/15.0)**2 + ((Z-15.0)/15.0)**2


    

    




/Users/marcin/anaconda3/lib/python3.7/site-packages/traittypes/traittypes.py:101: UserWarning: Given trait value dtype "float64" does not match required type "float32". A coerced copy has been created.
  np.dtype(self.dtype).name))

In [18]:

    

plt_line = k3d.line([[0,0,0],[1,2,3]])


    

In [21]:

    

type(plt_line.vertices)


    

    
Out[21]:





numpy.ndarray

In [20]:

    




    

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