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()
Output()
plot.objects[0].level = 0.5
plot.objects[0].wireframe = True
plot.objects[0].flat_shading = False
plot.camera_no_pan = True
plot.camera_no_rotate = True
plot.camera_no_zoom = True
plot.camera_no_pan = False
plot.camera_no_rotate = False
plot.camera_no_zoom = False
plt = plot.objects[0]
type(plt.wireframe)
bool
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))
plt_line = k3d.line([[0,0,0],[1,2,3]])
type(plt_line.vertices)
numpy.ndarray
Output()