Hi, First of all thanks you for such a great library with so many ex

Points being plot as Lines,about marcomusy/vedo

Comments (3)

marcomusy commented on July 17, 2024

it's clearly a bug in the k3d interface! Thanks a lot for spotting it,
while I fix it you can either:

set a very small non-zero number like `array([0.00001, 0., 0.])
use the 'itkwidget' backend instead of k3d:

from vtkplotter import Points, embedWindow
import numpy as np

embedWindow('itk')

positions = np.array(
      [[0.16621395, 0.28789101, 0.        ],
       [0.        , 0.        , 0.        ],
       [0.24386514, 0.        , 0.        ],
       [0.07767649, 0.04484654, 0.12684517],
       [0.        , 0.        , 0.        ],
       [0.02198013, 0.01269023, 0.0358934 ],
       [0.13108585, 0.00570134, 0.01612581],
       [0.36077809, 0.        , 0.        ],
       [0.22941974, 0.3399008 , 0.08126898],
       [0.15449964, 0.01249786, 0.03534928]])

Points(positions, c='black').show(bg='white')

from vedo.

mahendra-ramajayam commented on July 17, 2024

Thank you.

from vedo.

marcomusy commented on July 17, 2024

I just realized that you have a duplicated point in the list.. the k3d interface removes which causes the mismatch. I managed to fix that , the fix will be available in the next release.
If you use numpy.unique that also solves the problem:

from numpy import array, unique
from vtkplotter import show, Points, Plotter
positions = array([[0.16621395, 0.28789101, 0.        ],
       [0.        , 0.        , 0.        ],
       [0.24386514, 0.        , 0.        ],
       [0.07767649, 0.04484654, 0.12684517],
       [0.        , 0.        , 0.        ],
       [0.02198013, 0.01269023, 0.0358934 ],
       [0.13108585, 0.00570134, 0.01612581],
       [0.36077809, 0.        , 0.        ],
       [0.22941974, 0.3399008 , 0.08126898],
       [0.15449964, 0.01249786, 0.03534928]])

positions = unique(positions, axis=0)

plot_cba = Plotter()
points_cba = Points(positions, c='black', r=10)
plot_cba += points_cba
show(points_cba)