It seems that there's currently an issue with displaying integer values (in particular, a numpy array with an integral dtype) in the ipyvolume scatter. The motivation for this is https://github.com/glue-viz/glue-jupyter/issues/449.
You can easily create some data to reproduce this as follows
import ipyvolume as ipv
from numpy.random import randint, random
ints = randint(0, 100, (100,))
ints_as_floats = ints.astype("float64")
floats_1 = random((100,))
floats_2 = random((100,))
If I create a scatter using the quickscatter with the integer array as one of the coordinate values, nothing displays:
But doing the same after converting the dtype of the integer array to float64, the scatter behaves as expected:
It seems that there's currently an issue with displaying integer values (in particular, a numpy array with an integral dtype) in the ipyvolume scatter. The motivation for this is https://github.com/glue-viz/glue-jupyter/issues/449.
You can easily create some data to reproduce this as follows
If I create a scatter using the quickscatter with the integer array as one of the coordinate values, nothing displays:
But doing the same after converting the dtype of the integer array to
float64, the scatter behaves as expected: