Version
v2026.7.0
How did you install UXarray?
Source
What happened?
Slicing UxDataArray or UxDataset using .isel() and providing a slice object fails with TypeError: int() argument must be a string, a bytes-like object or a real number, not 'slice'.
What did you expect to happen?
I expected .isel() to properly select the indicated indices even when a slice object is used to indicate them.
Combining .isel() with .plot() seems like a decent way to visualize "which faces are which?" For example, I might use uxarr.isel(n_face=slice(0, 100, 5)) to understand how faces 0, 5, 10, ... are laid out in the grid.
Can you provide a MCVE to repoduce the bug?
import uxarray as ux
ds = ux.tutorial.open_dataset("outCSne30-vortex")
ds.isel(n_face=slice(None, None, 10)) # should get every 10th face.
# but actually, crashes with TypeError.
arr = ds['psi']
arr.isel(n_face=slice(2, 15, 3)) # should get faces 2, 5, 8, 11, 14
# but actually, crashes with TypeError.
# maybe helpful to note, the following seems to work just fine:
arr.isel(n_face=[2,5,8,11,14])
Version
v2026.7.0
How did you install UXarray?
Source
What happened?
Slicing UxDataArray or UxDataset using
.isel()and providing asliceobject fails withTypeError: int() argument must be a string, a bytes-like object or a real number, not 'slice'.What did you expect to happen?
I expected
.isel()to properly select the indicated indices even when a slice object is used to indicate them.Combining .isel() with .plot() seems like a decent way to visualize "which faces are which?" For example, I might use
uxarr.isel(n_face=slice(0, 100, 5))to understand how faces 0, 5, 10, ... are laid out in the grid.Can you provide a MCVE to repoduce the bug?