Help with weird uxarray, matplotlib, and orthographic plot

[mathomp4]

Today I was trying out different things with uxarray and some data and found an...oddity. With the bokeh backend, I get a nice pretty image with an Orthographic projection:

but when I try and use the matplotlib backend:

Does anyone know what I might be doing wrong? My "relevant" code is:

import uxarray as ux
import geoviews as gv
import geoviews.feature as gf
import cartopy
import cartopy.feature as cf
import cartopy.crs as ccrs
import holoviews as hv

graticules = cf.NaturalEarthFeature(
    category='physical',
    name='graticules_15',
    scale='50m')

ofeatures = gf.coastline(
    projection=ccrs.Orthographic(), line_width=1, scale="50m"
) * gf.borders(
    projection=ccrs.Orthographic(), line_width=1, scale="50m"
) * gv.Feature(graticules, group='Lines')

ortho_plot = uxds['SLP'][0].plot.polygons(
    rasterize=True, 
    cmap='viridis', 
    backend='matplotlib', 
    projection=ccrs.Orthographic(),
).opts(
    global_extent=True,
    xaxis=None,
    yaxis=None 
) * ofeatures

Just the backend change in ortho_plot is the differences between these two. Note: This is a mix of uxarray examples and Gemini/ChatGPT/whatever so I freely admit I probably did something stupid!

[mathomp4]

I can provide the input file I used for this as well. It is a GEOS cubed-sphere output which is "auto-readable" by uxarray since #802

[mathomp4]

Also: I don't see this issue with PlateCarree.

[erogluorhan]

Hi @mathomp4 thanks for reporting this! We will look into it ASAP and get back to you, and yes please provide us with a pointer to the data. I have created Issue #1489 to tackle this

[mathomp4]

@erogluorhan Thanks! I'll add a link reference to the issue