roi fails on [1,N] or [N,1] 2D masks

[laurensstoop]

Hi @fmaussion,

The ds_country.salem.roi(shape=country_shape) fails if the mask is [1,N] or [N,1].

Specifically I have mask on very course data that makes from switzerland a set of 3 boxes on the same latitude.

The traceback made me realise that it fails in sio.py at the def _salem_grid_from_dataset(ds): function.
The lines are

` # OK, get it
x = ds.variables[x][:]
y = ds.variables[y][:]

# Make the grid
dx = x[1]-x[0]  ### THIS DOESN'T WORK FOR 1D
dy = y[1]-y[0]  ### SAME
args = dict(nxny=(x.shape[0], y.shape[0]), proj=proj, dxdy=(dx, dy),
            x0y0=(x[0], y[0]))
return gis.Grid(**args)`

At the moment I bodged the info I needed from a different mask, so I can't help with a fool-proof solution.

~Laurens

[enable7924]

I came across the same issue.
If it doesn't hurt performance in your case you can call roi first then subset which worked for me.