descartes, python package, error in polygonpatch

Question

I have installed the latest Descartes package using pip3. But I cannot seem to run the example code provided in the website.

`

    IndexError                                Traceback (most recent call last)
/tmp/ipykernel_500743/916321365.py in <module>
     20 
     21 dilated = line.buffer(0.5)
---> 22 patch1 = PolygonPatch(dilated, fc=BLUE, ec=BLUE, alpha=0.5, zorder=2)
     23 ax.add_patch(patch1)
     24 

~/.local/lib/python3.8/site-packages/descartes/patch.py in PolygonPatch(polygon, **kwargs)
     85 
     86     """
---> 87     return PathPatch(PolygonPath(polygon), **kwargs)

~/.local/lib/python3.8/site-packages/descartes/patch.py in PolygonPath(polygon)
     60                 "A polygon or multi-polygon representation is required")
     61 
---> 62     vertices = concatenate([
     63         concatenate([asarray(t.exterior.coords)[:, :2]] +
     64                     [asarray(r)[:, :2] for r in t.interiors])

~/.local/lib/python3.8/site-packages/descartes/patch.py in <listcomp>(.0)
     62     vertices = concatenate([
     63         concatenate([asarray(t.exterior.coords)[:, :2]] +
---> 64                     [asarray(r)[:, :2] for r in t.interiors])
     65         for t in polygon])
     66     codes = concatenate([

~/.local/lib/python3.8/site-packages/descartes/patch.py in <listcomp>(.0)
     62     vertices = concatenate([
     63         concatenate([asarray(t.exterior.coords)[:, :2]] +
---> 64                     [asarray(r)[:, :2] for r in t.interiors])
     65         for t in polygon])
     66     codes = concatenate([

IndexError: too many indices for array: array is 0-dimensional, but 2 were indexed

There is a similar post, I tried to apply the suggestions in that post, as you can see in the last few lines of the error, by simply changing

t.exterior

to

t.exterior.coords.

the error is not resolved. I have shapely version (2.0.1), and numpy (1.22.3) installed.

Answer 1

Run

pip uninstall shapely

and

pip install shapely==1.8.5