Hi, I have several path objects that I want to join together with
make_compound_path.
For example, with p1 and p2:
In [136]: p1
Out[136]:
Path(array([[-29.85721973, -30. ],
[-29.84752676, -29.77715877],
[-29.88734508, -29.55431755],
[-29.97470553, -29.33147632],
[-30. , -29.28831083]]), None)
In [138]: p2
Out[138]:
Path(array([[-30. , 45.0000166 ],
[-29.94756898, 45.09749304],
[-29.87227011, 45.32033426],
[-29.84525888, 45.54317549],
[-29.86787108, 45.76601671],
[-29.93898847, 45.98885794],
[-30. , 46.10595725]]), None)
I can do path.Path.make_compound_path(p1, p2) which joins them successfully.
If I have a another path, p3, I can do:
path.Path.make_compound_path(p1, p2,p3), and so on.
However, in my script I never know how many paths I will have, so I'd like
to put them into some sort of container, and pass that to
make_compound_path. I've tried lists:
In [140]: p1p2 = [p1, p2]
In [141]: path.Path.make_compound_path(p1p2)
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-141-eb62de9fcada> in <module>()
----> 1 path.Path.make_compound_path(p1p2)
/usr/lib64/python2.7/site-packages/matplotlib-1.4.2-py2.7-linux-x86_64.egg
/matplotlib/path.py
in make_compound_path(cls, *args)
330 total_length = sum(lengths)
331
--> 332 vertices = np.vstack([x.vertices for x in args])
333 vertices.reshape((total_length, 2))
334
AttributeError: 'list' object has no attribute 'vertices'
without success. Can anybody suggest a way to do this?
Thanks, Evan
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