On Tue, Jan 7, 2014 at 2:29 PM, Adam Hughes <hughesada...@gmail.com> wrote:
> Sorry, quick followup. I did find the gallery example to plot multiple
> patches together:
>
> http://matplotlib.org/examples/api/patch_collection.html
>
> That's excellent. Now I guess my question is how best to generalize the
> process of turning my objects into patches. I think I will just try to
> keep the geometry (ie line --> mpatch.Line) unless anyone has any better
> suggestions.
>
As you've already found out, it sounds like you want a PatchCollection.
There is one catch, though. Your lines/curves will need to be converted to
PathPatches (which is trivial), which can then have a facecolor. Because
all items in a collection will have the same facecolor by default, this
means that your lines will become "filled" polygons, unless you specify
otherwise.
Therefore, you'll need to do something like this:
import matplotlib.pyplot as plt
from matplotlib.path import Path
import matplotlib.patches as mpatches
from matplotlib.collections import PatchCollection
# Just a simple line, but it could be a bezier curve, etc.
line = Path([(-20, -20), (-10, 10), (20, 20)])
# We'll need to convert the line to a PathPatch, and we'll throw in a
circle, too
line = mpatches.PathPatch(line)
circle = mpatches.Circle([0, 0])
# If we don't specify facecolor='none' for the line, it will be filled!
col = PatchCollection([line, circle], facecolors=['none', 'red'])
fig, ax = plt.subplots()
ax.add_collection(col)
ax.autoscale()
plt.show()
Alternatively, you can just put the lines/curves in a PathCollection and
the patches/polygons/etc in a PatchCollection.
Hope that helps!
-Joe
>
> Thanks!
>
>
> On Tue, Jan 7, 2014 at 3:08 PM, Adam Hughes <hughesada...@gmail.com>wrote:
>
>> Hi,
>>
>> I am working on a library for image analysis which stores particles as
>> indexed numpy arrays and provides functionality for managing the particles
>> beyond merely image masking or altering the arrays directly. I've already
>> designed classes for many common shapes including Lines/Curves,
>> Circles/Ellipses, Polygons, Multi-shapes (eg 4 circles with variable
>> overlap).
>>
>> What I'd really LOVE to do would be able to generate a
>> matplotlib.Collection instance from these objects as generally as possible.
>> Then, I'd be able to show data as a masked image, but also get a really
>> nice looking plot from the objects in their Collection representation.
>>
>> So my question really is in the implementation. First, is there a
>> general collection object that could work with ANY shape, or am I better
>> off matching my shape to that collection? For example:
>>
>> line --> LineCollection *vs.* line --> GeneralCollection
>> circle --> CircleCollection circle ---> GeneralCollection
>>
>> And then, is the Collections plotting API flexible enough to mix all of
>> these types together? Or would I have to settle for only being able to
>> plot a collection of any 1 shape type at at time?
>>
>> I will delve into the API further, but ascertaining this information
>> would really help me get started.
>>
>> Thanks
>>
>
>
>
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