Well, a rectangle is just two triangles, right? As for each point having a
different value, that is not a problem. I would take a good look at the
triangulation module. It is design to figure out the triangulations from an
arbitrary set of data, or you can specify the triangulations yourself. You
can then pass that information into any of the tri-* family of plotting
functions.
Cheers!
Ben Root
On Sat, Dec 6, 2014 at 11:32 AM, Diego Avesani <diego.aves...@gmail.com>
wrote:
> Dear all, Dear Benjamin, Dear Sappy85,
>
> probably I miss the meaning of structured and not-structured grid. In my
> grid I have only rectangular element, but they are not regular.
> Here an example. In what follows you can see the x and y vector of the
> point of one rectangle:
>
> X=0.1000 0.5950 0.5659 0.0951
> Y=0.0 0.0 0.1839 0.0309
>
> I would like to do as the Ben's example (
> http://matplotlib.org/examples/mplot3d/trisurf3d_demo.html), but with non
> regular rectangles.
> Moreover, in my my case each point has a different value.
>
> Am I asking to much?
> Thanks
>
>
> Diego
>
>
> On 5 December 2014 at 17:48, Benjamin Root <ben.r...@ou.edu> wrote:
>
>> I am a bit confused. Your variable is "TRI", but you keep saying
>> rectangles. You are also referring to unstructured rectangles, which makes
>> zero sense to me. Do you mean triangles?
>>
>> If you, matplotlib has the "tri-" family of functions and a whole module
>> devoted to triangulation-related tasks:
>> http://matplotlib.org/api/tri_api.html
>> http://matplotlib.org/examples/pylab_examples/tricontour_demo.html
>>
>> Even the mplot3d toolkit has (limited) support:
>> http://matplotlib.org/examples/mplot3d/trisurf3d_demo.html
>>
>> I hope that helps!
>> Ben Root
>>
>>
>> On Fri, Dec 5, 2014 at 11:38 AM, Sappy85 <robert.wittk...@gmx.de> wrote:
>>
>>> Hi diedro,
>>>
>>> try something like this:
>>>
>>> import matplotlib.patches as patches
>>> import matplotlib.pyplot as plt
>>>
>>> fig = plt.figure()
>>> ax = fig.add_subplot(111)
>>> verts = [0.2,0.8], [0.1,0.5], [0.7,0.1]
>>> poly = patches.Polygon(verts, ec='r', fc='g')
>>>
>>> ax.add_patch(poly)
>>> plt.show()
>>>
>>> <http://matplotlib.1069221.n5.nabble.com/file/n44560/help3.png>
>>>
>>> or this:
>>>
>>> import numpy as np
>>> import matplotlib
>>> matplotlib.use('Agg')
>>>
>>> from matplotlib.patches import Polygon
>>> from matplotlib.collections import PatchCollection
>>> import matplotlib.pyplot as plt
>>>
>>> fig, ax = plt.subplots()
>>>
>>> patches = []
>>> x = np.random.rand(3)
>>> y = np.random.rand(3)
>>>
>>> for i in range(3):
>>> polygon = Polygon(np.random.rand(3,2), True)
>>> patches.append(polygon)
>>>
>>>
>>> colors = 100*np.random.rand(len(patches))
>>> p = PatchCollection(patches, cmap=matplotlib.cm.jet, alpha=0.4)
>>> p.set_array(np.array(colors))
>>> ax.add_collection(p)
>>> plt.colorbar(p)
>>> plt.grid()
>>> plt.savefig('/var/www/img/help2.png',
>>> bbox_inches='tight',pad_inches=0.05)
>>>
>>> <http://matplotlib.1069221.n5.nabble.com/file/n44560/help2.png>
>>>
>>> Regards,
>>> Sappy85
>>>
>>>
>>>
>>>
>>> --
>>> View this message in context:
>>> http://matplotlib.1069221.n5.nabble.com/Patch-facecolors-tp44558p44560.html
>>> Sent from the matplotlib - users mailing list archive at Nabble.com.
>>>
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>>
>>
>>
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