Patch + facecolors

Dear matplotlib users,

I would like to know if there is in matplotlib the following Matlab function:

p=patch(x(TRI’),y(TRI’),u(TRI’),u(TRI’));

set(p,‘FaceColor’,‘interp’,‘EdgeColor’,‘black’);

where TRI are the coordinate of many non regular rectangles.

I would like to do that because I have a not-structured grid whose elements are irregular rectangles. I would like to plot a 3D surface of the values on each points of the grid.

Thanks in advance to everyone

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
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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.wittkopf@…380…> 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§

plt.colorbar§

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

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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

···

On 5 December 2014 at 17:48, Benjamin Root <ben.root@…1304…> 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


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Diego

On Fri, Dec 5, 2014 at 11:38 AM, Sappy85 <robert.wittkopf@…380…> 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§

plt.colorbar§

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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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.avesani@…287…> 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.root@…1304…> 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


Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT Server

from Actuate! Instantly Supercharge Your Business Reports and Dashboards

with Interactivity, Sharing, Native Excel Exports, App Integration & more

Get technology previously reserved for billion-dollar corporations, FREE

http://pubads.g.doubleclick.net/gampad/clk?id=164703151&iu=/4140/ostg.clktrk


Matplotlib-users mailing list

Matplotlib-users@lists.sourceforge.net

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On Fri, Dec 5, 2014 at 11:38 AM, Sappy85 <robert.wittkopf@…83…380…> 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§

plt.colorbar§

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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Matplotlib-users@lists.sourceforge.net

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