rendering bug in bar3d

Community matplotlib-users
1

Hi,
I am currently using this version :
matplotlib-0.99.1.win32-py2.6.exe
When I draw several Axes3D.bar3d in
the same figure, as in this example, the faces are not drawn in the correct
order.
Did I do something wrong or is it a
rendering bug?
Is there a workaround?
Thanks
Pierre-Yves de Brito
from
mpl_toolkits.mplot3d import
Axes3D
import
matplotlib.pyplot as
plt
from
numpy import
array, arange
contrib=[[0.18263,0.19098,0.16815,0.16295,0.09372,0.10505,0.15934],
[0.00769,0.01315,0.01668,0.01645,0.03536,0.03493,0.00599],
[0.47109,0.43646,0.43171,0.41794,0.14761,0.09472,0.21969],
[0.25633,0.28820,0.34066,0.37184,0.68048,0.72773,0.57749],
[0.06492,0.05539,0.03205,0.02151,0.03357,0.02411,0.01512]]
print
contrib[0]
N = 7
ind = arange(N) #
the x locations for the groups
width = 0.1

bug_graph3d.png

bug_graph3d.svg

··· 
  #

the width of the bars: can also be len(x) sequence
I = array([1,1,1,1,1,1,1])
fig = plt.figure()
ax = Axes3D(fig)
for
i in
range(1,7):
ax.bar3d(ind[i], 0,
0,
0.1,
0.1,
contrib[0][i],
color=‘b’)
ax.bar3d(array(ind[i])+0.15,
0,
0,
0.1,
0.1,
contrib[1][i],
color=‘r’)
ax.bar3d(array(ind[i])+20.15,
0,
0,
0.1,
0.1,
contrib[2][i],
color=‘g’)
ax.bar3d(array(ind[i])+30.15,
0,
0,
0.1,
0.1,
contrib[3][i],
color=‘c’)
ax.bar3d(array(ind[i])+40.15,
0,
0,
0.1,
0.1,
contrib[4][i],
color=‘m’*)

plt.show()


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can not guarantee the integrity of this message. BNP PARIBAS (and its subsidiaries) shall (will) not therefore be liable for the message if modified. Do not print this message unless it is necessary,
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---------------------------------------------
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2

I am also seeing this behavior and it is unfortunately holding my project
back.

I have seen it with python 2.6 on Debian Linux and Windows XP. I have seen
it in version 0.99.1 and the latest SVN tree (as of yesterday).

I want to highlight a portion of each 3d bar with another color. This image
shows what I want to do:
http://old.nabble.com/file/p27358778/bar3d-1.png
(http://www.benaxelrod.com/temp/bar3d-1.png)

But rotating the view leads to rendering issues:
http://old.nabble.com/file/p27358778/bar3d-2.png
(http://www.benaxelrod.com/temp/bar3d-2.png)

http://old.nabble.com/file/p27358778/bar3d-3.png
(http://www.benaxelrod.com/temp/bar3d-3.png)

In this example, the bars are drawn next to each other. Here is the source
code to generate the images:

# code adapted from: hist3d_demo.py
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np

fig = plt.figure()
ax = Axes3D(fig)
x, y = np.random.rand(2, 100) * 4
hist, xedges, yedges = np.histogram2d(x, y, bins=4)

elements = (len(xedges) - 1) * (len(yedges) - 1)
xpos, ypos = np.meshgrid(xedges[:-1]+0.25, yedges[:-1]+0.25)

xpos = xpos.flatten()
ypos = ypos.flatten()
zpos = np.zeros(elements)

dx = 0.5 * np.ones_like(zpos)
dy = dx.copy()
dz = hist.flatten()

dx = dx*0.5
xpos = xpos - dx

ax.bar3d(xpos, ypos, zpos, dx, dy, dz, color='b')
ax.bar3d(xpos+dx, ypos, zpos, dx, dy, dz, color='r')

ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')

plt.show()
#end code

I also tried to overlap the bars, but the result was even worse because from
certain angles one of the colors was not visible at all.

I thought that the issue might be due to calling bar3d muliple times. So I
tried passing in an array of collors to bar3d with no luck. It seems that
bar3d only takes a single color. Is this planned to be fixed so that
bar3d() can take a color array just like bar()?

Also note that even very simple examples demonstrate the bug. For example:
http://old.nabble.com/file/p27358778/bar3d-4.png
(http://www.benaxelrod.com/temp/bar3d-4.png)

http://old.nabble.com/file/p27358778/bar3d-5.png
(http://www.benaxelrod.com/temp/bar3d-5.png)

Thanks,
-Ben

pierre-yves.debrito wrote:

···

Hi,
I am currently using this version : matplotlib-0.99.1.win32-py2.6.exe
When I draw several Axes3D.bar3d in the same figure, as in this example,
the faces are not drawn in the correct order.
Did I do something wrong or is it a rendering bug?
Is there a workaround?

Thanks
Pierre-Yves de Brito

from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
from numpy import array, arange

contrib=[[0.18263,0.19098,0.16815,0.16295,0.09372,0.10505,0.15934],
[0.00769,0.01315,0.01668,0.01645,0.03536,0.03493,0.00599],
[0.47109,0.43646,0.43171,0.41794,0.14761,0.09472,0.21969],
[0.25633,0.28820,0.34066,0.37184,0.68048,0.72773,0.57749],
[0.06492,0.05539,0.03205,0.02151,0.03357,0.02411,0.01512]]

print contrib[0]
N = 7
ind = arange(N) # the x locations for the groups
width = 0.1 # the width of the bars: can also be len(x) sequence

I = array([1,1,1,1,1,1,1])

fig = plt.figure()
ax = Axes3D(fig)

for i in range(1,7):
    ax.bar3d(ind[i], 0, 0, 0.1, 0.1, contrib[0][i], color='b')
    ax.bar3d(array(ind[i])+0.15, 0, 0, 0.1, 0.1, contrib[1][i], color='r'
)
    ax.bar3d(array(ind[i])+2*0.15, 0, 0, 0.1, 0.1, contrib[2][i], color=
'g')
    ax.bar3d(array(ind[i])+3*0.15, 0, 0, 0.1, 0.1, contrib[3][i], color=
'c')
    ax.bar3d(array(ind[i])+4*0.15, 0, 0, 0.1, 0.1, contrib[4][i], color=
'm')

plt.show()

This message and any attachments (the "message") is
intended solely for the addressees and is confidential.
If you receive this message in error, please delete it and
immediately notify the sender. Any use not in accord with
its purpose, any dissemination or disclosure, either whole
or partial, is prohibited except formal approval. The internet
can not guarantee the integrity of this message.
BNP PARIBAS (and its subsidiaries) shall (will) not
therefore be liable for the message if modified.
Do not print this message unless it is necessary,
consider the environment.

                ---------------------------------------------

Ce message et toutes les pieces jointes (ci-apres le
"message") sont etablis a l'intention exclusive de ses
destinataires et sont confidentiels. Si vous recevez ce
message par erreur, merci de le detruire et d'en avertir
immediatement l'expediteur. Toute utilisation de ce
message non conforme a sa destination, toute diffusion
ou toute publication, totale ou partielle, est interdite, sauf
autorisation expresse. L'internet ne permettant pas
d'assurer l'integrite de ce message, BNP PARIBAS (et ses
filiales) decline(nt) toute responsabilite au titre de ce
message, dans l'hypothese ou il aurait ete modifie.
N'imprimez ce message que si necessaire,
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3

Hi,

Unfortunately z-sorting the polygons is a really hard problem. Or in
fact, in the way it is currently implemented, an unsolvable problem.
Please remember that mplot3d is not a full-blown 3d engine. Fixing
this would require either a z-buffer or things such as BSP trees,
which I do not think are feasible to implement.

However, I do believe that there might be a small bug lurking
somewhere or some other slight improvements to be made. I'll try to
look into it after my 2 week holiday.

Regards,
Reinier

···

On Thu, Jan 28, 2010 at 8:42 PM, baxelrod <baxelrod@...2066...> wrote:

I am also seeing this behavior and it is unfortunately holding my project
back.

I have seen it with python 2.6 on Debian Linux and Windows XP. I have seen
it in version 0.99.1 and the latest SVN tree (as of yesterday).

I want to highlight a portion of each 3d bar with another color. This image
shows what I want to do:
http://old.nabble.com/file/p27358778/bar3d-1.png
(http://www.benaxelrod.com/temp/bar3d-1.png)

But rotating the view leads to rendering issues:
http://old.nabble.com/file/p27358778/bar3d-2.png
(http://www.benaxelrod.com/temp/bar3d-2.png)

http://old.nabble.com/file/p27358778/bar3d-3.png
(http://www.benaxelrod.com/temp/bar3d-3.png)

In this example, the bars are drawn next to each other. Here is the source
code to generate the images:

# code adapted from: hist3d_demo.py
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np

fig = plt.figure()
ax = Axes3D(fig)
x, y = np.random.rand(2, 100) * 4
hist, xedges, yedges = np.histogram2d(x, y, bins=4)

elements = (len(xedges) - 1) * (len(yedges) - 1)
xpos, ypos = np.meshgrid(xedges[:-1]+0.25, yedges[:-1]+0.25)

xpos = xpos.flatten()
ypos = ypos.flatten()
zpos = np.zeros(elements)

dx = 0.5 * np.ones_like(zpos)
dy = dx.copy()
dz = hist.flatten()

dx = dx*0.5
xpos = xpos - dx

ax.bar3d(xpos, ypos, zpos, dx, dy, dz, color='b')
ax.bar3d(xpos+dx, ypos, zpos, dx, dy, dz, color='r')

ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')

plt.show()
#end code

I also tried to overlap the bars, but the result was even worse because from
certain angles one of the colors was not visible at all.

I thought that the issue might be due to calling bar3d muliple times. So I
tried passing in an array of collors to bar3d with no luck. It seems that
bar3d only takes a single color. Is this planned to be fixed so that
bar3d() can take a color array just like bar()?

Also note that even very simple examples demonstrate the bug. For example:
http://old.nabble.com/file/p27358778/bar3d-4.png
(http://www.benaxelrod.com/temp/bar3d-4.png)

http://old.nabble.com/file/p27358778/bar3d-5.png
(http://www.benaxelrod.com/temp/bar3d-5.png)

Thanks,
-Ben

pierre-yves.debrito wrote:

Hi,
I am currently using this version : matplotlib-0.99.1.win32-py2.6.exe
When I draw several Axes3D.bar3d in the same figure, as in this example,
the faces are not drawn in the correct order.
Did I do something wrong or is it a rendering bug?
Is there a workaround?

Thanks
Pierre-Yves de Brito

from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
from numpy import array, arange

contrib=[[0.18263,0.19098,0.16815,0.16295,0.09372,0.10505,0.15934],
[0.00769,0.01315,0.01668,0.01645,0.03536,0.03493,0.00599],
[0.47109,0.43646,0.43171,0.41794,0.14761,0.09472,0.21969],
[0.25633,0.28820,0.34066,0.37184,0.68048,0.72773,0.57749],
[0.06492,0.05539,0.03205,0.02151,0.03357,0.02411,0.01512]]

print contrib[0]
N = 7
ind = arange(N) # the x locations for the groups
width = 0.1 # the width of the bars: can also be len(x) sequence

I = array([1,1,1,1,1,1,1])

fig = plt.figure()
ax = Axes3D(fig)

for i in range(1,7):
ax.bar3d(ind[i], 0, 0, 0.1, 0.1, contrib[0][i], color='b')
ax.bar3d(array(ind[i])+0.15, 0, 0, 0.1, 0.1, contrib[1][i], color='r'
)
ax.bar3d(array(ind[i])+2*0.15, 0, 0, 0.1, 0.1, contrib[2][i], color=
'g')
ax.bar3d(array(ind[i])+3*0.15, 0, 0, 0.1, 0.1, contrib[3][i], color=
'c')
ax.bar3d(array(ind[i])+4*0.15, 0, 0, 0.1, 0.1, contrib[4][i], color=
'm')

plt.show()

This message and any attachments (the "message") is
intended solely for the addressees and is confidential.
If you receive this message in error, please delete it and
immediately notify the sender. Any use not in accord with
its purpose, any dissemination or disclosure, either whole
or partial, is prohibited except formal approval. The internet
can not guarantee the integrity of this message.
BNP PARIBAS (and its subsidiaries) shall (will) not
therefore be liable for the message if modified.
Do not print this message unless it is necessary,
consider the environment.

            \-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-

Ce message et toutes les pieces jointes (ci-apres le
"message") sont etablis a l'intention exclusive de ses
destinataires et sont confidentiels. Si vous recevez ce
message par erreur, merci de le detruire et d'en avertir
immediatement l'expediteur. Toute utilisation de ce
message non conforme a sa destination, toute diffusion
ou toute publication, totale ou partielle, est interdite, sauf
autorisation expresse. L'internet ne permettant pas
d'assurer l'integrite de ce message, BNP PARIBAS (et ses
filiales) decline(nt) toute responsabilite au titre de ce
message, dans l'hypothese ou il aurait ete modifie.
N'imprimez ce message que si necessaire,
pensez a l'environnement.

------------------------------------------------------------------------------
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--
Reinier Heeres
Tel: +31 6 10852639

4

I completely understand how hard z sorting can be. However, I think the orthogonal planes that compose the parallel boxes is a pretty constrained problem that does not require a general solution. I might be able to lend a hand if I had some pointers where to get started in the mplot3d library.

Thanks,
-Ben

···

-----Original Message-----
From: Reinier Heeres [mailto:reinier@…2663…]
Sent: Wednesday, February 03, 2010 6:10 PM
To: Ben Axelrod; pierre-yves.debrito@...1267...; ben.root@...1304...
Cc: matplotlib-users@lists.sourceforge.net
Subject: Re: [Matplotlib-users] re ndering bug in bar3d

Hi,

Unfortunately z-sorting the polygons is a really hard problem. Or in fact, in the way it is currently implemented, an unsolvable problem.
Please remember that mplot3d is not a full-blown 3d engine. Fixing this would require either a z-buffer or things such as BSP trees, which I do not think are feasible to implement.

However, I do believe that there might be a small bug lurking somewhere or some other slight improvements to be made. I'll try to look into it after my 2 week holiday.

Regards,
Reinier

On Thu, Jan 28, 2010 at 8:42 PM, baxelrod <baxelrod@...2066...> wrote:

I am also seeing this behavior and it is unfortunately holding my
project back.

I have seen it with python 2.6 on Debian Linux and Windows XP. I have
seen it in version 0.99.1 and the latest SVN tree (as of yesterday).

I want to highlight a portion of each 3d bar with another color. This
image shows what I want to do:
http://old.nabble.com/file/p27358778/bar3d-1.png
(http://www.benaxelrod.com/temp/bar3d-1.png)

But rotating the view leads to rendering issues:
http://old.nabble.com/file/p27358778/bar3d-2.png
(http://www.benaxelrod.com/temp/bar3d-2.png)

http://old.nabble.com/file/p27358778/bar3d-3.png
(http://www.benaxelrod.com/temp/bar3d-3.png)

In this example, the bars are drawn next to each other. Here is the
source code to generate the images:

# code adapted from: hist3d_demo.py
from mpl_toolkits.mplot3d import Axes3D import matplotlib.pyplot as
plt import numpy as np

fig = plt.figure()
ax = Axes3D(fig)
x, y = np.random.rand(2, 100) * 4
hist, xedges, yedges = np.histogram2d(x, y, bins=4)

elements = (len(xedges) - 1) * (len(yedges) - 1) xpos, ypos =
np.meshgrid(xedges[:-1]+0.25, yedges[:-1]+0.25)

xpos = xpos.flatten()
ypos = ypos.flatten()
zpos = np.zeros(elements)

dx = 0.5 * np.ones_like(zpos)
dy = dx.copy()
dz = hist.flatten()

dx = dx*0.5
xpos = xpos - dx

ax.bar3d(xpos, ypos, zpos, dx, dy, dz, color='b') ax.bar3d(xpos+dx,
ypos, zpos, dx, dy, dz, color='r')

ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')

plt.show()
#end code

I also tried to overlap the bars, but the result was even worse
because from certain angles one of the colors was not visible at all.

I thought that the issue might be due to calling bar3d muliple times.
So I tried passing in an array of collors to bar3d with no luck. It
seems that bar3d only takes a single color. Is this planned to be
fixed so that
bar3d() can take a color array just like bar()?

Also note that even very simple examples demonstrate the bug. For example:
http://old.nabble.com/file/p27358778/bar3d-4.png
(http://www.benaxelrod.com/temp/bar3d-4.png)

http://old.nabble.com/file/p27358778/bar3d-5.png
(http://www.benaxelrod.com/temp/bar3d-5.png)

Thanks,
-Ben

pierre-yves.debrito wrote:

Hi,
I am currently using this version : matplotlib-0.99.1.win32-py2.6.exe
When I draw several Axes3D.bar3d in the same figure, as in this
example, the faces are not drawn in the correct order.
Did I do something wrong or is it a rendering bug?
Is there a workaround?

Thanks
Pierre-Yves de Brito

from mpl_toolkits.mplot3d import Axes3D import matplotlib.pyplot as
plt from numpy import array, arange

contrib=[[0.18263,0.19098,0.16815,0.16295,0.09372,0.10505,0.15934],
[0.00769,0.01315,0.01668,0.01645,0.03536,0.03493,0.00599],
[0.47109,0.43646,0.43171,0.41794,0.14761,0.09472,0.21969],
[0.25633,0.28820,0.34066,0.37184,0.68048,0.72773,0.57749],
[0.06492,0.05539,0.03205,0.02151,0.03357,0.02411,0.01512]]

print contrib[0]
N = 7
ind = arange(N) # the x locations for the groups width = 0.1
# the width of the bars: can also be len(x) sequence

I = array([1,1,1,1,1,1,1])

fig = plt.figure()
ax = Axes3D(fig)

for i in range(1,7):
ax.bar3d(ind[i], 0, 0, 0.1, 0.1, contrib[0][i], color='b')
ax.bar3d(array(ind[i])+0.15, 0, 0, 0.1, 0.1, contrib[1][i], color='r'
)
ax.bar3d(array(ind[i])+2*0.15, 0, 0, 0.1, 0.1, contrib[2][i],
color=
'g')
ax.bar3d(array(ind[i])+3*0.15, 0, 0, 0.1, 0.1, contrib[3][i],
color=
'c')
ax.bar3d(array(ind[i])+4*0.15, 0, 0, 0.1, 0.1, contrib[4][i],
color=
'm')

plt.show()

This message and any attachments (the "message") is intended solely
for the addressees and is confidential.
If you receive this message in error, please delete it and
immediately notify the sender. Any use not in accord with its
purpose, any dissemination or disclosure, either whole or partial, is
prohibited except formal approval. The internet can not guarantee the
integrity of this message.
BNP PARIBAS (and its subsidiaries) shall (will) not therefore be
liable for the message if modified.
Do not print this message unless it is necessary, consider the
environment.

            \-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-

Ce message et toutes les pieces jointes (ci-apres le
"message") sont etablis a l'intention exclusive de ses destinataires
et sont confidentiels. Si vous recevez ce message par erreur, merci
de le detruire et d'en avertir immediatement l'expediteur. Toute
utilisation de ce message non conforme a sa destination, toute
diffusion ou toute publication, totale ou partielle, est interdite,
sauf autorisation expresse. L'internet ne permettant pas d'assurer
l'integrite de ce message, BNP PARIBAS (et ses
filiales) decline(nt) toute responsabilite au titre de ce message,
dans l'hypothese ou il aurait ete modifie.
N'imprimez ce message que si necessaire, pensez a l'environnement.

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