plotting a series of 3D points and, picker=True and 3D

hello,
thanks for answering. I actually fail with the import :
In [1]: from matplotlib import axes3d

···

---------------------------------------------------------------------------
ImportError Traceback (most recent call last)

/home/cohen/bstw/<ipython console> in <module>()

/usr/lib/python2.5/site-packages/matplotlib/axes3d.py in <module>()
     14 from axes import Axes
     15 import cbook
---> 16 from transforms import unit_bbox
     17
     18 import numpy as npy

ImportError: cannot import name unit_bbox

any idea?

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

Message: 1
Date: Sun, 27 Jan 2008 22:18:00 +0000
From: "Neil Crighton" <neilcrighton@...287...>
Subject: Re: [Matplotlib-users] plotting a series of 3D points and
  picker=True and 3D
To: matplotlib-users@lists.sourceforge.net
Message-ID:
  <63751c30801271418m66f88113md6e7a0f42bef29f4@...288...>
Content-Type: text/plain; charset=ISO-8859-1

I think scatter3D does what you want:

from matplotlib import axes3d
import pylab as pl
fig = pl.figure()
ax = axes3d.Axes3D(fig)
ax.scatter3D(data[:,0],data[:,1],data[:,2])
ax.set_xlabel('X value')
ax.set_ylabel('Y value')
ax.set_zlabel('Z value')
pl.show()

You could also change the colour and size of each point based on other
array values:

col = ax.scatter3D(data[:,0], data[:,1], data[:,2], c=data[:,3],
cmap=pl.cm.jet, s=data[:,4])
cbar = fig.colorbar(col,shrink=0.9,extend='both')
cbar.ax.set_ylabel('axis 3 data values')

Pretty nifty.

Neil

The axes3d stuff is not currently working on the SVN trunk. You probably want to use 0.91.2 or the v0_91_maint branch in SVN instead.

Cheers,
Mike

Johann Cohen-Tanugi wrote:

···

hello,
thanks for answering. I actually fail with the import :
In [1]: from matplotlib import axes3d
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)

/home/cohen/bstw/<ipython console> in <module>()

/usr/lib/python2.5/site-packages/matplotlib/axes3d.py in <module>()
     14 from axes import Axes
     15 import cbook
---> 16 from transforms import unit_bbox
     17
     18 import numpy as npy

ImportError: cannot import name unit_bbox

any idea?

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

Message: 1
Date: Sun, 27 Jan 2008 22:18:00 +0000
From: "Neil Crighton" <neilcrighton@...287...>
Subject: Re: [Matplotlib-users] plotting a series of 3D points and
  picker=True and 3D
To: matplotlib-users@lists.sourceforge.net
Message-ID:
  <63751c30801271418m66f88113md6e7a0f42bef29f4@...288...>
Content-Type: text/plain; charset=ISO-8859-1

I think scatter3D does what you want:

from matplotlib import axes3d
import pylab as pl
fig = pl.figure()
ax = axes3d.Axes3D(fig)
ax.scatter3D(data[:,0],data[:,1],data[:,2])
ax.set_xlabel('X value')
ax.set_ylabel('Y value')
ax.set_zlabel('Z value')
pl.show()

You could also change the colour and size of each point based on other
array values:

col = ax.scatter3D(data[:,0], data[:,1], data[:,2], c=data[:,3],
cmap=pl.cm.jet, s=data[:,4])
cbar = fig.colorbar(col,shrink=0.9,extend='both')
cbar.ax.set_ylabel('axis 3 data values')

Pretty nifty.

Neil

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