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" <[EMAIL PROTECTED]>
>> Subject: Re: [Matplotlib-users] plotting a series of 3D points and
>> picker=True and 3D
>> To: matplotlib-users@lists.sourceforge.net
>> Message-ID:
>> <[EMAIL PROTECTED]>
>> 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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--
Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA
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