Yes, it is probably a good-sized chunk of work. In the recent
transforms overhaul, the 3d stuff was deferred, so it hasn't been
updated to use the new "way of doing things".
Just "getting it to work as it did before" is probably less work than
"rethinking what 3D means in the context of matplotlib", which is a
fundamentally 2D plotting environment. And there was some thinking
along the lines of "why bother with the former, if the latter may be on
the horizon?..." But I think it's going to take some motivated
individual to step up and do either of these.
Cheers,
Mike
Johann Cohen-Tanugi wrote:
> is there a lot of work involved in getting it in? I can wait a bit, or
> even try to help out.... It is not critical as I know plenty other way
> to get the plot I want.... Just that I love matplotlib and scipy
>
> best,
> Johann
>
> Michael Droettboom wrote:
>> 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: [EMAIL PROTECTED]
>>>> 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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