[Matplotlib-users] plotting a series of 3D points and, picker=True and 3D

Johann Cohen-Tanugi wrote:

is basemap deferred as well? It is kinda 3D no?

I understand basemap is working reasonably well. But Jeff Whitaker would know better than I.

Second a color map or contour plot is kinda 2D either...... unless I am confusing what you mean by 2D : 2D in rendering or in data structure?

I mean 2D in rendering -- matplotlib is fundamentally built on top of 2D rendering APIs, which makes doing a lot of 3D things more computationally expensive and less flexible than a dedicated 3D plotting package.

Anyway, I am probably not the motivated individual to tackle this work, most of all because I do not know matplotlib internals, I am just a user, albeit with coding abilities.

Well, anyone can jump in :wink: Unfortunately, I probably don't have the time for that now. I believe John Hunter has some more fully-formed ideas about where 3D in matplotlib should go and where the best path may be going forward.

Cheers,
Mike

ยทยทยท

Michael Droettboom wrote:

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" <neilcrighton@...149...>
Subject: Re: [Matplotlib-users] plotting a series of 3D points and
    picker=True and 3D
To: matplotlib-users@lists.sourceforge.net
Message-ID:
    <63751c30801271418m66f88113md6e7a0f42bef29f4@...150...>
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