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 > > > ------------------------------------------------------------------------- This SF.net email is sponsored by: Microsoft Defy all challenges. Microsoft(R) Visual Studio 2008. http://clk.atdmt.com/MRT/go/vse0120000070mrt/direct/01/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users