On 09/13/2010 04:46 PM, jules hummon wrote: > Virgil > > The scheme illustrated below actually does work. > >> Message: 5 >> Date: Mon, 13 Sep 2010 12:55:43 -1000 >> From: Eric Firing<efir...@hawaii.edu> >> Subject: Re: [Matplotlib-users] matplotlib on Ubuntu 10.04 (64-bit) >> To: matplotlib-users@lists.sourceforge.net >> Message-ID:<4c8eabef.30...@hawaii.edu> >> Content-Type: text/plain; charset="iso-8859-1" >> >> On 09/13/2010 12:08 PM, Virgil Stokes wrote: >>>> On 2010-09-13 21:55, Benjamin Root wrote: >>>>>> On Mon, Sep 13, 2010 at 2:38 PM, Virgil Stokes<v...@it.uu.se >>>>>> <mailto:v...@it.uu.se>> wrote: >>>>>> > > >> If you would like up-to-date versions of both numpy and matplotlib, then >> you can either find and install the *dev packages individually, or do >> something like this: >> >> sudo apt-get build-dep python-matplotlib >> sudo apt-get remove python > ^^^^^^^ > > No, that is probably supposed to be > > sudo apt-get remove numpy
Horrible mistake on my part. Put your version and mine together, and it works: sudo apt-get remove python-numpy > >> >> Now untar your numpy, go in, build and install: >> >> setup.py build >> sudo setup.py install >> >> And last, do the same for matplotlib, preferably with a checkout from >> svn. Some bugs have been fixed since the last release. >> >> Before all of this, you might do well to uninstall whatever versions or >> parts of numpy and matplotlib had been installed via your previous efforts. >> > >[snip] > > > > Eric > > You can tell whether you have any leftover pieces of numpy or matplotlib > from the *.deb files by looking in /usr/lib/python2.6/dist-packages > for "numpy" or "matplotlib". > > Eric, the script was scrubbed. Does it land somewhere else? It was in the message as distributed, and as received by at least one mail archive: http://www.mail-archive.com/matplotlib-users@lists.sourceforge.net/msg18475.html Eric > > Jules > > (Jules Hummon/Univ. Hawaii/physical oceanography) > ------------------------------------------------------------------------------ Start uncovering the many advantages of virtual appliances and start using them to simplify application deployment and accelerate your shift to cloud computing. http://p.sf.net/sfu/novell-sfdev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
