+1 for macports (I haven't used the others.) On Mar 13, 2014, at 10:12AM, Felix Patzelt wrote:
> Are you sure that you want to use Python 3.3 on OSX 10.6??? Do you really > still use 10.6? Do you want Python 3? I'm not sure on the current status, but > many projects took quite a while to get ported over from Python 2. > Furthermore, as often with free software, installation can be a bit tricky. > It is certainly a very different experience than installing "normal" Mac > applications. > > For a bit of context, most Linux distribution have some version of Python / > Matplotlib in their respective package managers. These are easily installed > if the particular package manager on your Linux offers the versions you want. > Otherwise, you will have to do some work. > > OSX does not have an official package manager, but there are several > inofficial options. I'm using http://www.macports.org which is slow because > it installs its own private versions for everything, but it works very well. > This is probably the easiest way to get all the open source stuff you want on > your Mac and I use it a lot. Another popular and more lightweight package > manager is homebrew, which relies more on the system libraries from Apple. > > The minimal installation instructions without a package manager seem to be > these: > https://github.com/rueckstiess/mtools/wiki/matplotlib-Installation-Guide If > you're a real unix hacker, you can install everything from source. I did that > before, and it takes a lot of time and in-depth knowledge. > > Finally, there are several pre-packaged distributions like > https://www.enthought.com or https://store.continuum.io/cshop/anaconda/ (see > http://penandpants.com/install-python/). They might come with a normal OSX > installer. Maybe https://code.google.com/p/spyderlib/ does the trick for you? > > Anyway, these are just some suggestions. Maybe you want to start a separate > thread on the mailing list about the best way to install matplotlib on a mac. > Please note that I cannot comment in detail on any of the installation > methods that I didn't use myself. > > > > > Am 13.03.2014 um 17:36 schrieb Christophe Bal <projet...@gmail.com>: > >> I've tested a more simpler Python code. >> >> from pylab import * >> plot([1,2,3]) >> show() >> >> This gives me a scary backend MacOSX version unknown. I've used the official >> DMG installer matplotlib-1.3.1-py3.3-python.org-macosx10.6.dmg. >> >> This seems to be a big problem. No ? >> >> >> $HOME=/Users/xxxx >> matplotlib data path >> /Library/Frameworks/Python.framework/Versions/3.3/lib/python3.3/site-packages/matplotlib/mpl-data >> loaded rc file >> /Library/Frameworks/Python.framework/Versions/3.3/lib/python3.3/site-packages/matplotlib/mpl-data/matplotlibrc >> matplotlib version 1.3.1 >> verbose.level helpful >> interactive is False >> platform is darwin >> CACHEDIR=/Users/xxxx/.matplotlib >> Using fontManager instance from /Users/xxxx/.matplotlib/fontList.py3k.cache >> backend MacOSX version unknown >> >> >> 2014-03-13 17:31 GMT+01:00 Felix Patzelt <fe...@neuro.uni-bremen.de>: >> Well, there is a list in ~/.matplotlib/matplotlibrc (see >> http://matplotlib.org/users/customizing.html) >> >>> #### CONFIGURATION BEGINS HERE >>> >>> # the default backend; one of GTK GTKAgg GTKCairo CocoaAgg FltkAgg >>> # MacOSX QtAgg Qt4Agg TkAgg WX WXAgg Agg Cairo GDK PS PDF SVG Template >>> # You can also deploy your own backend outside of matplotlib by >>> # referring to the module name (which must be in the PYTHONPATH) as >>> # 'module://my_backend' >>> backend : Qt4Agg >> >> see also: >> http://stackoverflow.com/questions/5091993/list-of-all-available-matplotlib-backends >> >> I'm not sure about the dependencies, I guess you have to check out each one >> of them. If you don't use a package manager, resolving all dependency issues >> might be quite painful. >> >> Best, >> Felix Patzelt >> >> Am 13.03.2014 um 17:18 schrieb Christophe Bal <projet...@gmail.com>: >> >>> Thanks a lot for this big hint but neither TkAgg works nor Qt4Agg can work >>> (because I do not have PyQt). >>> >>> Is there a complete list of all the backends ? >>> >>> Christophe BAL >>> >> >> > > ------------------------------------------------------------------------------ > Learn Graph Databases - Download FREE O'Reilly Book > "Graph Databases" is the definitive new guide to graph databases and their > applications. Written by three acclaimed leaders in the field, > this first edition is now available. 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