[Matplotlib-users] build matplotlib on OSX Lion
Hi all, Since I recently got a new machine with a fresh install of OSX Lion, I thought I'd share my building-from-source experience. There seems to be a variety of approaches for doing this that folks have offered up - including installing another Python, installing homebrew (and subsequent pkgs), etc. So I thought I'd add one more - and for all I know this is redundant info. My approach was the following: - use the Python that came with the system: Python 2.7.1 (r271:86832, Jun 16 2011, 16:59:05) [GCC 4.2.1 (Based on Apple Inc. build 5658) (LLVM build 2335.15.00)] on darwin - download matplotlib from git: git clone git://github.com/matplotlib/matplotlib.git cd matplotlib export CFLAGS='-I/usr/X11/include/freetype2 -I/usr/X11/include/libpng15' cd /usr/local/lib sudo ln -s /usr/X11/lib/libpng15.dylib libpng15.dylib sudo ln -s /usr/X11/lib/libfreetype.6.dylib libfreetype.dylib python setup.py build sudo python setup.py install -Randy -- uberSVN's rich system and user administration capabilities and model configuration take the hassle out of deploying and managing Subversion and the tools developers use with it. Learn more about uberSVN and get a free download at: http://p.sf.net/sfu/wandisco-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Fwd: build matplotlib on OSX Lion
A user just replied with some problems he had and made me realize that I'd forgotten that I manually installed a freetype2 lib (which made the earlier build recipe work). If I undo that manual freetype2 installation, then I *believe* the earlier recipe will work with the following change: export CFLAGS='-I/usr/X11/include -I/usr/X11/include/freetype2 -I/usr/X11/include/libpng15' -Randy Begin forwarded message: From: Randy Heiland heil...@indiana.edu Subject: build matplotlib on OSX Lion Date: August 9, 2011 4:45:31 PM EDT To: matplotlib-users@lists.sourceforge.net Hi all, Since I recently got a new machine with a fresh install of OSX Lion, I thought I'd share my building-from-source experience. There seems to be a variety of approaches for doing this that folks have offered up - including installing another Python, installing homebrew (and subsequent pkgs), etc. So I thought I'd add one more - and for all I know this is redundant info. My approach was the following: - use the Python that came with the system: Python 2.7.1 (r271:86832, Jun 16 2011, 16:59:05) [GCC 4.2.1 (Based on Apple Inc. build 5658) (LLVM build 2335.15.00)] on darwin - download matplotlib from git: git clone git://github.com/matplotlib/matplotlib.git cd matplotlib export CFLAGS='-I/usr/X11/include/freetype2 -I/usr/X11/include/libpng15' cd /usr/local/lib sudo ln -s /usr/X11/lib/libpng15.dylib libpng15.dylib sudo ln -s /usr/X11/lib/libfreetype.6.dylib libfreetype.dylib python setup.py build sudo python setup.py install -Randy -- uberSVN's rich system and user administration capabilities and model configuration take the hassle out of deploying and managing Subversion and the tools developers use with it. Learn more about uberSVN and get a free download at: http://p.sf.net/sfu/wandisco-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] dynamic image update
Can someone point me to the best way to dynamically update a 2D [image] array (think of cellular automata)? E.g., this simple example works, but gets sluggish after several iterations: import numpy as N import pylab as P nx = 20 ny = 20 c = N.zeros(nx*ny, dtype='int8') c.resize(ny,nx) iters = 50 for its in range(iters): ix0 = N.random.rand()*nx iy0 = N.random.rand()*ny c[iy0,ix0] = 1 P.imshow(c,interpolation='nearest') P.draw() I'm guessing I'll want to use the mpl's API, but unsure of the best approach. I'm currently using mpl 0.98.5. thanks, Randy -- Crystal Reports - New Free Runtime and 30 Day Trial Check out the new simplified licensing option that enables unlimited royalty-free distribution of the report engine for externally facing server and web deployment. http://p.sf.net/sfu/businessobjects ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
