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I should first note that the way to do animations in matplotlib will probably be improved soon, the current methods should still be valid. Ok, the way how I understand how blitting works is that a copy of the static background is made before any of the "sprites" are drawn. That static background is then redrawn at each frame to avoid having to do a complete re-render of it. So, if you can display a particular image to a plot before calling copy_from_bbox(), but after the canvas.draw() call, then the animation should work as you would like with blitting, and you won't need to repeat the function call to plot the background in the animation. Note, I have not tried this, so please let us know how this works for you. Ben Root On Mon, Jul 5, 2010 at 5:45 AM, German Ocampo <ger...@gm...> wrote: > Good morning > > I have a question regarding to animation in matplotlib using Blit.How > can I modify the example animation_blit_qt4.py that is in the > matplotlib website, in order to animate data, but instead of a white > background I want to have an image (tif or jpg)? > > Many thanks for your help > > German > > > ------------------------------------------------------------------------------ > This SF.net email is sponsored by Sprint > What will you do first with EVO, the first 4G phone? > Visit sprint.com/first -- http://p.sf.net/sfu/sprint-com-first > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users >
Good morning I have a question regarding to animation in matplotlib using Blit.How can I modify the example animation_blit_qt4.py that is in the matplotlib website, in order to animate data, but instead of a white background I want to have an image (tif or jpg)? Many thanks for your help German
Hi, I am having trouble installing matplotlib. I have OS X 10.5 with Python 2.6 downloaded and installed from python.org. (10.5 came with Apple Python 2.5). I've also installed NumPy and SciPy for Python 2.6. I've tried EasyInstall, svn, and dmg. The dmg expects Apple Python 2.6 so that's out. For the EasyInstall and svn routes I think I must be missing some external libraries? Below are some snippets of warnings/error messages: from EasyInstall: $ easy_install matplotlib matplotlib: 0.99.3 warning: no files found matching 'MANIFEST' warning: no files found matching 'lib/mpl_toolkits' ld warning: in /opt/local/lib/libfreetype.dylib, file is not of required architecture ld warning: in /opt/local/lib/libz.dylib, file is not of required architecture ld warning: in /opt/local/lib/libfreetype.dylib, file is not of required architecture ld warning: in /opt/local/lib/libz.dylib, file is not of required architecture ld warning: in /opt/local/lib/libpng12.dylib, file is not of required architecture ld warning: in /opt/local/lib/libz.dylib, file is not of required architecture ld warning: in /opt/local/lib/libfreetype.dylib, file is not of required architecture ld warning: in /opt/local/lib/libz.dylib, file is not of required architecture ld: in /opt/local/lib/libxml2.2.dylib, file is not of required architecture for architecture ppc collect2: ld returned 1 exit status ld warning: duplicate dylib /opt/local/lib/libz.1.dylib lipo: can't open input file: /var/folders/Yh/Yh3On1j+FXW+r-334Wk-vk+++TI/-Tmp-//ccWD9nm4.out (No such file or directory) error: Setup script exited with error: command 'c++' failed with exit status 1 from SVN: $ python setup.py build matplotlib: 1.0.svn ld warning: in /opt/local/lib/libfreetype.dylib, file is not of required architecture ld warning: in /opt/local/lib/libz.dylib, file is not of required architecture ld: in /opt/local/lib/libxml2.2.dylib, file is not of required architecture for architecture ppc collect2: ld returned 1 exit status ld warning: duplicate dylib /opt/local/lib/libz.1.dylib lipo: can't open input file: /var/folders/Yh/Yh3On1j+FXW+r-334Wk-vk+++TI/-Tmp-//cc6cv190.out (No such file or directory) error: command 'c++' failed with exit status 1 and in both throughout the messages there are references to "linker input file unused because linking not done" for powerpc-apple-darwin9-gcc-4.0.1 and i686-apple-darwin9-gcc-4.0.1. I'd tried the EPD version also (and had it working), but then EasyInstall would direct me to their repositories (for which I did not have a password) so I could not download and install RPy2 and other modules (easily), so I decided to build up from individual components... Any advice you can provide on helping me complete the matplotlib installation? I think after this I will have the basics for data analysis in Python (with NumPy and SciPy). Thanks! Stephen _________________________________________________________________ The New Busy is not the too busy. Combine all your e-mail accounts with Hotmail. http://www.windowslive.com/campaign/thenewbusy?tile=multiaccount&ocid=PID28326::T:WLMTAGL:ON:WL:en-US:WM_HMP:042010_4
Jeremy, The pcolor function can take a vmin and a vmax parameter if you wish to control the colorscaling. In addition, you can use a special array structure called a "masked array" to have pcolor ignore "special" values. Assuming your data is 'vals': vals_masked = numpy.ma.masked_array(vals, vals == 0.0) Note that depending on your situation, doing an equality with with a floating point value probably isn't very reliable, so be sure to test and modify to suit your needs. 'vals_masked' can then be passed to pcolor instead of vals. I hope this helps, Ben Root On Wed, Jun 30, 2010 at 9:39 AM, Jeremy Conlin <jlc...@gm...> wrote: > I am trying to plot some data over a mesh using the plot_surface > method. However when I plot my data, everything is the same color > when I expected to get a nice rainbow of colors as in the example: > http://matplotlib.sourceforge.net/examples/mplot3d/surface3d_demo.html > > I have attached a simple script to show what I did as well as the > result. Essentially, I just copied the above demo, but put my own > data in. I think the problem arises because I have "holes" in my > data, or areas where the data is zero. These zeros throw the scaling > off so I tried to eliminate their effect, but this messed everything > up. > > Essentially my question is: how can I get a nice color distribution > while at the same time avoid the extreme scaling issues associated > with some data being zero (while all the other data is ~16)? > > Thanks, > Jeremy > > > ------------------------------------------------------------------------------ > This SF.net email is sponsored by Sprint > What will you do first with EVO, the first 4G phone? > Visit sprint.com/first -- http://p.sf.net/sfu/sprint-com-first > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > >