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Ryan May wrote: > Has anyone tried making an > OpenGL backend? If not, can anyone think of any reason why it couldn't > be done, maybe using wx's GLCanvas? I don't know enough about OpenGL, but I wonder if it would really help much, as much of the scaling, etc, it happening in MPL code anyway. It could be great for future stuff with more 3-d though. VTK is worth a look for you, as well. -Chris -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/OR&R (206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception Chr...@no...
2007年4月27日, John Hunter <jd...@gm...>: > > On 4/27/07, darkside <in....@gm...> wrote: > > hi everyone, > > I'm trying to solve a lineal differential equation system, and I,m > proving > > with the mlab.rk4 function. > > The problem I've found is that if the solution if a complex number, I > can't > > use this functin, because it doesn't accept complex number, and I can > only > > get the real case. > > > > Have anyone treat with this problem? > > What do you use to solve differential equation systems? > > > rk4 was something I wrote long ago to have a simple ODE integrator in > case scipy wasn't installed on my system. You should be using the > scipy.integrate tools Thank you very much!!! I used scipy.integrate tools, splitting complex and real part of the equations, and it worked so good!! I tried to use: In addition I have filed a ticket for a complex ODE solver. http://projects.scipy.org/scipy/scipy/ticket/334 But I haven't been able to compile it. It returns a lot of errors when I tried. I suposse that it's because of the fortran compiler, but I don't know.
Hi, I'm looking into using matplotlib as the backend for doing visualization for my dissertation work. This would replace some existing Qt/OpenGL code I've written (but isn't too extensible) for 2D plots of weather radar data (think pcolor style plots). I've been using matplotlib for awhile for other projects, and love it, but it has the drawback that it's interactive graphics are not all that quick (especially pcolor). (Note: I know imshow is faster, but my data are on a polar grid.) I've been spoiled by the speed of OpenGL graphics and the ease of interactive data analysis, so I just can't go back. Has anyone tried making an OpenGL backend? If not, can anyone think of any reason why it couldn't be done, maybe using wx's GLCanvas? Any comments, or starting points on where I could see how to go about this would be _greatly_ appreciated. Thanks, Ryan -- Ryan May Graduate Research Assistant School of Meteorology University of Oklahoma
Hello Andrew, On Friday 27 April 2007 18:33, Andrew Straw wrote: > It hasn't changed since rev 3131: > > $ svn info __init__.py | grep 'Rev' > Revision: 3257 > Last Changed Rev: 3131 Thanks for you advice. I asked because I thought that this __revision__ is the matplotlib.__revison__ that I get e.g. in IPython. That's why I thought it should be the revision of the whole project. Just a remark - you can forget about it. best regards, Matthias > Matthias Michler wrote: > > Hi devolopers, > > > > one small remark about the mpl svn. I recognized, that in the > > file ./lib/matplotlib/__init__.py the actual revision is: > > __revision__ = '$Revision: 3131 $' > > and the svn info tells "Revision: 3257". > > > > best regards, > > Matthias > > > > ------------------------------------------------------------------------- > > This SF.net email is sponsored by DB2 Express > > Download DB2 Express C - the FREE version of DB2 express and take > > control of your XML. No limits. Just data. Click to get it now. > > http://sourceforge.net/powerbar/db2/ > > _______________________________________________ > > Matplotlib-users mailing list > > Mat...@li... > > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
It hasn't changed since rev 3131: $ svn info __init__.py | grep 'Rev' Revision: 3257 Last Changed Rev: 3131 Matthias Michler wrote: > Hi devolopers, > > one small remark about the mpl svn. I recognized, that in the > file ./lib/matplotlib/__init__.py the actual revision is: > __revision__ = '$Revision: 3131 $' > and the svn info tells "Revision: 3257". > > best regards, > Matthias > > ------------------------------------------------------------------------- > This SF.net email is sponsored by DB2 Express > Download DB2 Express C - the FREE version of DB2 express and take > control of your XML. No limits. Just data. Click to get it now. > http://sourceforge.net/powerbar/db2/ > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users >
Hi devolopers, one small remark about the mpl svn. I recognized, that in the file ./lib/matplotlib/__init__.py the actual revision is: __revision__ = '$Revision: 3131 $' and the svn info tells "Revision: 3257". best regards, Matthias
Hi everybody, I use key_press_event's to handle my program. Therefore I want to skip the matplotlib usage of some keys e.g. 'f', 'g' and 'l'. I didn't find the right method to turn the usage off. Can anybody help me? Could this method be useful for buttons and sliders from widgets.py, too? Because one don't want to scale or set grid upon these widgets, isn't it? best regards and thanks in advance for any hints, Matthias
On 4/27/07, darkside <in....@gm...> wrote: > hi everyone, > I'm trying to solve a lineal differential equation system, and I,m proving > with the mlab.rk4 function. > The problem I've found is that if the solution if a complex number, I can't > use this functin, because it doesn't accept complex number, and I can only > get the real case. > > Have anyone treat with this problem? > What do you use to solve differential equation systems? rk4 was something I wrote long ago to have a simple ODE integrator in case scipy wasn't installed on my system. You should be using the scipy.integrate tools
hi everyone, I'm trying to solve a lineal differential equation system, and I,m proving with the mlab.rk4 function. The problem I've found is that if the solution if a complex number, I can't use this functin, because it doesn't accept complex number, and I can only get the real case. Have anyone treat with this problem? What do you use to solve differential equation systems?
On 4/26/07, James Boyle <bo...@ll...> wrote: > What is the easiest way to put a label on the color bar. I am > thinking of putting units either below or next to the bar. > I do not see this in the examples or wiki. > My first guess is to get hold of the axis for the colorbar and put a > label using this - but this seems a bit roundabout. colorbar returns a matplotlib.colorbar.Colorbar instance. This has an Axes attribute attached as "ax", eg cb = fig.colorbar(...) cb.ax.set_xlabel('etc') but you should look at the class methods available in the Colorbar class proper. Eg, Colorbar.set_label will set either the xlabel or the ylabel depending on the orientation. JDH