[Matplotlib-users] Using a picture as a legend label
A typical plot for me includes some simple line curves and a legend attempting to describe what apparatus that curve belongs to. Often the labels I give seem clear to me at the time, but even returning a month later to the plot, I'll be as lost as the next guy. A few of my colleagues have been plotting curves, and then including a picture or diagram in place of a typical legend label. The picture or diagram is bordered by the color of the trace on the plot. I am fairly certain the plots are done in Matlab. The diagrams are simply dropped into a powerpoint deck and given a border that is matched as close as possible to the trace. I did some things like that back in graduate school. Seems like it would be neat to have a way to do a legend in matplotlib that does something like this. I'm envisioning a regular axes with lines, scatter plots, etc. to the left and a column of graphics to the right. I would think this would be fairly doable using GridSpec or some of the similar layout. The place I could see getting hung up would be adding a color border to a picture that matches the trace and also doing the scaling to make it work all dynamically for different numbers of traces. -- This SF.net email is sponsored by Windows: Build for Windows Store. http://p.sf.net/sfu/windows-dev2dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Looking for a good color map that works both for color and bw
I prepared some plots for a conference paper using pcolormesh. The plots need to work both for color and for a bw print copy. Does anyone have a goto color map for that sort of occassion? I was using YlGrBu, but I'm just not happy with it. Thanks, Michael -- RSA(R) Conference 2012 Mar 27 - Feb 2 Save $400 by Jan. 27 Register now! http://p.sf.net/sfu/rsa-sfdev2dev2___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Issue with Redrawing a Line (numpy.ndarray, set_ydata, and draw)
I have a code that continuously modifies a numpy.ndarray variable. Then, I use set_ydata on the matplotlib.lines.Line2D object to the same ndarray variable. Then, I call fig.canvas.draw() to redraw the figure, where fig is Figure object. However, the line on the graph never changes. I print a few entries to the console to make sure that the variable is changing. It seems like the only way I can get the line to update is to create a completely new ndarray, update that variable with the new values and use set_ydata on my line object. Then, the redraw works. Other things that I tried that didn't seem to work were: L1.set_ydata(x[:]) L1.set_ydata(x.tolist()) L1.set_ydata(list(x)) where L1 is my line object, and x is my ndarray. To make it redraw I have to do something like this. xnew = numpy.zeros(numpy.size(x,0)) for k in range(numpy.size(x,0)): xnew[k] = x[k] L1.set_ydata(xnew) fig.canvas.draw() Is there some switch I can set to force a redraw of the elements? I feel like I am missing something fundamental. Thanks, Michael -- _ -- Beautiful is writing same markup. Internet Explorer 9 supports standards for HTML5, CSS3, SVG 1.1, ECMAScript5, and DOM L2 L3. Spend less time writing and rewriting code and more time creating great experiences on the web. Be a part of the beta today. http://p.sf.net/sfu/beautyoftheweb___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Issue with Redrawing a Line (numpy.ndarray, set_ydata, and draw)
I am running python 2.6.4 and matplotlib 0.99.1.1. I was using the TkAgg backend with my original problem, but I tried GTKAgg with the same result. Here are two sample codes. One works and the other does not. This one works ... plt.ion() x = np.arange(0,2*np.pi,0.01) y = np.sin(x) line, = plt.plot(x,y) for i in np.arange(1,200): y = np.sin(x + i/10.0) line.set_ydata(y) plt.draw() This one does not ... plt.ion() x = np.arange(0,2*np.pi,0.01) y = np.sin(x) line, = plt.plot(x,y) for i in np.arange(1,200): for k in range(len(x)): y[k] = np.sin(x[k] + i/10.0) line.set_ydata(y) plt.draw() The only real difference is that I do not get a new ndarray instance in the second one. My guess was that there was something to do with the object being the same instance as before causing some issue when I updated the ydata. On Wed, Oct 6, 2010 at 7:56 PM, Benjamin Root ben.r...@ou.edu wrote: On Wed, Oct 6, 2010 at 1:06 PM, Michael Cracraft michael.cracr...@gmail.com wrote: I have a code that continuously modifies a numpy.ndarray variable. Then, I use set_ydata on the matplotlib.lines.Line2D object to the same ndarray variable. Then, I call fig.canvas.draw() to redraw the figure, where fig is Figure object. However, the line on the graph never changes. I print a few entries to the console to make sure that the variable is changing. It seems like the only way I can get the line to update is to create a completely new ndarray, update that variable with the new values and use set_ydata on my line object. Then, the redraw works. Other things that I tried that didn't seem to work were: L1.set_ydata(x[:]) L1.set_ydata(x.tolist()) L1.set_ydata(list(x)) where L1 is my line object, and x is my ndarray. To make it redraw I have to do something like this. xnew = numpy.zeros(numpy.size(x,0)) for k in range(numpy.size(x,0)): xnew[k] = x[k] L1.set_ydata(xnew) fig.canvas.draw() Is there some switch I can set to force a redraw of the elements? I feel like I am missing something fundamental. Thanks, Michael Michael, Which version of matplotlib are you using? Which backend are you using? Also, could you include a small script or two that demonstrate the problem? This way, we can poke around with it and see what is up. Ben Root -- _ -- Beautiful is writing same markup. Internet Explorer 9 supports standards for HTML5, CSS3, SVG 1.1, ECMAScript5, and DOM L2 L3. Spend less time writing and rewriting code and more time creating great experiences on the web. Be a part of the beta today. http://p.sf.net/sfu/beautyoftheweb___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Issue with Redrawing a Line (numpy.ndarray, set_ydata, and draw)
You are correct about the version. I was just working with the version installed on Fedora 13, and the recache works. Looks like a working solution for now. Thanks, Michael On Wed, Oct 6, 2010 at 8:18 PM, Jae-Joon Lee lee.j.j...@gmail.com wrote: I believe that you're using older version of mpl (1.0) and this is a known issues, which has been fixed. http://sourceforge.net/tracker/?func=detailaid=2917758group_id=80706atid=560720 Try to add L1.recache() after set_ydata. Regards, -JJ On Thu, Oct 7, 2010 at 3:06 AM, Michael Cracraft michael.cracr...@gmail.com wrote: I have a code that continuously modifies a numpy.ndarray variable. Then, I use set_ydata on the matplotlib.lines.Line2D object to the same ndarray variable. Then, I call fig.canvas.draw() to redraw the figure, where fig is Figure object. However, the line on the graph never changes. I print a few entries to the console to make sure that the variable is changing. It seems like the only way I can get the line to update is to create a completely new ndarray, update that variable with the new values and use set_ydata on my line object. Then, the redraw works. Other things that I tried that didn't seem to work were: L1.set_ydata(x[:]) L1.set_ydata(x.tolist()) L1.set_ydata(list(x)) where L1 is my line object, and x is my ndarray. To make it redraw I have to do something like this. xnew = numpy.zeros(numpy.size(x,0)) for k in range(numpy.size(x,0)): xnew[k] = x[k] L1.set_ydata(xnew) fig.canvas.draw() Is there some switch I can set to force a redraw of the elements? I feel like I am missing something fundamental. Thanks, Michael -- _ -- Beautiful is writing same markup. Internet Explorer 9 supports standards for HTML5, CSS3, SVG 1.1, ECMAScript5, and DOM L2 L3. Spend less time writing and rewriting code and more time creating great experiences on the web. Be a part of the beta today. http://p.sf.net/sfu/beautyoftheweb ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- _ -- Beautiful is writing same markup. Internet Explorer 9 supports standards for HTML5, CSS3, SVG 1.1, ECMAScript5, and DOM L2 L3. Spend less time writing and rewriting code and more time creating great experiences on the web. Be a part of the beta today. http://p.sf.net/sfu/beautyoftheweb___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
