Re: [Matplotlib-users] latex rendering weirdness

2009-05-05 Thread Willi Richert
e matplotlib version via: > print matplotlib.get_backend() > print matplotlib.__version__ > > On Monday 04 May 2009 17:20:51 Willi Richert wrote: > > Hi, > > > > why is $\sum M_\theta$ ren

[Matplotlib-users] latex rendering weirdness

2009-05-04 Thread Willi Richert
Hi, why is $\sum M_\theta$ rendered correctly, but $M_\theta$" is printed as "_\theta$"? Regards, wr -- Register Now & Save for Velocity, the Web Performance & Operations Conference from O'Reilly Media. Velocity feature

Re: [Matplotlib-users] bounding box again

2009-01-26 Thread Willi Richert
Hi, in my version 0.98.5 frameon=False (as a subplot argument) just omits the black lines at the x and y axes. The huge white rectangle is still plotted. wr Am Montag, 26. Januar 2009 16:20:10 schrieb Jouni K. Seppänen: > Willi Richert writes: > > Isn't there a convenient way ju

[Matplotlib-users] bounding box again

2009-01-26 Thread Willi Richert
Hi, lots of user requests mentioned the problem of a too big bounding box in saved figures. Some even provided patches to the svn (http://www.nabble.com/savefig- with-tight-bounding-box.-td21515002.html). To date there is no way of automatically getting a figure plotted so tightly that it could

[Matplotlib-users] load and comments #2

2006-11-15 Thread Willi Richert
Hi, if I use comments and the last character in the file is not space or \n then the last value is not returned by mlab.py's load method, due to a bug in the comment stripping (index returns -1 if no comment is found). If the for loop is changed to the following, it works again: for i,line in

Re: [Matplotlib-users] set_ylim() does not work with twinx()-axes

2006-10-24 Thread Willi Richert
Hi, even with the newest version the problem remains, unless I put the set_ylim() command _after_ plot(). Why? Am Samstag, 21. Oktober 2006 20:30 schrieb Eric Firing: > Willi Richert wrote: > > Am Freitag, 20. Oktober 2006 17:31 schrieb John Hunter: > >> from pylab impo

Re: [Matplotlib-users] set_ylim() does not work with twinx()-axes

2006-10-23 Thread Willi Richert
03.253): icmp_seq=1 ttl=41 time=169 ms Am Montag, 23. Oktober 2006 13:18 schrieb Sven Schreiber: > Willi Richert schrieb: > > Am Samstag, 21. Oktober 2006 20:30 schrieb Eric Firing: > >>> matplotlib.__version__ == 0.82 > >> > >> There is the problem: you n

Re: [Matplotlib-users] set_ylim() does not work with twinx()-axes

2006-10-23 Thread Willi Richert
Am Samstag, 21. Oktober 2006 20:30 schrieb Eric Firing: > > > > matplotlib.__version__ == 0.82 > > There is the problem: you need to update your matplotlib. > > Eric Thanks. Unfortunately, I've not yet found a more recent ubuntu/dapper repo for matplotlib. Any experience with installing the ubunt

Re: [Matplotlib-users] set_ylim() does not work with twinx()-axes

2006-10-21 Thread Willi Richert
Am Freitag, 20. Oktober 2006 17:31 schrieb John Hunter: > from pylab import * > > ax1 = subplot(111) > t = arange(0.01, 10.0, 0.01) > s1 = exp(t) > plot(t, s1, 'b-') > xlabel('time (s)') > ylabel('exp') > > > # turn off the 2nd axes rectangle with frameon kwarg > ax2 = twinx() > s2 = sin(2*pi*t) >

[Matplotlib-users] set_ylim() does not work with twinx()-axes

2006-10-20 Thread Willi Richert
Hi, I am plotting two graphs in one according to http://matplotlib.sourceforge.net/examples/two_scales.py I want the plot belonging to the right axis to start with y=0. However, ax2.set_ylim(ymin=0.0) does not affect the plot at all. Any hints? Regards, wr --

[Matplotlib-users] yaxis scale

2006-06-23 Thread Willi Richert
Hi, If I'm plotting y-values >1000 then I get "x1e4" at the top of the diagram and the yticks become 0.xxx. I rather want to have the real numbers (not in the scientific format). Is that difficult to achieve? Thanks, wr Using Tomcat but need to do more? Need to support web services, security?

[Matplotlib-users] Confidence Interval

2006-06-03 Thread Willi Richert
Hi, is there a way to display confidence intervals other than using Polygon like, e.g. ax = subplot(111) # make the shaded region upperPoints = zip(runs, upperConf) upperPoints.reverse() verts = [(runs[0], upperConf[0])] + zip(runs, lowerConf) + upperPoints poly = Polygon(verts, facecolor=0.6, e