On 02/23/2012 10:46 AM, Jeff Klukas wrote: > Hello all, > > I would like to make small figures (about 3" wide) so that they are > exactly the right size for a LaTeX document I am preparing. This should > be straightforward, but I fear I am running into inherent limitations in > the matplotlib design. > > The particular problem is that the dash spacing for dashed lines seems > to be fixed to a certain number of points. This looks fine for default > figure sizes, but in a small figure, the dash length becomes comparable > to the width of histogram bars I'm producing, so the output just looks > like a series of unrelated scribbles rather than a coherent histogram. > > I've produced a short program below which gives a minimal demonstration > of the problem. > > Is there some way to change the length of dashes? > > Currently, I am hacking together a solution which involves making large > figures with huge font sizes, but I would much rather be able to match > font sizes exactly by making the figure the right size in the first place. > > Many thanks, > Jeff > > || Jeff Klukas, Physics > || University of Wisconsin > || http://jeff.klukas.net > > ------------------------------------- > import matplotlib.pyplot as plt > > fig = plt.figure(figsize=(6,4)) line, = plt.plot(range(20), range(20), linestyle='steps--') line.set_dashes((3,2)) # or whatever on/off sequence in points you want
Eric > plt.savefig('dashdemo') > > fig = plt.figure(figsize=(3,2)) > plt.plot(range(20), range(20), linestyle='steps--') > plt.savefig('dashdemosmall') > > > > ------------------------------------------------------------------------------ > Virtualization& Cloud Management Using Capacity Planning > Cloud computing makes use of virtualization - but cloud computing > also focuses on allowing computing to be delivered as a service. > http://www.accelacomm.com/jaw/sfnl/114/51521223/ > > > > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users ------------------------------------------------------------------------------ Virtualization & Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users