Hi, I posted this to stackoverflow (http://stackoverflow.com/questions/3190798/scale-legend-box-border-dashed-and-dotted-lines-when-the-figure-size-is-changed), but didn't get any answer, so here goes again:
I'm trying to use matplotlib to prepare some figures for publication. In order to make the font sizes match the text of the manuscript I'm trying to create the figure in the final size to begin with, so that I avoid scaling the figure when inserting it into the manuscript. The problem I'm having is that as the figure is then pretty small, I can scale font sizes, axis sizes, line widths etc., but what I've been unable to figure out is how to scale dashed or dotted lines, as well as the thickness of the legend border box. For a simplified and somewhat exaggerated example, consider #!/usr/bin/python small = True from matplotlib import use use('pdf') from matplotlib import rc rc('ps', usedistiller='xpdf') rc('text', usetex=True) if small: figsize = (1.0, 0.5) rc('font', size=2) rc('axes', labelsize=2, linewidth=0.2) rc('legend', fontsize=2, handlelength=10) rc('xtick', labelsize=2) rc('ytick', labelsize=2) rc('lines', lw=0.2, mew=0.2) rc('grid', linewidth=0.2) else: figsize = (8,8) import numpy as np x = np.arange(0, 10, 0.001) y = np.sin(x) import matplotlib.pyplot as plt f = plt.figure(figsize=figsize) a = f.add_subplot(111) a.plot(x, y, '--', label='foo bar') a.legend() f.savefig('mplt.pdf') If you change the first executable line to small = False you can see how it should look in "normal" size. Compared to the normal size, the small plot suffers from a legend box with too thick borders, and the dashed line is too coarse, i.e. too long dashes and too long distance between the dashes. So my question is, is there a way to fix these two problems? The matplotlib version I'm using is 0.99.1.2 on ubuntu 10.04 amd64. -- Janne Blomqvist ------------------------------------------------------------------------------ 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 Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users