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')
>
>
>
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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/
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