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From: Thomas C. <tca...@gm...> - 2015-01-23 18:42:11
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Have you looked at using the mpl tables? http://matplotlib.org/examples/pylab_examples/table_demo.html Tom On Fri Jan 23 2015 at 1:15:09 PM Arnaldo Russo <arn...@gm...> wrote: > Hi, > > I'm dealing with this issue but no clues I have found! > When I use simple matplotlib engine, my plot does not render the correct > font (which I have set to Arial) but it renders the \hline and specif > spaces in the table inserted inside the figure area [Fig 1] > <http://imgur.com/J1A01h5>. > > In the second try, using Xelatex engine (made possible by mpl.use('pgf') > ), I get correct Arial font but my table inside becomes a mess [Fig 2] > <http://imgur.com/4TckUyb>. > > Does anyone knows what is the difference between the two codes [Code] > <https://gist.github.com/arnaldorusso/e542b04245560300d4f7>, and how > should I get a figure with Arial font and a table inside the figure area? > > It's strange when I have to deal with latex codes and matplotlib... In a > simple plot (whitout LaTeX elements) I'd have set simply: font.family: > ["sans-serif"] and font.sans-serif: ["Arial"]. > > Is there a way to include tables inside a figure with another approach > (e.g. whithout using LaTeX)? > > At least but not less important: The figures in their different part of > the [Code] <https://gist.github.com/arnaldorusso/e542b04245560300d4f7>, > must be executed in different session. If I run everything in a simple > console, I really dont know which parameter is maintained, but Arial is not > used (in the second plot). > > > [Fig 1] http://imgur.com/J1A01h5 > [Fig 2] http://imgur.com/4TckUyb > [Code] https://gist.github.com/arnaldorusso/e542b04245560300d4f7 > > Thank you all! > > Cheers, > Arnaldo. > > ------------------------------------------------------------ > ------------------ > New Year. New Location. New Benefits. New Data Center in Ashburn, VA. > GigeNET is offering a free month of service with a new server in Ashburn. > Choose from 2 high performing configs, both with 100TB of bandwidth. > Higher redundancy.Lower latency.Increased capacity.Completely compliant. > http://p.sf.net/sfu/gigenet_______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > |