Hi Brandon,
I notice that this is cross-posted on StackOverflow (
http://stackoverflow.com/questions/13132194/type-1-fonts-with-log-graphs).
Personally, I have no problem with cross posting, but to save two people
having to answer the same question, I would make sure it was explicit that
this had also been posted elsewhere.
Thanks,
Phil
On 30 October 2012 03:13, Brandon Heller <brand...@stanford.edu> wrote:
> Hi,
>
> I'm trying to use Matplotlib graphs as part of a camera-ready
> submission, and the publishing house requires the use of Type 1 fonts
> only.
>
> I'm finding that the PDF backend happily outputs Type-1 fonts for
> simple graphs with linear Y axes, but outputs Type-3 fonts for
> logarithmic Y axes.
>
> Using a logarithmic yscale incurs the use of mathtext, which seems to
> use Type 3 fonts, presumably because of the default use of exponential
> notation. I can use an ugly hack to get around this - using
> pyplot.yticks() to force the axis ticks to not use exponents - but
> this would require moving the plot region to accommodate large labels
> (like 10 ^ 6) or writing the axes as 10, 100, 1K, etc. so they fit.
>
> There's a minimum working example below, which I've tested with the
> matplotlib master branch as of today, as well as 1.1.1, which produces
> the same behavior, so I don't know that this is a bug, probably just
> unexpected behavior.
>
>
> #!/usr/bin/env python
> # Simple program to test for type 1 fonts.
> # Generate a line graph w/linear and log Y axes.
>
> from matplotlib import rc, rcParams
>
> #rc('font',**{'family':'sans-serif','sans-serif':['Helvetica']})
>
> # These lines are needed to get type-1 results:
> #
> http://nerdjusttyped.blogspot.com/2010/07/type-1-fonts-and-matplotlib-figures.html
> rcParams['ps.useafm'] = True
> rcParams['pdf.use14corefonts'] = True
> rcParams['text.usetex'] = False
>
> import matplotlib.pyplot as plt
>
> YSCALES = ['linear', 'log']
>
> def plot(filename, yscale):
> plt.figure(1)
> xvals = range(1, 2)
> yvals = xvals
> plt.plot(xvals, yvals)
> plt.yscale(yscale)
> #YTICKS = [1, 10]
> #plt.yticks(YTICKS, YTICKS) # locs, labels
> ax = plt.gca()
> #print ax.get_xticklabels()[0].get_text()
> print ",".join([a.get_label() for a in ax.get_yticklabels()])
> plt.savefig(filename + '.pdf')
>
>
> if __name__ == '__main__':
> for yscale in YSCALES:
> plot('linegraph-' + yscale, yscale)
>
>
>
> Does anyone know a clean way to get Type 1 fonts with log axes?
>
> Thanks,
> Brandon
>
>
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