On Tue, Oct 30, 2012 at 5:51 AM, Michael Droettboom <md...@stsci.edu> wrote:
> There are a couple of alternative formatters for log scaling that don't
> require mathtext.
>
> You can do:
>
> from matplotlib.tickers import LogFormatter, LogFormatterExponent
> ...
> ax.xaxis.set_major_formatter(LogFormatter())
> # or LogFormatterExponent(), which is just the exponent
>
>
To clarify the font issue. The PDF backend has no support for outputting
> Type 1 fonts. There is an rcParam "pdf.fonttype" that allows you to choose
> between Type 3 and Type 42 fonts, however. Type 3 stores each character as
> a path and then uses those to put strings together. It supports font
> subsetting, so an entire large font is not embedded in the file. Type 42
> (essentially) just embeds a TrueType font in the file, and we don't support
> subsetting there.
>
> There is also the "pdf.use14corefonts" that will use the 14 built-in PDF
> fonts whenever possible (and therefore not embed any fonts). However,
> mathtext requires a special font for the math symbols, and thus it starts
> to embed fonts.
>
> You may try setting "mathtext.default" to "regular", which will use the
> font used as the default for the rest of the text first. This should have
> the effect of not embedding any extra fonts in the file as long as you
> don't use any special symbols in the math.
>
Hi Mike,
Thanks for the suggestions - I tried both. The first (use a LogFormatter)
yields only Type 1 but doesn't look look as good as exponential notation
(my style preference). The second (mathtext.default = regular) defaulted
to CMR and kept the exponents as Type 1, but not the helvetica used by the
rest of the graph. It used CMR even when I had set another font as the
default:
rc('font',**{'family':'sans-serif','sans-serif':['Helvetica']})
... so maybe I'm not setting the default properly. Any ideas there?
A suggestion from my colleague Vimal Kumar was to post-process the output
to replace Type3 w/Type 1:
sed -i.bak \
-e "s/Type3/Type1/g" \
-e "s/BitstreamVeraSans-Roman/Helvetica/g" \
-e "s/DejaVuSans/Helvetica/g" \
$file
This has the advantage that no mattext or tex is required, though I have to
assume the letter spacing is meant for the original font. In practice, the
only replaced fonts are on the Y axis, so even if the spacing between
letters seems a bit bigger, I don't think this is a huge issue. Of course,
it would still be nice to solve this problem in MPL itself, though.
Thanks,
Brandon
>
> Mike
>
>
> On 10/30/2012 05:23 AM, Phil Elson wrote:
>
> 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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