Re: [Matplotlib-users] Type 1 fonts with log graphs

[Michael D. <md...@st...>]

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.

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 <bra...@st... 
> <mailto:bra...@st...>> 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
>
>     ------------------------------------------------------------------------------
>     Everyone hates slow websites. So do we.
>     Make your web apps faster with AppDynamics
>     Download AppDynamics Lite for free today:
>     http://p.sf.net/sfu/appdyn_sfd2d_oct
>     _______________________________________________
>     Matplotlib-users mailing list
>     Mat...@li...
>     <mailto:Mat...@li...>
>     https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
>
>
> ------------------------------------------------------------------------------
> Everyone hates slow websites. So do we.
> Make your web apps faster with AppDynamics
> Download AppDynamics Lite for free today:
> http://p.sf.net/sfu/appdyn_sfd2d_oct
>
>
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users