matplotlib-users Mailing List for matplotlib

Hi,
I'm trying to use a custom font that is set dynamically at runtime, if available. (I don't want this font to be the default in the config file.) But matplotlib keeps defaulting to the generic sans-serif font if I include that as an option later in the font family list.
In the process of troubleshooting, I found there was a commit which already addressed this issue (https://github.com/matplotlib/matplotlib/commit/314a0cf), although unfortunately it didn't solve it in my particular case, when the font being scored is first in the rcParams font alias list.
Seems like it could be an easy fix for someone familiar with the scoring algorithm. I don't see quite what the expected scores *should* be (the docstring for that function looks to be out of sync) but it shouldn't be 0 for default fonts not explicitly named first in the family list. I'll put this in the bug tracker and try to workaround for now.
Thanks,
cw

Your code example is incomplete. Even if I add in the typical imports and
"fig, ax = plt.subplots()" and "plt.show()", The x tick labels aren't
rotated, and I certainly don't have too many tick labels. Could you provide
a complete working example that demonstrate the problem?
Ben Root
On Wed, Jul 8, 2015 at 9:15 AM, manik971 <nec...@ho...> wrote:
> <code>
> date_range = (735599.0, 735745.0)
> x = (735610.5, 735647.0, 735647.5, 735648.5, 735669.0, 735699.0, 735701.5,
> 735702.5, 735709.5, 735725.5, 735728.5, 735735.5, 735736.0)
> y = (227891.25361545716, 205090.4880046467, 208352.59317388065,
> 175462.99296699322, 98209.836461969651, 275063.37219361769,
> 219456.93600708069, 230731.12613806152, 209043.19805037521,
> 218297.51486296533, 208036.88967207001, 206311.71988471842,
> 216036.56824433553)
> y0 = 218206.79192
> x_after = (735610.5, 735647.0, 735647.5, 735701.5, 735702.5, 735709.5,
> 735725.5, 735728.5, 735735.5, 735736.0)
> y_after = (227891.25361545716, 205090.4880046467, 208352.59317388065,
> 219456.93600708069, 230731.12613806152, 209043.19805037521,
> 218297.51486296533, 208036.88967207001, 206311.71988471842,
> 216036.56824433553)
> ax.plot_date(x, numpy.array(y) / y0, color='r', xdate=True, marker='x')
> linex = -39.1175584541
> liney = 28993493.5251
>
> ax.set_xlim(date_range)
> steps = list(ax.get_xlim())
> steps.append(steps[-1] + 2)
> steps = [steps[0] - 2] + steps
> ax.plot(steps, numpy.array([linex * a + liney for a in steps]) / y0,
> color='b')
> </code>
>
>
>
> --
> View this message in context:
> http://matplotlib.1069221.n5.nabble.com/Plot-Too-many-ticks-on-X-axe-tp45893p45894.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
>
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<code>
date_range = (735599.0, 735745.0)
x = (735610.5, 735647.0, 735647.5, 735648.5, 735669.0, 735699.0, 735701.5,
735702.5, 735709.5, 735725.5, 735728.5, 735735.5, 735736.0)
y = (227891.25361545716, 205090.4880046467, 208352.59317388065,
175462.99296699322, 98209.836461969651, 275063.37219361769,
219456.93600708069, 230731.12613806152, 209043.19805037521,
218297.51486296533, 208036.88967207001, 206311.71988471842,
216036.56824433553)
y0 = 218206.79192
x_after = (735610.5, 735647.0, 735647.5, 735701.5, 735702.5, 735709.5,
735725.5, 735728.5, 735735.5, 735736.0)
y_after = (227891.25361545716, 205090.4880046467, 208352.59317388065,
219456.93600708069, 230731.12613806152, 209043.19805037521,
218297.51486296533, 208036.88967207001, 206311.71988471842,
216036.56824433553)
ax.plot_date(x, numpy.array(y) / y0, color='r', xdate=True, marker='x')
linex = -39.1175584541
liney = 28993493.5251
ax.set_xlim(date_range)
steps = list(ax.get_xlim())
steps.append(steps[-1] + 2)
steps = [steps[0] - 2] + steps
ax.plot(steps, numpy.array([linex * a + liney for a in steps]) / y0,
color='b')
</code>
--
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Hello,
The first loaded plot have too many ticks on X axe (see image01).
<http://matplotlib.1069221.n5.nabble.com/file/n45893/help-01.jpg> 
If I use the zoom action on X axe, the plot is now well loaded.
<http://matplotlib.1069221.n5.nabble.com/file/n45893/help-02.jpg> 
Can you give me some advise where I can search because The Plot constructor
parameters seems good.
Thank you for your help.
Manuel
--
View this message in context: http://matplotlib.1069221.n5.nabble.com/Plot-Too-many-ticks-on-X-axe-tp45893.html
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