Re: [Matplotlib-users] sensible tick labels for log scale?

[Paul I. <piv...@gm...>]

Christopher Fonnesbeck, on 2011-01-12 20:12,  wrote:
> I'm wondering if there is a way of automating tick labeling on
> log-scale axes, so that labels do not overlap. Specifically,
> when the values get large, they overlap which makes the labels
> unreadable. I would expect them to automatically get more
> sparse with the axis value, as they do when you generate such
> plots in R, for example.

Hi Christopher,

can you provide a small code example that demonstrates the
problem you're having?

The ticks get placed by a ticklocator. You can change the number
of ticks that get placed by setting the appropriate locators
numticks parameter.

In [50]: plt.loglog(1,1)
Out[50]: [<matplotlib.lines.Line2D object at 0x108dde4c>]

In [51]: ax = plt.gca()

In [52]: loc = ax.xaxis.get_major_locator()

In [53]: loc.numticks
Out[53]: 15

In [54]: loc.numticks = 10


IIRC, the variable name changes slightly from locator to locator,
but you can quickly figure it out in ipython using tab completion
in IPython once you grab a given locator object. 

best,
-- 
Paul Ivanov
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