Re: [Matplotlib-users] sensible tick labels for log scale (rephrased)

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

Chris Fonnesbeck, on 2011-01-13 14:07,  wrote:
> I was hoping (and still hope) that Matplotlib is able to choose
> reasonable ticks on the log scale that do not overlap, but are
> more informative than just powers of 10.

Chris,

Sorry, I'm no expert with the locators, I rarely find myself
needing to mess with them. The cleaner way to get something other
than decades is to specify basex and basey. To do this for a plot
already created, you'll need to set the base of the LogLocator
and LogFormatter of your minor and major axes, like:

  fmat = plt.gca().xaxis.get_major_formatter()
  fmat.base(2)
  loc = plt.gca().xaxis.get_major_locator()
  loc.base(2)

I'm afraid I'm quite out of my element with these guys, maybe
someone else chimes in with another approach. Do post again to
clarify what you want.

Note that by default, the minor_formatter is set to be a
NullFormatter, thus no labels will be placed at the minor tick
locations. That would be a reasonable way to proceed - set the
major ticks to be non-overlapping, and put the minor ones
everywhere else.

You've probably already found it, but just in case:
http://matplotlib.sourceforge.net/api/ticker_api.html

-- 
Paul Ivanov
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