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 314 address only used for lists, off-list direct email at: http://pirsquared.org | GPG/PGP key id: 0x0F3E28F7
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