On Sun, Mar 11, 2012 at 2:06 PM, Mike Kaufman <mck...@gmail.com> wrote:
> On 3/11/12 8:14 AM, cgraves wrote:
>
>>
>> Hi, here is an example script which places minor ticks with 2 per major
>> tick
>> (minor tick spacing is "fractional" of major tick spacing with relative
>> interval of 1/2):
>>
>> from pylab import *
>> fig=figure()
>> ax=subplot(111)
>> ax.autoscale(tight=True)
>> plot([1,2,4],[1,2,3])
>> x_ticks_maj_spacing =
>> float(abs(ax.xaxis.get_**ticklocs()[0]-ax.xaxis.get_**ticklocs()[1]))
>> x_ticks_min_spacing = x_ticks_maj_spacing/2
>> ax.xaxis.set_minor_locator(**MultipleLocator(x_ticks_min_**spacing))
>> y_ticks_maj_spacing =
>> float(abs(ax.yaxis.get_**ticklocs()[0]-ax.yaxis.get_**ticklocs()[1]))
>> y_ticks_min_spacing = y_ticks_maj_spacing/2
>> ax.yaxis.set_minor_locator(**MultipleLocator(y_ticks_min_**spacing))
>> show()
>>
>> This works fine. However, if one changes the axes limits then the major
>> ticks get automatically adjusted to a different interval but the minor
>> ticks
>> remain at the positions they were already at. To see this, either use the
>> zoom tools or do the following after running the above:
>>
>> xlim(1,2.5)
>> fig.canvas.draw()
>>
>> The question is, what is the best way to maintain the fractional minor
>> tick
>> spacing? I suppose one could set up a way to update the set_minor_locator
>> and redraw the figure each time the figure axes limits are adjusted, but
>> is
>> there a better way?
>>
>
> Try this:
>
> from pylab import *
> from matplotlib.ticker import AutoMinorLocator
>
> clf()
> ax=subplot(111)
> ax.autoscale(tight=True)
> plot([1,2,4],[1,2,3])
> ax.xaxis.set_minor_locator(**AutoMinorLocator(2))
> ax.yaxis.set_minor_locator(**AutoMinorLocator(2))
> draw()
>
> M
>
> PS: I believe this is a fairly new feature...
>
Thanks! Great news that AutoMinorLocator has been added and accomplishes
this. Regarding the P.S. I can confirm that the feature was not in
matplotlib 1.0.1 - I had to update to 1.1.0 to use it.
Best /Chris
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