If you're happy with the default formatter behavior (which seems to
match with your #3 requirement), just reuse it.
class MyFormatter(ScalarFormatter):
def __call__(self, val, pos=None):
if val < 0:
return ''
else:
return ScalarFormatter.__call__(self, val)
-JJ
On Fri, Feb 12, 2010 at 5:24 PM, C M <cmpyt...@gmail.com> wrote:
> I would like a custom formatter that does 3 things:
>
> 1) Blanks out all the values less than 0.
> 2) Chooses appropriate major ticks when zoomed out.
> 3) Shows an integer when the zoom scale is revealing multiple
> integers, but shows a decimal number when it is just showing within
> one integer; i.e. if it is 1, 2, 3, 4 in first case but 1.1, 1.2,
> 1.3, 1.4 in the second.
>
> So far I have needs (1) and (2) of this with this super-simple custom
> formatter:
>
> class MyFormatter(ScalarFormatter):
> def __call__(self, val, pos=None):
> if val < 0:
> return ''
> else:
> return int(val)
>
> But how can I get need (3)? I need to know what the view_interval is
> to set a rule for this. Something like:
>
> if view_interval < 1:
> return val #this will be a decimal number
> else:
> return int(val) #an integer
>
> So how do I get the view_interval? I'm not understanding how to get
> that from matplotlib.ticker.TickHelper()--if that is even the right
> way to do it--because get_view_interval() is not a method of
> TickHelper but of "DummyAxis", and at that point I've lost the idea.
>
> Any help is appreciated. Thanks,
> Che
>
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