FormatStrFormatter (and other formatters) rely on Python's string
interpolation, and It does not seem to be possible to get rid of the
leading zero (http://docs.python.org/library/stdtypes.html).
I think what you can do is to replace "0." with "." after the
interpolation. Something like below works for me.
from matplotlib.ticker import ScalarFormatter
s = subplot(111)
class ScalarFormatterNoLeadingZero(ScalarFormatter):
def pprint_val(self, x):
s = ScalarFormatter.pprint_val(self, x)
return s.replace("0.",".")
s.xaxis.set_major_formatter(ScalarFormatterNoLeadingZero())
HTH,
-JJ
On Sat, Feb 28, 2009 at 4:52 PM, per freem <perfr...@gmail.com> wrote:
> hi all,
>
> when i make any numeric scatter plot containing floats, the formatted tick
> labels always have leading zeros, e.g "0.5" as opposed to ".5" in the
> labels.
>
> for example:
>
> x = rand(10)
> scatter(x,x)
>
> is there any way to change this to remove the leading zeros? i have tried:
>
> s = subplot(111)
> majorFormatter = FormatStrFormatter('%0.1f')
> s.xaxis.set_major_formatter(majorFormatter)
> scatter(x,x)
>
> but it does not work. i also tried "%.f" but it does not work either. the
> matlab default is to plot without the leading zero and i am trying to
> recreate this.
>
> thank you.
>
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-OSBC tackles the biggest issue in open source: Open Sourcing the Enterprise
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