I think this change has been there for a while.
For recent versions of matplotlib, the default behavior of annotate is
that, when xycoords=="data", the arrow is drawn only when the
annotated point is inside the axes.
To override this behavior, use annotation_clip keyword parameter.
pylab.annotate('',(-1,3.1),(0,3.1),va='center',ha='center',
arrowprops=dict(arrowstyle='<->'), annotation_clip=False)
Regards,
-JJ
On Fri, Aug 27, 2010 at 9:21 PM, Stan Schymanski <ssc...@bgc-jena.mpg.de> wrote:
> Dear all,
>
> I don't know which update it was that broke it, but this used to work:
>
> import numpy
> import pylab
> pylab.clf()
> fig = pylab.figure(1,figsize=(8,5))
> ax = fig.add_subplot(111, autoscale_on=False, xlim=(-1,5),
> ylim=(-4,3))
>
> t = numpy.arange(0.0, 5.0, 0.01)
> s = numpy.cos(2*numpy.pi*t)
> line, = ax.plot(t, s, lw=3, color='purple')
> pylab.text(-0.5,3.2,'no data',ha='center')
> pylab.annotate('',(-1,3.1),(0,3.1),va='center',ha='center',arrowprops=dict(arrowstyle='<->'))
> pylab.savefig('blah.png')
>
> This used to plot an arrow under the text 'no data' but above the main plot.
> Now this arrow does not appear unless at least part of it is within the
> plotting area. Change one of the '3.1' in the code above to, say, 3.0 and the
> whole arrow is displayed. Is this a bug or is there a new way of achieving
> what I want?
>
> Thanks for your help already!
>
> Cheers
> Stan
>
>
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