Hello again, and thanks.
I did not have a chance to look at this until now but using arc instead of
angle worked out great.
2010/3/24 Jae-Joon Lee <lee.j.j...@gmail.com>
> You should not use "angle" style if you change the x,y position (this
> is due to the algorithm of how the line connecting two points are
> create).
>
> Try something like below instead.
>
> if foo:
> if theta - foo < 10:
> print >>sys.stderr, "Overlapping, offsetting a little bit"
> y1 = y1 + 0.1
> if x1 > 0 :
> cstyle="arc,angleA=180,armA=30,armB=10,angleB=%f"%(-theta,)
> else:
> cstyle="arc,angleA=0,armA=30,armB=10,angleB=%f"%(theta,)
>
> There is not much documentation of how each algorithm works (it is
> beyond my english skill). They are loosely based on the latex pstrick
> package and the screenshot in the following link may be useful to get
> some idea though.
>
>
> http://matplotlib.sourceforge.net/users/annotations_guide.html#annotating-with-arrow
>
> Regards,
>
> -JJ
>
>
> 2010/3/24 Rune V. Sjøen <rvsj...@gmail.com>:
> > Hello again, and thank you very much for the answer, suddenly it all got
> > much clearer to me. The only 'issue' I am having is (from screenshot)
> what
> > happens to the line pointing to Logs when I try to offset it a little bit
> on
> > the Y axis. It looks like either the angleA or angleB is wrong, but I
> don't
> > see and reason why it would be as the X coordinates does not change.
> >
> > Another thing I do not quite understand is what that patchB does.
> >
> > figure(1, figsize=(6,6))
> > ax = axes([0.1, 0.1, 0.8, 0.8])
> >
> > labels = 'Frogs', 'Hogs', 'Dogs', 'Logs'
> > fracs = [45, 135 ,1, 1]
> >
> > p = pie(fracs)
> >
> > foo = None
> > for p1, l1 in zip(p[0], labels):
> >
> > r = p1.r
> > dr = r*0.1
> > t1, t2 = p1.theta1, p1.theta2
> > theta = (t1+t2)/2.
> >
> > xc = cos(theta/180.*pi)*r
> > yc = sin(theta/180.*pi)*r
> > x1 = cos(theta/180.*pi)*(r+dr)
> > y1 = sin(theta/180.*pi)*(r+dr)
> >
> > if x1 > 0 :
> > x1 = r+2*dr
> > ha, va = "left", "center"
> > cstyle="angle,angleA=180,angleB=%f"%(-theta,)
> > print >> sys.stderr, ha, ",A,", va
> > else:
> > x1 = -(r+2*dr)
> > ha, va = "right", "center"
> > cstyle="angle,angleA=0,angleB=%f"%(theta,)
> > print >> sys.stderr, ha, ",B,", va
> >
> > if foo:
> > if theta - foo < 10:
> > print >>sys.stderr, "Overlapping, offsetting a little
> > bit"
> > y1 = y1 + 0.1
> > foo = theta
> >
> > annotate(l1,
> > (xc, yc), xycoords="data",
> > xytext=(x1, y1), textcoords="data", ha=ha, va=va,
> > arrowprops=dict(arrowstyle="-",
> > connectionstyle=cstyle,
> > patchB=p1))
> >
> > - Rune
> >
> > 2010/3/23 Jae-Joon Lee <lee.j.j...@gmail.com>
> >>
> >> This should be doable using the annotation. Here is a simple cook-up I
> >> just did. it uses a naive algorithm to place the labels, but I guess
> >> it gives you an idea how things work.
> >> a screenshot is attached.
> >>
> >> Regards,
> >>
> >> -JJ
> >>
> >>
> >> from pylab import *
> >>
> >> # make a square figure and axes
> >> figure(1, figsize=(6,6))
> >> ax = axes([0.1, 0.1, 0.8, 0.8])
> >>
> >> labels = 'Frogs', 'Hogs', 'Dogs', 'Logs'
> >> fracs = [15,30,45, 10]
> >>
> >> explode=(0, 0.05, 0, 0)
> >> p = pie(fracs, explode=explode, shadow=True)
> >> title('Raining Hogs and Dogs', bbox={'facecolor':'0.8', 'pad':5})
> >>
> >> for p1, l1 in zip(p[0], labels):
> >> r = p1.r
> >> dr = r*0.1
> >> t1, t2 = p1.theta1, p1.theta2
> >> theta = (t1+t2)/2.
> >>
> >> xc, yc = r/2.*cos(theta/180.*pi), r/2.*sin(theta/180.*pi)
> >> x1, y1 = (r+dr)*cos(theta/180.*pi), (r+dr)*sin(theta/180.*pi)
> >> if x1 > 0 :
> >> x1 = r+2*dr
> >> ha, va = "left", "center"
> >> tt = -180
> >> cstyle="angle,angleA=0,angleB=%f"%(theta,)
> >> else:
> >> x1 = -(r+2*dr)
> >> ha, va = "right", "center"
> >> tt = 0
> >> cstyle="angle,angleA=0,angleB=%f"%(theta,)
> >>
> >> annotate(l1,
> >> (xc, yc), xycoords="data",
> >> xytext=(x1, y1), textcoords="data", ha=ha, va=va,
> >> arrowprops=dict(arrowstyle="-",
> >> connectionstyle=cstyle,
> >> patchB=p1))
> >>
> >> show()
> >
> >
>
------------------------------------------------------------------------------
Download Intel® Parallel Studio Eval
Try the new software tools for yourself. Speed compiling, find bugs
proactively, and fine-tune applications for parallel performance.
See why Intel Parallel Studio got high marks during beta.
http://p.sf.net/sfu/intel-sw-dev
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
