Cross axis arrows

Hi,

how to make this arrow not disappear below the right plot?
Here is the code :

cross_arrow.png

···

from matplotlib.patches import *
import matplotlib.pyplot as P

P.figure(figsize=(5, 3))
ax1 = P.subplot(121)
P.plot([0, 1])
ax2 = P.subplot(122)
P.plot([0, 1])

patch = ConnectionPatch((.5, .5), (.7, .3), ‘data’, ‘data’, axesA=ax1, axesB=ax2,
zorder=100, arrowstyle=‘fancy’,clip_on=False, connectionstyle=‘Angle3’, mutation_scale=100)
ax1.add_patch(patch)

P.savefig(‘cross_arrow.png’)
P.show()


Stephane Raynaud

You need to add the patch to the second axes.

patch = ConnectionPatch((.5, .5), (.7, .3), 'data', 'data',
                        axesA=ax1, axesB=ax2,
                        zorder=100, arrowstyle='fancy',
                        connectionstyle='Angle3',
                        mutation_scale=10)
ax2.add_patch(patch)

However, this does not work right out of the box currently (which
should be bug).
As a workaround, add a following line and it will work.

patch.set_annotation_clip(False)

It would be appreciated if you file a bug report for a future reference.

Regards,

-JJ

···

On Thu, Dec 3, 2009 at 9:31 AM, Stephane Raynaud <stephane.raynaud@...287...> wrote:

Hi,

how to make this arrow not disappear below the right plot?
Here is the code :

------------------------------------------------------------
from matplotlib.patches import *
import matplotlib.pyplot as P

P.figure(figsize=(5, 3))
ax1 = P.subplot(121)
P.plot([0, 1])
ax2 = P.subplot(122)
P.plot([0, 1])

patch = ConnectionPatch((.5, .5), (.7, .3), 'data', 'data', axesA=ax1,
axesB=ax2,
zorder=100, arrowstyle='fancy',clip_on=False, connectionstyle='Angle3',
mutation_scale=100)
ax1.add_patch(patch)

P.savefig('cross_arrow.png')
P.show()
------------------------------------------------------------

--
Stephane Raynaud

------------------------------------------------------------------------------
Join us December 9, 2009 for the Red Hat Virtual Experience,
a free event focused on virtualization and cloud computing.
Attend in-depth sessions from your desk. Your couch. Anywhere.
http://p.sf.net/sfu/redhat-sfdev2dev
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
matplotlib-users List Signup and Options