I think the issue here is to connect points in two different axes, which is possible but can be a bit difficult.
In the svn version of matplotlib, there are some helper classes to ease this job a bit. I'm attaching the example. I think you can also run the example with 0.98.5.3. Just download inset_locator.py and modify your import statement. http://matplotlib.svn.sourceforge.net/viewvc/matplotlib/trunk/matplotlib/lib/mpl_toolkits/axes_grid/inset_locator.py?revision=7084&view=markup Regards, -JJ On Mon, Jun 29, 2009 at 1:22 PM, Fabrice Silva<si...@lma.cnrs-mrs.fr> wrote: > Le lundi 29 juin 2009 à 14:39 +0200, Fabrice Silva a écrit : >> I merely wanted to add a Polygon patch between the upper and the lower >> subplots, but using data coordinates from these axes. > > One more precision : my intent is to draw a figure 'statically', I do > not need event handling, ie handling manual zoom through an interactive > backend. The figure is generated from a script and directly saved > without human interaction. > -- > Fabrice Silva <si...@lma.cnrs-mrs.fr> > LMA UPR CNRS 7051 > > > ------------------------------------------------------------------------------ > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users >
<<attachment: demo.png>>
"""
Demonstrate the use of the BboxPatch, BboxConnector.
Note that the example does not work correctly if the figure size changes interactively.
"""
import matplotlib.pyplot as plt
from matplotlib.path import Path
from matplotlib.transforms import blended_transform_factory, TransformedBbox
from mpl_toolkits.axes_grid.inset_locator import BboxPatch, BboxConnector
class BboxConnectorPatch(BboxConnector):
def __init__(self, bbox1, bbox2, loc1a, loc2a, loc1b, loc2b, **kwargs):
if "transform" in kwargs:
raise ValueError("trnasform should nt be set")
BboxConnector.__init__(self, bbox1, bbox2, loc1a, loc2a, **kwargs)
self.loc1b = loc1b
self.loc2b = loc2b
def get_path(self):
path1 = self.connect_bbox(self.bbox1, self.bbox2,
self.loc1, self.loc2)
path2 = self.connect_bbox(self.bbox2, self.bbox1,
self.loc2b, self.loc1b)
path_merged = list(path1.vertices) + list (path2.vertices) + [path1.vertices[0]]
return Path(path_merged)
if 1:
ax1 = plt.subplot(211)
ax2 = plt.subplot(212)
#def update_transform(fig):
# add bbox in upper axes (ax1)
tt = ax2.transScale + ax2.transLimits + ax1.transAxes
trans = blended_transform_factory(ax1.transData, tt)
mybbox = TransformedBbox(ax2.viewLim, trans)
bbox_patch = BboxPatch(mybbox, alpha=0.2)
ax1.add_patch(bbox_patch)
# add connecting lines in lower axes (ax2)
patch_props=dict(ec="b", alpha=0.5)
# connect lower-left corner (loc1=3) of mybbox to upper-left
# corner (loc2=2) of ax2.bbox
c1 = BboxConnector(mybbox, ax2.bbox, loc1=3, loc2=2, **patch_props)
c1.set_clip_on(False)
ax2.add_patch(c1)
# connect lower-right corner (loc1=4) of mybbox to upper-right
# corner (loc2=1) of ax2.bbox
c2 = BboxConnector(mybbox, ax2.bbox, loc1=4, loc2=1, **patch_props)
c2.set_clip_on(False)
ax2.add_patch(c2)
# a polygon patch.
p = BboxConnectorPatch(mybbox, ax2.bbox,
loc1a=3, loc2a=2,
loc1b=4, loc2b=1,
fc="b", ec="none", alpha=0.1)
p.set_clip_on(False)
ax2.add_patch(p)
# adjust the xlim
ax2.set_xlim(0.3, 0.5)
ax1.set_title("try pan/zoom each axes")
plt.show()
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