It would seem the `axesA` keyword always has to be the "latest" axes. If not, the connector does not get added to the figure.
Minimal, complete and verifiable example: ###### from matplotlib.patches import ConnectionPatch import matplotlib.pyplot as plt import matplotlib as mpl import platform print(mpl.__version__) print(platform.python_version()) xya = (.5,.5) xyb = (.6,.7) # shows nothing f1, (ax11, ax12) = plt.subplots(1,2, sharey=False) con1 = ConnectionPatch(xyA=xya, xyB=xyb , coordsA='data', coordsB='data', axesA=ax12, axesB=ax11) ax11.add_artist(con1) # shows clipped line f2, (ax21, ax22) = plt.subplots(1,2, sharey=False) con2 = ConnectionPatch(xyA=xyb, xyB=xya , coordsA='data', coordsB='data', axesA=ax21, axesB=ax22) ax21.add_artist(con2) # shows desired result f3, (ax31, ax32) = plt.subplots(1,2, sharey=False) con3 = ConnectionPatch(xyA=xya, xyB=xyb , coordsA='data', coordsB='data', axesA=ax32, axesB=ax31) ax32.add_artist(con3) # shows nothing f4, (ax41, ax42) = plt.subplots(1,2, sharey=False) con4 = ConnectionPatch(xyA=xyb, xyB=xya , coordsA='data', coordsB='data', axesA=ax41, axesB=ax42) ax42.add_artist(con4) plt.draw() plt.show() ###### While reference to clipping is made in the user guide[1], the seemingly forced choice of `axesA` had me stumped for quite some time. While I understand that the choice of the axes to add the connector is important to avoid overlap (in other words, on which axes one should call the `add_artist` method), it seems unimportant whether xyA or xyB are referenced in ax1 or ax2. To clarify: I was expecting example 4 above to show a similar line as example 3. [1]: http://matplotlib.org/users/annotations_guide.html#using-connectorpatch
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