Also see discussion at #2986

The limitation is how the event handling system deals with over-lapping axes (which is to give the event to the top one and be done with it).

Perhaps we should just reopen the old issue and close this one?

Is there a workaround for this at the moment? In my case, I have

ax1 = fig.add_subplot(211)
ax1t = ax1.twinx()

and I want the y=<...> in the status bar to show ax1's y value instead of ax1t's.

Unfortunately, I don't think there is a workaround, except to flip around
which axes twins which, which probably isn't ideal.

On Tue, Jan 19, 2016 at 1:06 AM, kawing-chiu notifications@github.com
wrote:

Is there a workaround for this at the moment? In my case, I have

ax1 = fig.add_subplot(211)
ax1t = ax1.twinx()

and I want the y=<...> in the status bar to show ax1's y value instead of
ax1t's.

—
Reply to this email directly or view it on GitHub
#5506 (comment)
.

See https://stackoverflow.com/questions/16672530/cursor-tracking-using-matplotlib-and-twinx/16672970#16672970 for a start on how to do this.

This issue has been marked "inactive" because it has been 365 days since the last comment. If this issue is still present in recent Matplotlib releases, or the feature request is still wanted, please leave a comment and this label will be removed. If there are no updates in another 30 days, this issue will be automatically closed, but you are free to re-open or create a new issue if needed. We value issue reports, and this procedure is meant to help us resurface and prioritize issues that have not been addressed yet, not make them disappear. Thanks for your help!

Displaying the coordinates on all axes over which the mouse cursor is (#2986 (comment)) still seems reasonable to me.

This issue has been marked "inactive" because it has been 365 days since the last comment. If this issue is still present in recent Matplotlib releases, or the feature request is still wanted, please leave a comment and this label will be removed. If there are no updates in another 30 days, this issue will be automatically closed, but you are free to re-open or create a new issue if needed. We value issue reports, and this procedure is meant to help us resurface and prioritize issues that have not been addressed yet, not make them disappear. Thanks for your help!