at the exact moment the mouse pointer hovers over the plotting area.
std is a dataframe with the exact same shape and columns as df and the plotting seem to makes sense. Thought I let you know of this irritating warning though.
This does not happen when I do not use the yerr option.
It is coming out of a Collection object (which is how error bars are implemented). The reason you are seeing this on master on mouse over is the hitlist computation a part of the hover feature (plot imshow to see the reason for this)
This should be ameliorated by #4813 which restricts the things that it tries to hit greatly.
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!
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tacaswell commented on Aug 13, 2015
It is coming out of a Collection object (which is how error bars are implemented). The reason you are seeing this on master on mouse over is the hitlist computation a part of the hover feature (plot imshow to see the reason for this)
This should be ameliorated by #4813 which restricts the things that it tries to hit greatly.
github-actions commented on Mar 15, 2023
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!
jklymak commented on Mar 15, 2023
I'll close for lack of a reproducible example. Feel free to ask for a re-open....