You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
Repository navigation
ax.ignore_existing_data_limits is undocumented + view scaling documentation #18401
2.
More generally, there is not much documentation on how to update the view extent/datalims of an axis after adding artists or collections. What there is can at times be confusing someone (i.e. me) trying to work through how to dynamically update plots. For example, the docstring of relim says that it will not work for collections but it's not clear what I should use instead of relim. But I know from pyplot functions such as hist and scatter it is clear that it is possible to update the datalims to account for collections.
Suggested Improvement
It would be awesome to have a tutorial dedicated to explaining the interactions between and how to use all of the following: relim autoscale autoscale_view datalim xlim/ylim other things I don't know about yet
basically a tutorial that could be used a one stop shop for understanding how to automatically update the view extent of an axis to match any updates that might be applied either via interaction or an animation.
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!
Activity
QuLogic commentedon Sep 3, 2020
I'm not sure whether
ignore_existing_data_limitsis a public API, or some internal state, though I guess it appears that people use it already.anntzer commentedon Sep 4, 2020
See discussion at #17106. (I think ignore_existing_data_limits should go away, but as always "it's complicated".)
github-actions commentedon Aug 18, 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!
ianhi commentedon Aug 18, 2023
This is still an issue