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
The time scale can be made much more efficient if we know that the index values are unique, sorted, and consistent (i.e. each dataset / labels contain same values)
Would we want one option that specifies all of these conditions are true? Where would we want this option to live? At the top-level options since it refers to all datasets? Or at the scale-level since that's what it's being used? (and technically would only have to be true for the datasets plotted against that scale)
I was originally attempting to solve this via a new dataset format (#6696), but that would only solve the consistency and not the uniqueness or sorting constraint. Adding an option was also suggested in #6695 (comment)
The text was updated successfully, but these errors were encountered:
The time scale can be made much more efficient if we know that the index values are unique, sorted, and consistent (i.e. each dataset / labels contain same values)
Would we want one option that specifies all of these conditions are true? Where would we want this option to live? At the top-level options since it refers to all datasets? Or at the scale-level since that's what it's being used? (and technically would only have to be true for the datasets plotted against that scale)
I was originally attempting to solve this via a new dataset format (#6696), but that would only solve the consistency and not the uniqueness or sorting constraint. Adding an option was also suggested in #6695 (comment)
The text was updated successfully, but these errors were encountered: