Mike (or other transforms afficionados), The thread "[Matplotlib-users] Bug saving semilogy plots with a axvline" started by [EMAIL PROTECTED] pointed to a bug that appears to be deep in the transforms code. My head is spinning. The problem seems to be related to the propagation of the _invalid attribute in transforms, in the case of a mixed data/axes transform such as ashline uses. The following one-line change in TransformNode, second line from the bottom, works:
def invalidate(self): """ Invalidate this :class:`TransformNode` and all of its ancestors. Should be called any time the transform changes. """ # If we are an affine transform being changed, we can set the # flag to INVALID_AFFINE_ONLY value = (self.is_affine) and self.INVALID_AFFINE or self.INVALID # Shortcut: If self is already invalid, that means its parents # are as well, so we don't need to do anything. if self._invalid == value: return if not len(self._parents): self._invalid = value return # Invalidate all ancestors of self using pseudo-recursion. parent = None stack = [self] while len(stack): root = stack.pop() # Stop at subtrees that have already been invalidated if root._invalid != value or root.pass_through: root._invalid = self.INVALID # value <=========== stack.extend(root._parents.keys()) Now, I know this is the wrong solution, because it defeats all the cleverness with the _invalid values; but perhaps it will save you a few minutes in finding the right solution. To reproduce the problem, do this in ipython -pylab: axhline(5) yscale('log') ylim(0.5,30) Eric ------------------------------------------------------------------------- This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the coolest Linux based applications with Moblin SDK & win great prizes Grand prize is a trip for two to an Open Source event anywhere in the world http://moblin-contest.org/redirect.php?banner_id=100&url=/ _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel