Mike,
This is a gentle check--I suspect my original message, below, may have
slipped under the radar.
Eric
Eric Firing wrote:
> 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
>
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