Just getting to this thread now. Since you asked for my insight -- I
can't reproduce the bug on my Linux box, but the patch looks innocent
enough if it fixes it for others.
Mike
John Hunter wrote:
> On Mon, Dec 8, 2008 at 6:37 AM, Jouni K. Seppänen <[EMAIL PROTECTED]> wrote:
>
>> I ran into
On Mon, Dec 8, 2008 at 6:37 AM, Jouni K. Seppänen <[EMAIL PROTECTED]> wrote:
> I ran into the same problem independently on an Intel Mac (I didn't read
> these messages until now) and came up with the first part of Jae-Joon
> Lee's fix. It does fix the problem, at least for me - I suspect the
> dif
I ran into the same problem independently on an Intel Mac (I didn't read
these messages until now) and came up with the first part of Jae-Joon
Lee's fix. It does fix the problem, at least for me - I suspect the
difference may not actually be in the platform but in the exact version
of numpy (I have
Unfortunately, today is a crazy day for me so I can't test until late
tonight at the earliest. But Charlie, I do think we should hold the
release until we resolve this. We should be able to fix and test this
by tomorrow afternoon so perhaps Monday night for the release if
everything is in
John,
I can't reproduce the error on my intel macbook.
Anyhow, it seems to me a bug in the code and bugs in numpy.
(I'm using numpy version 1.1.1, and I'm not sure these bugs are fixed
in newer numpy. )
Can you try the patch below and see if this fix your problem?
-JJ
Index: lib/matplotlib/sca
I held off on the release to hear back on this. Should we proceed
this evening if there is no response?
On Sat, Dec 6, 2008 at 5:09 PM, John Hunter <[EMAIL PROTECTED]> wrote:
> There appears to be a bug in the 3rd subplot of symlog_demo.py because
> the ticker is generating an OverflowError on my
There appears to be a bug in the 3rd subplot of symlog_demo.py because
the ticker is generating an OverflowError on my powerbook.
The problem is in SymmetricalLogLocator.__call__ when the vmin, vmax =
self._transform.transform((vmin, vmax)) call transforms
vmin,vmax=[-1,1] to [-3.30039237078e+17,1
