I didn't want to leave this uncommented. For some reason it works for
me now, see below my protocol of trying out, I guess it's some deeper
story within numpy.
Here is my protocol, showing that EPD's python/matplotlib.pylab has no
problem with numpy's 1.4.1 of GDAL 1.7 but for sure a problem w
On 2010-05-04 16:30:53 +0200, William Kyngesburye said:
Huh, did Enthought update their numpy also? If not, I'd expect the
sameproblems.
you expect the same problems for the situation
EPD: Numpy 1.4.0 and GDAL: Numpy 1.4.1
then for my previous situation:
EPD: Numpy 1.4.0 and GDAL: Numpy 1.3?
Huh, did Enthought update their numpy also? If not, I'd expect the same
problems.
On May 4, 2010, at 9:19 AM, K.-Michael Aye wrote:
> ahh, thank you very much! Thanks to your update using Numpy1.4.1 I
> successfully married your GDAL frameworks with EPD.
> and I lived happily ever after having
ahh, thank you very much! Thanks to your update using Numpy1.4.1 I
successfully married your GDAL frameworks with EPD.
and I lived happily ever after having all I needed.. (that is, until
the next cool software comes along. ;)
Have a great week!
Best regards,
Michael
On 2010-04-30 16:13:35 +02
Thanks. I probably would have forgotten to check before building and packaging
GDAL 1.7.2 this weekend.
On Apr 30, 2010, at 8:54 AM, K.-Michael Aye wrote:
> Hi William,
>
> Numpy1.4.1 has been released, just to let you know. *hint,hint* ;)
>
> Best regards and a nice weekend!
>
> Michael
>
Hi William,
Numpy1.4.1 has been released, just to let you know. *hint,hint* ;)
Best regards and a nice weekend!
Michael
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On 2010-04-21 18:17:35 +0200, Christopher Barker said:
William Kyngesburye wrote:
The problem is in Enthought's python, for using the retracted numpy,
and they need to update their numpy (which could be a while if they
don't want to use RC versions). I'm afraid I can't support using numpy
1.
William Kyngesburye wrote:
The problem is in Enthought's python, for using the retracted numpy, and they
need to update their numpy (which could be a while if they don't want to use RC
versions). I'm afraid I can't support using numpy 1.4.0.
Maybe you can follow: http://www.kyngchaos.com/mac
On Apr 21, 2010, at 8:40 AM, K.-Michael Aye wrote:
> Hm, if it's really that mindless of a task now, could you not build a GDAL
> for numpy 1.4.0, pretty please? :)
> Or would we have other problems then, due to this ABI break (which, I
> confess, i totally not understand).
If I did, it would b
On 2010-04-19 20:54:57 +0200, William Kyngesburye said:
On Apr 19, 2010, at 1:27 PM, Christopher Barker wrote:
William Kyngesburye wrote:
If you need to use GDAL with some other python module that uses
numpy, in the same script, or in the same session, this could still
be a problem.
yup --
On Apr 19, 2010, at 1:27 PM, Christopher Barker wrote:
> William Kyngesburye wrote:
>
>> If you need to use GDAL with some other python module that uses
>> numpy, in the same script, or in the same session, this could still
>> be a problem.
>
> yup -- that simply won't work
>
>> maybe importin
William Kyngesburye wrote:
If you need to use GDAL with some other python module that uses
numpy, in the same script, or in the same session, this could still
be a problem.
yup -- that simply won't work
maybe importing the other module before gdal would
work.
I don't think that will work
On Apr 19, 2010, at 12:23 PM, K.-Michael Aye wrote:
>> GDAL python *should* be able to use a later version of numpy than it
>> wasbuilt for, it's only the python side of the interface that it caresabout,
>> but I don't know what be happening at compile time that mightlock it in to a
>> specific
K.-Michael Aye wrote:
After a restart of the Terminal and start of ipython, an
import numpy
imports numpy 1.3.0 from the GDAL framework as confirmed by
numpy.__version__ and numpy.__path__
Did you try _not_ doing that, and using EPD's numpy instead -- maybe
William is right, and GDAL doesn'
GDAL python *should* be able to use a later version of numpy than it
wasbuilt for, it's only the python side of the interface that it
caresabout, but I don't know what be happening at compile time that
mightlock it in to a specific version of numpy, and python can be picky.
If you are includ
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