On 1/12/2011 12:57 PM, David Cortesi wrote:
> I have installed ActiveState's Python 3 packages on Mac OS X 10.6.6.
> When I run the Mac OS installer it shows all disks as ineligible and
> the error message, "numpy 1.5.1 can't be installed on this disk. numpy
> requires System Python 2.6 to install
I have installed ActiveState's Python 3 packages on Mac OS X 10.6.6.
There exists:
/Library/Frameworks/Python.framework/Versions/Current/Python*
When I run the Mac OS installer it shows all disks as ineligible and
the error message, "numpy 1.5.1 can't be installed on this disk. numpy
requires S
Wed, 12 Jan 2011 17:34:32 +, Grégory Guyomarc'h wrote:
[clip]
> y = (numpy.dot(m, x) - 13.90901663) * 1000.0 print y[0]
[clip]
> Also, I could not reproduce it with older versions of numpy such as 1.3.
> Is this behavior expected ? Is there a way to make sure the results of a
> numpy floa
Hello,
I have noticed strange non-deterministic behaviours with numpy 1.5.1 when using
floating point arrays. The following script were run on 6 different machines,
all Intel Core i7:
- 3 of them running numpy 1.5.1 with either Python 2.7.1 (x86) or 2.5.2 (x86)
and,
- 3 of them running numpy 1.
On Wed, Jan 12, 2011 at 8:20 AM, Bruce Southey wrote:
> On 12/13/2010 04:53 PM, Keith Goodman wrote:
>> On Mon, Dec 13, 2010 at 12:20 PM, Bruce Southey wrote:
>>
>>> Unless something has changed since the docstring was written, this is
>>> probably an inherited 'bug' from np.mean() as the author
Hi there,
I've been trying to take the numpy docstring and apply the same
methodology to a different project I work on, but there are a couple
details that I think I'm unclear on, and I was hoping for some
pointers or at least reassurances that it's working as intended,
despite Sphinx's protests.
On Wed, Jan 12, 2011 at 11:05 AM, Zachary Pincus
wrote:
>> Thank you very much for the prompt response. I have already done
>> what you
>> have suggested, but there are a few cases where I do need to have an
>> array
>> named with a variable (looping through large numbers of unrelated
>> files an
On 12/13/2010 04:53 PM, Keith Goodman wrote:
> On Mon, Dec 13, 2010 at 12:20 PM, Bruce Southey wrote:
>
>> Unless something has changed since the docstring was written, this is
>> probably an inherited 'bug' from np.mean() as the author expected that
>> the docstring of mean was correct. For my 'o
> Thank you very much for the prompt response. I have already done
> what you
> have suggested, but there are a few cases where I do need to have an
> array
> named with a variable (looping through large numbers of unrelated
> files and
> calculations that need to be dumped into different an
On 12. jan. 2011, at 16.40, dstaley wrote:
>
>
> Zachary Pincus-2 wrote:
>>
>>> Is it possible to use a variable in an array name? I am looping
>>> through a
>>> bunch of calculations, and need to have each array as a separate
>>> entity.
>>> I'm pretty new to python and numpy, so forgive
Zachary Pincus-2 wrote:
>
>> Is it possible to use a variable in an array name? I am looping
>> through a
>> bunch of calculations, and need to have each array as a separate
>> entity.
>> I'm pretty new to python and numpy, so forgive my ignorance. I'm
>> sure there
>> is a simple answer
> Is it possible to use a variable in an array name? I am looping
> through a
> bunch of calculations, and need to have each array as a separate
> entity.
> I'm pretty new to python and numpy, so forgive my ignorance. I'm
> sure there
> is a simple answer, but I can't seem to find it.
>
> l
Is it possible to use a variable in an array name? I am looping through a
bunch of calculations, and need to have each array as a separate entity.
I'm pretty new to python and numpy, so forgive my ignorance. I'm sure there
is a simple answer, but I can't seem to find it.
let's say i have a var
On Jan 12, 2011, at 12:45 PM, Ben Elliston wrote:
> I have a masked array of values that I would like to transform through
> a user-defined function. Naturally, I want to ignore any values that
> are masked in the initial array.
>
> The user-defined function examines other points around the val
I have a masked array of values that I would like to transform through
a user-defined function. Naturally, I want to ignore any values that
are masked in the initial array.
The user-defined function examines other points around the value in
question, so I need to use ndenumerate (or similar) to g
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