On 4/22/07, Charles R Harris <[EMAIL PROTECTED]> wrote:
On 4/22/07, Christian Marquardt <[EMAIL PROTECTED]> wrote:
>
> Hello,
>
> The following is what I expected...
>
>>>> y = 1234
>>>> x = array([1], dtype = "uint64")
>>>> print x + y, (x + y).dtype.type
>[1235]
>
> but is t
On 4/22/07, Christian Marquardt <[EMAIL PROTECTED]> wrote:
Hello,
The following is what I expected...
>>> y = 1234
>>> x = array([1], dtype = "uint64")
>>> print x + y, (x + y).dtype.type
[1235]
but is this the way it should be? (numpy 1.0.2, Linux, Intel comilers)
>>> print
Hello,
The following is what I expected...
>>> y = 1234
>>> x = array([1], dtype = "uint64")
>>> print x + y, (x + y).dtype.type
[1235]
but is this the way it should be? (numpy 1.0.2, Linux, Intel comilers)
>>> print x[0] + y, type(x[0] + y)
1235.0
Thanks,
Christian.
__
On Apr 21, 2007, at 09:03 , Christian Marquardt wrote:
Yes,
that worked - many thanks!
FWIW, svn should work out of the box now.
On Thu, April 19, 2007 22:38, David M. Cooke wrote:
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Christian Marquardt wrote:
Dear David,
the svn version of nu
It seems to be a lot slower than pylab.load for large arrays. Also, it
doesn't handle dates.
Vincent
On 4/22/07 10:33 AM, "Markus Rosenstihl"
<[EMAIL PROTECTED]> wrote:
> Whats wrong with scipy.io.read_array?
>
> Am 19.04.2007 um 15:50 schrieb Lisandro Dalcin:
>
>> On 4/19/07, Travis Oliphant
Whats wrong with scipy.io.read_array?
Am 19.04.2007 um 15:50 schrieb Lisandro Dalcin:
On 4/19/07, Travis Oliphant <[EMAIL PROTECTED]> wrote:
Nick Fotopoulos wrote:
Devs, is there any possibility of moving/copying pylab.load to numpy?
I don't see anything in the source that requires the rest o
