I forwarded this msg to John, in case he isn't watching this list.
I recall that around that time (Y2K) John grabbed a few domains of
public projects and donated them as soon as the project was ready for
it. (To keep the squatters at bay I guess.)
-robert
On Oct 13, 2010, at 8:03 AM, Benj
On Dec 13, 2009, at 7:07 AM, josef.p...@gmail.com wrote:
> On Sun, Dec 13, 2009 at 3:31 AM, Pierre GM
> wrote:
>> On Dec 13, 2009, at 12:11 AM, Robert Ferrell wrote:
>>> Have you considered creating a TimeSeries for each data series, and
>>> then putting them al
On Dec 13, 2009, at 1:31 AM, Pierre GM wrote:
> On Dec 13, 2009, at 12:11 AM, Robert Ferrell wrote:
>> Have you considered creating a TimeSeries for each data series, and
>> then putting them all together in a dict, keyed by symbol?
>
> That's an idea
>
>>
Have you considered creating a TimeSeries for each data series, and
then putting them all together in a dict, keyed by symbol?
One disadvantage of one big monster numpy array for all the series is
that not all series may have a full set of 1800 data points. So the
array isn't really nicely
On Oct 22, 2009, at 1:35 AM, Sturla Molden wrote:
> Robert Kern skrev:
>> No, I think you're right. Using "SIMD" to refer to numpy-like
>> operations is an abuse of the term not supported by any outside
>> community that I am aware of. Everyone else uses "SIMD" to describe
>> hardware instruction
On Sep 11, 2009, at 5:07 PM, Neal Becker wrote:
> I'd love to participate in these webinars. Problem is, AFAICT,
> gotomeeting
> only supports windows.
I'm not certain that is correct. I've participated in some of these,
and Im' running OS X (10.5). I think those were gotomeeting, althou
On Jun 1, 2009, at 4:41 PM, Robert Kern wrote:
> On Mon, Jun 1, 2009 at 17:32, Robert Ferrell
> wrote:
>> Is there a way to get slices of a structured array and keep the field
>> names? For instance, I've got dtype=[('x','f4'),('y',&
Is there a way to get slices of a structured array and keep the field
names? For instance, I've got dtype=[('x','f4'),('y','f4'),
('z','f4')] and I want to get just the x & y slices into a new array
with dtype=[('x','f4'),('y','f4')].
I can just make a new dtype, and extract what I need, but
On May 25, 2009, at 10:59 PM, Joe Harrington wrote:
> Let's keep this thread focussed on the original issue:
>
> just add a floating array of times to irr or a new xirr
> continuous interest
> no more
>
> Anyone can use the timeseries package to produce a floating array of
> times from normal dat
On May 25, 2009, at 9:15 PM, Matt Knox wrote:
> gmail.com> writes:
>
>> So, while python won't get any "industrial strength" finance package,
>> a more modest "designer package" would be feasible, if there were any
>> interest in it (which I haven't seen).
>>
>> ...
>>
>> The even more modest qu
I haven't read all the messages in detail, and I'm a consumer not a
producer, but I'll comment anyways.
I'd love to see additional "financial" functionality, but I'd like to
see them in a scikit, not in numpy. I think to be useful they are too
complicated to go into numpy. A couple of my m
Sweet. So simple. That works great.
thanks,
-robert
On Nov 27, 2008, at 8:41 AM, Angus McMorland wrote:
> 2008/11/27 Robert Ferrell <[EMAIL PROTECTED]>:
>> I have a question about assigning to masked arrays. a is a len ==3
>> masked array, with 2 unmasked elements. b is
I have a question about assigning to masked arrays. a is a len ==3
masked array, with 2 unmasked elements. b is a len == 2 array. I
want to put the elements of b into the unmasked elements of a. How do
I do that?
In [598]: a
Out[598]:
masked_array(data = [1 -- 3],
mask = [False T
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