On Fri, Jun 27, 2008 at 15:06, John Hunter <[EMAIL PROTECTED]> wrote:
> I would like to find the sample points where the running sum of some
> vector
All non-negative, right?
> exceeds some threshold -- at those points I want to collect all
> the data in the vector since the last time the criteri
On Fri, Jun 27, 2008 at 7:10 AM, Fernando Perez <[EMAIL PROTECTED]> wrote:
> On Thu, Jun 26, 2008 at 1:25 PM, Robert Kern <[EMAIL PROTECTED]> wrote:
>
>> One downside of this is that the attribute access feature slows down
>> all field accesses, even the r['foo'] form, because it sticks a bunch
>>
Greetings,
The SciPy Conference is not too far away. I thought I'd summarize
some recent news about the conference in case some of you missed it:
- Accommodations (news!): We've negotiated a group rate with a nearby
Marriott hotel, for those that would like to take advantage of it.
The h
On Fri, Jun 27, 2008 at 17:13, Travis E. Oliphant
<[EMAIL PROTECTED]> wrote:
> Robert Kern wrote:
>>
>> The only inconsistency I can see here is that x.item() gives a tuple
>> rather than a scalar record. A scalar record does have field access,
>> but the tuple doesn't.
>>
>> In [28]: x.item()['a']
Robert Kern wrote:
>
> The only inconsistency I can see here is that x.item() gives a tuple
> rather than a scalar record. A scalar record does have field access,
> but the tuple doesn't.
>
> In [28]: x.item()['a']
>
.item() always returns a standard Python type. So, this is expected
behavior.
I would like to find the sample points where the running sum of some
vector exceeds some threshold -- at those points I want to collect all
the data in the vector since the last time the criteria was reached
and compute some stats on it. For example, in python
tot = 0.
xs = []
ys = []
On Fri, Jun 27, 2008 at 10:27, Charles R Harris
<[EMAIL PROTECTED]> wrote:
> Question,
>
> In [24]: x = array(('1', u'2'), dtype=[('a', '|S4'), ('b', '
> In [25]: x.shape
> Out[25]: ()
>
> In [26]: x['a']
> Out[26]:
> array('1',
> dtype='|S4')
>
> Shouldn't the last be a string?
No.
In [6]:
On Fri, Jun 27, 2008 at 12:41:25PM -0600, Charles R Harris wrote:
>So how do we find the abstracts/papers for review?
Hey Chuck,
If you question is: how do you, as a member of the review committee, get
to read the abstracts, the answer is that I will send a pdf with all of
them.
I am really
On Fri, Jun 27, 2008 at 12:24 PM, Gael Varoquaux <
[EMAIL PROTECTED]> wrote:
> The deadline for submitting abstracts to the Scipy conference was tonight.
> In order to give you more time to submit excellent abstracts, the review
> committee is extending the deadline to Monday (June 30th), and will
The deadline for submitting abstracts to the Scipy conference was tonight.
In order to give you more time to submit excellent abstracts, the review
committee is extending the deadline to Monday (June 30th), and will work
hastily to get all of them reviewed in time for the program announcement,
on T
Question,
In [24]: x = array(('1', u'2'), dtype=[('a', '|S4'), ('b', '___
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I'm going to have a 2 or 3-weeks vacation, and will shut down
the Windows_XP_x86_64_MSVC during this time. I will restart it
when I come back, sorry for the inconvenience.
Thanks,
Thomas
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On Fri, Jun 27, 2008 at 10:58:33AM +0200, Alfredo Alessandrini wrote:
> What's the better method or working (I'm a beginner of python and R):
> - Numpy
> - Bash shell + R
> - Rpy + R
> - Other possibilities??
numpy + scipy.stats and when you need more Rpy, but I like to keep it to
a minimum.
Gaë
I must analyse many data (about 2000 historical series of two variables).
This data are organized in matrix.
I must calculate some simple statistical analysis, and I must write a
script for to automate the processing.
I've a simple question:
What's the better method or working (I'm a beginner o
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