On Tue, Jul 5, 2011 at 11:41 PM, Russell E. Owen wrote:
> In article ,
> Ralf Gommers wrote:
>
> > https://sourceforge.net/projects/numpy/files/NumPy/1.6.1rc2/
>
> Will there be a Mac binary for 32-bit pythons (one that is compatible
> with older versions of MacOS X)? At present I only see a 64
Thanks for these notes. Just a couple of thoughts as I looked over these
notes.
On Tue, Jul 5, 2011 at 6:46 PM, Christopher Jordan-Squire
wrote:
>
3. Using IGNORE to signal a jagged array. e.g., [ [1, 2, IGNORE], [IGNORE,
> 3, 4] ] should behave exactly the same as [ [1 , 2] , [3 , 4] ]. Though
Here's a short-ish summary of the topics discussed in the conference call
this afternoon. WARNING: I try to give examples for everything discussed to
make it as concrete as possible. However, most of the examples were not
explicitly discussed during the conference. I apologize in advance if I
misch
On Jul 5, 2011, at 9:23 PM, Skipper Seabold wrote:
> On Tue, Jul 5, 2011 at 2:46 PM, Pierre GM wrote:
>>>
>>> <...>
>>
>> Hello,
>> The idea behin having a lib.recfunctions and not a rec.recfunctions or
>> whatever was to illustrate that the functions of this package are more
>> generic than
In article ,
Ralf Gommers wrote:
> https://sourceforge.net/projects/numpy/files/NumPy/1.6.1rc2/
Will there be a Mac binary for 32-bit pythons (one that is compatible
with older versions of MacOS X)? At present I only see a 64-bit
10.6-only version.
-- Russell
___
qu...@gmx.at wrote:
> i have to reshape a matrix beta of the form (4**N, 4**N, 4**N, 4**N)
> into betam like (16**N, 16**N) following:
>
> betam = np.zeros((16**N,16**N), dtype = complex)
> for k in xrange(16**N):
> ind1 = np.mod(k,4**N)
> ind2 = k/4**N
> for l in xrange(16**N):
>
i have to reshape a matrix beta of the form (4**N, 4**N, 4**N, 4**N)
into betam like (16**N, 16**N) following:
betam = np.zeros((16**N,16**N), dtype = complex)
for k in xrange(16**N):
ind1 = np.mod(k,4**N)
ind2 = k/4**N
for l in xrange(16**N):
betam[k,l] = beta[np.mod(l,4**N),
Mark Wiebe wrote:
> Speaking of which, would we make the NA value be false?
>
> For booleans, it works out like this:
>
> http://en.wikipedia.org/wiki/Ternary_logic#Kleene_logic
That's pretty cool!
> In R, trying to test the truth value of NA ("if (NA) ...") raises an
> exception. Adopting
Mark Wiebe writes:
> We'll have someone taking notes to create a summary as Nathaniel suggested.
Thanks.
--
"And it's much the same thing with knowledge, for whenever you learn
something new, the whole world becomes that much richer."
-- The Princess of Pure Reason, as told by Norton Juster
On Tue, Jul 5, 2011 at 2:46 PM, Pierre GM wrote:
>
> On Jul 5, 2011, at 8:33 PM, Skipper Seabold wrote:
>
>> On Fri, Jul 1, 2011 at 2:32 PM, Skipper Seabold wrote:
>>> On Fri, Jul 1, 2011 at 2:22 PM, wrote:
On Fri, Jul 1, 2011 at 1:59 PM, Skipper Seabold
wrote:
> lib.recfunction
On Jul 5, 2011, at 8:33 PM, Skipper Seabold wrote:
> On Fri, Jul 1, 2011 at 2:32 PM, Skipper Seabold wrote:
>> On Fri, Jul 1, 2011 at 2:22 PM, wrote:
>>> On Fri, Jul 1, 2011 at 1:59 PM, Skipper Seabold wrote:
lib.recfunctions has never been fully advertised. The two bugs I just
disc
On Fri, Jul 1, 2011 at 2:32 PM, Skipper Seabold wrote:
> On Fri, Jul 1, 2011 at 2:22 PM, wrote:
>> On Fri, Jul 1, 2011 at 1:59 PM, Skipper Seabold wrote:
>>> lib.recfunctions has never been fully advertised. The two bugs I just
>>> discovered lead me to believe that it's not that well vetted, b
Here are the details for the call:
1. Please join my meeting, Jul 5, 2011 at 2:00 PM Central time.
https://www1.gotomeeting.com/join/972295593
2. Use your microphone and speakers (VoIP) - a headset is recommended. Or,
call in using your telephone.
Dial +1 (312) 878-3070
Access Code: 972-295-59
Also, I can see the motivation for wanting a voice meeting, but on the
subject of keeping people in the loop, could we make sure that someone
is taking notes on what happens, and that they get posted to the list?
-- Nathaniel
On Tue, Jul 5, 2011 at 6:12 AM, Mark Wiebe wrote:
> On Fri, Jul 1, 201
On Sat, Jul 2, 2011 at 6:28 AM, Matthew Brett wrote:
> Here the primary discussion I was trying to start was about why the
> discussion failed and led to bad feeling.
Well, I have a hypothesis, don't know if it's true. It goes like this:
Most of the time, when one of us decides to take the troubl
Charles R Harris wrote:
> On Tue, Jul 5, 2011 at 8:37 AM, Charles R Harris
> wrote:
>
>>
>>
>> On Tue, Jul 5, 2011 at 8:13 AM, Neal Becker wrote:
>>
>>> Charles R Harris wrote:
>>>
>>> > On Tue, Jul 5, 2011 at 7:45 AM, Neal Becker
>>> wrote:
>>> >
>>> >> I thought I'd try to speed up numpy on m
On Tue, Jul 5, 2011 at 12:26 PM, Ted To wrote:
> On 07/05/2011 11:07 AM, josef.p...@gmail.com wrote:
>> For example sample x>=U and then sample y>=u-x. That's two univariate
>> normal samples.
>
> Ah, that's what I was looking for! Many thanks!
just in case I wasn't clear, if x and y are correla
On Tue, Jul 5, 2011 at 11:45 AM, Benjamin Root wrote:
>
> On Tue, Jul 5, 2011 at 11:34 AM, Chris Barker wrote:
>
>>
>> Speaking of which, would we make the NA value be false?
>>
>>
> The NEP currently states that accessing np.NA as a boolean will act as an
> error. However, logical_and([NA, Fals
On Tue, Jul 5, 2011 at 11:34 AM, Chris Barker wrote:
>
> Speaking of which, would we make the NA value be false?
>
>
The NEP currently states that accessing np.NA as a boolean will act as an
error. However, logical_and([NA, False]) == False and logical_or([NA,
True]) will be special-cased.
This
On Tue, Jul 5, 2011 at 11:34 AM, Chris Barker wrote:
> On 7/3/11 9:03 PM, Joe Harrington wrote:
> > Christopher Barker, Ph.D. wrote
> >> quick note on this: I like the "FALSE == good" way, because:
> >
> > So, you like to have multiple different kinds of masked, but I need
> > multiple good value
On 7/3/11 9:03 PM, Joe Harrington wrote:
> Christopher Barker, Ph.D. wrote
>> quick note on this: I like the "FALSE == good" way, because:
>
> So, you like to have multiple different kinds of masked, but I need
> multiple good values for counts.
fair enough, maybe there isn't a consensus about wha
On 07/05/2011 11:07 AM, josef.p...@gmail.com wrote:
> For example sample x>=U and then sample y>=u-x. That's two univariate
> normal samples.
Ah, that's what I was looking for! Many thanks!
___
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NumPy-Discussion@scipy.org
ht
On Tue, Jul 5, 2011 at 10:33 AM, Ted To wrote:
> On 07/05/2011 10:17 AM, josef.p...@gmail.com wrote:
>> On Mon, Jul 4, 2011 at 10:13 PM, Ted To wrote:
>>> Hi,
>>>
>>> Is there an easy way to make random draws from a conditional random
>>> variable? E.g., draw a random variable, x conditional on
On Tue, Jul 5, 2011 at 8:37 AM, Charles R Harris
wrote:
>
>
> On Tue, Jul 5, 2011 at 8:13 AM, Neal Becker wrote:
>
>> Charles R Harris wrote:
>>
>> > On Tue, Jul 5, 2011 at 7:45 AM, Neal Becker
>> wrote:
>> >
>> >> I thought I'd try to speed up numpy on my fedora system by rebuilding
>> the
>> >
On Tue, Jul 5, 2011 at 8:13 AM, Neal Becker wrote:
> Charles R Harris wrote:
>
> > On Tue, Jul 5, 2011 at 7:45 AM, Neal Becker wrote:
> >
> >> I thought I'd try to speed up numpy on my fedora system by rebuilding
> the
> >> atlas
> >> package so it would be tuned for my machine. But when I do:
On 07/05/2011 10:17 AM, josef.p...@gmail.com wrote:
> On Mon, Jul 4, 2011 at 10:13 PM, Ted To wrote:
>> Hi,
>>
>> Is there an easy way to make random draws from a conditional random
>> variable? E.g., draw a random variable, x conditional on x>=\bar x.
>
> If you mean here truncated distribution
On Mon, Jul 4, 2011 at 10:13 PM, Ted To wrote:
> Hi,
>
> Is there an easy way to make random draws from a conditional random
> variable? E.g., draw a random variable, x conditional on x>=\bar x.
If you mean here truncated distribution, then I asked a similar
question on the scipy user list a mon
Charles R Harris wrote:
> On Tue, Jul 5, 2011 at 7:45 AM, Neal Becker wrote:
>
>> I thought I'd try to speed up numpy on my fedora system by rebuilding the
>> atlas
>> package so it would be tuned for my machine. But when I do:
>>
>> rpmbuild -ba -D 'enable_native_atlas 1' atlas.spec
>>
>> it f
On Tue, Jul 5, 2011 at 7:45 AM, Neal Becker wrote:
> I thought I'd try to speed up numpy on my fedora system by rebuilding the
> atlas
> package so it would be tuned for my machine. But when I do:
>
> rpmbuild -ba -D 'enable_native_atlas 1' atlas.spec
>
> it fails with:
>
> res/zgemvN_5000_100 :
I thought I'd try to speed up numpy on my fedora system by rebuilding the atlas
package so it would be tuned for my machine. But when I do:
rpmbuild -ba -D 'enable_native_atlas 1' atlas.spec
it fails with:
res/zgemvN_5000_100 : VARIATION EXCEEDS TOLERENCE, RERUN WITH HIGHER REPS.
A bit of go
On Fri, Jul 1, 2011 at 2:22 PM, Mark Wiebe wrote:
> The missing data thread has gotten a bit heated, and after sitting down
> with Travis to discuss the issues a bit, we've concluded that it would be
> nice to do a call with everyone who's interested in the discussion with
> better communication
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