On 10/25/2012 08:17 AM, Dag Sverre Seljebotn wrote:
> On 10/24/2012 09:00 PM, Michael Aye wrote:
>> As numpy.fromfile seems to require full file object functionalities
>> like seek, I can not use it with the sys.stdin pipe.
>> So how could I stream a binary pipe directly into numpy?
>> I can imagin
On 10/24/2012 09:00 PM, Michael Aye wrote:
> As numpy.fromfile seems to require full file object functionalities
> like seek, I can not use it with the sys.stdin pipe.
> So how could I stream a binary pipe directly into numpy?
> I can imagine storing the data in a string and use StringIO but the
>
On Thu, Oct 25, 2012 at 6:01 AM, Jack Bryan wrote:
> Hi, All,
>
> I am trying to install numpy from http://www.scipy.org/Download .
>
> by
>
> git clone git://github.com/numpy/numpy.git numpy
>
>
> But, when I ran
>
> python setup.py install
>
> I got:
>
> SystemError: Cannot compile 'Python.h'
Hi, All,
I am trying to install numpy from http://www.scipy.org/Download .
by
git clone git://github.com/numpy/numpy.git numpy
But, when I ran
python setup.py install
I got:
SystemError: Cannot compile 'Python.h'. Perhaps you need to install
python-dev|python-devel
Where to get python-dev ?
On Wed, Oct 24, 2012 at 4:47 AM, Robert Kern wrote:
> How about this?
>
>
> def nancumsum(x):
> nans = np.isnan(x)
> x = np.array(x)
> x[nans] = 0
> reset_idx = np.zeros(len(x), dtype=int)
> reset_idx[nans] = np.arange(len(x))[nans]
> reset_idx = np.maximum.accumulate(rese
On Wed, Oct 24, 2012 at 3:00 PM, Michael Aye wrote:
> As numpy.fromfile seems to require full file object functionalities
> like seek, I can not use it with the sys.stdin pipe.
> So how could I stream a binary pipe directly into numpy?
> I can imagine storing the data in a string and use StringIO
As numpy.fromfile seems to require full file object functionalities
like seek, I can not use it with the sys.stdin pipe.
So how could I stream a binary pipe directly into numpy?
I can imagine storing the data in a string and use StringIO but the
files are 3.6 GB large, just the binary, and that w
On Wed, Oct 24, 2012 at 1:33 PM, denis wrote:
> Folks,
>np.linalg.lstsq of a random-uniform A 50 x 32 with 3 columns all 0
> returns x[:3] 0 as expected,
> but 4 columns all 0 => huge x:
> lstsq (50, 32) with 4 columns all 0:
> [ -3.7e+09 -3.6e+13 -1.9e+13 -2.9e+12 7.3e-01 ...
>
> Thi
Folks,
np.linalg.lstsq of a random-uniform A 50 x 32 with 3 columns all 0
returns x[:3] 0 as expected,
but 4 columns all 0 => huge x:
lstsq (50, 32) with 4 columns all 0:
[ -3.7e+09 -3.6e+13 -1.9e+13 -2.9e+12 7.3e-01 ...
This may be a roundoff problem, or even a Mac Altivec lapack bug,
Hi,
I was just looking at the einsum function.
To me, it's a really elegant and clear way of doing array operations, which
is the core of what numpy is about.
It removes the need to remember a range of functions, some of which I find
tricky (e.g. tile).
Unfortunately the present implementation se
On Tue, Oct 23, 2012 at 6:11 PM, Cera, Tim wrote:
> I have an array that is peppered throughout in random spots with 'nan'. I
> would like to use 'cumsum', but I want it to reset the accumulation to 0
> whenever a 'nan' is encountered. Is there a way to do this? Aside from a
> loop - which is w
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