Ok...I got it.
Sorry for stupid question.
On Thursday 09 October 2014 11:12 AM, suchith wrote:
> How to extract individual columns from a numpy array?
> For example, consider this script
>
> import numpy as np
> a = np.array([[1,2,3],[4,5,6],[7,8,9]])
> a[0][:]
> a[:][0]
>
> Now both a[:][0] and a
>import numpy as np
a = np.array([[1,2,3],[4,5,6],[7,8,9]])
a[0][:]
a[:][0]
Now both a[:][0] and a[0][:] are outputting the same result, i.e
np.array([1,2,3]). If I want to extract the array [[1],[4],[7]] then
what should I do? Is it possible to add this feature?
The feature is already there:
a[:
On Thu, Oct 9, 2014 at 6:42 AM, suchith wrote:
> How to extract individual columns from a numpy array?
> For example, consider this script
>
> import numpy as np
> a = np.array([[1,2,3],[4,5,6],[7,8,9]])
> a[0][:]
> a[:][0]
>
> Now both a[:][0] and a[0][:] are outputting the same result, i.e
> np.
How to extract individual columns from a numpy array?
For example, consider this script
import numpy as np
a = np.array([[1,2,3],[4,5,6],[7,8,9]])
a[0][:]
a[:][0]
Now both a[:][0] and a[0][:] are outputting the same result, i.e
np.array([1,2,3]). If I want to extract the array [[1],[4],[7]] the
Ah, yes, I hadn't realized that OpenBLAS could not be compiled with Visual
Studio. Thanks for that explanation.
Also, I had heard that 32bit mingw on Windows could still produce 64-bit
binaries. It looks like there are OpenBLAS binaries available for
Windows 32 and Windows 64 (two flavors
Travis Oliphant wrote:
> Microsoft has actually released their Visual Studio 2008 compiler stack so
> that OpenBLAS and ATLAS could be compiled on Windows for these platforms as
> well. I would be very interested to see conda packages for these
> libraries which should be pretty straightforward
Only on Windows does free Anaconda link against the MKL. But, you are
correct, that the MKL-linked binaries can only be re-distributed if the
person or entity doing the re-distribution has a valid MKL license from
Intel.
Microsoft has actually released their Visual Studio 2008 compiler stack
Hi Travis,
the Anaconda binaries (free packages as well as the non-free addons) link
against Intel MKL - not against ATLAS. Are this binaries really free
redistributable as stated?
The lack of numpy/scipy 64bit windows binaries with opensource blas/lapack
with was one of the main reasons to start
