On Tue, Jul 4, 2017 at 1:32 AM, wrote:
> Hi Brian
>
>
> First of all thanks for the answer, the explanations and the advices; as
> mentioned I've to think differently in order to code with efficiency.
>
> 1.: yes 'mat[:,0]=vect0' works fine and I understand why :-)
>
> 2. more generally, I've rea
Hi Brian
First of all thanks for the answer, the explanations and the advices; as
mentioned I've to think differently in order to code with efficiency.
1.: yes 'mat[:,0]=vect0' works fine and I understand why :-)
2. more generally, I've read some tutorials or presentations saying that
Numpy i
There are a couple of interesting observations here. In your first bit, you
have:
> ## works with a row vector
> vect0 = np.random.rand(5)
> mat[:,0]=np.transpose(vect0)
(or I prefer vect0.T). Did you happen to notice that this works too:
> mat[:,0]=vect0
>
The transpose or the original work
Dear All
I'm a like matlab user (more specifically a Scilab one) for years, and
because I've to deal with huge ascii files (with dozens of millions of
lines), I decided to have a look to Python and Numpy, including
vectorization topics.
Obviously I've been influenced by my current feedbacks.
