On Sunday 09 March 2008 13:35:27 Giorgio F. Gilestro wrote:
> Pierre, I did some adjusting to some of the functions in
> scipy.stats.stats and more I am planning to do - not all but those I'll
> need I am afraid. Is it ok if I send you what I'll have so that you have
> a look at it (at your conven
Ok generic functions and a ma.stats specific module sounds very good to
me. Hope is going to happen for ma are a great plus.
Pierre, I did some adjusting to some of the functions in
scipy.stats.stats and more I am planning to do - not all but those I'll
need I am afraid. Is it ok if I send you
On Friday 07 March 2008 12:25:13 Giorgio F. Gilestro wrote:
> Ok, I see, thank you Pierre.
> I thought scipy.stats would have been a widely used extension so I
> didn't really consider the trivial possibility that simply wasn't
> compatible with ma yet.
Partly my fault here, as I should have porte
Giorgio F. Gilestro wrote:
> Hi Everybody,
> I have some arrays that sometimes need to have some of their values
> masked away or, simply said, not considered during manipulation.
> I tried to fulfill my purposes using both NaNs and MaskedArray but
> neither of them really helped completely.
>
>
Ok, I see, thank you Pierre.
I thought scipy.stats would have been a widely used extension so I
didn't really consider the trivial possibility that simply wasn't
compatible with ma yet.
I had a quick look at the code and it really seems that ma handling can
be achieved by replacing np.asarray wi
On Friday 07 March 2008 09:56:59 Giorgio F. Gilestro wrote:
> Hi Everybody,
> My understanding is that only a few functions will be able to properly
> use MA during execution. Is this correct or am I missing something here?
Giogio,
You're right: there's no full support of masked arrays in Scipy y
Hi Everybody,
I have some arrays that sometimes need to have some of their values
masked away or, simply said, not considered during manipulation.
I tried to fulfill my purposes using both NaNs and MaskedArray but
neither of them really helped completely.
Let's give an example:
from numpy impor
