I realized if I re-build numpy it takes the interpreter compile options or you
can edit site.cfg.
I actually solved the issue by getting the newest svn copy of numpy. It must be
something with 1.6b2. The newest SVN has no issues with either library and
calls to sum or prod. I was getting
I have a function in two versions, one vectorized, one with loop
the vectorized function gets all randn variables in one big array
rvs = distr.rvs(args, **{'size':(nobs, nrep)})
the looping version has:
for irep in xrange(nrep):
rvs = distr.rvs(args, **{'size':nobs})
the rest
On Mon, May 23, 2011 at 11:33 AM, josef.p...@gmail.com wrote:
I have a function in two versions, one vectorized, one with loop
the vectorized function gets all randn variables in one big array
rvs = distr.rvs(args, **{'size':(nobs, nrep)})
the looping version has:
for irep in
On Mon, May 23, 2011 at 11:42 AM, Keith Goodman kwgood...@gmail.com wrote:
On Mon, May 23, 2011 at 11:33 AM, josef.p...@gmail.com wrote:
I have a function in two versions, one vectorized, one with loop
the vectorized function gets all randn variables in one big array
rvs = distr.rvs(args,
On Mon, May 23, 2011 at 13:33, josef.p...@gmail.com wrote:
I have a function in two versions, one vectorized, one with loop
the vectorized function gets all randn variables in one big array
rvs = distr.rvs(args, **{'size':(nobs, nrep)})
the looping version has:
for irep in
On 05/23/2011 02:02 PM, Robert Kern wrote:
On Mon, May 23, 2011 at 13:33,josef.p...@gmail.com wrote:
I have a function in two versions, one vectorized, one with loop
the vectorized function gets all randn variables in one big array
rvs = distr.rvs(args, **{'size':(nobs, nrep)})
the
On Mon, May 23, 2011 at 3:02 PM, Robert Kern robert.k...@gmail.com wrote:
On Mon, May 23, 2011 at 13:33, josef.p...@gmail.com wrote:
I have a function in two versions, one vectorized, one with loop
the vectorized function gets all randn variables in one big array
rvs = distr.rvs(args,
On Mon, May 23, 2011 at 12:34 PM, josef.p...@gmail.com wrote:
Obviously I was working by columns, using a transpose worked, but
rewriting to axis=1 instead of axis=0 which should be more efficient
since I had almost all calculations by columns, I needed
params = map(lambda x:
On Mon, May 23, 2011 at 3:27 PM, Bruce Southey bsout...@gmail.com wrote:
On 05/23/2011 02:02 PM, Robert Kern wrote:
On Mon, May 23, 2011 at 13:33,josef.p...@gmail.com wrote:
I have a function in two versions, one vectorized, one with loop
the vectorized function gets all randn variables in
