Hi,
On Wed, Mar 30, 2011 at 1:44 PM, Éric Depagne wrote:
> >
> > Well I guess, for a slight performance improvement, you could create your
> > own streamlined histogrammer.
> >
> > But, in order to better grasp your situation it would be beneficial to
> know
> > how the counts and bounds are use
>
> Well I guess, for a slight performance improvement, you could create your
> own streamlined histogrammer.
>
> But, in order to better grasp your situation it would be beneficial to know
> how the counts and bounds are used later on. Just wondering if this kind
> massive histogramming could be
Hi,
On Wed, Mar 30, 2011 at 10:04 AM, Éric Depagne wrote:
> Hi.
>
> Sorry for not having been clearer. I'll explain a little bit.
>
> I have 4k x 4k images that I want to analyse. I turn them into numpy arrays
> so
> I have 4k x 4k np.array.
>
> My analysis starts with determining the bias level
How about something like this:
# numpy 1.6
def rowhist(A, bins=100):
assert (bins > 0)
assert isinstance(bins, int)
rownum = np.arange(A.shape[0]).reshape((-1, 1)).astype(int) * bins
intA = (bins * (A - A.min()) / float(A.max() - A.min())).astype(int)
intA[intA == bins] = bins
Hi.
Sorry for not having been clearer. I'll explain a little bit.
I have 4k x 4k images that I want to analyse. I turn them into numpy arrays so
I have 4k x 4k np.array.
My analysis starts with determining the bias level. To do that, I compute for
each line, and then for each row, an histogram
Hi,
On Tue, Mar 29, 2011 at 5:13 PM, Éric Depagne wrote:
> > FWIW, have you considered to use
> >
> http://docs.scipy.org/doc/numpy/reference/generated/numpy.histogramdd.html#
> > numpy.histogramdd
> >
> > Regards,
> > eat
> >
> I tried, but I get a
> /usr/lib/pymodules/python2.6/numpy/lib/funct
> FWIW, have you considered to use
> http://docs.scipy.org/doc/numpy/reference/generated/numpy.histogramdd.html#
> numpy.histogramdd
>
> Regards,
> eat
>
I tried, but I get a
/usr/lib/pymodules/python2.6/numpy/lib/function_base.pyc in
histogramdd(sample, bins, range, normed, weights)
370
Hi,
On Tue, Mar 29, 2011 at 4:29 PM, Éric Depagne wrote:
> Hi all.
>
> Sorry if this question has already been asked. I've searched the archive,
> but
> could not find anything related, so here is my question.
>
> I'm using np.histogram on a 4000x4000 array, each with 200 bins. I do that
> on
>
Hi all.
Sorry if this question has already been asked. I've searched the archive, but
could not find anything related, so here is my question.
I'm using np.histogram on a 4000x4000 array, each with 200 bins. I do that on
both dimensions, meaning I compute 8000 histograms. It takes around 5 seco
