On Wed, Feb 6, 2013 at 2:17 PM, Sebastian Berg <sebastian@sipsolutions.net> wrote:
On Wed, 2013-02-06 at 13:08 -0500, josef.pktd@gmail.com wrote:
I'm convinced that I saw a while ago a function that uses a list of interval boundaries to index into an array, either to iterate or to take. I thought that's very useful, but didn't make a note.
Now, I have no idea where I saw this (I thought numpy), and I cannot find it anywhere.
any clues?
It does not quite sound like what you are looking for, but the only thing I can think of in numpy right now that does something in that direction is the ufunc.reduceat functionality:
In [1]: a = np.arange(10)
In [2]: a[2:5].sum(), a[5:9].sum(), a[9:].sum() Out[2]: (9, 26, 9)
In [3]: np.add.reduceat(a, [2, 5, 9]) Out[3]: array([ 9, 26, 9])
That's what I remembered seeing, but obviously I didn't remember it correctly. Not useful for my current case, but I will keep it in mind to clean up some other code. I will need a python loop after all to take a list of (unequal length) slices out of an array. Thank you, Josef
Regards,
Sebastian
Thanks,
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