Chris Withers wrote:
> Alan G Isaac wrote:
>> On Tue, 18 Mar 2008, Chris Withers apparently wrote:
>>> Say I have an aribtary number of arrays:
>>> arrays = [array([1,2,3]),array([4,5,6]),array([7,8,9])]
>>> How can I sum these all together?
>> Try N.sum(arrays,axis=0).
>
> I assume N here is:
>
> import numpy as N?
>
> Yep, it is... and that works exactly as I expect.
>
> Where are the docs for sum? Having had the book turn up as a massive PDF
> with a poor index/toc, I'm finding it just as difficult to navigate as
> the online docs :-(
> (I, like most people on this list I'd guess, sadly don't have the time
> to sit and read the whole book cover-to-cover to extract the 10-20% I
> need to know :-S)
>
>> But must they be in a list?
>> An array of arrays (i.e., 2d array) is easy to sum.
>
> Actually, I'm using a dict of arrays:
>
> data = {
> 'series1':array([1,2,3]),
> 'series2':array([1,4,6]),
> 'date':array([datetime(...),datetime(...),datetime(...)]),
> }
>
> If that gives the idea?
Hm, in this case you can do it like this:
numpy.sum(numpy.array([numpy.sum(v) for k,v in data.items()]))
> Is there perhaps a better way to store these series?
> (I'm a numpy newbie, I've skimmed the tutorial and it doesn't appear to
> help here)
>
> cheers,
>
> Chris
>
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