Thanks for the help, i've learnt a lot and also figured out something
that does what I want, i'll paste an interactive session below:
x = zeros((4,7))
x
array([[0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0]])
index = arange(min(x.shape[0], x.shape[1]))
index2 = copy.deepcopy(index) #deep copy may be overkill
for a,b in enumerate(index):
... index2[a] += a
...
if len(x[:,0]) > len(x[0]):
... x[index2,index] +=1
... else:
... x[index,index2] +=1
...
x
array([[1, 0, 0, 0, 0, 0, 0],
[0, 0, 1, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0],
[0, 0, 0, 0, 0, 0, 1]])
Thanks for the tips
Dave Novakovic
P.S. subscribed to the list now
Bill Baxter wrote:
> Forgot to CC you...
>
> ---------- Forwarded message ----------
> From: Bill Baxter <[EMAIL PROTECTED]>
> Date: Oct 12, 2006 8:58 AM
> Subject: Re: [Numpy-discussion] incrementing along a diagonal
> To: Discussion of Numerical Python
> <numpy-discussion@lists.sourceforge.net>
>
>
> On 10/12/06, David Novakovic <[EMAIL PROTECTED]> wrote:
>> Johannes Loehnert wrote:
>> This is very nice, exactly what i want, but it doesnt work for mxn
>> matricies:
>>
>> >>> x = zeros((5,3))
>> >>> x
>> array([[0, 0, 0],
>> [0, 0, 0],
>> [0, 0, 0],
>> [0, 0, 0],
>> [0, 0, 0]])
>> >>> index = arange(min(x.shape[0],x.shape[1]))
>> >>> x[index,index] += 1
>> >>> x
>> array([[1, 0, 0],
>> [0, 1, 0],
>> [0, 0, 1],
>> [0, 0, 0],
>> [0, 0, 0]])
>
> Exactly what output are you expecting? That is the definition of the
> 'diagonal' for a non-square matrix. If you're expecting something
> else then what you want is not the diagonal.
>
>> Just for reference, this is the line of perl i'm trying to port:
>>
>>
>> like:
>>
>> for index in diag_iter(matrix,*axes):
>> matrix[index] +=1
>
> That's not going to change the mathematical definition of the diagonal
> of a non-square matrix.
>
>> PS: If anyone would care to link me to the subscription page for the
>> mailing list so you dont have to CC me all the time :)
>
> Check the bottom of this message.
>
>> _______________________________________________
>> Numpy-discussion mailing list
>> Numpy-discussion@lists.sourceforge.net
>> https://lists.sourceforge.net/lists/listinfo/numpy-discussion
>>
>
> --bb
>
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