On 07.12.2011, at 5:54AM, questions anon wrote:
> sorry the 'all_TSFC' is for my other check of maximum using concatenate and
> N.max, I know that works so I am comparing it to this method. The only reason
> I need another method is for memory error issues.
> I like the code I have written so far as it makes sense to me. I can't get
> the extra examples I have been given to work and that is most likely because
> I don't understand them, these are the errors I get :
>
> Traceback (most recent call last):
> File "d:\plot_summarystats\test_plot_remove_memoryerror_max.py", line 46,
> in <module>
> N.maximum(a,TSFC,out=a)
> ValueError: non-broadcastable output operand with shape (106,193) doesn't
> match the broadcast shape (721,106,193)
>
> and
>
OK, then it seems we did not indeed grasp the entire scope of the problem -
since you have initialised a from the previous array TSFC (not from TSFC[0]?!),
this can
only mean the arrays read in come in different shapes? I don't quite understand
how the
previous version did not raise an error then; but if you only want the
(106,193)-subarray
you have indeed to keep the loop
for b in TSFC[:]:
N.maximum(a,b,out=a)
But you would have to find some way to distinguish between ndim=2 and ndim=3
input,
if really both can occur...
>
> Traceback (most recent call last):
> File "d:\plot_summarystats\test_plot_remove_memoryerror_max.py", line 45,
> in <module>
> if not instance(a, N.ndarray):
> NameError: name 'instance' is not defined
>
Sorry, typing error (or devious auto-correct?) - this should be 'isinstance()'
Cheers,
Derek
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