On Wed, Jul 8, 2009 at 19:11, John [H2O] wrote:
>
> Also, could someone please explain why:
>
> Tsub = T[ (T[:,0]>t1) & (T[:,0]
> Works, but:
>
> Tsub = T[ (t1
> Does not???
I'm not positive, but I think it boils down to this: Python tries to
look up the method from the first operand before the se
Also, could someone please explain why:
Tsub = T[ (T[:,0]>t1) & (T[:,0]http://www.nabble.com/Help-with-np.where-and-datetime-functions-tp24389447p24401687.html
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nhmc wrote:
>
>
>
> Also, if you don't need the indices, you can just use the conditional
> expression as a boolean mask:
>
condition = (t1 < Y[:,0]) & (Y[:,0] < t2)
Y[:,0][condition]
>
> Neil
>
'condition' is not an index array? Wouldn't it just be the indices as well?
Would i
Pierre GM-2 wrote:
>
>
>
> Would you like to give the scikits.timeseries package a try ? It's
> available at pytseries.sourceforge.net.
> Calculatng the hourly average should be straightforward.
>
I would, in fact I have been investigating it, but I didn't have numpy1.3 up
and running unti
On Jul 8, 2009, at 7:03 AM, John [H2O] wrote:
>
> Hello,
>
> I have several issues which require me to iterate through a fairly
> large
> array (30+ records).
>
> The first case is calculating and hourly average from non-regularly
> sampled
> data.
Would you like to give the scikits.time
John [H2O] gmail.com> writes:
> What I am trying to do (obviously?) is find all the values of X that fall
> within a time range.
>
> Specifically, one point I do not understand is why the following two methods
> fail:
>
> --> 196 ind = np.where( (t1 < Y[:,0] < t2) ) #same result
> with/
Hello,
I have several issues which require me to iterate through a fairly large
array (30+ records).
The first case is calculating and hourly average from non-regularly sampled
data. The second is screening one array, based on data in the second array.
The functions are defined below, but in
