[SciPy-user] converting hourly series to annual unneccessaryly masks data
Thu Jan 8 12:49:15 CST 2009
> The documentation is still a bit lacking, sorry. Still, in the
> docstring of convert, you can see that if you don't precise a func
> input parameter, the series is converted to 2D, as stated:
> If ``func`` is not given, the output series group the points
> of the
> initial series that share the same new date. For example, if
> initial series has a daily frequency and is 1D, the output
> series is
No problem here.
We discussedit already here:
aggregation of long-term time series
> 1. You're not starting at 01/01:00-00, but 8 days later
Yes, I am aware of it.
> 2. We are using this 366d year: as there are no leap year in your
> range of years, the last 24 data of each line will be masked.
This explains what I was looking for.
Because it affects how I handle the data later.
I need averages for all hours over the years:
=> this the data array for the new one-year hourly time series (8760 h).
And since the data is masked at the and, I am lacking a day when I build the
Is there a way to handle this generically?
I mean if my long-term years contain a leap year I neeed the masked points but
How would you suggest to build the one-year hourly average time series in a
A example case what I am aiming at:
Averge hourly temperatures over 20 years of data.
> 3. You don't finish at 12/31-23:00, but (365-8) days earlier.
I also know this here.
> So all is well and works as expected (developer-wise), no need for a
> ticket (good reflex, though).
Sorry, too fast.
> Now, of course, you need to tell us what you were expecting, and what
> kind of average you wanted to calculate.
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