(meant this to go to the list too)
Christiaan Putter wrote:
> I'm having trouble understanding what it is you exactly want.
That's likely my fault ;-)
> You said you want to indicate that 'the monthly usage between September 1st
> and January 1st
> was, on average, the same as that between January 1st and February 1st.'
Yes, but "monthly" is a red herring here, the time periods are however
long it's been since myself or the utility company checked the meter ;-)
> The measurement your taking is not in fact the utility usage for one month,
> but rather the sum of all usage over all prior months.
Not really, and this was definitely me being unclear...
We're talking about utility meters here, so you go and look at them and
they show how many units of whatever it is (water, electicity, etc) they
have delivered.
So, that's how you get the time series (with more variation, to show
reality, and avoid red herrings like "month"):
2007/09/13 - 5000
2008/01/02 - 8000
2008/02/08 - 9000
2008/02/12 - 9100
So, the differences tell us:
Between 2007-09-13 and 2008-01-02, 3000 units were used
Between 2007-01-02 and 2008-02-08, 1000 units were used
Between 2007-02-08 and 2008-02-12, 100 units were used
So I guess it's this data that I'm looking to visualise in such a way
that it's apprarent how much of the utility is being per unit time.
NB: The measurements aren't regular, since they often come from when a
person turns up and reads the meter, which isn't at all regular ;-)
Does that make more sense? Any ideas?
cheers,
Chris
--
Simplistix - Content Management, Zope & Python Consulting
- http://www.simplistix.co.uk
-------------------------------------------------------------------------
This SF.net email is sponsored by: Microsoft
Defy all challenges. Microsoft(R) Visual Studio 2008.
http://clk.atdmt.com/MRT/go/vse0120000070mrt/direct/01/
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
