2009/11/28 Wayne Watson sierra_mtnv...@sbcglobal.net:
Anne Archibald wrote:
2009/11/28 Wayne Watson sierra_mtnv...@sbcglobal.net:
I was only illustrating a way that I would not consider, since the
hardware has already created the pdf. I've already coded it pretty much
as you have suggested.
On Sun, Nov 29, 2009 at 6:15 PM, Anne Archibald
peridot.face...@gmail.comwrote:
2009/11/28 Wayne Watson sierra_mtnv...@sbcglobal.net:
Anne Archibald wrote:
2009/11/28 Wayne Watson sierra_mtnv...@sbcglobal.net:
I was only illustrating a way that I would not consider, since the
hardware
On Fri, Nov 27, 2009 at 9:25 PM, Wayne Watson
sierra_mtnv...@sbcglobal.netwrote:
I actually wrote my own several days ago. When I began getting myself
more familiar with numpy, I was hoping there would be an easy to use
version in it for this frequency approach. If not, then I'll just stick
David Goldsmith wrote:
On Fri, Nov 27, 2009 at 9:25 PM, Wayne Watson
sierra_mtnv...@sbcglobal.net mailto:sierra_mtnv...@sbcglobal.net
wrote:
I actually wrote my own several days ago. When I began getting myself
more familiar with numpy, I was hoping there would be an easy to use
2009/11/28 Wayne Watson sierra_mtnv...@sbcglobal.net:
I was only illustrating a way that I would not consider, since the
hardware has already created the pdf. I've already coded it pretty much
as you have suggested. As I think I mention ed above, I'm a bit
surprised numpy doesn't provide the
How would I do that?
Anne Archibald wrote:
2009/11/28 Wayne Watson sierra_mtnv...@sbcglobal.net:
I was only illustrating a way that I would not consider, since the
hardware has already created the pdf. I've already coded it pretty much
as you have suggested. As I think I mention ed above,
How do I compute avg, std dev, min, max and other simple stats if I only
know the frequency distribution?
--
Wayne Watson (Watson Adventures, Prop., Nevada City, CA)
(121.015 Deg. W, 39.262 Deg. N) GMT-8 hr std. time)
Obz Site: 39° 15' 7 N, 121° 2' 32 W,
On Fri, Nov 27, 2009 at 9:47 PM, Wayne Watson
sierra_mtnv...@sbcglobal.net wrote:
How do I compute avg, std dev, min, max and other simple stats if I only
know the frequency distribution?
If you are willing to assign to all observations in a bin the value at
the bin midpoint, then you could do
I actually wrote my own several days ago. When I began getting myself
more familiar with numpy, I was hoping there would be an easy to use
version in it for this frequency approach. If not, then I'll just stick
with what I have. It seems something like this should be common.
A simple way to do
