Groups | Search | Server Info | Keyboard shortcuts | Login | Register [http] [https] [nntp] [nntps]
Groups > comp.lang.python > #63908 > unrolled thread
| Started by | Chris Angelico <rosuav@gmail.com> |
|---|---|
| First post | 2014-01-15 01:26 +1100 |
| Last post | 2014-01-15 01:26 +1100 |
| Articles | 1 — 1 participant |
Back to article view | Back to comp.lang.python
This discussion starts older than the indexed window; earlier articles aren't shown. The article labeled Started by
below is the oldest one visible, not the original post.
Re: efficient way to process data Chris Angelico <rosuav@gmail.com> - 2014-01-15 01:26 +1100
| From | Chris Angelico <rosuav@gmail.com> |
|---|---|
| Date | 2014-01-15 01:26 +1100 |
| Subject | Re: efficient way to process data |
| Message-ID | <mailman.5460.1389709601.18130.python-list@python.org> |
On Wed, Jan 15, 2014 at 1:18 AM, Larry Martell <larry.martell@gmail.com> wrote: > if you're interested in what the application is, this is data > collected with an electron microscope from semiconductor wafers as > they are being manufactured. The x and y are the position on the wafer > that the data was collected, in microns. If 2 data points are > collected within 1 micron of each other they need to be combined when > being analyzed. As far as I'm concerned, you won geek cred the moment you said "electron microscope", and "semiconductor wafers as they are being manufactured" is just gravy I don't suppose you want to hire another programmer? :) Do you actually mean here that the two points need to be within 1 micron, or that data gets combined if it's nearby in *either* coordinate? There are libraries for figuring out if two things are near each other - I'm not 100% sure, but you might be able to do this inside PostgreSQL (though that just gets back to the previous rule: can't move off MySQL). Treat every data point as a circle or square, and then look for overlap. ChrisA
Back to top | Article view | comp.lang.python
csiph-web