Joris De Ridder wrote: > As far as I understand, the algorithm works as follows: > > 1) Define what you mean by "dense" points > a) init what you mean by far_away > b) start at the first point, and loop over the points until you find one > far_away > c) hop to that one, continue looping until you find again a point far_away > d) hop to that one, continue looping... etc until you looped over all > points > e) count the number of hops. > If all points turn out to be far away from each other, 'far_away' > was too conservative -> increase far_away and repeat steps b)-e). > In the other case: you found a definition of "dense"
This is an odd way to do it. It seems to me that the only way to define "dense" is by resolution. What resolution do you want to be able to display? As PS is scalable, this isn't an easy question, but it is at least limited by the resolution of PS -- does PS use floating or fixed point, and what precision? Resolution could also be a user-settable property. Another way to define resolution is by how you are drawing the points. If you are drawing dots at 1pt diameter, then there is no reason to plot two separate dots that are only 0.1pt from each-other. -Chris -- Christopher Barker, Ph.D. Oceanographer NOAA/OR&R/HAZMAT (206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception [EMAIL PROTECTED] ------------------------------------------------------------------------- Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642 _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users